http://www.med-sci.cn/cgzcx/en/contents_list.asp?issue=202407 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.001 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.002 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.003 ObjectiveTo investigate the image findings of autoimmune encephalitis (AE) based on ¹⁸F-fludeoxyglucose positron emission tomography/magnetic resonance (¹⁸F-FDG PET/MR) images and explore imaging markers that can improve the diagnostic efficacy of AE. Materials and MethodsTwenty-five patients with AE (AE group) and 11 healthy controls (HC) group were included in this study. All subjects were undergoing head ¹⁸F-FDG PET/MR scan. The areas of brain abnormal FDG uptake in AE group were obtained using statistical parametric mapping 12 (SPM12) processing package. The volume/total intracranial volume (volume/TIV) and average standardized uptake value ratio (SUVr) of brain areas were extracted using multimodal brain analysis software, and statistical analysis was performed to obtain the differences between the AE group and the HC group. Brain regions with significant differences in volume/TIV and SUVr were selected respectively to make receiver operating characteristic (ROC) curves, and the diagnostic efficiency of single parameters and their pairwise combinations were calculated. DeLong test was performed predict the best model. Calibration curve and decision curve were drawn to evaluate the accuracy of the prediction model. Permutation testing was employed to evaluate the statistical significance. ResultsAnalysis using SPM12 showed the abnormal FDG uptake areas in AE group increased in brain stem and cerebellum (P<0.001), and decreased in bilateral frontal, parietal and right occipital lobes (P<0.001). The results of brain structural analysis showed that the volume/TIV of insula, cingulate gyrus and talar gyrus decreased (P<0.05), SUVr decreased in the middle cingulate gyrus, parietal lobe, cuneus and lateral occipital gyrus (P<0.05). The volume/TIV of the left talar gyrus and the SUVr of the left middle cingulate gyrus were the two parameters with the most significant differences between the two groups. The ROC curve found that the combination of the volume/TIV of the left talar gyrus and the SUVr of the left middle cingulate gyrus had the highest diagnostic efficiency (area under the curve=0.964). DeLong test showed that there was a significant difference between the diagnostic efficacy of any two quantitative parameters combined with any single parameter (P<0.05). The calibration curve showed that the calibration of the diagnostic model was general, but the decision curve showed that patients could obtain relatively high net benefits within a certain risk threshold. Permutation test showed that there were significant differences in volume/TIV of the left calcarine gyrus and SUVr of the left middle cingulate gyrus between AE group and HC group. ConclusionsMultiple brain regions with FDG metabolism abnormalities and brain volume changes are found in ¹⁸F-FDG PET/MR of AE patients. The combination of the volume/TIV of the left talar gyrus and the SUVr of the left middle cingulate gyrus is a potential biomarker of diagnosing AE. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.004 ObjectiveTo investigate the discriminative ability of integrated ¹⁸F-fluoroethyltyrosine (¹⁸F-FET) positron emission tomography (PET)/MR for O6-methylguanine DNA methyltransferase (MGMT) gene promoter methylation status in adult gliomas. Materials and MethodsA total of 16 patients with unbiopsied or untreated gliomas were retrospectively enrolled to complete integrated PET/MR scans, including ¹⁸F-FET PET, conventional MRI and intravoxel incoherent motion (IVIM) imaging. The volume of interest (VOI) segmentation of PET images was performed using target-background ratio (TBR)=1.6 as a threshold, and IVIM maps corresponding to tumor VOI and their parameters, apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo diffusion coefficient (D^*), perfusion fraction (f), distributed diffusion coefficient (DDC), and heterogeneity index (α), were obtained by rigid alignment, and the corresponding first-order gray-scale histogram features were obtained by feature extraction of each parameter using pyradiomics. The eigenvalues corresponding to each IVIM parameter map were calculated in relation to the ¹⁸F-FET PET parameters, and the ability of PET and IVIM parameters to discriminate MGMT promoter methylation was explored using between-group comparisons and receiver operating characteristic (ROC) curve analysis. ResultsThe two eigenvalues 90th percentile (r=0.526, P<0.05) and maximum (r=0.520, P<0.05) of IVIM-α were positively correlated with mean standard uptake value (SUVmean) of PET parameter; The differences between IVIM-α and SUVmean in the two groups of positive and negative MGMT promoter methylation status were statistically significant (P<0.05), and the positive group had significantly higher mean IVIM-α and SUVmean than the negative group. The area under the curve (AUC) of discrimination of the methylation status of the MGMT promoter by incorporating the mean IVIM-α value and SUVmean was 0.77. Conclusions¹⁸F-FET PET and IVIM parameters based on integrated PET/MR can effectively predict MGMT promoter methylation status in gliomas. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.005 ObjectiveTo investigate the value of ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography magnetic resonance (PET/MR) metabolic parameters and diffusion parameters in the prognosis of patients with non-small cell lung cancer (NSCLC). Materials and MethodsProspective 3.0 T chest ¹⁸F-FDG PET/MR hybrid scans were performed in patients suspected of having lung space occupying lesions by CT examination in Henan Provincial People^,s Hospital from July 8, 2020 to July 29, 2021. The relationship between the maximum standardized uptake value (SUV_max) and apparent diffusion coefficient (ADC) of scanned images and clinical possible prognostic factors was analyzed. Kaplan Meier method, log rank test and univariate and multivariate Cox regression were used to analyze the relationship between metabolic parameter SUV_max and diffusion parameter ADC and overall survival (OS) and progression free survival (PFS). ResultsThe median SUV_max and ADC of 48 NSCLC patients were 5.87 (3.92, 9.66) and 1.41 (1.28, 1.57), respectively. Univariate analysis showed that whether surgery [HR=6.704, 95% confidence interval (CI): 1.422-31.614, P=0.016; HR=7.174, 95% CI: 1.486-34.626, P=0.014], SUV_max (HR=1.170, 95% CI: 1.010-1.355, P=0.036; HR=1.173, 95% CI: 1.010-1.360, P=0.035) and ADC (HR=0.010, 95% CI: 0.000-0.232, P=0.004; HR=0.006, 95% CI: 0. 