Chinese Journal of Magnetic Resonance Imaging RSS feed

Magnetic resonance voxel analysis and diffusion kurtosis imaging of medial temporal lobe in patients with temporal lobe epilepsy and cognitive impairment

Mon,20 Feb 2023 00:00:00 GMT

Objective In this study, diffusion kurtosis imaging (DKI) and voxel-based morphometry (VBM) techniques were used to investigate the changes of brain macro-structure and micro-structure in patients with temporal lobe epilepsy (TLE) with or without cognitive function. Materials and Methods A total of eighty TLE patients treated in the Department of Neurology, Yan^{^,}An Hospital Affiliated to Kunming Medical University from January 2018 to March 2022 were retrospectively analyzed, including forty patients with cognitive impairment and forty patients without cognitive impairment, and forty healthy controls (HC) matched with sex, age and years of education were recruited. The Montreal Cognitive Assessment Scale Beijing Edition was used to evaluate the cognitive function, and a score lower than twenty-six was considered as having cognitive impairment. The DKI and VBM data of TLE patients and healthy controls were collected by three tesla superconducting magnetic resonance scanner, and the parameters were calculated and analyzed. Results The electroencephalography of 80 TLE patients showed multiple abnormal bands in left or right temporal region, including sharp-slow and spine-slow complex waves. VBM results showed that gray matter volume of the left hippocampus, bilateral lingual gyrus, left thalamus, cingulate gyrus and cuneus decreased in TLE group with cognitive impairment compared with the healthy group. The volume of gray matter in the left hippocampus decreased in TLE with and without cognitive impairment compared with TLE without cognitive impairment. There was no difference in gray matter volume between TLE group without cognitive impairment and healthy group. DKI results showed that there was a statistically significant difference in mean kurtosis (MK) among all groups (P＜0.001), and the MK and fractional anisotropy (FA) values of the healthy group, TLE group without cognitive impairment, and TLE group with cognitive impairment showed a downward trend. Pair comparison showed that there were statistically significant differences in MK and FA values among all groups. Conclusions The results of VBM and DKI analysis can be used to determine the brain structure changes of TLE with and without cognitive impairment. The micro injury of brain parenchyma in TLE patients is earlier than the decrease of gray matter volume, which has certain clinical value for clinical treatment and prognostic evaluation.

Quantitative susceptibility mapping of substantia nigra in the diagnosis of Parkinson^{^,}s disease: A Meta analysis

Mon,20 Feb 2023 00:00:00 GMT

Objective To systematically evaluate the diagnostic performance of quantitative susceptibility mapping (QSM) in the substantia nigra for Parkinson^{^,}s disease (PD) using Meta-analysis. Materials and Methods A systematic literature search in the PubMed, EMBASE, the Cochrane Library, Web of Science, CNKI, Wanfang Data, China Biology Medicine disc (CBMdisc) and VIP databases was performed for studies about QSM in the diagnosis of PD from inception to May 2022. Two researchers independently screened literature, extracted data, and assessed the risk of bias of the included studies. RevMan 5.0 and Stata 17.0 software were used for Meta-analysis. Results A total of 16 studies including 702 patients with PD and 497 healthy control participants were enrolled in this Meta-analysis. QSM showed a pooled sensitivity (Sen), specificity (Spe), positive likelihood ratio (+LR), negative likelihood ratio (-LR), and diagnostic odds ratio (DOR) with their 95% confidence intervals (CI) of 0.87 (0.83-0.90), 0.77 (0.69-0.84), 3.84 (2.74-5.39), 0.17 (0.12-0.22) and 23.19 (13.41-40.07). The area under the curve (AUC) was 0.90 (0.87-0.93). According to subgroup analysis, the AUC of a specific measurement of substantial nigra pars compacta [AUC＝0.90 (95% CI: 0.87-0.92)], slice thickness ≤1 mm [AUC＝0.93 (95% CI: 0.91-0.95)] is superior than measurement of the whole substantial pars [AUC＝0.81 (95% CI: 0.77-0.84)], slice thickness ＞1 mm [AUC＝0.88 (95% CI: 0.85-0.91)]. Deek^{^,}s funnel plot showed no publication bias (P=0.24). Conclusions The current evidence shows that QSM had a favorable diagnostic performance in diagnosing PD, especially in a specific measurement of substantial nigra or slice thickness ≤1 mm, which provides imaging basis for early diagnosis and follow-up of PD.

The value of MAP-MRI and DCE-MRI in differentiating glioblastoma from brain metastases

Mon,20 Feb 2023 00:00:00 GMT

Objective To explore the clinical value of mean apparent propagator MRI (MAP-MRI) and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating glioblastoma (GBM) from brain metastases (BMs). Materials and Methods Twenty-seven patients with GBM [isocitrate dehydrogenase-wildtype (IDH-wt)] who were confirmed by surgery and twenty-four patients with BMs confirmed by surgery or clinical follow-up performed conventional MRI sequences, diffusion spectrum imaging (DSI) and DCE-MRI. The parameters of MAP-MRI were obtained by DSI analysis. And the parameters of DCE are processed by Siemens workstation. The parameters of the tumor parenchyma area and peritumoral edema area and the contralateral normal brain tissue in these two groups were measured on each parameter map. To minimize individual differences, the values of each parameter were divided by the values of the contralateral normal brain tissue to obtain the relative values of each parameter. χ2 test was used to compare the gender of the two groups; independent samples t-test and Mann-Whitney U-test were used to compare the parameters and relative parameters of MAP-MRI and DCE-MRI between the two groups. PP=0.327 and P=0.247). In the GBM (IDH-wt) group, the non Gaussian axial (NGAx), non Gaussian vertical (NGRad), return to the axis probability (RTAP) and return to the plane probability (RTPP) were higher than those of BMs group, and mean square displacement (MSD) was lower than that in BMs group, and the difference was significant (Ptrans) of peritumoral edema area in GBM (IDH-wt) group was higher than that in BMs, while the relative rate constant (rKep) was lower than that in BMs group, and the difference was significant (P＜0.05). RTPP and NGAx of tumor parenchyma area are the parameters with higher AUC for differentiating GBM (IDH-wt) group BMs. The AUC is 0.985 and 0.937, and the sensitivity is 0.963 and 0.926, and the specificity is 0.917 and 0.833, respectively. Conclusions MAP-MRI and DCE-MRI showed great diagnostic value in differentiating GBM (IDH-wt) from BMs. RTPP and NGAx in tumor parenchymal area could be used as good imaging markers.

