Magnetic resonance imaging最新文献

{"title":"Whole-body magnetic resonance imaging in myxoid liposarcoma: Toward a new standard?","authors":"Tania Moussa ,&nbsp;Tarek Assi ,&nbsp;Samy Ammari ,&nbsp;Ines Kasraoui ,&nbsp;Axel Le Cesne ,&nbsp;Corinne Balleyguier","doi":"10.1016/j.mri.2025.110422","DOIUrl":"10.1016/j.mri.2025.110422","url":null,"abstract":"<div><div>Myxoid/Round cell liposarcoma (MLPS) is the second most common subtype of liposarcoma (LPS), accounting for approximately 5 % of all soft tissue sarcomas (STS). Unlike other LPS subtypes, MLPS is characterized by a distinct pattern of metastasis, often involving bones and soft tissues rather than the lungs. Skeletal metastasis occurs in a significant proportion of MLPS patients, particularly those with high-grade tumors, making early detection critical for optimal management. While MLPS tumors are known to be highly radiosensitive and chemosensitive, current screening strategies for bone metastases remain suboptimal. Recent advancements in imaging, particularly Whole-body magnetic resonance imaging (WBMRI), offer promising potential for enhancing the detection of both bone and soft tissue metastases in MLPS patients. This article explores the clinical utility of WBMRI in MLPS, reviewing its ability to detect metastatic lesions, discussing various imaging protocols, and highlighting supporting data from recent studies. The paper emphasizes the role of WBMRI in improving disease staging, thereby guiding more personalized therapeutic strategies for MLPS patients.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110422"},"PeriodicalIF":2.1,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can arginine, glutamate and glutamine serve as surrogates of intestinal mucosal healing in the patients with celiac disease following gluten-free diet? An NMR based metabolomics study","authors":"Deepti Upadhyay ,&nbsp;Prasenjit Das ,&nbsp;Siddhartha Dattagupta ,&nbsp;Govind K. Makharia ,&nbsp;Naranamangalam R. Jagannathan ,&nbsp;Uma Sharma","doi":"10.1016/j.mri.2025.110421","DOIUrl":"10.1016/j.mri.2025.110421","url":null,"abstract":"<div><div>Celiac disease (CeD) is a chronic small intestinal autoimmune disease initiated by dietary gluten in genetically predisposed individuals. Till date, the only effective treatment for CeD is the gluten-free diet (GFD). However, not all patients achieve full histological recovery despite GFD. Thus, it is crucial to assess the treatment response and improvement in the villous architecture following GFD. Therefore, present study investigated the potential of NMR-based metabolomics for identifying non-invasive biomarkers for assessing treatment response. Comprehensive metabolic profiling of 120 biological samples comprising of small intestinal mucosal biopsies, blood plasmas and urines collected at two time points (before and after 6–8 months of GFD) from CeD patients (<em>n</em> = 20) was carried out using proton NMR spectroscopy. The levels of arginine glutamate, and glutamine were significantly reduced in both intestinal mucosa and blood plasma of CeD patients after GFD compared to their baseline values. These amino acids play an important role in intestinal energy metabolism, and alleviating inflammation, thereby contributing to healing mechanisms of small intestinal mucosa, following GFD. A logistic regression statistical model based on the combination of the above three blood plasma metabolites demonstrated AUC of 0.980, Youden index 0.900 with a sensitivity and a specificity of 90 % and 100 % for monitoring treatment response in CeD patients after GFD. The study revealed a panel of non-invasive plasma biomarkers (arginine, glutamate and glutamine) which may serve as surrogates of mucosal healing and treatment response in CeD patients, however, the findings need to be validated in a large cohort of patients.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110421"},"PeriodicalIF":2.1,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo","authors":"Peipei Zhang ,&nbsp;Zhaoyan Feng ,&nbsp;Shu Chen ,&nbsp;Jie Zhu ,&nbsp;Chanyuan Fan ,&nbsp;Liming Xia ,&nbsp;Xiangde Min","doi":"10.1016/j.mri.2025.110418","DOIUrl":"10.1016/j.mri.2025.110418","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aims to evaluate the feasibility and effectiveness of deep learning-based super-resolution techniques to reduce scan time while preserving image quality in high-resolution prostate diffusion-weighted imaging (DWI) with readout-segmented echo-planar imaging (rs-EPI).