000-0.156, P=0.002) were the influencing factors of PFS and OS in NSCLC patients. Multivariate analysis showed that ADC (HR=0.012, 95% CI: 0.000-0.386, P=0.012; HR=0.008, 95% CI: 0.000-0.298, P=0.009) was an independent risk factor for PFS and OS in NSCLC patients. ConclusionsBoth SUV_max and ADC are prognostic factors for NSCLC patients, and ADC may be more helpful in predicting the prognosis of NSCLC patients than SUV_max. ¹⁸F-FDG PET/MR metabolic parameters and diffusion parameters have certain value for the prognosis evaluation of NSCLC patients. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.006 ObjectiveTo explore the correlation between ¹⁸F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/MR radiomic features and the expression of programmed death-ligand 1 (PD-L1) in cervical cancer. Materials and MethodsA retrospective analysis was conducted on 26 cervical cancer patients who underwent ¹⁸F-FDG PET/MR scans at Shengjing Hospital, China Medical University, from May 2017 to July 2023. Regions of interest (ROIs) were delineated on the images of the primary lesions in PET, T1WI, and T2WI. Each cross-sectional image containing an ROI for each patient was treated as a sample. Based on sampling and staining of surgical specimens, the samples were divided into a positive group (n=233, 73.97%) and a negative group (n=82, 26.03%). Radiomic features were extracted from the images using first-order statistics. Independent sample t-tests or Mann-Whitney U tests were used to compare the differences in feature parameters between the two groups. The correlation between image feature parameters and PD-L1 expression was analyzed. The samples were randomly divided into training and testing sets in a 7∶3 ratio. Radiomic features with statistically significant differences were used as parameters to establish PET radiomic models, MR radiomic models, and PET/MR combined models through logistic regression. The diagnostic performance of each model for PD-L1 expression was evaluated using the area under the curve (AUC) analysis of receiver operating characteristic (ROC) curves. ResultsThe 15 first-order statistical features of PET images, including 10Percentile (P<0.01), 90Percentile (P<0.01), Energy (P<0.01), Interquartile Range (P<0.01), and others, exhibit a strong correlation with PD-L1 expression. Similarly, the T1WI image parameters, such as 10Percentile (P<0.01), 90Percentile (P<0.05), Maximum (P<0.05), Mean (P<0.01), and nine other first-order statistical features, show a strong correlation with PD-L1 expression. Additionally, the T2WI image parameters, including Entropy (P<0.05), Skewness (P<0.01), Energy (P<0.05), Interquartile Range (P<0.01), and eight other first-order statistical features, demonstrate a strong correlation with PD-L1 expression. Conclusions¹⁸F-FDG PET/MR radiomic features show a strong correlation with the differential expression of PD-L1 in cervical cancer. The PET/MR radiomic model demonstrates better performance in predicting PD-L1 expression, providing a potential clinical tool for assessing PD-L1 expression in cervical cancer patients to optimize individualized treatment plans and improve patient prognosis. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.007 ObjectiveThe debate about the differences between Asperger^,s syndrome (AS) and high functioning autism (HFA) has been ongoing for decades. Many previous studies have explored the differences between them from the perspective of cognitive psychology, but few studies have explored them from the perspective of functional brain imaging. In this study, we intend to use graph theory to explore the differences in brain function between these two diseases. Materials and MethodsImaging data from the American Autism Brain Imaging Exchange Database Ⅰ (ABIDEI) were used, including resting fMRI data from patients with AS (n=55) and HFA (n=53). The two groups of image data were preprocessed, and the brain network graph theory parameters of the two groups were calculated. The two sample t test was used to compare the brain network graph theory parameters between the two groups, and a post hoc test (Bonferroni^,s correction) was performed. Partial correlation analysis was used to investigate the correlation between graph theory indicators with significant differences and clinical data in the two groups. ResultsThere were significant differences in the graph theory indexes of right superior temporal gyrus (P=0.016) and right middle frontal gyrus (P=0.044) between AS group and HFA group. These brain regions are involved in social, empathy, language and cognitive functions. In addition, nodal local efficiency (NLE) was negatively correlated with Autism Diagnostic Observation Schedule (ADOS) score in AS group (left insula: r=-0.366, P=0.033; right insula: r=-0.412, P=0.016). ConclusionsThe results of this study may provide new ideas and insights into the brain function mechanism of different types of autism and help to reveal the specificity of diagnosis and treatment of different subtypes of autism. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.008 ObjectiveTo explore the changes of spontaneous neural activity in type 2 diabetes mellitus (T2DM) patients without cognitive impairment based on dynamic functional network connectivity (dFNC) analysis. Materials and MethodsThirty-nine T2DM patients without cognitive impairment and 39 age, sex and education matched healthy controls were included in this study. Both groups underwent resting-state functional magnetic resonance imaging (rs-fMRI) scan in a 3.0 T MRI scanner. After being preprocessed, the functional images were further managed using GIFT package to perform dFNC analyzing and statistical comparisons. Correlations between measurements of dFNC and clinical characteristics were also investigated. ResultsT2DM patients had significantly higher mean dewell time (P=0.014) and fraction time (P=0.039) in state5, and significantly higher functional connectivity between the primary visual network and the salient network (P=0.027), and significantly lower functional connections in the visuospatial network and the basal ganglia network (all P=0.044). However, the aforementioned dynamic brain function indicators show no significant correlation with clinical indicators such as fasting blood glucose levels (all P>0.05). ConclusionsThere were abnormal changes in dFNC patterns and connectivity of vision-related networks in T2DM patients without cognitive impairment, which might provide more information to help understand neuropathological mechanism in diabetic brains. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.009 ObjectiveTo explore whether the functional connectivity (FC) of the default mode network (DMN) can predict the sleep disturbance scores of the patients with major depressive disorder (MDD). Materials and MethodsThe resting functional magnetic resonance imaging data of 326 patients with MDD from the REST-meta-MDD project were included after undergoing rigorous selection based on the experimental criteria. The entire brain was defined into 256 regions based on the Power template, followed by separate extraction of the FC of the intra- and inter- DMN. Connectome-based predictive modeling was employed to regress individual sleep disturbance score using both types of FC feature, and the experimental findings would be subsequently validated on an external independent validation dataset. ResultsThe predictive model based on the intra-FC of the DMN demonstrated significant prediction capability for sleep disturbance scores in individuals with depression, not only in the discovery dataset (r=0.244, P<0.001), but also in the external validation dataset (r=0.345, P=0.046). However, models based on the inter-FC of the DMN exhibited limited prediction ability and can only predict the scores in the discovery dataset (r=0.238, P<0.001), failing to generalize to the external validation dataset (r=0.256, P=0.143). ConclusionsThe intra-FC of DMN demonstrates predictive capability for the sleep disturbance scores in patients with MDD in some extent. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.010 ObjectiveTo compare the regional differences in resting-state functional MRI (fMRI) fractional amplitude of low-frequency fluctuations (fALFF) in the brains of patients with chronic fatigue syndrome (CFS) accompanied by anxiety and depressive symptoms after treatment with the Prolong Life With Nine Turn (PLWNT) method versus cognitive-behavioral therapy (CBT). Materials and MethodsThirty CFS patients were randomly assigned to either the PLWNT group or the cognitive behavioral therapy (CBT) group. FMRI was conducted after 12 weeks of treatment, and Pearson correlation analysis was employed to examine the linear relationship between changes in fALFF and the Hospital Anxiety and Depression Scale (HADS). ResultsCompared to the control group, fALFF decreased in the left fusiform gyrus, left suproccipital gyrus, and left angular gyrus. The right medial temporal gyrus showed increased brain activity. Anxiety symptom scores positively correlated with fALFF values in the fusiform gyrus (r=0.525, P=0.044) and occipital gyrus (r=0.559, P=0.030), while depression symptom scores positively correlated with fALFF values in the fusiform gyrus (r=0.542, P=0.037) (P<0.05). ConclusionsThe PLWNT may objectively reflect anxiety and depression symptoms in CFS patients through neural activity levels in the fusiform gyrus, occipital gyrus, angular gyrus, and middle temporal gyrus. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.011 ObjectiveTo investigate the effect of real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) on the modulation of amygdala activity and its impact on the degree centrality (DC) in the brains of patients with insomnia disorder (ID). Materials and MethodsThe study applied rtfMRI-NF to modulate the amygdala activity of 34 ID patients, assessing the effects before and after treatment using Polysomnography (PSG) and the Pittsburgh Sleep Quality Index (PSQI). Paired t-tests were used to analyze the differences in DC values of brain regions before and after the intervention, exploring the changes in DC values and their correlations with clinical scale data. ResultsAfter rtfMRI-NF modulation, significant reductions were observed in the PSQI scores and Insomnia Severity Index (ISI) among ID patients (P<0.05 for both). Furthermore, an increase in the DC value of the right parahippocampal gyrus was noted (GRF corrected, voxel-level P<0.001, cluster-level P<0.05), which negatively correlated with the change in sleep efficiency (r=-0.478, P<0.05); Conversely, a decrease in the DC value of areas such as the right dorsolateral prefrontal cortex was observed (GRF corrected, voxel-level P<0.001, cluster-level P<0.05), positively correlating with the post-intervention ISI scores (r =0.488, P<0.05). ConclusionsrtfMRI-NF can reshape the DC values of specific brain regions in ID patients and effectively improve their sleep quality. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.012 ObjectiveTo analyze the diagnostic value of high-resolution magnetic resonance vascular wall imaging (HR-VWI) of the carotid artery for the occurrence and recurrence of ischemic stroke based on Meta. Materials and MethodsRetrieve relevant studies on HR-VWI assessment of ischemic stroke occurrence and recurrence published in Web of Science, Embase, The Cochrane Library, Medline, PubMed, China National Knowledge Network, Wanfang, and VIP database, with a search period from database establishment to February 2024. Select literature based on inclusion and exclusion criteria. Use a fixed effects model to calculate and combine the odds ratio (OR) or hazard ratio (HR) of different vulnerable carotid plaque features, and conduct meta-analysis using Stata 17.0 and RevMan 5.6. ResultsSeventeen articles met the inclusion criteria. In 8 retrospective studies, intraplaque hemorrhage (OR=1.92, 95% CI: 1.46-2.52), lipid-rich necrotic nucleus (OR=2.78, 95% CI: 1.84-4.18), plaque calcification (OR=1.26, 95% CI: 0.99-1.61) and fibrous cap rupture (OR=1.64, 95% CI: 1.06-2.52) were significantly associated with ischemic stroke. In nine prospective studies, intraplaque hemorrhage (HR=6.88, 95% CI: 4.46-10.61), lipid-rich necrotic nucleus (HR=1.78, 95% CI: 0.87-3.65), fibrous cap rupture (HR=3.01, 95% CI: 1.53-5.93) were significantly associated with ischemic stroke recurrence. ConclusionsHR-VWI can accurately evaluate the characteristics of carotid artery plaque components, which are significantly related with the occurrence and recurrence of ischemic stroke. Due to the lack of original research, a large sample size cohort study of carotid plaque is needed in the future to further provide timely accurate prediction of the occurrence and recurrence of ischemic stroke and guide clinical treatment by assessing the characteristics of carotid atherosclerotic plaque. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.013 ObjectiveTo explore the predictive value of hypoperfusion intensity ratio (HIR) in the outcome of late-time windows acute stroke patients after endovascular thrombectomy, using digital subtraction angiography (DSA) as collateral circulation standard. Materials and MethodsA total of 160 acute stroke patients in late-time windows (6-24 hours) receiving endovascular thrombectomy therapy in our study from January 2020 to March 2023 were analyzed retrospectively. American Society of Interventional and Therapeutic Neuroradiology (ASITN) grading system was used to evaluate the collateral circulation (poor collateral circulation: 0-2 grade; good collateral circulation: 3-4 grade). HIR was defined as the ratio of the time-to-maximum (T_max)>10 s over T_max>6 s lesion volumes. Modified Rankin Scale (mRS) score was used to evaluate the outcome at 3 months (good outcome: 0-2 score; poor outcome: 3-6 score). Spearman rank correlation and receiver operating characteristic (ROC) curve analysis were performed to evaluate the predictive value in the outcome of acute stroke patients in the late-time windows. ResultsCompared with the good collaterals group (n=90), the poor collaterals group (n=70) had higher HIR values (0.45±0.07 vs. 0.30±0.08; P<0.001), higher hemorrhagic transformation rates (44.43% vs. 20.00%; P=0.003), higher early neurological deterioration rates (45.71% vs. 23.33%; P=0.003), and lower good outcome rates (44.29% vs. 67.78%; P=0.030). Spearman correlation analysis showed good negative correlation between HIR value and ASITN grading (good outcome group: r=-0.856; P<0.001; poor outcome group: r=-0.888; P<0.001); the HIR value is positively correlated with the mRS score at 3 month (r=0.773; P<0.001). Multivariate logistic regression analysis showed that HIR [OR (95% CI): 0.629 (0.421-1.418); P=0.041] is independent predictors of time from stroke onset. ROC curve analysis showed that there was no significant statistical difference in the predictive efficacy of ASITN grading and HIR in predicting the outcome of acute stroke in the late-time window (AUC: 0.837 vs. 0.887; Z=1.696, P=0.090). ConclusionsThe evaluation of collateral circulation based on HIR can accurately predict the outcome after endovascular treatment of acute stroke in the late-time windows, providing personalized treatment guidance for clinical practice. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.014 ObjectiveTo assess the utility of synthetic MRI quantitative parameters and multiplexed sensitivity encoding diffusion weighted imaging (MUSE-DWI) in combination to differentiate glioma progressive disease (PD) from treatment-related change (TRC). Materials and MethodsIn this study, we collected 45 patients who exhibited new enhancing lesions after surgery followed by completion of chemoradiation therapy from September 2020 to November 2022. The scan sequences included synthetic MRI, MUSE-DWI and contrast enhanced T1-weighted imaging (CE_T1WI). The patients were classified into two groups: PD group (n=26) and TRC group (n=19). The ROI is placed on each image to measure apparent diffusion coefficient (ADC), pre-contrast T1, T2 value (T1_pre, T2_pre) and post-contrast T1, T2 value (T1_post, T2_post). Quantitative parameters (T1_pre, T2_pre and T1_post, T2_post) and ADC were evaluated using Student^,s t-test or Mann-Whitney U test. We generated receiver operating characteristic (ROC) curves for each parameter and their combinations. Finally, we used the area under the ROC curve (AUC) to assess the performance of each parameter and their combinations. Results(1) The T1_pre value in the PD group were significantly higher than the TRC group (P<0.05). The values of T1_post and ADC in the PD group were significantly lower than the TRC group (all P<0.05). There was no statistical difference in T2_pre, T2_post value (P>0.05). (2) ADC diagnostic performance was highest when using single parameter analysis (AUC=0.878), followed by T1_post and T1_pre with AUC of 0.783 and 0.745, respectively. The combinations of two parameters (T1_pre+T1_post) improved the diagnostic performance (AUC=0.850) compared to the single parameter. A combined multi-parameter model (T1_pre+T1_post+ADC) was established with the highest diagnostic efficacy (AUC=0.901). ConclusionsThe combinations of the two techniques to construct a multiparametric combined model of relaxation quantitative parameters (T1_pre, T1_post) combined with ADC values have a good diagnostic value in differentiating PD and TRC. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.015 ObjectiveTo investigate the effects of moderate-intensity aerobic exercise on the plasticity of gray matter in female college students with high and low aerobic capacity by voxel-based morphometry (VBM). Materials and MethodsHealthy female college students were included in the study and divided into high and low aerobic capacity groups based on their maximum oxygen uptake (VO_2max). They underwent a 16-week regimen of moderate-intensity aerobic exercise intervention. T1-weighted brain structural images were collected before and after the aerobic exercise intervention, and changes in brain gray matter volume in the high and low aerobic capacity groups were compared using voxel-based morphometry (VBM). ResultsRepeated measures ANOVA showed that after the intervention of moderate-intensity aerobic exercise, there was a significant increase in the VO_2max among both high and low aerobic capacity female college students (P<0.001). In female students with low aerobic capacity, there was a significant reduction in gray matter volume in the bilateral superior temporal gyrus/middle temporal gyrus/supramarginal gyrus/inferior parietal lobule, and right medial frontal gyrus/anterior cingulate gyrus/medial frontal gyrus (GRF corrected, voxel-level P<0.001, cluster-level P<0.01). In high aerobic capacity female students, significant reductions in gray matter volume were observed in the bilateral medial frontal gyrus/anterior cingulate gyrus, left medial frontal gyrus/inferior frontal gyrus, left superior temporal gyrus/middle temporal gyrus, right superior frontal gyrus/inferior frontal gyrus/insula, and right middle temporal gyrus/inferior temporal gyrus (GRF corrected, voxel-level P<0.001, cluster-level P<0.01). Conclusionschanges in gray matter structure in female college students induced by moderate-intensity aerobic exercise may be one of the mechanisms of brain plasticity induced by exercise. Moreover, these changes were correlated with the VO_2max of the participants. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.016 ObjectiveDiffusion kurtosis imaging (DKI) was used to study the white matter microstructure changes in mild traumatic brain injury (mTBI) patients, so as to explore the clinical application value of DKI in mTBI patients. Materials and MethodsThe clinical and DKI data of 27 mTBI patients who were diagnosed in our hospital and 27 healthy control subjects matched in gender, age, and years of education recruited from January to December 2018 were analyzed. Using the tract-based spatial statistics (TBSS) method to analyze the differences in brain regions and their fractional anisotropy (FA) value, mean kurtosis (MK) value, axial kurtosis (AK) value, radial kurtosis (RK) value, and kurtosis fractional anisotropy (KFA) value between the mTBI patients subjects and the control subjects. ResultsThe FA value of the left superior longitudinal fasciculus (temporal part) was lower in mTBI patients (0.450±0.048) than that in the control subjects (0.480±0.028, t=-2.253, P=0.028 5). The AK value of the forceps major was lower in mTBI patients (0.68±0.05) than that in the control subjects (0.72±0.05, t=-2.407, P=0.019 7). The RK value of the right cingulum (hippocampus) was lower in mTBI patients (0.89±0.15) than that in the control subjects (0.99±0.18, t=-2.044, P=0.0 460). The KFA values of the right anterior thalamic radiation, the right cingulum (cingulate gyrus), the right inferior fronto-occipital fasciculus, the right inferior longitudinal fasciculus, and the right superior longitudinal fasciculus (temporal part) were lower in mTBI patients [(0.49±0.19), (0.50±0.32), (0.48±0.30), (0.49±0.03), and (0.54±0.59)] than that in the control subjects[(0.51±0.13), (0.52±0.20), (0.50±0.02), (0.51±0.26), and (0.57±0.46), t=-2.15, -2.95, -2.37, -2.38, and -2.25, respectively,all P＜0.05]. However, there was no statistically significant difference in MK values between the subjectss (P>0.05). ConclusionsThe DKI parameter serves as a neuroimaging biomarker for assessing brain white matter alterations in patients with acute mTBI, capable of unveiling minute variations in white matter microstructure. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.017 ObjectiveTo assess the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for staging thyroid-associated ophthalmopathy (TAO). Materials and MethodsWe prospectively enrolled 56 TAO patients , and divided them into active group (37 patients with 74 eyes) and inactive group (19 patients with 38 eyes). The minimum, mean, and maximum values of semi-quantitative [time to peak (TTP), area under the time-signal intensity curve (AUC), maximum enhancement slope (Slope_max)] and quantitative [volume transfer constant (K^trans), the rate constant (K_ep), fractional volume of the extravascular-extracellular space (V_e)] parameters were calculated and compared between groups. Multivariate logistic regression analysis was applied to identify the independent imaging indicators of active TAO. Receiver operating characteristic (ROC) curve analysis was used to evaluate the performance of the identified significant imaging parameters and their combination. ResultsActive patients showed significantly higher mean TTP, mean and maximum AUC, mean and maximum V_e than inactive patients (P<0.05). Maximum AUC and mean V_e were found to be independent variables for determining the disease activity (P=0.030, 0.014, respectively). The area under ROC curve of active TAO was 0.689 and 0.673, respectively, using the maximum AUC and the mean Ve values. Combination of two parameters could determine the active TAO with optimal performance (area under the ROC curve 0.731). ConclusionsDCE-MRI-derived semi-quantitative and quantitative parameters are all useful for determining the activity of TAO. The model combining maximum AUC and mean V_e can effectively help to stage the patients with TAO. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.018 ObjectiveTo explore the intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI) and diagnostic value of radiomics models based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), in prediction of human epidermal growth factor receptor 2 (HER-2) positive status in breast cancer patients. Materials and MethodsThe clinical data of 192 patients with breast cancer were analyzed retrospectively. Patients were divided into HER-2 positive group (48 cases) and HER-2 negative group (144 cases) based on their pathological results. All patients underwent IVIM, DKI, and DCE-MRI scans before surgery. And then these data were randomly divided into training sets (n=154) and test sets (n=38) at a ratio of 8∶2. The three-dimensional volume region of interest of the tumor was manually delineated on the perfusion fraction (f), perfusion related diffusion coefficient (D^*), real diffusion coefficient (D), mean diffusivity (MD) and mean kurtosis (MK) parameter maps and the second phase of dynamic contrast-enhanced MRI, and radiomics features were extracted. The Z-score normalization was used for feature normalization, and the Select K Best, max-relevance and min-redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to single out the most valuable radiomic features. The parametric map models and a combined model were established by logistic regression (LR) classifier, and the stability of the models was verified by the 5-fold cross-validation. The receive operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the efficacy of the model. In addition, the DeLong test was used to compare the models, and decision curve analysis (DCA) was used to evaluate the models. ResultsA total of 2286 radiomics features were extracted from each