Multimodal MRI manifestations of high altitude cerebral edema

Mon,20 Feb 2023 00:00:00 GMT

Objective Based on T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), fluid attenuated inversion recovery (FLAIR), diffusion weighted imaging (DWI), susceptibility weighted imaging (SWI) and apparent diffusion coefficient (ADC) value, the brain imaging manifestations of high-altitude cerebral edema (HACE) were comprehensively analyzed, and to explore its damage characteristics. Materials and Methods Thirty patients with HACE diagnosed from January 2012 to August 2022 were collected. The general clinical data of the patients were statistically analyzed and classified according to clinical symptoms. Then, all patients underwent multi-sequence (T1WI, T2WI, FLAIR, DWI) MRI examination, among which 9 patients also underwent SWI examination. Finally, the images were analyzed. Results (1) According to the clinical symptoms, 30 cases of HACE were divided into 12 mild cases and 18 severe cases. There was no significant difference in gender, age, leukocyte, neutrophil and glucose content between mild and severe HACE (all P＞0.05). (2) The edema range of severe HACE in deep and juxtacortical white matter and corpus callosum was significantly larger than that of mild HACE, and the ADC value in the splenium of corpus callosum was significantly lower than that of mild HACE, and the above differences were statistically significant (PP=0.001, P=0.049, respectively). (3) In mild and severe HACE, the signal intensity of DWI was significantly higher than that of conventional MRI sequences (T1WI, T2WI, FLAIR), and the difference was statistically significant (P=0.008, P=0.025, respectively). (4) In severe HACE, 7 cases had obvious bilateral thalamic level corticospinal tract edema (7/18, 38.9%), and SWI showed 5 cases with cerebral microbleeds (CMB), with the corpus callosum as the center (5/9, 55.6%). Conclusions DWI sequence has obvious advantages in the evaluation of HACE. The white matter injury in severe HACE is more severe and extensive than that in mild HACE, especially in corpus callosum, and some of them may also have CMBs and corticospinal tract edema.

Diagnosis of neonatal bilirubin encephalopathy based on quantitative analysis of multiparameter magnetic resonance imaging

Mon,20 Feb 2023 00:00:00 GMT

Objective To explore the value and optimal parameters of quantitative analysis of globus pallidus (GP), putamen(P) and thalamus (T) signal intensity on T1WI, T2WI, and apparent diffusion coefficient (ADC) images for the early diagnosis of neonatal bilirubin encephalopathy (NBE). Materials and Methods We collected the clinical and imaging data of full-term NBE children from January 2018 to July 2022 in Shenzhen Children^{^,}s Hospital, and age- and gender-matched normal neonates were selected as controls. The software measureed the signal intensity of GP, P and T. Two independent samples t test was used to compare and analyze the signal intensity of GP, T, the ratio of GP to P on T1WI, T2WI, ADC (GP/P1, GP/P2, GP/PA) and the ratio of T to P on T1WI, T2WI, ADC (T/P1, T/P2, T/PA); We analyzed the receiver operating characteristic (ROC) curve to find the optimal MRI parameters for the diagnosis of NBE. According to the scores of bilirubin induced neurological dysfunction, children with NBE were divided into three groups: mild, moderate and severe, one-way analysis of variance was used to compare and analyze the differences among the three groups of NBE children. Results There were 60 children with NBE, 22 were mild, 24 were moderate, 14 were severe, and 31 were in the normal control group. The results of two independent samples t test showed that: in T1WI images, the GP and T signal intensity and ratios (GP/P1, T/P1) were higher than those in the normal control group, and the differences were statistically significant (P2, T/P2, GP/PA, T/PA) were not significantly different (P＞0.05). The ROC curve analysis showed that the area under the curve (AUC) of GP and T signal intensity in T1WI images were 0.785, 0.870, respectively, and the optimal critical threshold was 267.83 and 295.17, respectively; the AUC of G/P1 and T/P1 in T1WI images was 0.794 and 0.756, and the optimal critical threshold was 1.41, 1.13, respectively. One-way analysis of variance showed that the higher the clinical severity of NBE, the higher the GP and T signal intensity in T1WI images, and the higher the GP/P1 and T/P1 ratios. Conclusions Quantitative analysis of magnetic resonance signal intensity based on T1WI images can diagnose NBE early and objectively. The signal intensity of GP and T and the ratio of GP/P1 and T/P1 on T1WI images can be the optimal MRI parameters to diagnose NBE early and accurately and grade the severity of NBE dynamically. Also, above parameters provide objective imaging evidence for clinical diagnosis and treatment of NBE.

Functional connectivity of the primary visual cortex in patients with comitant exotropia

Mon,20 Feb 2023 00:00:00 GMT

Objective Based on the resting state functional connection (RSFC) method, this study studied the functional connectivity of primary visual cortex (V1) in patients with concomitant exotropia (CE). Materials and Methods The clinical data of 24 CE patients (CE group) and 24 healthy controls (HC group) matched for sex and age with the CE group were retrospectively analyzed, patients in both groups were scanned by 3.0 T MRI. The functional connection (FC) of the V1 of the two groups were analyzed by RSFC method, and the differences of FC of V1 between the two groups were compared by double sample t test. Results Compared with the healthy control group, there was no significant difference in sex and age between the two groups (P＞0.05). The FC between bilateral V1 and Cerebelum_7b_L was enhanced in CE group (GRF correction, voxel level PP＜0.05). Conclusions The enhancement of FC between bilateral V1 and the lower cerebellum in patients with CE may provide a reference for the neuropathological mechanism of binocular visual impairment in patients with CE.

Differential diagnostic value of IVIM combining with dynamic enhanced MRI in non-mass enhancement adenosis and breast cancer

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the differential diagnostic value of IVIM in non-mass enhancement (NME) adenosis and breast cancer. Materials and Methods Retrospective analysis of 106 cases with NME manifestation on dynamic contrast-enhanced (DCE) MRI were performed between January 2020 and March 2022. The cases were divided into two groups according to pathological results: adenosis (n=55) and breast cancer (n=51), the intravoxel incoherent motion (IVIM) quantitative parameters [standard apparent diffusion coefficient (SADC), slow ADC (D), fast ADC (D*) and perfusion fraction (f)] were measured, and the lesion location and DCE characteristics [fibroglandular tissue (FGT), background parenchymal enhancement (BPE), distribution characteristics, internal enhancement characteristics, and time-signal intensity curve (TIC) type] were compared and analyzed, univariate analysis was used to analyze the normality of the two groups of data separately, the independent sample t-test was selected for the normal distribution data, and the nonparametric rank sum test was selected for the non-normal distribution, the statistical differences between the two groups were compared and the diagnostic efficacy was evaluated, the best parameters were screened out by multivariate logistic regression analysis for joint diagnosis, and the threshold, sensitivity and specificity were obtained by the receiver operating characteristic (ROC) curve analysis. Results Breast cancer had f was lower than adenosis [(0.52±0.14) vs. (0.58±0.11), P=0.028; threshold was 0.73], and D* was significantly higher than adenosis [(7.85±7.60)×10-3 mm2/s vs. (3.67±1.61)×10-3 mm2/s, P-3 mm2/s], with an area under the curve (AUC) for disease diagnosis of 0.608 and 0.730, respectively. Within breast cancer lesions were heterogeneous (54.9%), TIC (70.6%), adenosis (65.5%), and TIC type I (72.7%), both AUC for disease diagnosis were 0.709 and 0.810, respectively. D* and TIC types were independent risk factors for NME breast cancer (P=0.003 and 0.006, respectively), the AUC of both for disease diagnosis was 0.730 and 0.810, respectively, and the combination was significantly better (AUC=0.860, sensitivity was 72.5%, specificity was 85.5%). Further comparing pure adenosis (n=39) with sclerosing adenosis (n=16), the SADC, D, and f values were higher than those of sclerosing adenosis (P=0.076, 0.176, 0.181, respectively), D* value lower than adenosis (P=0.331); the internal enhancement characteristics of pure adenosis were dominated by homogeneous enhancement and heterogeneous enhancement (43.6% and 51.3%, respectively), while sclerosing adenosis cases were all heterogeneous enhancement, accounting for 100.0%, the difference was statistically significant (P=0.001), diagnostic performance with an AUC of 0.692, sensitivity was 100.0%. Conclusions Combining IVIM with DCE helps to improve the differential efficacy of MRI for the diagnosis of adenosis and breast cancer with NME manifestation. The TIC type and D* values are independent risk factors for predicting breast cancer with NME manifestation, and the internal enhancement features contribute to the ability of differentiation between the pure adenosis and sclerosing adenosis.

