http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202305 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.001 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.002 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.003 ObjectiveTo improve the image quality and shorten the scanning time of neuromelanin magnetic resonance imaging sequence commonly used in clinic by deep learning reconstruction (DL Recon). Materials and MethodsA total of 30 volunteers were prospectively enrolled, and each volunteer was scanned with DL Recon 2D fast spin echo (FSE) T1WI sequence and clinical traditional 2D FSE T1WI. The original images of DL Recon 2D FSE T1WI were saved. After scanning, the three groups of images were evaluated subjectively and objectively. The "five point method" was used to score the image uniformity, sharpness, artifact and overall image quality, the results were statistically described by interquartile spacing[M (P25, P75)]. The objective evaluation was carried out from the signal to noise ratio (SNR) of substantia nigra (SC) and locus coeruleus (LC) of the midbrain and the contrast noise ratio (CNR) between the above areas and surrounding tissues. The results were statistically analyzed by ANOVA. ResultsThe score of image evenness of DL Recon 2D FSE T1WI images, original images and clinical traditional 2D FSE T1WI images was 4 (4, 5), 4 (4, 5), 4 (4, 5) (Z=1.31, P＞0.05), the score of sharpness was 4 (4, 5), 3 (3, 4), 3 (3, 4) (Z=2.57, P＜0.001), the score of artifacts was 3 (3, 4), 4 (4, 5), 4 (4, 5) (Z=3.43, P＜0.001), and the score of overall image quality was 4 (4, 5), 3 (2, 3), 3 (3, 4) (Z=2.77, P＜0.001). In the subjective scores of the three groups of images, there was no significant difference between the three groups except image uniformity. There were significant differences in sharpness, artifacts and image quality in DL Recon 2D FSE T1WI group (P＜0.05). The objective evaluation results of DL Recon 2D FSE T1WI images, original images and clinical traditional 2D FSE T1WI images were as follows: SNR_SN 250.38±9.02, 66.19±7.32, 110.91±10.10; SNR_LC 220.41±12.02, 50.26±5.89, 90.38±11.70; CNR_SN 25.30±3.42, 7.87±1.12, 8.01±1.38; CNR_LC 30.17±2.23, 10.54±2.08, 11.11±1.89. The SNR and CNR of DL Recon 2D FSE T1WI group were higher than those of original image and traditional 2D FSE T1WI group, and the differences were statistically significant (P＜0.001). ConclusionsDL Recon 2D FSE T1WI sequence can improve the signal to noise ratio and contrast to noise ratio of the original sequence image under the condition of ensuring the spatial resolution by using the deep learning noise reduction algorithm of the original K-space data, and can greatly shorten the scanning time. It is expected to become the mainstream means of neuromelanin magnetic resonance imaging. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.004 ObjectiveTo explore the clinical implication of deep learning (DL) reconstruction in accelerate intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI). Materials and MethodsBased on 3.0 T MRI system, a total of 40 healthy subjects were collected for accelerated IVIM data acquisition (DL_IVIM) based on DL reconstruction with excitation times (i.e. signal acquisition times) of 1 and conventional image acquisition (ORIG_IVIM) with excitation times of 2. Wilcoxon rank-sum test was used to compare scan time, signal of noise ratio (SNR), non-uniformity index (NUI), quantitative parameters [diffusion coefficient (D value), pseudo-diffusion coefficient (D^* value) and perfusion fraction (F value)]. The χ² test was used to compare the subjective ratings of DL_IVIM and ORGI_IVIM. ResultsCompared with ORIG_IVIM, the scan time of DL_IVIM was reduced by 23.4%. In addition, SNR (except b=0 s/mm²) and subjective scores of DL_IVIM were significantly higher than those of ORIG_IVIM (P＜0.05), NUI (except b=0 s/mm²) were significantly lower than those of ORIG_IVIM (P＜0.05), there was no significant difference in D, D^* and F values (P＞0.05). DL_IVIM score was significantly higher than ORIG_IVIM (χ²=32.81, P＜0.001). ConclusionsDL reconstruction can significantly improve the image quality of IVIM, ensure the accuracy of quantitative parameters, and shorten the scanning time, which provides valuable reference information for the application of DL reconstruction in clinical IVIM imaging. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.005 ObjectiveTo investigate the role of deep learning reconstruction (DLR) in improving image quality of high resolution T2 fluid-attenuated inversion-recovery sequency (FLAIR) coronal magnetic resonance imaging of hippocampus. Materials and MethodsA total of 36 patients were prospectively enrolled in this study. GE Singna Premier 3.0 T MR scanner was used to perform high resolution T2-FLAIR coronal scanning of the hippocampus. Two diagnosticians assessed the image noise, artifacts, hippocampal structure, lesion, and diagnostic acceptance of origin reconstruction (OR) T2-FLAIR and DLR T2-FLAIR coronal images, respectively. Two technologists measured and calculated the signal to noise ratio (SNR), contrast noise ratio (CNR), and the difference in bilateral hippocampal signal intensity between the two groups of images. ResultsThe noise, hippocampal structure identification, lesion identification and diagnostic acceptance score from DLR based coronal T2-FLAIR hippocampal image were higher than OR T2-FLAIR hippocampal coronal image (P＜0.001), and there was no significant difference in artifacts evaluation (Z=-1.730; P=0.084). The SNR and CNR values of DLR T2-FLAIR hippocampal coronal images were significantly higher than those of OR T2-FLAIR hippocampal coronal images (t=-13.061, P＜0.001; t=16.224; P＜0.001). There was no significant difference in the difference of bilateral hippocampal signal between the two groups (t=-0.290; P=0.977). ConclusionsWithout prolonging the scanning time, Deep learning reconstruction can significantly improve the resolution of hippocampal structures and small lesions in high resolution T2-FLAIR coronal images. It can reduce noise, and provide high quality images for clinical use. