http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202507 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.1674-8034.2025.07.001 ObjectiveTo investigate changes in brain functional activity before and after gut-targeted therapy in patients with diarrhea-predominant irritable bowel syndrome (IBS-D) using resting-state functional magnetic resonance imaging (rs-fMRI), and to explore the underlying gut-brain regulatory mechanisms. Materials and MethodsThirty newly diagnosed IBS-D patients (meeting Rome Ⅳ criteria) were prospectively enrolled. Baseline assessments included the Irritable Bowel Syndrome Symptom Severity Scale (IBS-SSS), Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), and Pittsburgh Sleep Quality Index (PSQI), followed by rs-fMRI scanning. After 30 days of standardized gut-targeted therapy, all scales and imaging were repeated. Paired sample t-tests were used to compare differences in z-score standardized amplitude of low-frequency fluctuation (zALFF) and z-score standardized regional homogeneity (zReHo) pre- and post-treatment. Correction was carried out using the Gaussian random field (GRF). Spearman correlation analysis was performed between functional indices^,s changes of altered brain regions and scale scores^,s changes. ResultsCompared with before treatment, the IBS-SSS (P < 0.001), HAMA (P = 0.004), HAMD (P = 0.026) and PSQI (P = 0.007) scores of IBS-D patients decreased significantly after intestinal targeted therapy. Decreased zALFF values in the cuneus, precuneus and calcarine fissure and surrounding cortex (GRF correction, voxel-level P < 0.005, cluster-level P < 0.05). Significant reductions in zReHo values in the cuneus, precuneus, and superior occipital gyrus (GRF correction, voxel-level P < 0.005, cluster-level P < 0.05). A significant positive correlation between changes in precuneus zALFF and the scores of the pain anxiety in HAMA (r = 0.405, P = 0.027), and between precuneus zReHo changes and the depression scores in HAMD (r = 0.498, P = 0.005). ConclusionsGut-targeted therapy in IBS-D patients improved intestinal symptoms, anxiety, depression and sleep quality, accompanied by reduced activity in the precuneus and cuneus. The decreased functional activity in the precuneus may underlie the alleviation of anxiety and depressive symptoms. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.002 ObjectiveTo explore the classification performance of resting-state brain functional networks and gradient features in patients with autism spectrum disorders (ASD) based on multimodal machine learning and ensemble learning classification models. Materials and MethodsBased on 246 ASD patients and 251 healthy controls (HC), this study used two independent samples t-test to analyse the differences between the results of independent component analysis, gradient analysis, and static functional network connectivity (sFNC) and dynamic functional gradient (dFNG) features to construct a multimodal machine learning classification model. sFNC and dFNG features were used to construct a multimodal machine learning classification model. Results(1) The static connectivity strength of the default network (TN-DM), visual temporal lobe (VI-OT), and visual occipital lobe (VI-OC) networks in ASD patients was significantly weakened, while the connectivity strength between higher cognition frontal lobe (HC-FR) and significant network (TN-SA) was significantly enhanced (P < 0.05, false discovery rate, FDR correction); (2) Dynamic gradient clustering analysis showed that ASD patients remained in the frontal lobe sensorimotor dominant state for a long time in low dimensional space (P < 0.05); (3) The multimodal machine learning model results of sFNC and dFNG show that dFNG and sFNC have significant collaborative classification contributions, significantly improving classification accuracy (accuracy = 99.3%). ConclusionsPatients with ASD have systemic abnormalities at both the sFNC and dFNG levels. A multimodal integrated learning model based on the features of sFNC and dFNG can efficiently classify ASD. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.003 ObjectiveTo explore the predictive efficiency of 3.0 T high-resolution magnetic resonance vessel wall imaging (HRMR-VWI) on vertebrobasilar dolichoectasia (VBD) with posterior circulation infarction. Materials and MethodsThe clinical data of 200 patients with VBD in the hospital were retrospectively analyzed from May 2021 to June 2024. All patients received HRMR-VWI examination, and were followed up until March 2025. During follow-up, 4 cases were lost to follow-up for personal reasons, with the shedding rate of 2.00%. The patients were divided into study group (with posterior circulation infarction, 142 cases) and control group (without posterior circulation infarction, 54 cases) according to whether they were complicated with posterior circulation infarction. The predictive value of HRMR-VWI indicators on VBD with posterior circulation infarction was analyzed. According to the degree of vascular stenosis, the patients in study group were classified into mild stenosis (25% ≤ measured vascular stenosis rate < 50%), moderate stenosis (50% ≤ measured vascular stenosis rate < 70%) and severe stenosis (measured vascular stenosis rate ≥ 70%). The relationship between HRMR-VWI indicators and vascular stenosis degree in patients with posterior circulation infarction was analyzed. ResultsThe lumen area at the narrowest level in study group was smaller than that in control group while the vascular wall area and plaque area were larger than those in control group, and the plaque load and remodeling index were higher, with statistical differences (P < 0.05). Receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of combined detection of HRMR-VWI indicators in predicting VBD with posterior circulation infarction was greater than that of single detection of each indicator, with a statistical significance (P < 0.05). The levels of triglyceride, total cholesterol, low density lipoprotein, apolipoprotein A1 and fibrinogen in study group were higher while and the level of high density lipoprotein was lower than that in control group, and the proportions of patients with lumen area < 3.08 mm², vascular wall area ≥ 10.65 mm², plaque area ≥ 3.14 mm², plaque load ≥ 0.74 and remodeling index ≥ 1.01 were higher, with statistical differences (P < 0.05). The increases of total cholesterol, apolipoprotein A1 and fibrinogen, reduction of lumen area at the narrowest level, reduction of vascular wall area, enlargement of plaque area and increases of plaque load and remodeling index were the risk factors of VBD with posterior circulation infarction (P < 0.05). The proportions of BA and VA unstable plaques in study group were higher than those in control group, with statistical differences (P < 0.05). In VBD patients, the blood vessel area and lumen area at the narrowest level were negatively correlated with the degree of vascular stenosis while the plaque area, plaque load and remodeling index were positively correlated with the degree of vascular stenosis (P < 0.05). Conclusions3.0 T HRMR-VWI has predictive value on VBD patients with posterior circulation infarction, and the changes of HRMR-VWI indicators are related to posterior circulation infarction in patients. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.004 ObjectiveTo investigate the diagnostic value of magnetic resonance imaging (MRI), based on morphological features, hemodynamic characteristics and apparent diffusion coefficient (ADC), in differentiating phyllodes tumors (PT) from fibroadenomas (FA) of the breast. Materials and MethodsMRI data of 26 pathologically confirmed PT cases (26 lesions) and 53 FA cases (59 lesions) were retrospectively analyzed. The morphological features, dynamic contrast-enhanced MRI (DCE-MRI) parameters, mean ADC, and relative apparent diffusion coefficient (rADC) between the two groups were measured and calculated. The χ² test and independent sample t test were used to assess intergroup differences. Logistic regression was used to establish a combined model. The non-parametric receiver operating characteristic (ROC) curves were generated for mean ADC value and rADC values. The DeLong test was employed to compare the differences in diagnostic efficacy between mean ADC value, rADC values and the combined model. Calibration curve was drawn to evaluate the model^,s consistency, and finally assessed the model^,s clinical application value through decision curve analysis (DCA). ResultsThe mean age of patients in the PT group (39.92 ± 8.96 years) was significantly higher than that in the FA group (33.37 ± 10.22 years) (P < 0.05). PT lesions exhibited more lobulated shape, irregular or spiculated margins, low-signal segregation in T2-weighted imaging (T2WI), and cystic degeneration or necrosis. DCE-MRI showed fast enhancement in the initial phase and heterogeneous enhancement, with time-intensity curves (TIC) type II compared to FAs. The mean ADC, rADC1, and rADC2 values of the PTs were (1.500 ± 0.153) ×10⁻³ mm²/s, 0.870 ± 0.070 and 0.760 ± 0.070, these values were significantly lower than those of the FAs (P < 0.05). These values were statistically significant (P < 0.05). The diagnostic threshold of mean ADC value was 1.525×10⁻³ mm²/s, the area under the curve (AUC) was 0.730, the sensitivity was 65.4%, and the