Application of 3.0 T MRI in evaluation of nipple areola complex invasion in breast cancer patients

Mon,20 Feb 2023 00:00:00 GMT

Objective Preoperative 3.0 T MRI was used to assess the value of nipple areola complex invasion in breast cancer patients. Materials and Methods Patients with primary operable breast cancer who underwent preoperative MRI examination and underwent surgical treatment from November 2019 to January 2022 were collected. The accuracy of MRI signs in judging the invasion of nipple areola complex (NAC) was evaluated by comparing the results of preoperative MRI and postoperative histopathology. Results There were 179 breast cancer patients, 40 were NAC positive groups, 139 were NAC negative groups. On the breast MRI the distance from tumor to nipple ≤0.75 cm, nipple retraction, tumor-to-NAC continuous enhancement sign, NAC skin thickening and unilateral nipple enhancement were helpful for the diagnosis of NAC invasion (P＜0.05). By plotting receiver operator characteristic curve, the distance between the tumor and the nipple was ≤0.75 cm, and the area under the curve for the diagnosis of NAC invasion was higher than the last four signs (0.862 vs. 0.739, 0.800, 0.696, 0.711). Conclusions The MRI features of breast (the distance from tumor to nipple, nipple retraction, tumor-to-NAC continuous enhancement sign, NAC skin thickening and unilateral nipple enhancement) provide an effective method for non-invasive preoperative evaluation of the invasion of the nipple areola complex in breast cancer, which can provide more valuable information before breast cancer surgery.

A preliminary clinical application of T2 mapping-based radiomics on MRI in breast diseases

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the diagnostic performance of radiomic features based on breast MRI T2 mapping in differentiating benign and malignant lesions. Materials and Methods This retrospective study included T2 mapping images of breast MRI from 113 patients (113 breast lesions: 51 benign lesions, 62 malignant lesions) confirmed by pathology. Breast lesions were segmented manually on the T2 mapping images, and radiomic features were then extracted and selected. They were divided into two groups according to the pathological results. The Kappa was measured by the intra-class correlation coefficients. The training set and test set were selected according to the ratio of 7∶3. Z-score, Pearson correlation coefficients, recursive feature elimination were used to select features in the training set. A radiomics-based predictive model using logistic regression was developed and calibrated with five-fold cross-validation. The receiver operating characteristic (ROC) curves were drawn in the training set and test set respectively to evaluate the diagnostic performance of the model. The model efficiency was evaluated using the clinical decision curve. Results A total of 107 features were extracted from T2 mapping images for each patient. Finally, 6 features (original_shape_Sphericity, original_glcm_InverseVariance, original_glrlm_GrayLevelNonUniformityNormalized, original_glrlm_ShortRunEmphasis, original_glszm_GrayLevelNonUniformityNormalized and original_ngtdm_Coarseness) were selected to construct the model for differentiating benign from malignant lesions. The area under the curve, sensitivity, specificity and accuracy of model in test set were 0.895 (95% confidence interval: 0.768-0.990), 94.7%, 80.0% and 88.2%. Conclusions T2 mapping-based radiomics method can be used to preoperatively discriminate benign and malignant lesions with high accuracy.

The diagnostic value of T1 mapping and APTw imaging in chronic kidney disease

Mon,20 Feb 2023 00:00:00 GMT

Objective To explore the value of T1 mapping and amide proton transfer weighted (APTw) imaging in differentiating chronic kidney disease (CKD) patients from healthy people. Materials and Methods A total of 21 cases of patients (6 females, 15 males) with CKD who underwent 3.0 T MRI from August 2019 to October 2020 were retrospectively collected. All patients were diagnosed according to the clinical practice guidelines of CKD in the department of nephrology of the First Affiliated Hospital of Dalian Medical University. At the same time, the data of 24 healthy volunteers were collected as the control group. All raw images were imported into the ISP workstation to generate pseudo-color images. Regions of interest (ROIs) of 10-20 mm2 were placed in the cortex and medulla, respectively. The ROIs were selected from the upper, middle and lower pole of the kidney by two radiologists in a double-blind method, avoiding the renal sinus, large blood vessels and perirenal tissues. The T1 values and APT values of the cortex and medulla were statistically analyzed by SPSS 26.0 software. Intra-class correlation coefficients (ICC) were used to test the consistency of the measurement results between observers. Independent sample t test or Mann-Whitney U test was used to analyze the difference of parameter values between the two groups according to the normal distribution of data, and P0.75). The renal cortical T1 value and cortical APT value in CKD group were significantly higher than those in healthy control group (P＜0.05). The AUC value of T1 value of left renal cortex in differentiating CKD was 0.887, the sensitivity was 66.7%, and the specificity was 100.0%. The AUC value of APT value of left renal cortex in identifying CKD was 0.966, with a sensitivity of 95.2% and a specificity of 95.8%. The AUC value of T1 value of right renal cortex in differentiating CKD was 0.960, the sensitivity was 76.2%, and the specificity was 100.0%. The APT value of right renal cortex had a AUC value of 0.921, a sensitivity of 85.7%, and a specificity of 91.7% for identifying CKD. Conclusions T1 mapping and APTw imaging can noninvasiously and effectively identify CKD. The quantitative parameters based on T1 mapping and APTw imaging can reflect the structural and functional changes of the left and right kidneys to a certain extent, which is expected to provide certain reference value for clinical disease diagnosis.