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.006 ObjectiveThe preoperative accurate and non-invasive prediction of glioma grading remains challenging. Developing a robust Residual Networks (ResNet) deep learning model based on conventional T2WI images to predict preoperative pathological grading of gliomas. Materials and MethodsA retrospective analysis of preoperative T2WI images of 919 patients with pathologically confirmed glioma, of which 708 were data from patients enrolled at the Second Hospital of Lanzhou University from June 2014 to April 2021 and 211 were derived from The Cancer Imaging Archive (TCIA) database. The TCIA dataset was subdivided into a development set (n=135) and an independent test set (n=76). The data from the Second Hospital of Lanzhou University dataset and the TCIA development set were randomly split 7∶3 into a training set (n=590) and a test set (n=253) to construct a 3D-ResNet101 deep learning model based on T2WI images. After the training, the models were validated on the test set and independent test set, where the model efficacy was assessed by macro F1 scores, accuracy (ACC), and receiver operating characteristic (ROC) curves. ResultsThe 3D-ResNet101 deep learning model constructed based on T2WI had ACCs of 99% and 95% in the training and test sets, respectively; The F1 scores were 99% and 95%, respectively; the area under the ROC curve (AUC) were 0.98 and 0.97, respectively; the ACC of the independent test set was 83%, the F1 score was 83%, and the AUC was 0.89. ConclusionsThe 3D-ResNet101 deep learning model based on T2WI images predicts high- and low-grade gliomas with high accuracy and robustness. The method can be used for the non-invasive prediction of preoperative glioma grading as well as helping to improve the effectiveness of clinical management of patients. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.007 ObjectiveTo assess the feasibility of the breath-hold fat-suppressed T2-weighted sequence with deep learning reconstruction technique (BH fs T2 DLR) and compare its image quality and acquisition time with those of the respiratory-gated propeller fat-saturated T2-weighted sequence (RTr fs T2 Propeller). Materials and MethodsA total of 46 patients who underwent liver MRI in our hospital (23 patients with hepatic lesions and 23 without obvious lesions) were prospectively enrolled in this study from January to June 2022. Two sequences of BH fs T2 DLR and RTr fs T2 Propeller were performed with a 3.0 T scanner. Qualitative image quality was evaluated using a 5-point Likert scale. Quantitative image quality parameters included signal-to-noise ratio (SNR), lesion to liver contrast-to-noise ratio (CNR_Lesion) for patients with liver lesions, and spleen to liver contrast-to-noise ratio (CNR_Spleen) for patients without liver lesions. Wilcoxon matched-pairs signed-ranks test was performed for comparison analysis at a significance level of P＜0.05. ResultsBH fs T2 DLR showed significantly shorter scan time (38 s vs. 162 s, P＜0.01). BH fs T2 DLR sequence achieved higher scores for all qualitative image quality parameters (P＜0.01). BH fs T2 DLR also showed significantly higher SNR [290.30 (220.63, 383.80)] vs. [166.85 (131.40, 224.83)], CNR_Lesion [602.60 (372.40, 708.50)] vs. [259.20 (217.90, 367.90)] and CNR_Spleen [267.70 (146.70, 432.80)] vs. [206.20 (104.40, 293.70)] than RTr fs T2 Propeller, respectively (P＜0.01). ConclusionsThe BH fs T2 DLR sequence can provide improved image quality and simultaneously significant reduction in scanning time, and may replace the RTr fs T2 Propeller sequence in certain scenarios, as a promising alternative in clinical practice. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.008 ObjectiveTo explore the impact of deep learning reconstruction (DLR) techniques on bladder cancer MRI image quality and scan time. Materials and MethodsPatients with a pathological diagnosis of bladder cancer at first diagnosis were prospectively enrolled in this study. Conventional fast spin echo (FSE) T2WI, and DLR fast FSE-T2WI scanning were performed, respectively. The original fast FSE-T2WI without DLR was saved. The overall image quality score and artifacts score of three T2WI (conventional FSE-T2WI, fast FSE-T2WI, and DLR fast FSE-T2WI) were evaluated subjectively (5-point scale) by two radiologists. One radiologist measured the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). One-way ANOVA and Friedman test were performed on normally and non-normally distributed data, respectively, to compare and analyze the differences in SNR, CNR, overall image quality score, and artifacts score of three T2WI. The Weighted-Kappa test was used to validate the consistency of subjective scores between groups. ResultsA total of 32 patients [39-93 (65±11) years] with bladder cancer were enrolled in this study. The overall image quality score and artifacts score, SNR (63.2±25.5 vs. 94.7±40.8, P＜0.05) and CNR (40.0±19.0 vs. 59.6±29.8, P＜0.05) of fast FSE-T2WI with shortened scanning time were significantly lower than those of conventional FSE-T2WI. The application of DLR significantly improved the overall image quality, artifact score, SNR (256.7±102.9 vs. 63.2±25.5, P＜0.05) and CNR (168.0±77.3 vs. 40.0±19.0, P＜0.05) of fast FSE-T2WI. DLR fast FSE-T2WI demonstrated significantly higher SNR (256.7±102.9 vs. 94.7±40.8, P＜0.05) and CNR (168.0±77.3 vs. 59.6±29.8, P＜0.05) and overall image quality scores than those of conventional FSE-T2WI. ConclusionsDLR allowed reduction of image scanning time and enabled improved image quality in both quantitative and qualitative manners, making it possible for bladder cancer patients to complete MRI more quickly. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.009 ObjectiveTo introduce a novel deep learning-based reconstruction (DLR, which is now commercially available as AIR^TM Recon DL, GE Healthcare) T2-weighted imaging (T2WI_DL) sequence in prostate MRI and investigate its image quality and diagnostic confidence compared to conventional T2-weighted imaging (T2WI_C). Materials and MethodsSeventy-eight patients who underwent prostate MRI examinations (T2WI_C and T2WI_DL with the same parameters) were included in this retrospective study. For the qualitative and diagnostic confidence evaluation, double-blinded evaluation was performed by both three- and seven-year experienced radiologists according to the Likert Scale (5=excellent, 1=very poor), and then the difference among the scores were evaluated using Wilcoxon test and the intra‑ /inter‑ observer agreement were evaluated using κ statistics. The evaluation indicators of T2WI image quality and diagnostic confidence including: prostate capsule, lesion contrast and edge sharpness, anatomical details (urethra, zone of prostate, seminal vesicle), skeleton and muscle clarity, overall image quality, lesion location and morphology, lesion is benign or malignant. In addition, the time spent by two radiologists browsing each set of images was recorded respectively, and the paired t test was used for statistical analysis. As for quantitative evaluation, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) measured between each prostate lesion on the MR images acquired with different sequences were analyzed, paired t test and Mann-Whitney U test were used for statistical analysis. ResultsSeventy-eight patients at the mean age of (67.1±9.9) years were included in this retrospective study. Based on the subjective scoring criteria, overall image quality scores were rated significantly superior by both readers with (4.6±0.6) and (4.3±0.7) on T2WI_DL compared to (3.4±0.7) and (3.0±0.8) on T2WI_C (P＜0.05). For T2WI_DL, the score consistency ranged from 0.6 to 0.8; there were significant differences in the scores between the two readers only for anatomical details and overall image quality (P＜0.05). Besides, overall diagnostic confidence scores also were rated significantly superior by both readers with (4.8±0.3) and (4.8±0.4) on T2WI_DL compared to (3.8±0.4) and (3.7±0.5) on T2WI_C (P＜0.05), with fewer time to spend. Based on objective evaluation, SNR and CNR of T2WI_DL were higher than those of T2WI_C, and the differences were statistically significant (P＜0.05). The SNR of T2WI_C and T2WI_DL in benign and malignant lesions were (12.4±2.4), (28.7±8.1) and (10.1±1.8), (27.7±5.4), respectively, with significant differences (P＜0.01). There was no significant difference in CNR between benign and malignant lesions with and without DL (P＞0.05). ConclusionsThe prostate T2WI_DL images have high subjective rating scores, clearer lesion contrast, high SNR and CNR. In addition, the radiologists had more diagnostic confidence in T2WI_DL image with less diagnostic time. Therefore, the novel DLR technique is helpful to improve the image quality of prostate T2WI within the same scanning time, which provides a more accurate imaging basis for clinical diagnosis and treatment. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.010 ObjectiveTo explore the application of deep learning reconstruction (DLR) in improving prostate MRI T2 weighted imaging (T2WI) quality and shortening scanning time. Materials and MethodsPatients who were suspected with a prostate lesion clinically were prospectively enrolled in this study. Conventional MRI fast-spin echo (FSE)-T2WI sequence and DLR fast FSE-T2WI were performed, and the original fast FSE-T2WI without DLR was preserved. The overall image quality, image artifacts, prostate capsule, prostate lesion detection and the lesion's Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) scoring of three T2WI (conventional T2WI, fast T2WI, and DLR fast T2WI) were assessed subjectively by two radiologists independently. The signal-to-noise ratio (SNR) of the lesion and the contrast-to-noise ratio (CNR) were measured by one radiologist. One-way ANOVA and Kruskal-Wallis test were performed on normally and non-normally distributed data, respectively, to compare and analyze the differences in subjective scores and objective indices of three T2WI. The intra-class correlation coefficient (ICC) was used to compare the interreader agreement of subjective scores and PI-RADS v2.1 scoring between two radiologists. ResultsFinally, a total of 35 patients (38 prostate lesions) were enrolled in this study. DLR fast T2WI reduced 32.1% scanning time than conventional T2WI. Two radiologists' assessment demonstrated that there were significant differences among conventional, fast and DLR FSE-T2WI in overall image quality, prostate capsule demonstration and prostate lesion detection (P＜0.05). There were significant differences in the overall image quality, prostate capsule demonstration and prostate lesion detection among the three T2WI (P＜0.05). The SNR and CNR of prostate peripheral zone, transition zone and prostate lesion of the three T2WI images were significantly different (P＜0.05). DLR fast T2WI has the best overall image quality with the least artifacts and short scan time. ConclusionsDLR can significantly improve the image quality of prostate FSE-T2WI with a shorter scanning time. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.011 ObjectiveTo propose a rapid knee imaging based on two-dimensional fast spin echo sequence and examined the reliability and diagnostic performance of deep learning-based reconstruction images on knee joint pathology via comparison of images with and without deep learning reconstruction algorithm (DLR). Materials and MethodsA total of 92 patients, a protocol including accelerated two dimensional (2D) fast spin echo (FSE) sequences with autocalibrating reconstruction for cartesian sampling (ARC) as a kind of parallel imaging were enrolled in this prospective study. All MR data was reconstructed with and without DLR as original images of FSE (FSE_O) and deep learning reconstruction images of FSE (FSE_DL), respectively. Two radiologists subjectively assessed images at the aspects of overall image quality, sharpness and diagnostic confidence using a Likert scale (1-5, 5=best), and also objectively evaluated signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). SNR of femoral marrow, cartilage, synovial fluid, infrapatellar fat pad, anterior cruciate ligament and CNR of cartilage/synovial fluid were measured on proton density weighted imaging (PDWI) sequence and T1 weighted imaging (T1WI) sequence of the knee. Inter-observer and intra-observer subjective score consistency were also computed. ResultsThe overall image quality, sharpness and diagnostic confidence for FSE_DL were higher compared to FSE₀, showing significantly improved sharpness (P＜0.05). Inter- and intra-reader agreement was substantial to almost perfect (ICC: 0.710-0.898). For objective evaluation, SNR and CNR of PDWI_DL and T1WI_DL images were significantly higher than that of PDWI₀ and T1WI₀ images (P＜0.05). Two radiologists respectively assessed the sequences regarding structural abnormalities of the knee based on FSE₀ and FSE_DL. Inter- and intra-reader agreement were excellent consistent (κ: 0.954-1.000) for the detection of internal derangement. Intra-reader agreement was substantial to almost perfect (κ=0.769, 0.771) for the assessment of cartilage defects and almost perfect (κ: 0.944-1.000) for the assessment of meniscal, ligament, bone marrow, syn-ovial fluid. There were no detection differences of structural abnormalities between FSE_DL and FSE₀. ConclusionsDLR can be used for knee joint PI ARC technology, which can improve the image quality and ensure the clinical diagnosis efficiency at the same time to complete the image acquisition within 5 min, suitable for clinical patients with various knee joint diseases. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.012 ObjectiveTo explore the structural abnormality of gray matter and its effect on non-motor and motor function in patients with spinocerebellar ataxia type 3 (SCA3), so as to provide a theoretical basis for early diagnosis and proper treatment of SCA3. Materials and MethodsOne hundred and two subjects [49 patients and 53 age- and sex- matched healthy controls (HC) ] were enrolled in the study. The participants were assessed by the neuropsychological scale, including the Montreal Cognitive Assessment (MoCA), the Mini Mental State Examination (MMSE), the Rapid Verbal Retrieve (RVR), Digit Span Test (DST), the Activities of Daily Living (ADL), and the Hamilton Depression Scale (HAMD) . They also participated in the MRI evaluation. Voxel-based morphometry (VBM) was conducted to analyse the gray matter volume (GMV) alterations between the patients and the healthy controls. The partial correlation analysis was performed to identify the partial correlation between GMV and clinical scale scores with sex, age, and total intracranial volume (TIV) as covariables. ResultsCompared with the healthy control group, the scores of MoCA (Z=-4.578, P＜0.001), MMSE (Z=-4.725, P＜0.001) and RVR (Z=-5.773, P＜0.001) in the SCA3 group decreased significantly, while the scores of ADL (Z=-6.447, P＜0.001) and HAMD (Z=-5.285, P＜0.001) increased significantly. The brain volume atrophied were discovered in the vermis Ⅸ lobe, bilateral cerebellum, caudate nucleus, cingulate gyrus, frontal lobe, hippocampus, precentral gyrus, putamen, supplementary motor area, and temporal lobe, left calcarine cortex, paracentral lobule, and para-hippocampal gyrus, right cuneus, fusiform gyrus and occipital lobe (P＜0.001, FDR corrected). The increased ones were intralaminar nucleus, dorsal medial nucleus of left thalamus and ventral anterior nucleus of right thalamus (P＜0.001, FDR corrected). The correlation analysis between differential brain area and the neuropsychological scale showed that Scale for the Assessment and Rating of Ataxia (SARA) and International Cooperative Ataxia Rating Scale (ICARS) scores were negatively correlated with the vermis Ⅸ lobule, bilateral cerebellum, precentral gyrus, and temporal lobe; left calcarine cortex, right caudate nucleus, cingulate gyrus, frontal lobe, fusiform gyrus and occipital lobe, while positively correlated with the intralaminar nucleus of left thalamus. MoCA score was positively correlated with vermis Ⅸ lobule and bilateral cerebellum. ADL score was negatively correlated with vermis Ⅸ lobule, bilateral cerebellum, left calcarine cortex, temporal lobe and right fusiform gyrus; HAMD score was negatively correlated with bilateral cerebellum, right frontal lobe and left temporal lobe; RVR score was positively correlated with bilateral cerebellum, right frontal lobe, left temporal lobe and Ⅸ lobule of vermis. ConclusionsIn addition to cerebellar structural damage, there are also extensive cognitive, memory and emotional brain damage in SCA3, which is closely related to motor and non-motor functional impairment, which provides theoretical guidance for the next selection of therapeutic targets for SCA3. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.013 ObjectiveTo explore the application of automated fiber quantification (AFQ) based on diffusion tensor imaging (DTI) in the neurological basic research of facial emotion recognition (FER) disorder in patients with Alzheimer's disease (AD). Materials and MethodsFER test and 3.0T MR Scan were performed in 17 AD patients (AD group) and 2l normal control patients (NC group). Fibers like inferior fronto-occipital fasciculus (IFOF), uncinate fasciculus (UF) and inferior longitudinal fasciculus (ILF) were divided into 100 nodes using AFQ, and then extracted the fractional anisotropy (FA) and mean diffusivity (MD) values of main fibers. The differences in FA and MD values between the two groups of fibers mentioned above were compared using two-tailed t-tests. Age, gender and mini-mental state examination were regarded as covariates, partial correlation analysis was conducted between DTI parameters of damaged fibers and FER scores. ResultsAFQ analysis showed that the FA values of the middle part (nodes 44-46) of left IFOF and the inferior segment (nodes 89-99) of left UF in AD group were significantly lower than that in NC group (t values were -6.319 and -7.825, both P＜0.05), and were positively correlated with the negative FER scores (r values were 0.386 and 0.384, both P＜0.05). The MD value of the middle part (nodes 45-64) of left inferior ILF in AD group was significantly higher than that in NC group (t=3.059, P＜0.05), and was negatively correlated with the negative FER scores (r=-0.485, P=0.003). ConclusionsAFQ can be used to detect the damaged segment of white matter fiber accurately. The impaired of the middle segment of left ILF, left IFOF, and the inferior part of left UF may be the potential neural basis of negative FER disorder in AD patients. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.014 ObjectiveTo explore the differences in regional activity of resting-state functional magnetic resonance imaging (rs-fMRI) between plateau Tibetan with type 2 diabetes mellitus (T2DM) living in a plateau environment and healthy plateau Tibetan, and their relationship with cognitive function. Materials and MethodsFifty-three plateau Tibetan with type 2 diabetes mellitus (PTDM) and 51 plateau Tibetan healthy control (PTHC) in the analysis after age and sex matched were included in this study. Demographic, clinical data, neuropsychological test and rs-fMRI data were collected of both groups, and the rs-fMRI functional indexes the amplitude of amplitude of low-frequency fluctuations (ALFF) and fractional amplitude of low-frequency fluctuation (fALFF) were compared between two groups based on voxels to investigate the differences. We investigated the differences in ALFF and fALFF values between PTDM and PTHC groups and their correlation with demographics, clinical data and neuropsychological test results. ResultsCompared with the PTHC group, the PTDM group had reduced ALFF values in bilateral cerebellar region Ⅷ ) and reduced fALFF values in the right lingual gyrus and left cerebellar region I (P＜0.05, FWE correction). Correlation analysis showed that the fALFF values of left cerebellar area Ⅷ (r=0.376, P=0.006), right cerebellar area Ⅷ (39, -54, -54) (r=0.411, P=0.002), right cerebellar area Ⅷ (15, -66, -54) (r=0.377, P=0.005) and right lingual gyrus (r=0.337, P=0.014) in the PTDM group were positively correlated with age; in the PTDM group were negatively correlated with low-density cholesterol (r=-0.283, P=0.049), glycated hemoglobin (r=-0.320, P=0.028) and two-hour glucose (r=-0.405, P=0.016). fALFF values of right lingual gyrus in the PTDM group were negatively correlated with Zung^,s anxiety self-rating scale (r=-0.399, P=0.012); fALFF values of left cerebellar area I in the PTDM group were positively correlated with smoking time (r=0.407, P=0.006), and negatively correlated with Pittsburgh Sleep Quality Index Scale (r=-0.327, P=0.033), Depression Self-Rating Scale (r=-0.320, P=0.041) and patient health questionnaire scores (r=-0.339, P=0.035). ConclusionsThe rs-fMRI regional activity is reduced in the cerebellum and right lingual gyrus in plateau Tibetan with type 2 diabetes mellitus compared to healthy controls, and correlated with age, glucose indicators, neuropsychology and cognitive function. Exploring the changes in brain function in Tibetan with type 2 diabetes mellitus can provide a better understanding of disease-related changes in cognitive function and related mechanisms. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.015 ObjectiveTo evaluate the diagnostic efficacy of contrast-enhanced high-resolution vessel wall MRI (CE HRVW MRI) with different gadolinium-based contrast agents (GBCA) in intracranial atherosclerotic plaque quantitatively. Materials and MethodsOne hundred and five cases of patient with intracranial atherosclerotic disease (ICAD) who underwent CE HRVW MRI examination were analyzed retrospectively and divided into gadobutrol group and Gd-DTPA group. Each enhanced plaque was classified into grade 0, 1 or 2. An objective analysis for each grade had been conducted via comparing the parameters, including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast enhancement (CE), contrast-to-brain ratio (CBR), and enhancement index (ER) between the two groups. ResultsOne hundred and fifty one plaques were analyzed, in which 69 plaques from 49 patients were detected in gadobutrol group and 82 plaques from 56 patients were detected in Gd-DTPA group. The image quality-related parameters of the three grades between the two groups were compared. The objective evaluation showed that in grade 2 SNR post-contrast [(168.02±26.89) vs. (155.76±18.71)], CNR [(76.14±19.10) vs. (61.83±14.88)], CE [(55.31±19.53) vs. (39.95±15.65)], CBR [(0.85±0.23) vs. (0.68±0.20)], and ER [(117.54±0.34) vs. (101.18±0.18)] were all higher when using gadobutrol compared with Gd-DTPA in CE HR-MRI (P＜0.05). But above parameters of the grade 0 and 1 demonstrated no statistical difference (P＞0.05). ConclusionsThe diagnostic efficacy of CE HRVW MRI with gadobutrol in intracranial atherosclerotic plaque was superior to that with Gd-DTPA in grade 2 of plaque enhancement. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.016 ObjectiveTo investigate the feasibility of predicting the methylation status of O6-methylguanine-DNA-methyltransferase (MGMT) promoter in patients with grade 3 and 4 gliomas by mean apparent propagator-MRI (MAP-MRI) and dynamic contrast enhanced MRI (DCE-MRI). Materials and MethodsFrom June 2018 to January 2022, 14 patients with MGMT promoter methylation and 17 patients with MGMT promoter non-methylated gliomas confirmed by pathology in our hospital were prospectively enrolled. Preoperative routine magnetic resonance imaging, DCE-MRI and MAP-MRI scans were performed.The tumor parenchymal region was manually delineated as region of interest (ROI) and the quantitative parameters of ROI were extracted to measure the parameters of DCE-MRI and MAP-MRI. Pearson correlation analysis was used to analyze the correlation between parameters. Two independent sample t-test was used to compare the diagnostic efficacy of DCE-MRI and MAP-MRI in predicting MGMT promoter methylation status of grade 3 and 4 gliomas.Univariate and multivariate logistic regression models were further established, and receiver operating characteristic (ROC) curves were analyzed and constructed. DeLong test was used to compare the diagnostic effects of DCE-MRI parameters, MAP-MRI parameters and multi-parameter combined model in predicting MGMT methylation. ResultsThe parameters volume transfer constant (K^trans) and fractional volume of the extravascular-extracellular space (V_e) of DCE-MRI and non-Gaussianity (NG), non-Gaussianityaxial (NGAx), Q-spaceinversevariance (QIV), return to the origin probability (RTOP), return to the axis probability (RTAP) of MAP-MRI were moderately correlated with MGMT promoter methylation, and the differences between the two groups were statistically significant (P＜0.05). The area under the ROC curve (AUC) was 0.803, 0.815, 0.807, 0.803, 0.765, 0.790, 0.739, respectively. Multivariate logistic analysis showed that V_e was the best predictor of MGMT promoter methylation, with the highest accuracy and AUC of 0.815 (95% CI: 0.659-0.971), odds ratio (OR) of 0.891 (95% CI: 0.815-0.975). The results of DeLong test showed that the combined multi-parameter model of DCE-MRI and MAP-MRI had the highest diagnostic efficiency in predicting the methylation status of the MGMT promoter in glioma, with an AUC of 0.992. ConclusionsDCE-MRI and MAP-MRI are valuable for predicting the methylation status of the MGMT promoter in high-grade gliomas, and the simultaneous application of the two combined diagnoses will help to further improve the diagnostic efficacy. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.017 ObjectiveTo investigate the value of arterial spin labeling (ASL) technology in the evaluation of early parotid gland damage in Sjögren^,s syndrome (SS). Materials and MethodsThirty patients with early SS who were diagnosed for the first time without treatment and no fat deposits in the parotid gland were collected, and 30 healthy volunteers were controlled. Parotid gland ASL imaging was performed, and parotid blood flow was measured. The difference between parotid gland blood flow between early SS patients and healthy volunteers was compared, and the receiver operating characteristic (ROC) curve was plotted to analyze the diagnostic efficacy of parotid blood flow on early SS patients. ResultsThere was no statistically significant difference in BF values between the left and right parotid glands of early SS patients and healthy volunteers (P＞0.05). The parotid gland blood flow of early SS patients was significantly higher than that of healthy volunteers [(22.54±1.98) vs. (20.46±2.45) mL/min/100 g, P＜0.01)]. The ROC curve evaluation of parotid gland BF value has good diagnostic efficacy for early SS patients. The optimal cutoff value is 20.79 mL/min/100 g, the area under the curve is 0.808, the sensitivity is 80%, and the specificity is 75%. ConclusionsASL technology can evaluate the changes of blood flow in parotid gland in patients with early SS, and has the potential to become a technique for early SS screening. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.018 ObjectiveTo construct and externally validate a diagnostic prediction model for breast masses based on the Kaiser score of dynamic contrast-enhanced MRI (DCE-MRI) for diagnostic prediction of the risk of malignancy of masses on breast MRI. Materials and MethodsWe collected 199 lesions (from 199 patients) and 86 lesions (from 81 patients, including 5 patients with 2 lesions) from the Tianxinge Branch of Hunan Provincial People^,s Hospital from May 2020 to March 2021 and from the Mawangdui Branch of Hunan Provincial People^,s Hospital from September 2019 to December 2020, who underwent preoperative breast DCE-MRI and were confirmed by surgical or puncture pathology. Using the data from Tianxinge Branch as the training set and the data from Mawangdui Branch as the validation set. Imaging parameters collected included: the amount of fibroglandular tissue (FGT), background parenchymal enhancement (BPE), lesion size, mass characteristics (shape, margins, internal enhancement features), time-signal