</div></div><div><h3>Methods</h3><div>We retrospectively and prospectively analyzed prostate rs-EPI DWI data, employing deep learning super-resolution models, particularly the Multi-Scale Self-Similarity Network (MSSNet), to reconstruct low-resolution images into high-resolution images. Performance metrics such as structural similarity index (SSIM), Peak signal-to-noise ratio (PSNR), and normalized root mean squared error (NRMSE) were used to compare reconstructed images against the high-resolution ground truth (HR_GT). Additionally, we evaluated the apparent diffusion coefficient (ADC) values and signal-to-noise ratio (SNR) across different models.</div></div><div><h3>Results</h3><div>The MSSNet model demonstrated superior performance in image reconstruction, achieving maximum SSIM values of 0.9798, and significant improvements in PSNR and NRMSE compared to other models. The deep learning approach reduced the rs-EPI DWI scan time by 54.4 % while maintaining image quality comparable to HR_GT. Pearson correlation analysis revealed a strong correlation between ADC values from deep learning-reconstructed images and the ground truth, with differences remaining within 5 %. Furthermore, all models showed significant SNR enhancement, with MSSNet performing best across most cases.</div></div><div><h3>Conclusions</h3><div>Deep learning-based super-resolution techniques, particularly MSSNet, effectively reduce scan time and enhance image quality in prostate rs-EPI DWI, making them promising tools for clinical applications.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110418"},"PeriodicalIF":2.1,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Less is more? Performance of loops without distributed capacitors for 7 T MRI applications.","authors":"G Costa, M M Paulides, S Güler, I Zivkovic","doi":"10.1016/j.mri.2025.110420","DOIUrl":"https://doi.org/10.1016/j.mri.2025.110420","url":null,"abstract":"<p><p>We present an exploration of loops without distributed capacitors (i.e. plain loops) for their suitability as RF coils in 7 T MRI applications. Herein, we report on the differences between a circular -i.e. round- plain loop, an elliptic -i.e. elongated- plain loop, a conventional loop - i.e. a loop with distributed capacitors - and a dipole. This comparison highlights the benefits and limitations of plain loops, providing insights into their viability as an alternative to more complex coil designs for the construction of RF coil arrays at 7 T. We characterized the coils in terms of surface current distribution, robustness to loading, transmit efficiency, maxSAR_10g, coupling, and \"flexibility\" - defined as the ability of a coil to stay tuned (S₁₁≤-10dB) after mechanical deformation at a constant distance from the load. Additionally, we discussed the best practice to fabricate plain loops. A 12 cm round plain loop was more sensitive to the coil load distance than a conventional loop, but it was flexible and can be operated at a roughly constant distance from different patients. The antenna showed similar transmit properties to a 12 cm round conventional loop but with lower coupling (~44 % less) when the loops were gapped or overlapped less than 20 %. A 62 mmx280mm elongated plain loop was more robust than a dipole to the coil-load distance, providing similar transmit efficiency for imaging of the prostate, with lower worst case maxSAR_10g (~25 % less), but higher coupling (S₂₁ ~ -15 dB). This paper provides the groundwork for further optimizing plain loops in UHF-MRI coil arrays.</p>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":" ","pages":"110420"},"PeriodicalIF":2.1,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on predicting breast cancer Ki-67 expression using a combination of radiomics and deep learning based on multiparametric MRI","authors":"Wenjiang Wang ,&nbsp;Zimeng Wang ,&nbsp;Lei Wang ,&nbsp;Jiaojiao Li ,&nbsp;Zhiying Pang ,&nbsp;Yingwu Qu ,&nbsp;Shujun Cui","doi":"10.1016/j.mri.2025.110401","DOIUrl":"10.1016/j.mri.2025.110401","url":null,"abstract":"<div><h3>Purpose</h3><div>To develop a multiparametric breast MRI radiomics and deep learning-based multimodal model for predicting preoperative Ki-67 expression status in breast cancer, with the potential to advance individualized treatment and precision medicine for breast cancer patients.