The value of ADC map and T2WI radiomics analysis of the primary tumor for prediction of bone metastases in prostate cancer

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the value of prediction model based on apparent diffusion coefficient (ADC) map and T2 weighted imaging (T2WI) unenhanced sequence radiomics of primary tumor in evaluating the bone metastasis in prostate cancer (PCa). Materials and Methods Unenhanced sequence MRI data (ADC map and T2WI) of 178 PCa patients (115/63 without/with bone metastases) confirmed by puncture or surgical pathology from two centers were retrospectively included. Patients from Center 1 were randomized in a 7∶3 ratio into a training group (n=97) and a test group (n=43), and patients from Center 2 (n=38) served as an external validation group. After image resampling, regions of interests (ROIs) were outlined and features were extracted on ADC and T2WI, respectively. Univariate analysis and least absolute shrinkage and selection operator (LASSO) were used for feature screening after consistency testing. Logistic regression analysis was used to construct the radiomics model, and the predictive efficacy of the model was evaluated using the area under the receiver operating characteristic (ROC) curve. The DeLong test was used to compare the models, and the calibration curve was used to evaluate the models. Results Ten and 3 imaging histological features were extracted from ADC and T2WI sequences, respectively, and 5 imaging histological features were extracted from the combined ADC+T2WI sequence for model building. The AUCs of the test group were 0.83 (95% CI: 0.71-0.95), 0.78 (95% CI: 0.62-0.93), and 0.81(95% CI: 0.67-0.95), respectively, and those of the external validation group were 0.82 (95% CI: 0.67-0.97), 0.69 (95% CI: 0.51-0.86), and 0.84 (95% CI: 0.72-0.97), respectively. The DeLong test showed significant difference between ADC+T2WI sequence radiomics model and T2WI single sequence radiomics model in external validation group (P=0.02), others showed no significant difference. Conclusions The ADC map single sequence radiomics models have relatively high predictive efficacy for the bone metastasis of PCa, and showed similar predictive effective compared with the ADC+T2WI combined sequence radiomics model, thus may be helpful to predict the risk of PCa bone metastasis in early stage.

The application of magnetic resonance diffusion kurtosis imaging in efficacy evaluation of early radiotherapy of cervical carcinoma

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the application value of MR diffusion kurtosis imaging (DKI) in evaluating the early efficacy of radiotherapy for cervical cancer. Materials and Methods The study included 21 patients with age of (57.24±10.35) years old. All patients were pathologically confirmed as cervical cancer, including 19 cases of cervical squamous cell carcinoma, one case of adenocarcinoma and one case of adenosquamous carcinoma. All patients underwent conventional MRI and DKI scanning with 3.0 T MR machine before radiotherapy, 10 fractions of radiotherapy and the same day after radiotherapy. The efficacy of radiotherapy was evaluated at 10 fractions according to the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST version 1.1). Among them, complete remission (CR) and partial remission (PR) were response groups. Stable disease (SD) and progressive disease (PD) were the non-response groups. The changes of each parameter of DKI at different stages of radiotherapy were analyzed and compared between the two groups and the receiver operating characteristic (ROC) curve of each parameter of DKI was drawn. Results Compared with the values before radiotherapy, the mean diffusivity (MD) values of lesions after radiotherapy were increased (PP=0.019) after radiotherapy. In addition, the response group had a significantly higher MD value than the non-response group before radiotherapy (P=0.016), but there was no significant difference after radiotherapy (P＞0.05). The response group had a significantly lower MK level than the non-response group before and after radiotherapy (PZ=1.264, P=0.206). However, the Youden index of combined diagnosis was higher, that is, the sensitivity (87.5%) and specificity (92.3%) were higher. Conclusions DKI has the ability to predict the early efficacy of radiotherapy for cervical carcinoma, and the combination of MD and MK has a better predictive ability than single application.

Clinical-radiomic analysis of multi-parametric magnetic resonance imaging predicts lymphovascular space invasion and outcomes in cervical cancer

Mon,20 Feb 2023 00:00:00 GMT

Objective The surgical outcomes for patients with cervical cancer (CC) are impaired by lymphovascular space invasion (LVSI). We analyzed the predictive efficacy of radiomic features extracted from pretreatment multi-parameter magnetic resonance imaging (mpMRI) to predict LVSI and clinical outcomes in CC patients due to the lack of a reliable indicator to predict LVSI before surgery. Materials and Methods A retrospective analysis of 125 individuals with CC was performed. We carried out a radiomic-based characterization on the pretreatment mpMRI to develop and validate a noninvasive imaging biomarker capable of distinguishing between LVSI + and LVSI-. The small field of view high-resolution T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), T2WI, and contrast-enhanced T1-weighted were included in the image modalities. The volume of interest of six different sequence images contained 107 extracted features in total. These features were then chosen using univariate analysis, LASSO, and stepwise logistic regression analysis. A Rad-score and 14 clinical factors were integrated into the combined (COMB) model, a stepwise logistic regression-based prediction model. Twenty times 3-fold cross-validation was repeated. The progression-free survival (PFS) survival curve was divided based on the follow-up results and the predicted LVSI status, and a difference in the model for the PFS grouping was observed. Results Radiomics related to intratumoral heterogeneity served as the primary indicator for LVSI prediction. The corresponding Rad-score varied considerably depending on the LVSI status (P＜0.001). Multivariate logistics identified 3 LVSI risk variables. The Rad-score was more important than squamous cell carcinoma antigen and hemoglobin [odds ratio (OR): 2.626, 1.061, 0.982]. The radiomic model has an area under the curve (AUC) in the training cohort of 0.823. The COMB model predicted a substantial difference in PFS between the LVSI + and LVSI-groups (median PFS: 64.8 vs. 58.3 months). Conclusions The LVSI status and clinical outcome of CC patients could be predicted using radiomics features in combination with mpMRI radiomics and clinical variates. It may show utility for improving patient stratification strategies in neoadjuvant and surgical settings. The potential of radiomic features to predict tumor prognosis may be connected to their capacity to reflect the histology of LVSI.

The value of ADC texture analysis in differential diagnosis of ovarian epithelial tumors

Mon,20 Feb 2023 00:00:00 GMT

Objective To explore the role of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) in differentiating benign, borderline and malignant ovarian epithelial tumors. Materials and Methods A retrospective analysis of 71 patients with ovarian epithelial tumors confirmed by postoperative pathology in Gansu Maternal and Child Health Hospital from January 2019 to September 2022, and patients who underwent routine MRI examination in our hospital before operation, introduced ADC sequence into Fire Voxel software and manually sketched the whole region of interest (ROI) of the lesion, and the software automatically generated histogram texture parameters (entropy, skewness, kurtosis, standard deviation, maximum, minimum, average). Single factor analysis of variance was used to evaluate the difference of texture parameters of ADC map among benign, borderline and malignant ovarian epithelial tumors. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the diagnostic efficacy of each parameter in the differential diagnosis of benign, borderline and malignant ovarian epithelial tumors. Results In the texture parameters of ADC map, there were significant differences in entropy, skewness, kurtosis, maximum, minimum and average among benign, borderline and malignant ovarian epithelial tumors (P＜0.001, 0.003, ＜0.001, 0.007, 0.005, 0.001). The result of ROC curve shows that the maximum value of AUC is entropy (AUC=0.75). Conclusions The application of ADC texture analysis of whole tumor can improve the value of differential diagnosis of benign, borderline and malignant ovarian epithelial tumors, especially the differential diagnosis of borderline and malignant tumors, and provide clinical diagnosis basis and guide clinical treatment.