ROI, and 7, 6, 7, 6, 7, 12 and 10 features were selected from the f, D^*, D, MD, and MK parametric maps, the second phase of dynamic contrast-enhanced MRI (DCE-2) and combined sequence, respectively, which were related to breast cancer HER-2 status. The AUC of the f, D^*, D, MD, and MK models and the DCE-2 model in the test group were 0.693, 0.679, 0.586, 0.682, 0.661 and 0.732, respectively. The AUC of the combined model in the test group was 0.861 (95% CI: 0.775-0.958). The sensitivity and specificity were 100.0% and 71.4%. By DeLong^,s test, in the training set there were statistically significant differences between combined model and the f model, the D model, the D^* model, the MD model, the MK model and the DCE-2 model (P<0.05). The results showed that the combined model was better than the single parameter diagram model in predicting the status of HER-2. ConclusionsThe combined radiomics model based on DCE-MRI, IVIM and DKI can better predict the expression status of HER-2 in breast cancer patients, which is important for the diagnosis, treatment and prognosis of breast cancer. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.019 ObjectiveTo explore the value of synthetic MRI (syMRI) and conventional MRI in identifying triple negative breast cancer (TNBC) and nonTNBC. Materials and MethodsThis retrospective study included 167 patients with pathologically proven breast cancer. There were 30 cases in the TNBC group and 137 cases in the nonTNBC group. All patients underwent syMRI examinations. The following parameters were measured and evaluated: fibroglandular tissue, background parenchymal enhancement, lesion shape, edge, diameter, T2WI signal, apparent diffusion coefficient (ADC), patterns of enhancement, time-signal intensity curve, syMRI parameters (T1pre, T2pre, PDpre, T1Gd, T2Gd, PDGd). Univariate and multivariate analysis were used to compare the parameters of TNBC group and nonTNBC group and three predictive models were established: syMRI model, conventional MRI model and Joint model (syMRI+ conventional MRI). Receiver operator characteristic curve and area under the curve (AUC) were used to analyze the efficiency of each predictive model in distinguishing TNBC and non-TNBC. Then the DeLong test was used to compare the differences in AUC. ResultsThere were statistically significant differences (P<0.05) in T2WI, ADC, rim enhancement, T1pre, T2pre, T1Gd, T2Gd, ΔT2, ΔPD, rT2, ΔT2% and ΔPD% between TNBC group and non TNBC group. Multivariate analyses showed that ADC, the presence of rim enhancement, T2pre, T1Gd and T2Gd were independent predictors for diagnosis of TNBC (P<0.05). Joint model had the highest diagnostic performance with an AUC of 0.932. ConclusionsThe prediction model established based on syMRI and conventional MRI have value in identifying TNBC and nonTNBC. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.020 ObjectiveTo explore the diagnostic value of combining quantitative parameters of intravoxel incoherent motion (IVIM) with apparent diffusion coefficient (ADC) for prostate cancer (PCa). Materials and MethodsSeventy-four cases underwent multiparametric magnetic resonance (mpMRI) prostate examination, including 41 cases of PCa (28 cases in the peripheral zone, 13 cases in the transitional zone) and 33 cases of benign prostatic hyperplasia (BPH). Quantitative parameters including true diffusion coefficient (D), pseudo-diffusion coefficient (D^*), perfusion fraction (f), and ADC value were obtained by using a bi-exponential model fitting algorithm. The differences in D value, D^* value, f value and ADC value were compared between PCa and prostate hyperplastic nodule with hypointense and hyperintense in T2WI. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of combining IVIM quantitative parameters with ADC for PCa. The correlation of each quantitative parameter of IVIM and ADC with the Gleason score was analyzed. ResultsThe ADC, D, and f values of PCa were significantly lower than those of hyperplastic nodule with hypointense and hyperintense in T2WI, with statistically significant differences (P<0.05). D value had the largest area under the curve (AUC) and the highest specificity in distinguishing PCa from prostate hyperplastic nodule with hypointense in T2WI, with statistically significant differences (P<0.05). The combination of ADC, D and f values significantly increased the AUC and sensitivity between PCa and hyperplastic nodule with hypointense in T2WI (0.948, 90.24% respectively). ADC value showed very high AUC, sensitivity and specificity for distinguishing PCa from prostate hyperplastic nodule with hyperintense in T2WI (0.997, 97.65%, 100.00% respectively). There was no significant correlation between ADC value, each quantitative parameter of IVIM and the Gleason score (P=0.068, 0.455, 0.822, 0.297). ConclusionsThe quantitative parameters of IVIM combined with ADC can obviously improve the differential diagnostic efficacy for PCa and BPH. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.021 ObjectiveTo investigate the differential value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantitative values based on the Prostate Imaging Reporting and Data System (PI-RADS) version V2.1 between peripheral zone prostate cancer (PCa) and focal chronic prostatitis (CP). Materials and MethodsWe reviewed 57 patients with peripheral zone PCa (study group) and 21 patients with CP (control group) admitted to the Second Peoples Hospital of Wuhu between January 2022 and April 2023, and all patients underwent T2WI, diffusion weighted imaging (DWI), and DCE-MRI. The PI-RADS V2.1 scores, quantitative values of DCE-MRI scans, were compared between the two groups for the bi-parameter (bp)-MRI (T2WI+DWI) and multi-parameter (mp)-MRI (T2WI+DWI+DCE-MRI) scanning protocols. The diagnostic value of each diagnostic protocol for peripheral zone PCa was assessed using receiver operating characteristic (ROC) curves. ResultsThe PI-RADS V2.1 scores of the bp-MRI and mp-MRI scan protocols in the study group were (4.12±0.88) and (4.31±0.70), respectively, which were higher than those of the control group (2.42±1.14) and (2.52±1.22), respectively (P<0.05). The volume transport constant (K^trans) and rate constant (K_ep) of DCE-MRI quantitative values in the study group were higher than those in the control group (P<0.001). There was no statistical difference between the two