</div></div><div><h3>Methods</h3><div>We included 176 invasive breast cancer patients who underwent breast MRI and had Ki-67 results. The dataset was randomly split into training (70 %) and test (30 %) sets. Features from T1-weighted imaging (T1WI), diffusion-weighted imaging (DWI), T2-weighted imaging (T2WI), and dynamic contrast-enhanced MRI (DCE-MRI) were fused. Separate models were created for each sequence: T1, DWI, T2, and DCE. A multiparametric MRI (mp-MRI) model was then developed by combining features from all sequences. Models were trained using five-fold cross-validation and evaluated on the test set with receiver operating characteristic (ROC) curve area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score. Delong's test compared the mp-MRI model with the other models, with <em>P</em> &lt; 0.05 indicating statistical significance.</div></div><div><h3>Results</h3><div>All five models demonstrated good performance, with AUCs of 0.83 for the T1 model, 0.85 for the DWI model, 0.90 for the T2 model, 0.92 for the DCE model, and 0.96 for the mp-MRI model. Delong's test indicated statistically significant differences between the mp-MRI model and the other four models, with <em>P</em> values &lt; 0.05.</div></div><div><h3>Conclusions</h3><div>The multiparametric breast MRI radiomics and deep learning-based multimodal model performs well in predicting preoperative Ki-67 expression status in breast cancer.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110401"},"PeriodicalIF":2.1,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Appropriate strength of acceleration selective-motion sensitized gradient for non-triggered, non-contrast enhanced magnetic resonance angiography of the lower extremities.","authors":"Natsuo Konta, Norio Hayashi, Shuhei Shibukawa, Tomohiko Horie, Tetsu Niwa, Makoto Obara, Yui Kawamura, Toshiaki Miyati","doi":"10.1016/j.mri.2025.110416","DOIUrl":"https://doi.org/10.1016/j.mri.2025.110416","url":null,"abstract":"<p><p>Non-contrast enhanced magnetic resonance angiography (MRA) is useful for diagnosing peripheral arterial disease, especially in patients with renal insufficiency. Recently, non-triggered, non-contrast enhanced MRA using acceleration selective-motion sensitized gradient (AS-MSG), known as enhanced acceleration-selective arterial spin labeling (eAccASL), has been introduced. We aimed to investigate the appropriate strength of the AS-MSG for this technique in the lower extremities. Non-triggered eAccASL with four acceleration encodings (AENCs; 0.17, 0.29, 0.58, and 0.87 m/s²) was compared with electrocardiography (ECG)-triggered eAccASL (AENC: 0.87 m/s²). In the flow phantom, signal intensities (SIs) were calculated. A higher SI was observed with a smaller AENC on non-triggered eAccASL. In eight volunteers, vessel-background contrasts (VBCs) were calculated, and arterial visibility and venous artifacts were assessed by two radiologists. A higher VBC was observed with a smaller AENC on non-triggered eAccASL. The VBCs of non-triggered eAccASL 0.87 were lower than those of ECG-triggered eAccASL 0.87 in the peroneal, and anterior and posterior tibial arteries (all p < 0.05). Subjective scores for arterial visibility did not differ, with median scores within acceptable levels. The venous artifacts score of non-triggered eAccASL 0.17 was lower than those of non-triggered eAccASL 0.29, 0.58, and 0.87 and ECG-triggered eAccASL 0.87 (p < 0.01, p < 0.05, p < 0.001, and p < 0.01, respectively). In two clinical patients, arterial visibility on non-triggered eAccASL 0.29 was comparable or superior to that on ECG-triggered eAccASL 0.87. An AENC of 0.29-0.58 m/s² was considered appropriate for non-triggered, non-contrast enhanced lower-extremity MRA using eAccASL.</p>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":" ","pages":"110416"},"PeriodicalIF":2.