Whole spine MRI findings in endemic fluorosis

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the MRI findings of the whole spine in patients with endemic skeletal fluorosis, and evaluate its MRI characteristics from a global perspective. Materials and Methods To analyze the whole spine MRI and clinical characteristics of 35 cases with endemic fluorosis and evaluate the spinal signal changes, the thickened ossification of the posterior longitudinal ligament (OPLL) and the ligamentum flavum (OLF), spinal canal stenosis, and spinal cord signal changes. Results Fat-containing marrow in the vertebral bodies with endemic fluorosis was decreased and unevenly distributed, accompanied with varying degrees of hyperostosis (100.00%). The thickness of OPLL was 4-9 (6.89±2.23) mm. The thickened OPLL was most commonly found in the cervical spine, which showed continuous thickening. The distribution of thickened OPLL in thoracic and lumbar spine was segmental. The total amount of thickened OPLL were 216 segments of spine. Of the 216 spinal segments, 158 spinal segments located in C2-T1 (73.15%), T1-L1 had 42 lesions (19.44%), L1-S1 had 16 lesions (7.41%). The thickness of OLF were 4-8 (5.25±1.44) mm. Of the 35 cases, the thickened OLF had unifocal lesion in 7 cases and multifocal lesions in 21 cases. Of 108 lesions located in C4-L5, 59 lesions located in T8-T12 (54.63%). The incidence of the thickened OLF in the thoracic and lumbar segments was significantly higher than that in the cervical segments. Spinal canal narrowing was found in 30 patients (85.71%), in which compression of the spinal cord was showed in 27 patients (77.14%) and high signal in T2WI was noted in 16 cases (45.71%), low signal in T1WI was noted in 8 cases (22.86%). Conclusions Endemic skeletal fluorosis involves a wide range of lesions. Whole spine MRI can fully reflect the abnormities of diffuse bone and paravertebral ligaments, the degree of spinal canal stenosis, spinal cord and nerve compression in the patients with endemic fluorosis, provide more accurate and comprehensive imaging support for clinical use.

Dynamic changes of percent amplitude of fluctuation in sleep deprivation based on resting-state fMRI

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the dynamic changes of brain spontaneous functional activity during sleep deprivation (SD) based on the percent amplitude of fluctuation (perAF). Materials and Methods A total of 36 healthy volunteers were recruited and their resting-state functional magnetic resonance imaging (fMRI) images were collected at 22:00 pm, 24:00 pm, 02:00 am, 04:00 am, and 06:00 am, respectively. Meanwhile, the Stanford Sleepiness Scale (SSS) was used to collect individual sleepiness data. One-way repeated measures ANOVA was used to compare the brain regions with different perAF dynamic changes over time (PPr=0.36, P=0.03; r=0.37, P=0.02) and left medial prefrontal lobe (r=0.33, P=0.05; r=0.41, P=0.01) at 22:00 pm and 06:00 am was positively correlated with SSS scores. Conclusions The abnormal activity of the default mode network, the frontoparietal attention network and the thalamus may be the important neural mechanism of increased sleepiness and decreased attention in individuals during sleep deprivation.

Mechanism of epidural artery implantation in accelerating the drainage of thalamic interstitial fluid by using tracer-based MRI

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the effect of epidural arterial implantation (EAI) on the drainage of interstitial fluid (ISF) in rat thalamus and its mechanism. Materials and Methods Thirty 240-280 g male SD rats were randomly divided into control group, EAI group and EAI contralateral measurement group. The latter two groups were randomly divided into two subgroups on the 7th and 14th day after operation, with six rats in each group. The ISF drainage in thalamus was detected by tracer-based MRI and using diffusion of extracellular space-mapping (DECS-mapping) techniques to study the structure of extracellular space (ECS). The macroscopic distribution index of ISF drainage: half-life time (T1/2), and the structural parameters of ECS: diffusion rate (D*), tortuosity (λ), volume fraction (α) were obtained. The changes of regional cerebral blood flow in the parietal cortex of rats were observed by laser Doppler flow meter under the guidance of stereotactic instrument. Motor and cognitive performance was quantified with open filed test and novel recognition test at baseline and 7, 14 days after EAI. Results Tracer-based MRI and DECS-mapping analysis showed that the half-life time of EAI7 and EAI14 groups was lower than that of the other groups (PPP<0.05), indicating that the molecular diffusion movement in ECS was accelerated and the structure of ECS was changed. There was no difference in cerebral blood flow between the control group and EAI14 group (P＞0.05), indicating that the operation did not change the local cerebral blood flow of rats in a short time. There was no difference in the indexes of animal behavior test among the groups (P＞0.05), indicating that the operation did not damage the motor and cognitive abilities of rats. Conclusions EAI changed the microstructure of ECS in the ipsilateral thalamus of rats and promoted the drainage of ISF, which was a stable, safe and effective means of active regulation of brain ECS.

MRI tracer imaging explore the diffusion changes of brain extracellular space in a rat model of intracranial cryptococcal infection

Mon,20 Feb 2023 00:00:00 GMT

Objective To quantitatively analyze the signal intensity of the intracranial cryptococcal infection rat model by using MRI tracer imaging, and explore the changes of the tracer diffusion in the extracellular space of the infected rats brain. Materials and Methods A total of 30 adult SD rats were intracranial in situ inoculated with cryptococcus type A suspension to establish infection models, and 20 rats were set up as control group without any treatment. In the model group, MRI T2WI scanning was performed at 2, 3 and 4 weeks after modeling to monitor the establishment of the model, and the rats successfully modeled were included in the case group. The rats in the case and control group were microinjected with 10 mmol/L of gadolinium-diethylene triaminepentaacetic acid (Gd-DTPA). T1 weighted imaging three dimensional magnetization prepared rapid acquisition echo (T1WI 3D MP-RAGE) images of before (T0) and 15, 45, 90, 120, 180, 240 min after the injection were collected respectively. The diffusion characteristics of the tracer in the brain extracellular space (ECS) of the two groups were dynamically observed. x¯±s in maximum level signal strength statistic of the acquired images were extracted by ITK-SNAP software. Differences of standard deviation between case group and control group were compared. The mean, the mean of the standard deviation and their linear relation with time were taken to draw the time signal curve and the curve form and trend of the two groups were observed. The independent sample t test was used to compare the difference of mean between the two groups and the changes of ECS diffusion parameters λ and pathophysiological mechanisms were speculated. Results The success rate of modeling was 73.3%. The mean and standard deviation of intensity distribution of image obtained at 15 min after injection were the largest, and the mean and standard deviation of the case group was significantly higher than that of the control group. The mean and standard deviation of each time period followed the normal distribution, and the P-values of independent sample t-test at T0, T15, T45, T90, T120, T180 and T240 were 0.019, 0.048, 0.150, 0.878, 0.845, 0.603, 0.819 for mean and 0.285, 0.017, 0.327, 0.308, 0.891, 0.298, 0.486 for standard deviation. Conclusions The MRI T1WI 3D MP-RAGE signal intensity parameters can reveal the changes of ECS drainage in intracranial cryptococcus neoformans infection, and the mean and standard deviation of signal intensity at T15 can distinguish the changes of brain ECS in in intracranial cryptococcus neoformans infection.