specificity was 83.1%. The sensitivity of the rADC value was higher than the mean ADC value, but its specificity was lower. The diagnostic threshold of rADC1 value was 0.923 corresponding to AUC was 0.791, the diagnostic threshold of rADC2 value was 0.847, the corresponding AUC was reduced to 0.647, and the diagnostic threshold of the combined model (lesion margin, T2WI low signal separation feature, rADC1 value) was 0.636 corresponding to AUC was 0.904, with sensitivity of 91.5% and specificity of 80.8%. The DeLong test was used to compare the AUC differences between rADC1 value, rADC2 and the combined model, and the diagnostic performance of the combined model was better than rADC1 value (P = 0.007) and rADC2 value (P < 0.001). The calibration curve demonstrated excellent agreement between the predicted probability of the combined model and actual outcome. DCA further confirmed the superior clinical utility of the combined model, providing a higher net benefit than single-parameter models across threshold probabilities of 0.2 to 0.9. ConclusionsThe multiparametric MRI model based on hemodynamic features (tumor margins, T2WI hypointense septations) and rADC1 values can effectively predict PT preoperatively, demonstrating favorable discriminative ability, calibration accuracy, and clinical utility. This approach facilitates clinical diagnosis, treatment planning, and prognosis improvement for PT. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.005 ObjectiveTo investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI functional liver imaging score (FLIS) and spontaneous portal shunt (SPSS) on the liver function assessment in patients with chronic hepatitis B (CHB) and to construct a prediction model for the first decompensation event in CHB patients. Materials and methodsA retrospective analysis was conducted on clinical and MRI data from 268 CHB patients who underwent Gd-EOB-DTPA-enhanced MRI at the Second Hospital of Lanzhou University between October 2019 and October 2021. The cohort included 192 males and 76 females, aged 21 to 77 years (mean ± SD: 48.5 ± 9.4). All patients had complete clinical laboratory test results within one week before or after the MRI examination. Patients were stratified into four groups based on the Fibrosis-4 (FIB-4) index and Child-Pugh (CP) classification: prehepatic cirrhosis chronic liver disease (CLD), early cirrhosis Child-Pugh A (CP A), mid-stage cirrhosis Child-Pugh B (CP B), and late cirrhosis Child-Pugh C (CP C). Comparison of clinical laboratory indicators and imaging parameters [FLIS, SPSS, spleen craniocaudal diameter (SCCD), portal vein width, splenic vein width] across groups using Friedman tests, chi-square tests and ANOVA for correlation analysis. Interobserver consistency of FLIS and its three components assessed via Kappa analysis. Diagnostic performance of imaging parameters for group differentiation evaluated using receiver operating characteristic (ROC) curves. Cox regression analysis of laboratory and imaging parameters with intergroup differences to predict the first decompensation event in CHB patients. Results(1) FLIS and its three parameters were moderately to strongly correlated with clinical groups (r = -0.464 to -0.671, P < 0.001). (2) Interobserver agreement for FLIS and its components was excellent (consistency coefficients: 0.931 to 1.000, P < 0.001). (3) SCCD was the optimal parameter for distinguishing CLD from CP A (AUC: 0.873, 95% CI: 0.769 to 0.904). The FLIS cutoff value of ≥ 5 best differentiated CLD/CP A from CP B/CP C (AUC: 0.839, 95% CI: 0.790 to 0.889), while FLIS ≥ 4 optimally separated CP B from CP C (AUC: 0.872, 95% CI: 0.820 to 0.924). (4) FLIS was not an independent predictor of first decompensation in CHB patients (log-rank of survival analysis, P = 0.203). Univariate analysis identified SPSS [hazard ratio (HR): 4.49] and SCCD ≥ 13.4 cm (HR: 4.81) as significant predictors (P < 0.05). The combination of SPSS (dichotomized) and SCCD provided superior predictive value for decompensation (AUC: 0.708, 95% CI: 0.631 to 0.785). ConclusionsFLIS demonstrates optimal diagnostic performance for liver function grading in CHB patients. For predicting the first decompensation event in CHB patients, SPSS and SCCD exhibit significant predictive value. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.006 ObjectiveTo develop and validate a clinical-multiparametric MRI predictive model incorporating the ovarian-adnexal reporting and data system (O-RADS) MRI score, and to evaluate its utility in distinguishing benign from malignant adnexal lesions. Materials and MethodsA retrospective study was performed to analyze 165 cases of adnexal masses that underwent pelvic MRI plain scan + enhanced examination and were confirmed by pathological histology from 2020 to 2023. The preoperative clinical indicators and imaging characteristics of the patients were collected. The differences in various indicators between benign and malignant mass groups were compared by univariate analysis. Multivariate logistic regression was used to screen out independent risk factors for predicting adnexal malignant masses, and a logistic regression prediction model was constructed and displayed in a nomogram. Receiver operating characteristic (ROC) curve, DeLong test, integrated discrimination improvement index (IDI) and net reclassification index (NRI) were used to evaluate and compare the difference in differential diagnostic performance between the logistic regression model based on O-RADS MRI score and the simple O-RADS MRI score. Calibration curves were drawn to evaluate the calibration ability of the logistic regression model. Decision curve analysis (DCA) was used to evaluate the clinical net benefits of the two models. ResultsAfter screening, a total of 165 patients (with 170 masses) were collected. The age ranged from 11 to 87 years old. The median age of the benign group was 49.50 (28.75, 60.75) years old, and the median age of the malignant group was 50.50 (38.75, 62.00) years old. The results of univariate analysis showed that there were significant differences in carbohydrate antigen 125 (CA125), human epididymis protein 4 (HE4), platelet count (PLT), lesion boundary clarity, O-RADS MRI scores, mean apparent diffusion coefficient (ADC_mean) of solid components, and ADC values of cystic fluid between benign and malignant masses (all P < 0.05) . Multifactorial logistic regression analysis showed that increased HE4 level (OR = 1.011, P = 0.028), increased O-RADS MRI score (OR = 3.085, P = 0.001), and decreased ADC_mean value (OR = 0.005, P < 0.001) were independent predictors of malignant lesions of adnexal masses. The logistic regression model was established by combining O-RADS MRI score, ADC_mean, and HE4. The area under the curve (AUC) for distinguishing benign and malignant adnexal masses was 0.944, the sensitivity was 84.9%, and the specificity was 90.5%, which were better than the simple O-RADS MRI score (AUC was 0.849, sensitivity was 89.5%, and specificity was 81.0%). DeLong test showed that the difference in AUC between the two models was statistically significant (P < 0.001). NRI and IDI showed that the logistic regression model had better differential diagnostic performance for adnexal masses than the O-RADS MRI score, and the difference were statistically significant (P < 0.05). The calibration curves showed that the calibration of the logistic regression model was good; DCA showed that the clinical net yield of the logistic regression model was greater than that of the O-RADS MRI score. ConclusionsThe logistic regression model constructed by combining O-RADS MRI score, ADC_mean and HE4 has high efficacy in the differential diagnosis of benign and malignant adnexal masses, and its differentiation efficiency is better than that of the simple O-RADS MRI score, and can be used to effectively distinguish benign and malignant adnexal masses before surgery. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.007 ObjectiveTo comparatively analyze the visualization differences between cinematic volume rendering technique (CVRT) and maximum intensity projection (MIP) in imaging lumbosacral plexus nerve sheath tumors, and further explore the clinical potential of CVRT in preoperative tumor assessment, treatment planning, and intraoperative injury reduction. Materials and MethodsRetrospective analysis of 33 patients with lumbosacral plexus nerve sheath tumors, and all of them underwent three-dimensional fast spin echo short-time flip recovery sequence imaging (3D-STIR-SPACE) after enhancement. 3D-STIR-SPACE images were used as the original images, and were processed by maximum density projection MIP and CVRT, respectively. Overall image quality (OIQ), lumbosacral plexus (LSP) versus tumor display sharpness, LSP versus tumor spatial location resolution, and image diagnostic confidence level (DCL) of MIP and CVRT images were evaluated using a 4-point scale by two investigators. The performance scores of MIP and CVRT images were statistically analyzed using the non-parametric Wilcoxon signed rank test. The intra-class correlation coefficient (ICC) was used to assess the agreement between the two methods, CVRT and MIP, respectively, and the surgical results in determining the size and location of the tumor and its relationship with the LSP. ResultsCompared with MIP images, CVRT images obtained