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI","authors":"Dominique A. Barnes ,&nbsp;Crystal J. Murray ,&nbsp;Janine Molino ,&nbsp;Jillian E. Beveridge ,&nbsp;Ata M. Kiapour ,&nbsp;Martha M. Murray ,&nbsp;Braden C. Fleming","doi":"10.1016/j.mri.2025.110417","DOIUrl":"10.1016/j.mri.2025.110417","url":null,"abstract":"<div><div>Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-tearing an anterior cruciate ligament (ACL) using a combination of imaging signal intensity (SI) and cross-sectional area measurements of the healing ACL. During surgery micro-debris can result from drilling the osseous tunnels for graft and/or suture insertion. The debris presents a limitation when using post-surgical MRI to assess reinjury risk as it causes rapid magnetic field variations during acquisition, leading to signal loss within a voxel. The present study demonstrates how K-means clustering can refine an automatic segmentation algorithm to remove the lost signal intensity values induced by the artifacts in the image. MRI data were obtained from 82 patients enrolled in three prospective clinical trials of ACL surgery. Constructive Interference in Steady State MRIs were collected at 6 months post-operation. Manual segmentation of the ACL with metallic artifacts removed served as the gold standard. The accuracy of the automatic ACL segmentations was compared using Dice coefficient, sensitivity, and precision. The performance of the automatic segmentation was comparable to manual segmentation (Dice coefficient = .81, precision = .81, sensitivity = .82). The normalized average signal intensity was calculated as 1.06 (±0.25) for the automatic and 1.04 (±0.23) for the manual segmentation, yielding a difference of 2%. These metrics emphasize the automatic segmentation model’s ability to precisely capture ACL signal intensity while excluding artifact regions. The automatic artifact segmentation model described here could enhance qMRI’s clinical utility by allowing for more accurate and time-efficient segmentations of the ACL.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110417"},"PeriodicalIF":2.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An analysis of brain structural changes in type 2 diabetes using advanced MRI techniques","authors":"Subia Mahmood ,&nbsp;Winniecia Dkhar ,&nbsp;Rajagopal Kadavigere ,&nbsp;Suresh Sukumar ,&nbsp;Kaushik Nayak ,&nbsp;Abhimanyu Pradhan ,&nbsp;Sneha Ravichandran ,&nbsp;Neil Abraham Barnes ,&nbsp;Dilip Shettigar","doi":"10.1016/j.mri.2025.110419","DOIUrl":"10.1016/j.mri.2025.110419","url":null,"abstract":"<div><h3>Background</h3><div>T2DM is associated with neurodegenerative changes that can be detected through advanced magnetic resonance imaging. Brain atrophy in T2DM is linked to cognitive decline, yet the extent and pattern of structural brain changes remain underexplored. This study aims to assess volumetric differences in brain structures between diabetic and non-diabetic individuals using voxel-based morphometry (VBM).</div></div><div><h3>Methods</h3><div>A prospective observational study was conducted with 86 participants (43 T2DM case and 43 healthy controls) who underwent high-resolution 3D MRI scans using 3D SPGR and T1-weighted Fast Spin Echo sequences. Image preprocessing and volumetric analysis were performed using Statistical Parametric Mapping (SPM-12) and the Computational Anatomy Toolbox (CAT-12). Brain volumes were analyzed for 24 regions. Statistical analyses were conducted using independent <em>t</em>-tests and linear regression, with <em>p</em> &lt; 0.05 considered significant<strong>.</strong></div></div><div><h3>Results</h3><div>T2DM subjects exhibited significant gray matter (GM) volume reductions compared to controls, particularly in the hippocampus and middle frontal gyrus, as detected in both 3DSPGR and T1 FSE sequences. However, regional differences emerged between imaging modalities: while T1 FSE imaging revealed significant bilateral hippocampal atrophy, 3DSPGR data showed no such difference. Notably, both sequences demonstrated significantly increased volumes in the anterior and posterior temporal lobes in T2DM participants, suggesting possible region-specific hypertrophy.</div></div><div><h3>Conclusion</h3><div>T2DM is associated with significant brain atrophy, particularly in brain regions associated with cognition. Based on these findings, MRI-based volumetric analysis has the potential to detect and monitor T2DM-related neurodegeneration early, emphasizing the need for routine neuroimaging in diabetic populations. Research on longitudinal assessments will be necessary in the future to gain a deeper understanding of the progression of brain atrophy in diabetics.