Design and application of brain tissue channel tracer-based magnetic resonance imaging analyzer

Mon,20 Feb 2023 00:00:00 GMT

Objective To design and develop a brain tissue channel tracer-based magnetic resonance imaging analyzer based on the classical diffusion equation. Materials and Methods A signal source import system was established. Multi-band radio frequency excitation and signal acquisition units were designed. Image processing, modeling calculation and visualization modules were developed. The tracer-based magnetic resonance imaging analyzer for brain tissue channels was integrated. Twelve adult male Sprague Dawley rats were randomly divided into two groups on average. The traditional (n=6) and the current (n=6) research system scheme were respectively applied for detection. The diffusion coefficient and volume fraction were calculated and compared. The drainage process of interstitial fluid (ISF) was visualized. Results The instrument can simultaneously provide the structural parameters and the internal molecular diffusion of extracellular space (ECS) in rat brain, and realize the whole brain tracing of the ISF drainage pathway. Compared with the traditional scheme group, both diffusion coefficient and volume fraction decreased (P＜0.01). And the standard deviation of the two measurement results decreased. Conclusions The development of the brain tissue channel tracer-based magnetic resonance imaging analyzer standardizes and automates the ECS detection process, making the detection results more stable and more realistic, laying a foundation for the subsequent research and development of ECS detection instruments compatible with electrical impedance, chemistry and other information.

A body examination study of brain MRI registration in adolescents using fusion generative adversarial network

Mon,20 Feb 2023 00:00:00 GMT

Objective To solve the problem of information loss in the sampling process of UNet framework, we used brain MRI of adolescents to study the problems of weak network learning ability and low accuracy of registration of brain marginal regions. Materials and Methods In this study, publicly available brain MRI data sets were used: HBN and LPBA40 propose a multiscale attention mechanisms generative adversarial networks (MAM_GAN). Single-mode brain image registration was realized. The method consists of registration network and authentication network. By adding multiscale attention mechanisms (MAM) modules to the identification network to acquire contextual information at different scales, more effective brain structural features were extracted during adversarial training. Secondly, the local cross-correlation loss function of image similarity was introduced into the registration network to constrain the similarity between the moving image and the fixed image, which further improves the image registration performance in the antagonistic training process of the two networks. Dice coefficient (Dice), structural similarity (SSIM) and Pearson^{^,}s correlation coefficient (PCC) were used to measure the registration accuracy of registration image and fixed image. Results Compared with the traditional methods in Dice score, the accuracy of MAM_GAN method in cerebrospinal fluid (CSF), gray matter (gray matter, GM) and white matter (white matter, WM) increased by 0.013, 0.023 and 0.028 respectively, PCC score increased by 0.004 and SSIM score increased by 0.011. Hence, the experimental results showed that the method had good registration effect. Conclusions The MAM_GAN method can better learn the structural features of the brain, improve the registration performance, and provide a technical basis for the clinical diagnosis and physical detection of attention-deficit hyper-activity disorder (ADHD) in adolescents.

A comparative study of three scanning sequences on the arterial phase and image quality of gadoxetic acid disodium liver-enhanced MRI

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the effects of shortened acquisition time and multiple arterial phase scanning techniques on gadoxetate acid disodium liver-enhanced MRI arterial phase imaging. Materials and Methods Retrospective analysis of 253 patients who underwent liver-enhanced MRI with gadoxetate acid disodium from May 2018 to December 2021 was performed. Patients were divided into three groups according to different examination modalities: conventional volumetric interpolated breath-hold examination (C-VIBE) in 87 cases (single-artery phase, scan time 16 s); shortened acquisition volumetric interpolated breath-hold examination (S-VIBE) in 78 cases (single-artery phase, scan time 12 s); multi-arterial phase scans (CAIPIRINHA-Dixon-TWIST-VIBE, CDT-VIBE) of 88 cases (five multi-arterial phases, scan time 16 s). We evaluated the phase and image quality of the arterial phases of the images in the three groups separately, all using the quadratic method. The image phase was divided according to the degree of hepatic artery and portal vein display; the subjective image quality was evaluated in terms of image artifacts, liver margin definition and lesion display, and the objective image quality included signal to noise ratio (SNR) and contrast to noise ratio (CNR). Categorical variables were expressed as number of cases and percentages. χ2 test was used to deal with categorical variables. Measures are expressed as mean±standard deviation (x¯±s), and one-way ANOVA was used to compare the differences in age between groups; the non-parametric Kruskal-Wallis test was used to compare the differences in image quality between the three serial groups and within the multi-arterial phase group and the differences in SNR and CNR of the three serial images. Results The differences in clinical characteristics (gender, age, pleural fluid, ascites, chronic obstructive disease, cirrhosis) between the three groups were not statistically significant (P＞0.05). There was good agreement between the two MRI physicians in the assessment of arterial phase and image quality (Kappa value＞0.7). In the arterial phase images, the best images in the CDT-VIBE group were scored better than in the C-VIBE and S-VIBE groups (H=23.698, PH=19.415, P=0.043). The best images in the CDT-VIBE group were much better in the early and late arterial phases than in the C-VIBE and S-VIBE groups (PPPH=3.854, P=0.146) and CNR (H=2.120, P=0.346) of the three groups of images were not statistically significant. Conclusions After gadoxetate acid disodium injection, the S-VIBE sequence with shortened acquisition time cannot effectively reduce the images of breath-holding failure, while the CDT-VIBE sequence with multi-arterial phase acquisition can provide more excellent arterial phase images, which can provide both early arterial phase images depicting vessels and late arterial phase images with lesion enhancement information, and can be promoted in clinical applications.

Application of compressed sensing technology in rapid lumbar magnetic resonance imaging

Mon,20 Feb 2023 00:00:00 GMT

Objective To explore the influence of different acceleration factors (AF) of compressed sensing (CS) on the quality of lumbar MRI images. Materials and Methods Thirty-two subjects (twelve males) were recruited with an average age of (45.28±14.11) years. The sagittal T1WI, T2WI, and axial T2WI sequences of the lumbar spine were scanned with 3.0 T MR equipment through the sensitivity encoding (SENSE), and CS technology for AF=0, SENSE AF=2, CS AF=2, 3, 4, and 5, respectively. Two radiologists delineated the region of interest (ROI) on the sagittal T1WI, T2WI and transverse T2WI to measure the signal intensity (SI) and standard deviation (SD). Then we calculated the signal to noise ratio (SNR) and contrast to noise ratio (CNR). Finally, subjective score of image quality was assessed by five points method. The intra-class correlation coefficient (ICC) and Kappa test was adopted to evaluate the consistency of the scores from the two radiologists. In the following analysis, the ANOVA test was used to assess the difference of SNR, CNR and score between groups. Results The measured datas and the subjective score of the two radiologists were in good agreement (ICC: 0.878-0.997, Kappa: 0.763-0.948). It was shown that there were statistically significant differences in SNR, CNR and subjective score of sagittal T1WI, T2WI and transverse T2WI sequences. If the CS equaled 4, the SNR, CNR and subjective score of sagittal T1WI and T2WI were significantly different from those of conventional sequences (PP＜0.05). Conclusions Scan time for the lumbar spine decreased gradually with increase of the CS AF. CS factor of 3 was recommended for clinical sagittal T1WI and T2WI, and CS factor of 2 was best for clinical transverse T2WI to achieve an optimal balance between scan time and image quality.