intensity curve (TIC), breast edema status, maximum intensity projection (MIP) sign, associated features (including nipple retraction, nipple invasion, skin retraction, skin thickening, skin invasion, axillary lymph node enlargement, pectoral muscle invasion, chest wall invasion, structural distortion), and Kaiser score based on the Kaiser score flow chart. Clinical parameters included age, gender, presence of pain, palpable mass, skin erythema, nipple discharge, orange peel appearance, and dimple sign. The least absolute shrinkage and selection operator (LASSO) was used to select predictor variables. Multivariate logistic regression was used to construct the prediction model, which was presented as a nomogram. The receiver operating characteristic (ROC) curve, DeLong test, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to compare the diagnostic performance of the Kaiser score-based breast mass diagnostic prediction model (hereinafter referred to as "breast mass diagnostic model") and Kaiser score; calibration curves were plotted to assess the calibration of the breast mass diagnostic model; decision curve analysis (DCA) was used to evaluate the clinical validity of them. ResultsLASSO regression showed that "age" "MIP sign" and " associated features" were effective predictors in addition to those used in the Kaiser score; In the training set, the AUCs of the breast mass diagnostic model and Kaiser score were 0.944 and 0.890, with statistically significant differences (P＜0.05), and in the validation set, the AUCs of the breast mass diagnostic model and Kaiser score were 0.941 and 0.874, with statistically significant differences (P＜0.05). Furthermore, NRI and IDI showed that the breast mass diagnostic model had a better diagnostic performance for breast masses than the Kaiser score, and the difference was statistically significant (P＜0.05); the calibration curve showed that the breast mass diagnostic model was well calibrated; DCA indicated that the breast mass diagnostic model had high clinical application value. ConclusionsThe Kaiser score-based diagnostic model for breast masses can be used for preoperative prediction of the probability of malignancy of breast masses. Its diagnostic performance for breast masses is better than the classic Kaiser score. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.019 ObjectiveTo explore the value of muti-parametric magnetic resonance imaging (mpMRI) in different molecular subtypes of primary breast cancer. Materials and MethodsMRI data of 137 patients with primary breast cancer confirmed by pathology were analyzed retrospectively. To compare the differences among different types of breast cancer in age, menopause status, MRI morphological characteristics, diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) value and time-signal intensity curve (TIC). ResultsAmong 137 cases of breast cancer, including 38 cases of Luminal A breast cancer, 75 cases of Luminal B breast cancer, 10 cases of human epidermal growth factor receptor‑2 (HER-2) overexpression breast cancer and 14 cases of triple-negative breast cancer. Among the four molecular subtypes, there were statistically significant differences in the diameter, shape, edge, enhancement mode, maximum ADC value and minimum ADC value of the tumor (P=0.011, 0.010, 0.003, 0.006, 0.017, 0.008, respectively). Among them, the triple-negative breast cancer tumors were large in volume, round in shape, smooth in edge, and ring enhancement. The edges of Luminal A and Luminal B are mostly spicule shaped and the ADC value is lower than the other two groups. The ADC value of HER-2 overexpression type patients^, masses is higher than that of other molecular subtypes of masses. There was no significant difference in the margin, T2WI signal, T1WI signal, necrotic cystic change, enhancement degree and TIC curve type of different molecular subtypes of breast cancer (P＞0.05). ConclusionsThe mpMRI features of different molecular subtypes of breast cancer masses are different, which is helpful for non-invasive prediction of molecular subtypes before surgery, especially for the differentiation of triple negative breast cancer. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.020 ObjectiveTo explore dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) semi-quantitative analysis combined with diffusion kurtosis imaging (DKI) in diagnosis of triple negative breast cancer (TNBC). Materials and MethodsThe medical record datas of 138 patients with breast cancer in Jining First People^,s Hospital from November 2018 to July 2022 were retrospectively analyzed. The patients were divided into 39 cases of TNBC and 99 cases of non-TNBC according to pathological results. All patients underwent DCE-MRI and DKI examination. Analysis of DCE MRI semi-quantitative parameters [percentage of peak enhancement (Epeak), initial enhancement rate (IER), maximum slope (Slopemax), time to peak (TTP), signal enhancement ratio (SER), Wash-in, Wash-out] and DKI parameters [mean diffusion (MD), mean kurtosis (MK)]. The differences of DCE-MRI semi-quantitative parameters and DKI parameters between TNBC group and non-TNBC group were compared by t-test or Mann-Whitney U test. Receiver operating characteristic and area under the curve (AUC) was used to analyze the diagnostic efficacy of each parameter and the combined prediction model. ResultsThe Wash-out, Slopemax and SER values of TNBC group were higher than those of non-TNBC group (P＜0.05). The TTP and MK values of TNBC group were lower than those of non-TNBC group (P＜0.05). There were no significant differences in IER, Epeak, Wash-in and MD between TNBC and non-TNBC groups (P＞0.05). The sensitivity, specificity and AUC of the combined model (Wash-out, Slopemax, TTP, SER and MK) were 85.9%, 92.3% and 0.928 respectively, which were higher than the AUC of the five individual models (0.768, 0.815, 0.785, 0.781 and 0.769). The difference was statistically significant (P＜0.01). ConclusionsWash-out, Slopemax, TTP, SER and MK parameters are important parameters for predicting TNBC, and combining DCE-MRI and DKI can further improve the predictive diagnostic efficiency of TNBC. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.021 ObjectiveTo qualitatively and quantitatively evaluate the changes in myocardial motion and tissue characterizations in non-ischemic dilated cardiomyopathy (NIDCM) patients with ventricular arrhythmias (VA) by cardiac magnetic resonance feature tracking (CMR-FT) and late gadolinium enhancement (LGE). Materials and MethodsSeventy-three NIDCM patients were retrospectively collected and followed up. The patients were divided into VA+ group (34 cases) and VA- group (39 cases) according to the 24-hour dynamic ECG. The left ventricular function parameters, global strain parameters and LGE characteristics were compared between the two groups. The risk factors of VA were estimated by performing multivariate logistic regression analysis. Survival estimates of the two groups were calculated and determined by Kaplan-Meier curves with the log-rank test. ResultsThe global longitudinal peak strain (GLPS) in the VA+ group was significantly lower than that in VA- group (P=0.004). The subepicardial LGE pattern was more likely to appear in VA+ group (P=0.001). The outcome was poorer in the VA+ group than in the VA- group (P=0.036). Moreover, the subepicardial pattern of the LGE was a risk factor of VA. ConclusionsCardiac magnetic resonance can accurately assess the changes of heart structure, function, and myocardial tissue in NIDCM patients with VA, and provide forceful imaging basis for the poor outcome of NIDCM patients. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.022 ObjectiveTo investigate the prognostic value of cardiac magnetic resonance feature tracking (CMR-FT) technique in major cardiovascular adverse events (MACE) in hospital after interventional therapy for acute myocardial infarction (AMI). Materials and MethodsThree hundred patients with AMI admitted from January 2019 to October 2022 were selected as study subjects. They were divided into two groups according to whether MACE occurred, namely, MACE group (n=79) and control group (n=221, non MACE group). Both groups of patients underwent percutaneous coronary intervention (PCI) within 12 hours of onset, and CMR was performed 48-72 hours after operation. At the same time, MACE were monitored within 2 weeks of hospitalization. The baseline data and myocardial strain parameters of the two groups were compared. The independent predictors of MACE in the hospital after intervention therapy for AMI were analyzed by Cox regression, and the diagnostic efficacy of myocardial strain parameters was evaluated by drawing the subject^,s working characteristic curve. ResultsCox regression analysis showed that the left ventricular global longitudinal strain [GLS, hazard ratio (HR): 1.24, 95% confidence interval (CI): 1.09-1.37, P＜0.001] and the left ventricular global circumferential strain (GCS, HR: 1.17, 95% CI: 1.08-1.22, P＜0.001) were independent predictors of adverse cardiovascular events after percutaneous coronary intervention in patients with AMI. The diagnostic efficacy of GLS was the best, area under the curve (AUC) was 0.882 (95% CI: 0.706-0.991), and the cut-off value of GLS was -11.9%. When GLS＜-11.9% (less than its absolute value), the incidence of MACE was significantly increased, with sensitivity of 89%, specificity of 82%, and Youden index of 0.80. The diagnostic efficacy of GCS was the second, AUC was 0.735 (95% CI: 0.631-0.958), and the cut-off value of GCS was -17.8%. When GCS＜-17.8% (less than its absolute value), the incidence of MACE was significantly increased, with sensitivity of 78%, specificity of 65%, and Youden index of 0.75. Kaplan-Meier curve analysis showed that the overall survival rate of patients with GLS＜-11.9% was lower than that of patients with GLS≥-11.9% (P＜0.05), and the overall survival rate of patients with GCS＜-17.8% was lower than that of patients with GCS≥-17.8% (P＜0.05). ConclusionsCMR-FT technique has a high prognostic value for MACE in the hospital after PCI in AMI, it can assist in early clinical prediction and prevention of MACE during hospitalization after myocardial infarction, and improve the short-term prognosis of patients with myocardial infarction. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.023 ObjectiveTo evaluate the research value of the extracellular volume fraction (ECV) in evaluating the liver function grading [Child-Pugh grade and albumin-bilirubin (ALBI) grade] for the patients with chronic hepatitis B cirrhosis, and to explore the ECV value difference among various liver function grading groups. Materials and MethodsThe patients that all received the gadobenate dimeglumine (Gd-BOPTA) enhanced MRI examination in the First Hospital of Hebei Medical University from January to October 2022 were selected, which all included the laboratory test results within two weeks before or after the MRI examination. A total of 67 cases of patients were included, with 17 cases in normal liver function (NLF) group and 50 cases in the cirrhosis group. The T1 mapping including the plain scan and balance phases was performed on all of these patients, and the T1 values of the patients^, liver parenchyma and abdominal aorta in the plain scan and balance phases were measured, based on which, in combination with the hematocrit levels, the ECV values were calculated. The patients of the cirrhosis group were divided into a Child-Pugh grade group and an ALBI grade group as per the two liver function grading methods. The Spearman correlation coefficient was used to analyze the correlation between the ECV values and the scores as a result of the liver function scoring models such as ALBI grade and Child-Pugh grade. The one-way analysis of variance was used to compare the differences of the ECV values among the groups. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficacy of the ECV values in identifying the patients of the different liver function groups, and the cut-off values, sensitivity, specificity and area under the curve (AUC) were calculated. ResultsThere was a significant positive correlation between the ECV values and the grades of the Child-Pugh grade (r=0.694, P＜0.01) and those of the ALBI grade (r=0.689, P＜0.01), and the ECV values increased with the increase of the liver function grading (Child-Pugh grade, and ALBI grade). There was a significant difference in the ECV values between the patients of the Child-Pugh grade group and those of the ALBI grade group (P＜0.01). In the case of the Child-Pugh grade group, the AUCs of the ECV identification of NLF vs. CP-A, CP-A vs. CP-B and CP-B vs. CP-C were 0.82, 0.78 and 0.84, respectively. In the case of the ALBI grade group, the AUCs of the ECV identification of NLF vs. ALBI 1, ALBI 1 vs. ALBI 2 and ALBI 2 vs. ALBI 3 were 0.79, 0.70 and 0.91, respectively. ConclusionsThe ECV value based on the T1 mapping is a reliable index for evaluating the liver function of the patients with chronic hepatitis B cirrhosis. The diagnostic efficacy of the ALBI grading in evaluating the liver function of the patients with chronic hepatitis B cirrhosis is comparable to that of the Child-Pugh grading, but it is simpler and more objective, and therefore can be used as a complement to the Child-Pugh grading. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.024 ObjectiveTo investigate the value of 3D amide proton transfer (APT) imaging and intravoxel incoherent motion (IVIM) imaging in the diagnosis and risk assessment of prostate cancer (PCa). Materials and MethodsA total of 51 patients with prostate disease in our hospital from April 2022 to November 2022 were prospectively included and divided into 27 patients in the benign prostatic hyperplasia (BPH) group and 24 patients in the PCa group according to pathological puncture or surgical results. According to Gleason score (GS), PCa group was divided into low-risk group (≤6) with 6 cases and high-risk group (≥7) with 18 cases. All patients underwent 3.0 T MRI prostatic examination before surgery. The scans included APT, IVIM, diffusion-weighted imaging (DWI) and other sequences. The areas of interest were delineated on the APT and IVIM parameter images, and the APT value, true diffusion coefficient (D), pseudo diffusion coefficient (D^*), perfusion fraction (f) and ADC value of the lesions were measured. Independent sample t test was used to compare the differences of various parameters between BPH group and PCa group, and between PCa high-risk group and low-risk group. Receiver operating characteristic (ROC) curve was used to assess the diagnostic efficiency of each parameter. Spearman correlation analysis was used to analyze the correlation between the parameters and GS. ResultsThe D value and ADC value of BPH group were observably higher than that of PCa group, while the APT value was observably lower than that of PCa group, with statistical significance (P＜0.05). There was no statistical difference in D^* and f values between the two groups. D value and ADC value in PCa low-risk group were significantly higher than those in PCa high-risk group, and APT value was significantly lower than those in PCa high-risk group, with statistical significance (P＜0.05). ROC curve analysis showed that the diagnostic specificity of ADC and D values was higher than APT values, while the diagnostic sensitivity of APT and D values was higher than ADC values. Spearman correlation analysis displayed that the ADC value and D value of PCa lesions were significantly negatively correlated with GS (r=-0.691, -0.624; P＜0.001); APT value was significantly positively correlated with GS (r=0.455, P=0.026), while D^* value and f value were not correlated with GS (P＞0.05). ConclusionsAPT and IVIM imaging have certain value in the differential diagnosis of PCa, APT and IVIM D value can provide help for the pathological grading of PCa, and D value is higher. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.025 ObjectiveTo assess the correlation between bone marrow fat content and trabecular microstructure in the lumbar spine of type 1 diabetic rabbits using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation sequence (IDEAL-IQ) in conjunction with micro computed tomography (Micro-CT). Materials and MethodsSixteen male Japanese white rabbits were randomly divided into a diabetes group (n=8) and a control group (n=8), with the diabetes group induced with alloxan. The IDEAL-IQ quantification sequence was used to evaluate the bone marrow fat content in the lumbar spine of the rabbits at 0, 4, 8, 12, and 16 weeks after the induction of diabetes. Micro-CT and histopathological examinations were conducted at 16 weeks to quantitatively evaluate the trabecular microstructure in the lumbar spine of the rabbits. Differences in the lumbar spine IDEAL-IQ fat fraction at different time points were compared using repeated measures analysis of variance. Differences in the fat fraction, Micro-CT trabecular morphometric parameters, and histopathological parameters between the groups at the same time point were compared using independent sample t-tests or Mann-Whitney U tests. The Pearson correlation coefficient was used to evaluate the correlation between bone marrow fat content and trabecular morphometric parameters and histopathological parameters. ResultsThe bone marrow fat content of the diabetes group showed an upward trend over time, and the difference was statistically significant (P＜0.05), while there was no significant statistical difference in fat content at each time point in the control group (P＞0.05). The fat fraction of the diabetes group was significantly higher than that of the control group at week 16 (59.987±4.859 vs. 51.015±8.469, P＜0.05). The diabetes group had lower bone volume, tissue surface, bone surface, bone surface density, trabecular number, but higher trabecular separation than the control group, and the differences were statistically significant (P＜0.05). Histopathological results showed that at week 16, compared with the control group, the number of adipocytes in the lumbar vertebral bone marrow of diabetic rabbits increased (32.875±11.051 vs. 71.667±13.125, P＜0.01), while the number of trabeculae (11.375±1.506 vs. 4.333±1.211, P＜0.01) and the trabecular area (0.927±0.071 vs. 0.312±0.100, P＜0.01) decreased significantly. The IDEAL-IQ fat score was positively correlated with histopathological adipocyte count (r=0.539 95% CI: 0.012-0.832), and was moderately positively correlated with trabecular pattern factor, structure model index, and trabecular separation. It was negatively correlated with bone mineral density, total volume, bone volume, bone volume fraction, total surface area, bone surface area, bone surface area to volume ratio, bone surface area to total volume ratio, and trabecular number, showing a mild to moderate negative correlation. ConclusionsThere is a correlation between the bone marrow adipose tissue content and the microstructural changes in lumbar vertebrae in type 1 diabetes. The multimodal quantitative imaging technique combining IDEAL-IQ and Micro-CT holds promise for providing a comprehensive assessment strategy for the bone marrow microenvironment in type 1 diabetes. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.026 ^,s sleep, social interaction and work, and reducing the quality of life. Great progress has been made in the research of CP at the peripheral and spinal cord levels, and the central pathophysiological mechanism related to pruritus is the focus of current research. Voxel-based morphometry, diffusion tensor imaging, and functional magnetic resonance imaging are the main methods for quantitative analysis of brain structure and function. This paper mainly reviewed the research status of brain microstructure, abnormal activated regions and brain network changes related to central imaging studies of CP. It provides imaging evidence for guiding diagnosis, monitoring efficacy, targeted drug development and non-drug intervention. ]]> Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.027 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.028 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.029 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.030 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.031 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.032 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.033 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.034 Sat,20 May 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.05.035 Sat,20 May 2023 00:00:00 GMT