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110419"},"PeriodicalIF":2.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A unified circular-polarization metamaterial-inspired resonator for increasing SNR in breast MRI","authors":"Yuqi Jia ,&nbsp;Yanwei Pang ,&nbsp;Ruiqi Jin ,&nbsp;Yu Liu ,&nbsp;Xiangzheng Kong ,&nbsp;Kun Shao ,&nbsp;Xia Xiao ,&nbsp;Qun Ren ,&nbsp;Pengfei Zhao ,&nbsp;Zhenchang Wang","doi":"10.1016/j.mri.2025.110403","DOIUrl":"10.1016/j.mri.2025.110403","url":null,"abstract":"<div><div>Magnetic Resonance Imaging (MRI) is crucial for population breast cancer screening. Since almost all MRI machines are equipped with transmit-receive body coils, this configuration of equipment makes MRI readily accessible to breast cancer screening. However, the signal-to-noise ratio (SNR) of breast images is limited by the low sensitivity of the body coil reception and high noise from surrounding tissues. To increase the SNR, we propose a unified circular-polarization metamaterial-inspired resonator (CPMR) for breast MRI at 1.5 T. Most MRI systems utilize birdcage coils as body coils, which produce circularly polarized magnetic fields, but the state-of-the-art resonators can only achieve magnetic field enhancement for linearly polarized fields, or enhance the two linearly polarized components of a circularly polarized magnetic field by using two separate resonators. The proposed CPMR can simultaneously enhance the two orthogonal linearly polarized components of a circularly polarized magnetic field, which will be accomplished by a single integrated resonator. The unified metamaterial-inspired resonator is easier to manufacture and position in an MRI system. The phantom imaging results indicate that, compared with using only the birdcage coil, when performing unilateral and bilateral imaging, the use of CPMR increases the SNR in the region of interest (ROI) by at least 18.4 times and 10.6 times respectively. Compared with using a dedicated breast coil, the SNR in the ROI is increased by at least 48 %.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110403"},"PeriodicalIF":2.1,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of fetal growth restriction on the development of regional brain volume and neurodevelopmental outcomes: Evidence from magnetic resonance imaging based on a fully automated segmentation method","authors":"Lingnan Kong ,&nbsp;Shijie Huang ,&nbsp;Jin Zhang ,&nbsp;Liangyu Ji ,&nbsp;Shaofeng Duan ,&nbsp;Xiaoquan Xu ,&nbsp;Shui Tian ,&nbsp;Feng Shi ,&nbsp;Feiyun Wu ,&nbsp;Dinggang Shen ,&nbsp;Xuan Zhang ,&nbsp;Meng Zhao","doi":"10.1016/j.mri.2025.110407","DOIUrl":"10.1016/j.mri.2025.110407","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the impact of fetal growth restriction (FGR) on brain volume development and to identify imaging indicators predictive of poor neurodevelopmental outcomes.</div></div><div><h3>Methods</h3><div>The MRI images of fetuses with FGR diagnosed by ultrasound at 27–38 weeks and matched normal fetuses were collected. The isotropic high-resolution images were reconstructed and processed to extract 17 brain regions. Subsequently, volume and the ratio to total brain volume of each brain region was calculated. Using logistic regression analysis to identify the independent risk factors of the neurodevelopmental outcomes.</div></div><div><h3>Results</h3><div>The study included 51 FGR fetuses and 78 healthy controls (HCs). Significant differences were discovered in the cingulate gyrus, brainstem, corpus callosum, basal ganglia, insula, frontal lobe, temporal lobe, parietal lobe and cerebrospinal fluid of their ratio to the total brain volume between the two groups (<em>P</em>&lt;0.05). The prognostic group consisted of 28 fetuses with good fetal neurodevelopment and 15 fetuses with poor neurodevelopment. The ratio of brainstem was identified as independent predictors for poor neurodevelopmental outcome (OR: 2.069; 95 % CI: 1.061 to 4.035).</div></div><div><h3>Conclusion</h3><div>Brain development was not uniformly restricted in FGR fetuses. Additionally, the ratio of brainstem to total brain volume may be associated with poor neurodevelopment.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"121 ","pages":"Article 110407"},"PeriodicalIF":2.1,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}