A multi-parameter water-model based quality control method for magnetic resonance imaging

Mon,20 Feb 2023 00:00:00 GMT

Objective To investigate the use of multiparametric water models for quality control of the quantitative detection capability of MRI. Materials and Methods We designed a multiparametric water model and characterized the proton density (PD), longitudinal and transverse relaxation time (T1 & T2), and apparent diffusion coefficient (ADC) by different structural layers and characteristic solutions built into the layers in the multiparametric water model. After setting the value, the grayscale value of the target area of MRI image was extracted, multi-domain information was obtained, and the quality control calibration algorithm was established by data fitting. Results Firstly, effective quality control (QC) was conducted for the stability of the quantitative values of the MRI, and then the grey-scale convolution + BP (back propagation) neural network algorithm was used to analyze the QC data, which could improve its accuracy. Conclusions This study has developed a multi-parameter water model for the quality control of functional imaging quantitative techniques, established and standardized a method for evaluating the performance of the equipment traceable to the international unit system, and constructed the basis for the quality control of magnetic resonance equipment in China.

Research progress of rt-fMRI-NF regulating amygdala activity and improving mood disorders

Mon,20 Feb 2023 00:00:00 GMT

Real-time functional magnetic resonance imaging neurofeedback (rt-fMRI-NF) is an important advance in fMRI that changes brain function by regulating the activity of specific brain targets in subjects and thus affects the clinical behavior of subjects. The amygdala is a key brain region of the emotion regulation network, and the use of rt-fMRI-NF to regulate amygdala activity provides a novel bio-assisted treatment for the clinical treatment of mood disorders, which is a very promising technology. In this paper, by reviewing the emergence and basic principles of rt-fMRI-NF, the principle of regulating amygdala activity to improve mood disorders, the influencing factors of regulating the efficacy of amygdala activity, and the clinical application prospects and efficacy of regulating amygdala to improve mood disorders, this paper aims to provide a theoretical basis for rt-fMR-NF to regulate amygdala to improve mood disorders, and promote the wider development and application of rt-fMRI-NF as a clinical adjunct treatment for mental disorders.

Research advances in MRI for cognitive impairment in children with self-limited epilepsy with centrotemporal spikes

Mon,20 Feb 2023 00:00:00 GMT

Self-limited epilepsy with centrotemporal spikes (SLECTS) is the most common childhood focal epilepsy syndrome associated with a series of cognitive and behavioral deficits. Its pathogenesis is still unclear and clinical interventions are controversial. With advances in neuroimaging technology and the widespread use of novel MRI techniques, structural and functional brain alterations in SLECTS and their correlation with cognitive impairment have become a hot research topic today. The transdisciplinary model of electroencephalogram-functional MRI (EEG-fMRI) technology combined with genomics and artificial intelligence will be a major direction for future SLECTS research, which is expected to further elucidate the neuropathological mechanisms underlying the occurrence of cognitive dysfunction in SLECTS and provide a more definitive clinical basis for early diagnosis and individualized treatment. Therefore, this article reviews the current status and potential weaknesses of MRI research in SLECTS to provide a reference for future research.

Research progress in MRI of microbiota‐gut‐brain axis dysbiosis

Mon,20 Feb 2023 00:00:00 GMT

The gut‐ brain axis is a bidirectional information communication pathway. As one of the key regulators of the gut‐ brain axis, the gut microbiota is not only involved in maintaining intestinal homeostasis and regulating intestinal function, but also can directly communicate and transmit information with the brain through the complex enteric nervous system. At present, studies have confirmed that the dysbiosis of intestinal microbiota may be related to neurodegenerative diseases, mental and metabolic diseases, but the mechanism behind it has not been clearly elucidated. Focusing on the role and research progress of magnetic resonance imaging technology in dysbiosis of intestinal microbiota and neurodegenerative disorders, psychosocial and metabolic diseases, this paper summarizes the correlation between intestinal microflora and brain structure and function, aiming to explore the action mechanism of intestinal microbes in diseases and provide theoretical support in clinical treatment.

Progress in assessment of unstable state risk of unruptured cerebral aneurysms by multimodal MRI

Mon,20 Feb 2023 00:00:00 GMT

MRI plays a vital role in the individualized evaluation of unstable state risk of unruptured intracranial aneurysms (UIAs). The initial step in using MRI in UIAs is to show the morphological traits. The maturity of MR angiography (MRA) effectively fixed this issue. With the advancement of science and technology, MRI can now provide functional information on UIAs. MR blood flow imaging may now reveal UIAs hemodynamic characteristics, and high-resolution MRI may show pathological features of the aneurysm wall. In recent years, artificial intelligence (AI) has had the potential to satisfy physicians^{^,} demands for greater precision in the tailored assessment of unstable state risk in UIAs. The author will go over the importance of multi-mode MRI in assessing the risk of aneurysm instability from UIAs morphology, aneurysm wall pathology, hemodynamics and AI to serve as a reference for the research on precise risk stratification of UIAs.

Research progress in predicting molecular typing of lower grade glioma by functional magnetic resonance imaging

Mon,20 Feb 2023 00:00:00 GMT

Glioma is the most common intracranial malignant tumor with high recurrence rate and poor prognosis. Lower grade glioma refers to tumors classified into grade 2 and grade 3 by World Health Organization (WHO). Molecular classification of lower grade glioma has important guiding significance for its treatment and prognosis. Therefore, the diagnosis of molecular classification is of great important for clinical management of glioma. The genetic testing based on pathological tissue is the gold standard, which has certain invasiveness and hysteresis quality. In recent years, with the development of functional magnetic resonance imaging, more and more studies have clarified the value of functional magnetic resonance imaging in predicting molecular typing for lower grade glioma. This paper reviews the research progress of functional magnetic resonance imaging in predicting the molecular classification of lower grade gliomas in recent years.

Research progress of MRI-based texture analysis in high-grade gliomas

Mon,20 Feb 2023 00:00:00 GMT

High-grade gliomas, defined by WHO as grade Ⅲ and Ⅳ gliomas, are among the most common primary malignancies in adults. Compared with grade Ⅲ gliomas, grade Ⅳ gliomas are more malignant than grade Ⅲ gliomas, have a shorter median survival, and are less effective with drug therapy. MRI plays an important role in disease detection, diagnosis, treatment, and prognostic evaluation, but conventional MRI is highly dependent on the subjectivity of the imaging physician for staging, identification, and prognostic evaluation and is therefore of limited value.MRI-based texture analysis can acquire some imaging features that cannot be identified by the naked eye by obtaining information on the signal and distribution of each pixel in the image, which in turn can help in the diagnosis, treatment, and prognosis assessment of the lesion. To this end, this paper reviews the application of MRI-based texture analysis in the diagnosis and differential diagnosis, guiding treatment, and prognostic assessment of high-grade gliomas to enable precise treatment of patients.