superior image quality, LSP with tumor display clarity and spatial location resolution, and very high diagnostic confidence, and both were significantly different (P < 0.05). In the consistency analysis, CVRT images exhibited ICC values that were comparable to those of MIP images (CVRT: ICC = 0.929 to 0.957; MIP: ICC = 0.878 to 0.922). The consistency between the results derived from CVRT image analysis and the surgical outcomes was at least equivalent to or better than that obtained from MIP image analysis (CVRT vs. MIP, ICC values: 0.988 vs. 0.969, 1.000 vs. 1.000, 0.943 vs. 0.807). ConclusionsCompared with MIP, CVRT provides a clearer depiction of the anatomical relationship between the tumor and the lumbosacral plexus nerve, providing more imaging information for clinical diagnosis and treatment. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.008 ObjectiveTo explore the value of small field-of-view (sFOV) high-resolution scanning based on deep-learning reconstruction (DLR) algorithm in improving the imaging quality of finger magnetic resonance imaging (MRI). Materials and MethodsThirty-three healthy volunteers and 24 patients with hand diseases were prospectively recruited. Both the small field-of-view high-resolution T2-weighted spin-echo sequence (TSE-sFOV) and DLR combined with TSE-sFOV (TSE_DL-sFOV), were conducted on the subjects. A 4-point scale was used to subjectively evaluate the overall image quality (based on image contrast, edge sharpness, noise and artifact) and the clarity of anatomical structures (including bone, articular cartilage, tendon and ligament) in the two sets of images from 57 samples; Additionally, The lesion display (including lesion contrast and edge sharpness, lesion location and internal morphology) and diagnostic confidence were scored for 24 samples. The disease detection capabilities (including bone changes, joint space changes, tendon abnormalities, and soft tissue abnormalities) of the two groups of images from 57 samples were assessed as either 0 or 1. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the two sets of images were compared. ResultsIn the subjective evaluation, the TSE_DL-sFOV group of images scored higher than the TSE-sFOV in overall image quality, bone and articular cartilage (P < 0.05), while there was no statistical difference in tendon and ligament scores. For lesion display and diagnostic confidence in the 24 samples, the TSE_DL-sFOV group of images scored higher than the TSE-sFOV group, with statistical difference (P < 0.05). In terms of disease detection capabilities, there was no statistical difference between the two groups of images (P > 0.05), and the consistency between the two sets of images was excellent (Kappa > 0.84). In the objective evaluation, the SNR and CNR of the TSE_DL-sFOV group of images were higher than those of the TSE-sFOV group (P < 0.05). ConclusionsDLR combined with sFOV finger MRI can reduce the noise and improve the image quality under the premise of shortening scanning time. This provides more precise images for clinic. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.009 ObjectiveTo explore the feasibility of magnetic resonance image complication (MAGIC) technique in quantitative evaluation of lumbar paraspinal muscles. Materials and MethodsA total of 32 patients with lumbar spine MR examination were prospectively included, acquisition of axial MAGIC, T2/T1 mapping and T2/T1WI images. The image quality (artifact, resolution, contrast, liquid signal) was scored by Likert scale, and the signal-to-noise ratio (SNR) of vertebral body, multifidus muscle and erector spinae muscle was measured. The difference and consistency of T1/T2 values between MAGIC and traditional quantitative techniques were compared. ResultsThe average time for collecting conventional T2 and T1 comparative sequences and conventional T2 and T1 quantitative sequences was 1028 s, while the average time for collecting MAGIC sequences was 702 s, a time reduction of nearly 31.7%. The image artifacts of MAGIC T2 were less than those of conventional T2WI (P < 0.001), liquid signal intensity was higher (P = 0.027), but the spatial resolution was lower (P < 0.001). There was no significant difference in contrast between the two groups (P > 0.05). The SNR of MAGIC T1 images was lower than that of conventional images in vertebral body (P = 0.003), multifidus (P = 0.007) and erector spinae (P < 0.001). The SNR of MAGIC T2 images in the vertebral region was lower than that of conventional images (P < 0.001), and the SNR in the multifidus (P < 0.001) and erector spinae (P = 0.024) regions was higher than that of conventional images. The axial MAGIC T2MAP was highly correlated with the T2 value measured by T2 mapping: T2 value of multifidus muscle (r = 0.768, P < 0.001) and T2 value of erector spinae muscle (r = 0.836, P < 0.001). However, there was no significant correlation between MAGIC T1MAP and T1 values measured by T1 mapping (|r| < 0.3, P > 0.05). The repeatability of the two measurements was high [intra-class correlation coefficient (ICC)_T2 = 0.904, ICC_T1 = 0.960]. ConclusionsMAGIC technology can shorten the scanning time by 31.7%, provide images that meet clinical needs, and is stably applied to T2 relaxation quantification of lumbar paraspinal muscles. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.010 ObjectiveTo explore the application value of diffusion weighted imaging (DWI) based on deep learning reconstruction algorithm (DLR) in cranial MRI examination. Materials and MethodsA retrospective analysis was conducted on the MRI imaging data of 40 patients with intracranial space occupying lesions. Four sets of image quality differences were compared between conventional reconstruction (c2-DWI, c1-DWI) and DLR (DL2-DWI, DL1-DWI) with a number of excitations (NEX) of 2 and 1. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of gray and white matter were compared, as well as the apparent diffusion coefficient (ADC) of the lesion area and the contralateral normal area. Two physicians used a double-blind method to score the overall image quality, noise level, and magnetic susceptibility artifacts using a 5-point scale. ResultsThe SNR and CNR of DLR sequence gray matter and white matter were higher than those of conventional reconstructed sequence, and the difference was statistically significant (P < 0.001). There was no statistically significant difference in ADC values between the lesion area and the contralateral normal area (P > 0.05). The overall image quality and noise level scores of DLR are higher than those of conventional reconstruction, and the difference is statistically significant (P < 0.001). There was no statistically significant difference in magnetic sensitivity artifacts (P > 0.05). ConclusionsDLR can significantly improve the SNR, CNR, and subjective score of DWI images, effectively reducing image noise. While NEX is halved and scanning time is shortened, although there is limited improvement in magnetic sensitivity artifacts, it does not affect the accuracy of ADC values. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.011 ObjectiveTo evaluate the feasibility and imaging performance of a self-developed transportable magnetic resonance imaging detection array (TMRDA) for multi-site imaging of human body. Materials and MethodsPhantom studies were performed to compare the magnetic resonance imaging (MRI) performance of 24-channel TMRDA against two commercial coils: a 24-channel head and neck combined coil and a 24-channel abdominal coil. Subsequently, 34 healthy volunteers underwent standardized scans (brain, liver, and hip) using both systems. Quantitative metrics including signal-to-noise ratio (SNR), uniformity, percent signal ghosting, contrast-to-noise ratio (CNR), contrast ratio (CR), and MRI quantitative parameters were evaluated. Two radiologists performed subjective image quality assessments. ResultsIn phantom studies, TMRDA demonstrated significantly superior SNR and uniformity on both T1-weighted imaging and T2-weighted imaging compared to commercial coils (P < 0.001), with comparable or better percent signal ghosting. Volunteer studies showed TMRDA achieved significantly higher SNR and CNR across all anatomical regions (P < 0.001) with equivalent or better CR. No significant differences were observed in quantitative MRI parameters or subjective image quality scores (P > 0.05). ConclusionsThe TMRDA achieves comparable or superior image quality to dedicated commercial coils for brain, liver, and hip MRI examinations, demonstrating significant clinical utility for multi-site applications while maintaining diagnostic confidence. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.015 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.016 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.017 ^,s structure-function coupling during MDD treatment, based on structural-functional MRI. It aims to provide new perspectives for optimizing the selection of stimulation targets and offers methodological suggestions for the multi-scale objective evaluation of rTMS intervention effects. We propose that a deeper understanding of the regulatory mechanisms of rTMS on brain structure-function coupling is a core to achieving precision in MDD treatment and objectivity in efficacy evaluation. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.018 ^,s disease (AD) has become a central issue in neuroscience. The glymphatic system (GS), a perivascular network responsible for the clearance of metabolic waste in the central nervous system, plays a key role in the accumulation of amyloid-beta (Aβ) and Tau pathology associated with AD. Early visualization of structural and functional changes in GS is important to diagnose some of the neurodegenerative diseases and develop new therapeutic options. In recent years, multimodal magnetic resonance imaging (MRI) techniques—including dynamic contrast-enhanced MRI (DCE-MRI), diffusion tensor imaging analysis along the perivascular space (DTI-ALPS), chemical-exchange-saturation-transfer MRI (CEST-MRI), and resting state functional MRI (rs-fMRI)—have gradually visualized the structure and function of GS in a noninvasive or minimally invasive way. In this paper, we review the preclinical and clinical research evidence and dynamically monitor the GS functional changes and influx-efflux pathways using multimodal MRI technology. By elucidating visualized evidence of GS dysfunction and identifying associated neuroimaging biomarkers, this work aims to provide novel insights into early AD diagnosis and the underlying pathological mechanisms. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.019 ^,s structure and function under non-invasive conditions, allowing for an in-depth analysis of the characteristics and mechanisms of the changes in brain function in amblyopia. This article summarizes the literature on the use of MRI technology in recent years to study the brain function mechanisms in patients with amblyopia. Structural MRI shows that the gray matter volume and cortical thickness in brain regions related to the visual pathway of amblyopic patients is reduced. Functional MRI, through task-based fMRI, reveals reduced activation of the visual cortex, and resting-state fMRI shows abnormalities in the amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) values of neurons in local brain regions, changes in the functional connectivity of the primary and secondary visual pathways, as well as alterations in brain functional networks such as the default mode network and the salience network. Diffusion MRI reveals a decrease in the fractional anisotropy (FA) value and an increase in the mean diffusivity (MD) value of white matter fiber tracts. Magnetic resonance spectroscopy (MRS) shows a decrease in the γ-aminobutyric acid (GABA) level in the visual cortex. Based on the arterial spin labeling (ASL) cerebral perfusion imaging technique, it has been found that cerebral blood perfusion in certain brain regions of amblyopic patients is reduced. This article reviews the contents mentioned above, aiming to provide more references for the study of the brain mechanisms of amblyopia. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.020 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.021 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.022 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.023 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.024 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.025 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.026 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.027 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.028 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.029 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.030 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.031 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.032 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.033 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.034 *) and effective transverse relaxation rate (R2^*), thereby indirectly reflecting tumor oxygenation status. As one of the MRI functional imaging methods for assessing tumor hypoxia, it offers advantages in non-invasive comprehensive assessment of tumor oxygenation and monitoring its dynamic changes. In recent years, the emergence of quantitative BOLD-MRI (qBOLD-MRI) technology has achieved a technological leap from indirect to direct evaluation of tissue oxygenation, enabling more precise capture of tumor oxygen metabolism-related information and further expanding the application prospects of BOLD-MRI. This article comprehensively reviews research advances in quantitative assessment of tumor hypoxia by BOLD-MRI and qBOLD-MRI, explores research prospects and future directions, and aims to provide evidence for developing personalized tumor treatment strategies. ]]> Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.035 Sun,20 Jul 2025 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2025.07.036 Sun,20 Jul 2025 00:00:00 GMT