groups in terms of extravascular extracellular volume fraction (V_e) (P>0.05). ROC analysis showed that the AUC (95% CI) for bp-MRI, mp-MRI, K^trans and K_ep for the diagnosis of PCa in the peripheral zone were 0.780 (0.672-0.866), 0.857 (0.759-0.926), 0.734 (0.622-0.828) and 0.818 (0.716-0.896), respectively. The diagnostic efficacy of mp-MRI was slightly higher than that of bp-MRI (P<0.05), and the differences among the remaining items were not statistically significant (P>0.05). The ROC fitted diagnostic model using the logit(p) method showed no statistically significant differences in the diagnostic efficacy of K_ep+K^trans, mp-MRI+K^trans and mp-MRI+K_ep when compared to PCa in the peripheral zone (P>0.05). The diagnostic efficacy of K_ep+K^trans was not statistically significant when compared with bp-MRI, mp-MRI, K^trans and K_ep (P>0.05). The diagnostic efficacy of mp-MRI+K^trans was higher than that of bp-MRI, mp-MRI, K_ep and K^trans, respectively (P<0.05). The diagnostic efficacy of mp-MRI+K_ep was higher than that of bp-MRI and K^trans, respectively (P<0.05). ConclusionsBased on PI-RADS V2.1 mp-MRI, bp-MRI and DCE-MRI quantitative values of K^trans and K_ep, the differential diagnostic efficacy of peripheral PCa and CP is comparable, and the combination of the two quantitative parameters, or respectively with mp-MRI, can effectively improve the diagnostic efficacy and can provide more options for the diagnosis of patients with different clinical indications. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.022 ObjectiveTo investigate the clinical utility of delay alternating with nutation for tailored excitation (DANTE) and sampling perfection with application-optimized contrasts by using different flip angle evolutions (SPACE) in multi-sequence magnetic resonance vessel wall imaging (MR-VWI) for diagnosing lower extremity arterial disease (LEAD). Materials and MethodsThe case and imaging data from 57 LEAD patients and 26 without LEAD patients were retrospectively included. All patients underwent T2-weighted turbo spin echo (T2w-TSE), T1-weighted DANTE-SPACE, contrast-enhanced T1-weighted DANTE-SPACE, and contrast-enhanced magnetic resonance angiography (CE-MRA) MR-VWI scans on 3.0 T MRI equipment. Lumen area (LA), vessel wall area (VWA), and average vessel wall thickness (AVW) were measured by two radiologists in a double-blind procedure. The intra-class correlation coefficient (ICC) and Bland-Altman method were used to assess inter-observer agreement and agreement between different scanning techniques. Receiver operating characteristic (ROC) curves were used to evaluate accuracy. ResultsSignal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) values were significantly different between T1w DANTE-SPACE and 2D TSE imaging techniques (P<0.05). ICC values for morphological measurements ranged from 0.85 to 0.99 between two observers and from 0.90 to 0.99 for repeated measurements. Bland-Altman analysis showed good agreement between observers and measurements. The T1w DANTE-SPACE technique was applied to the morphological measurement index ROC of different vascular segments in the LEAD group, resulting in area under the curve (AUC) values of 0.904 [95% confidence interval (CI): 0.825-0.983] and 0.905 (95% CI: 0.835-0.976), respectively. When the vessel wall thickness of the popliteal artery segment was 1.00 mm and the lumen area (LA) was 10.88 mm, serving as the critical values, the sensitivity for LEAD was 79.2% and 85.4%, the specificity was 96.2% and 92.3%, the positive predictive value was 97.4% and 95.3%, and the negative predictive value was 71.4% and 77.4%, respectively. ConclusionsMulti-sequence MR-VWI demonstrates good repeatability and high accuracy in evaluating morphological indicators of LEAD plaques, supporting its application in MRI examinations of LEAD. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.023 Materials and MethodsProspective recruitment included 99 participants (34 males, 65 females) who underwent knee joint X-ray and MRI on the same day. Participants were categorized into three groups based on knee joint X-ray Kellgren-Lawrence grading (KLG): no KOA group (KLG 0-1), mild KOA group (KLG 2), and severe KOA group (KLG 3-4). The FF and T2 values of the IPFP were measured using 3.0 T MR iteraterative decomposition of water and fat with echo asymmetry and least-squares estimation quantitation (IDEAL-IQ) and T2 mapping techniques, and employed Pearson or Spearman correlation analysis to examine the relationship between FF values, T2 values, and the severity of KOA. The diagnostic performance of FF and T2 values for KOA was evaluated using receiver operating characteristic (ROC) curves. ResultsAs the severity of KOA progressed, the FF of the IPFP decreased correspondingly, and the T2 values increased. There were significant differences in FF and T2 values among the no KOA, severe KOA, and mild KOA groups, with FF values of 73.13%±3.98%, 67.42%±2.25%, and 61.92%±3.24%, and T2 values of 81.04 (79.61, 82.44) ms, 82.72 (81.44, 84.46) ms, and 86.79 (85.32, 89.12) ms, respectively (all P<0.001). The FF values were negatively correlated with KLG (r=-0.779), while the T2 values were positively correlated with KLG (r=0.688). The area under the curve (AUC) for diagnosing the presence of KOA using FF and T2 values was 0.937 and 0.837, with sensitivities of 71.8% and 70.0%, and specificities of 91.7% and 82.1%, respectively. ConclusionsChanges in FF and T2 values of the IPFP can to some extent reflect the pathophysiological changes of the IPFP and are related to the severity of KOA, providing new methods for the evaluation of KOA. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.024 ObjectiveTo design a computational method of cortical surface radiomics, to provide rich and reliable local features of brain regions for brain imaging research. Materials and MethodsBased on the T1WI magnetic resonance data sets of 21 groups of repeated measurements of healthy subjects and 222 attention deficit hyperactivity disorder (ADHD)-related subjects, four surface morphological indices including cortical thickness, gray matter volume, mean curvature and cortical surface area were extracted. Using the Desikan-Killiany (DK) brain atlas and spherical local projection, the brain area is flattened from the three-dimensional cortical surface to two-dimensional. Pyradiomics was used to extract 968 two-dimensional radiomics features for each of the four morphological indices. Combining repeated measurement data set and intra-class correlation coefficients (ICC), the ICC value was used as the standard for evaluating radiomics features to comprehensively evaluate the differences in test-retest reliability among different morphological indices, different radiomics feature types and different brain regions. And based on the ADHD dataset, we predict the patient^,s attention deficit index and hyperactivity index. ResultsFor different morphological indicators, the radiomics features of gray matter volume and cortical surface area have better reproducibility, and are significantly different from the cortical thickness and average curvature groups (P<0.05). For different types of radiomics features, the first-order features and gray-level co-occurrence matrix features based on cortical thickness showed significant differences from other types of features (P<0.05). For different brain regions, the features extracted from the left and right entorhinal cortex, the left and right temporal poles, and the right frontal pole have lower retest retestability than other regions (P<0.05). However, in general, the brain radiomics features extracted by the surface reconstruction method proposed in this study have high reproducibility (mean ICC>0.76). In the prediction tasks of the two symptom indicators of attention deficit hyperactivity disorder (ADHD), it was found that the left hippocampal gyrus, superior frontal gyrus and superior temporal gyrus were significantly correlated with ADHD symptoms (|r|=0.33-0.52, P<0.05). ConclusionsIt is feasible to construct brain radiomics features based on DK brain atlas and surface morphology index. The extracted new features have good repeatability and have certain clinical value in attention prediction and other studies. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.026 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.027 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.028 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.029 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.030 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.031 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.032 ^, response to NAC varies significantly, leading to diverse treatment outcomes. Therefore, early and accurate assessment of NAC efficacy is crucial for formulating subsequent treatment plans and predicting prognosis for TNBC patients. Magnetic resonance imaging (MRI) is widely utilized for monitoring the effectiveness of tumor treatment due to its high resolution for soft tissue and quantitative imaging technology, enabling accurate depiction of changes in tumor parenchyma and its microenvironment. MRI-based radiomics can deeply explore the imaging characteristics of TNBC before and after NAC, providing more comprehensive tumor information for evaluating NAC efficacy. In recent years, researchers both domestically and internationally have conducted extensive studies on the evaluation of NAC efficacy in TNBC using radiomics. This article aims to review the clinical applications and research advancements of MRI in assessing the efficacy of NAC in TNBC patients, with the goal of providing insights for developing precise and personalized treatment approaches for these patients. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.033 ^,s highest incidence and mortality of female malignant tumors. Providing accurate and efficient diagnosis, risk stratification and timely adjustment of treatment strategies is an important step in achieving precision medicine for breast cancer. Radiomics is a new and high-throughput image quantitative analysis method, which aims to extract mineable high-dimensional data from clinical medical images. Currently, various studies from different fields of imaging medicine have shown the potential of radiomics in improving clinical decision-making of breast cancer. This paper will introduce the application of MRI radiomics in breast cancer differentiation, molecular subtyping prediction, efficacy evaluation of neoadjuvant chemotherapy, status of axillary lymph nodes, Ki-67 expression, prognosis assessment and recurrence risk, and discuss the limitations and challenges of current radiomics, in order to provide new ideas for optimizing treatment decisions and promoting the development of precision medicine for breast cancer. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.034 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.035 ^, response to nCRT than conventional MRI by reflecting changes in the structure and function of the tumor microenvironment at the cellular level. In this paper, we review the research progress on the quantitative evaluation of pCR after nCRT by diffusion-weighted imaging (DWI) and its derived sequences and perfusion imaging in patients with LARC, compare the advantages and disadvantages of DWI, intravoxel incoherent motion (IVIM), stretched exponential model (SEM), diffusion kurtosis imaging (DKI), dynamic contrast-enhanced MRI (DCE-MRI), and artificial intelligence-based prediction models in the current research, and provide clues and ideas for future research directions, aiming to provide relative reliable quantitative indicators for accurately identifying patients with LARC who achieve pCR. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.036 Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.037 ^,s overall well-being. This review endeavors to encapsulate the advancements in radiomics research pertaining to ovarian cancer^,s preoperative prediction, assessment of chemotherapy response, platinum chemoresistance, and prognosis prediction. Its objective is to empower clinicians with the knowledge to leverage radiomics technology in more precisely forecasting disease progression and treatment outcomes, ultimately leading to the formulation of personalized treatment plans that optimize patient quality of life. Future research aims to delve deeper into the fusion of multi-omics data, combining radiomics with genomics and proteomics, and this review hopes to serve as a valuable resource and inspiration for researchers in their endeavors. ]]> Sat,20 Jul 2024 00:00:00 GMT http://www.med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2024.07.038 Sat,20 Jul 2024 00:00:00 GMT