Application and research progress of magnetic resonance parameter quantitative technique in myocardial involvement diseases

Mon,20 Feb 2023 00:00:00 GMT

There are many kinds of myocardial involvement diseases, including primary and secondary changes. Because of its accompanying cardiac function damage, it seriously endangers the life of patients, early diagnosis and intervention of myocardial changes is particularly important. Cardiac magnetic resonance (CMR) is widely used in various medical fields related to cardiovascular diseases. In recent years, rapid technological innovation has led to new CMR imaging technology development. Parametric quantitative techniques, such as longitudinal relaxation time quantitative imaging (T1 mapping) and transverse relaxation time quantitative imaging (T2 mapping), provide a non-invasive examination method to quantify tissue changes in myocardial disease. These changes mainly include myocardial fibrosis, myocardial edema with increased intracellular and/or extracellular water, and myocardial hemorrhage and other pathological changes. T1 mapping and T2 mapping are not only considered to be reliable biomarkers for the diagnosis of cardiomyopathy but are also considered to a reliable imaging parameter in treatment monitoring and prognosis evaluation. This article reviews application of parametric quantitative techniques and research progress in evaluating myocardial tissue. The purpose is to describe how the parameter quantitative technology can identify abnormal myocardium early and accurately, and put forward the existing problems and future research ideas to provide references for the research of this technology.

Research progress of different MRI techniques in young women breast tumors

Mon,20 Feb 2023 00:00:00 GMT

Breast cancer is the most common malignant tumor in women worldwide and is generally common in middle-aged and older age groups, but in recent years, with changes in living environment and dietary structure, the incidence of breast cancer is becoming more and more youthful. The application of magnetic resonance examination in breast diseases is becoming more and more widespread, and the accuracy of diagnosis of benign and malignant breast lesions has been greatly improved, especially for young women with denser breast tissue. This article reviews the research progress of different magnetic resonance imaging techniques in young women breast tumors, in order to strengthen imaging doctors^{^,} understanding of young female breast tumors, especially young breast cancer. It is helpful to pay more attention to early diagnosis and early treatment of breast diseases in young women, so as to improve their quality of life and increase their happiness index.

Research progress in imaging evaluation of liver metastases in colorectal cancer

Mon,20 Feb 2023 00:00:00 GMT

Colorectal cancer is the third most common malignant tumor in the world, with a high incidence and mortality of liver metastasis. The key to improve the prognosis of colorectal cancer patients with liver metastases is early diagnosis and reasonable treatment of liver metastases. Imaging methods such as CT, MRI, positron emission tomography (PET) and ultrasound (US) can be used to evaluate liver metastases from colorectal cancer. This article reviews the imaging evaluation methods of colorectal cancer liver metastases to provide a reference for the clinical diagnosis and treatment strategy of colorectal cancer liver metastases.

Advances in clinical research in urologic neoplasms with machine learning-based radiomics technology

Mon,20 Feb 2023 00:00:00 GMT

In recent years, the incidence of tumors of the urinary system has increased year by year, kidney cancer, bladder cancer (BCa), prostate cancer (PCa) have become important factors threatening the health of middle-aged and elderly people. The early detection and prognosis monitoring of urinary malignant tumors have increasingly become the hot spot of current research. Radiomics is an emerging diagnostic method in recent years, it enables non-invasive and quantitative evaluation of tissues by extracting and analyzing the characteristics of tissue heterogeneity, compared with traditional imaging, it can diagnose and differentiate lesions more accurately. From urology clinician^{^,}s perspective, this paper reviews the current research progress of radiomics in preoperative diagnosis, efficacy evaluation, prognosis evaluation, and gene expression of urologic tumors.

Chinese Journal of Magnetic Resonance Imaging RSS feed

Magnetic resonance voxel analysis and diffusion kurtosis imaging of medial temporal lobe in patients with temporal lobe epilepsy and cognitive impairment

Quantitative susceptibility mapping of substantia nigra in the diagnosis of Parkinson,s disease: A Meta analysis

The value of MAP-MRI and DCE-MRI in differentiating glioblastoma from brain metastases

Multimodal MRI manifestations of high altitude cerebral edema

Diagnosis of neonatal bilirubin encephalopathy based on quantitative analysis of multiparameter magnetic resonance imaging

Functional connectivity of the primary visual cortex in patients with comitant exotropia

Differential diagnostic value of IVIM combining with dynamic enhanced MRI in non-mass enhancement adenosis and breast cancer

Application of 3.0 T MRI in evaluation of nipple areola complex invasion in breast cancer patients

A preliminary clinical application of T2 mapping-based radiomics on MRI in breast diseases

The diagnostic value of T1 mapping and APTw imaging in chronic kidney disease

The value of ADC map and T2WI radiomics analysis of the primary tumor for prediction of bone metastases in prostate cancer

The application of magnetic resonance diffusion kurtosis imaging in efficacy evaluation of early radiotherapy of cervical carcinoma

Clinical-radiomic analysis of multi-parametric magnetic resonance imaging predicts lymphovascular space invasion and outcomes in cervical cancer

The value of ADC texture analysis in differential diagnosis of ovarian epithelial tumors

Whole spine MRI findings in endemic fluorosis

Dynamic changes of percent amplitude of fluctuation in sleep deprivation based on resting-state fMRI

Mechanism of epidural artery implantation in accelerating the drainage of thalamic interstitial fluid by using tracer-based MRI

MRI tracer imaging explore the diffusion changes of brain extracellular space in a rat model of intracranial cryptococcal infection

Design and application of brain tissue channel tracer-based magnetic resonance imaging analyzer

A body examination study of brain MRI registration in adolescents using fusion generative adversarial network

A comparative study of three scanning sequences on the arterial phase and image quality of gadoxetic acid disodium liver-enhanced MRI

Application of compressed sensing technology in rapid lumbar magnetic resonance imaging

A multi-parameter water-model based quality control method for magnetic resonance imaging

Research progress of rt-fMRI-NF regulating amygdala activity and improving mood disorders

Research advances in MRI for cognitive impairment in children with self-limited epilepsy with centrotemporal spikes

Research progress in MRI of microbiota‐gut‐brain axis dysbiosis

Progress in assessment of unstable state risk of unruptured cerebral aneurysms by multimodal MRI

Research progress in predicting molecular typing of lower grade glioma by functional magnetic resonance imaging

Research progress of MRI-based texture analysis in high-grade gliomas

Application and research progress of magnetic resonance parameter quantitative technique in myocardial involvement diseases

Research progress of different MRI techniques in young women breast tumors

Research progress in imaging evaluation of liver metastases in colorectal cancer

Advances in clinical research in urologic neoplasms with machine learning-based radiomics technology

Quantitative susceptibility mapping of substantia nigra in the diagnosis of Parkinson^{^,}s disease: A Meta analysis