Magnetic resonance imaging最新文献

{"title":"Magnetic resonance imaging in lymphedema: Opportunities, challenges, and future perspectives","authors":"Xiaolu Ren ,&nbsp;Ling Li","doi":"10.1016/j.mri.2025.110461","DOIUrl":"10.1016/j.mri.2025.110461","url":null,"abstract":"<div><div>Magnetic resonance imaging (MRI) has become a pivotal non-invasive tool in the evaluation and management of lymphedema. This review systematically summarizes its current applications, highlighting imaging techniques, comparative advantages over other modalities, MRI-based staging systems, and emerging clinical roles. A comprehensive literature review was conducted, covering comparisons with lymphoscintigraphy, ultrasound, and computed tomography (CT), as well as studies on the feasibility of multiparametric MRI sequences. Compared to conventional imaging, MRI offers superior soft tissue contrast and enables detailed assessment of lymphatic anatomy, tissue composition, and fluid distribution through sequences such as T2-weighted imaging, diffusion-weighted imaging (DWI), and magnetic resonance lymphangiography (MRL). Standardized grading systems have been proposed to support clinical staging. MRI is increasingly applied in preoperative planning and postoperative surveillance.These findings underscore MRI's diagnostic precision and clinical utility. Future research should focus on protocol standardization, incorporation of quantitative biomarkers, and development of AI-driven tools to enable personalized, scalable lymphedema care.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"123 ","pages":"Article 110461"},"PeriodicalIF":2.1,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144682743","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":"Rapid renal MR fingerprinting for characterizing chronic kidney disease: A feasibility study","authors":"Shuai Shan ,&nbsp;Li Qian ,&nbsp;Nan-Nan Zhang ,&nbsp;Xiang Tao ,&nbsp;Xian-Ce Zhao ,&nbsp;Rui Zhi ,&nbsp;Mariya Doneva ,&nbsp;Bo Liang ,&nbsp;Yang-Gang Yuan ,&nbsp;Yu-Dong Zhang","doi":"10.1016/j.mri.2025.110459","DOIUrl":"10.1016/j.mri.2025.110459","url":null,"abstract":"<div><h3>Purpose</h3><div>The aim of this prospective study was to investigate the feasibility of rapid renal MRF-based quantitative mapping for noninvasive assessment of renal functional and microstructural characteristics in patients with chronic kidney disease (CKD).</div></div><div><h3>Methods</h3><div>Participants with CKD who consented to renal MRF examination were prospectively enrolled from June 2023 to January 2024. T1 and T2 values of the renal cortex and medulla in both kidneys were derived from manually delineated ROIs and compared across CKD groups. Spearman correlation coefficients, following normality testing, were used to examine associations between MRF-derived metrics and serum creatinine (Scr) and measured glomerular filtration rate (mGFR). For participants who underwent renal biopsy, two-way ANOVA was used to compare MRF-derived metrics of biopsied kidney with histopathologic findings.</div></div><div><h3>Results</h3><div>Fifty-two participants (median age, 49 years [IQR, 39–59 years]) were included, of whom 42 underwent renal biopsy. Higher CKD stages were associated with increased cortical T1 values (<em>P</em> &lt; .001 for the left kidney, <em>P</em> &lt; .0001 for the right kidney, at one-way ANOVA) and higher medullary T2 values (<em>P</em> &lt; .001 for the left kidney, <em>P</em> &lt; .01 for the right kidney, at one-way ANOVA). Scr and mGFR were well correlated with cortical-medullary T1 difference (△T1) of the left kidney (<em>r</em> = −0.543, <em>P</em> = .0004; <em>r</em> = 0.657, <em>P</em> &lt; .0001, respectively). Renal MRF-derived cortical T1, △T1, and whole-kidney T1 showed difference between the low-grade and high-grade renal fibrosis groups (15 % and 20 % fibrosis thresholds, <em>P</em> = .040; 15 % and 30 % fibrosis thresholds, <em>P</em> = .046; and 20 % fibrosis threshold, <em>P</em> = .0264, at two-way ANOVA).</div></div><div><h3>Conclusion</h3><div>MR Fingerprinting quantitation correlated well with the renal functional and pathological findings, and demonstrated promise for characterizing CKD status.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110459"},"PeriodicalIF":2.1,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144659582","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":"Deep-learning reconstruction for noise reduction in respiratory-triggered single-shot phase sensitive inversion recovery myocardial delayed enhancement cardiac magnetic resonance","authors":"Maxine Tang ,&nbsp;Haonan Wang ,&nbsp;Shuo Wang ,&nbsp;Eisha Wali ,&nbsp;Joseph Gutbrod ,&nbsp;Amita Singh ,&nbsp;Luis Landeras ,&nbsp;Martin A. Janich ,&nbsp;Victor Mor-Avi ,&nbsp;Amit R. Patel ,&nbsp;Hena Patel","doi":"10.1016/j.mri.2025.110460","DOIUrl":"10.1016/j.mri.2025.110460","url":null,"abstract":"<div><h3>Background</h3><div>Phase-sensitive inversion recovery late gadolinium enhancement (LGE) improves tissue contrast, however it is challenging to combine with a free-breathing acquisition. Deep-learning (DL) algorithms have growing applications in cardiac magnetic resonance imaging (CMR) to improve image quality. We compared a novel combination of a free-breathing single-shot phase-sensitive LGE with respiratory triggering (FB-PS) sequence with DL noise reduction reconstruction algorithm to a conventional segmented phase-sensitive LGE acquired during breath holding (BH-PS).</div></div><div><h3>Methods</h3><div>61 adult subjects (29 male, age 51 ± 15) underwent clinical CMR (1.5 T) with the FB-PS sequence and the conventional BH-PS sequence. DL noise reduction was incorporated into the image reconstruction pipeline. Qualitative metrics included image quality, artifact severity, diagnostic confidence. Quantitative metrics included septal-blood border sharpness, LGE sharpness, blood-myocardium apparent contrast-to-noise ratio (CNR), LGE-myocardium CNR, LGE apparent signal-to-noise ratio (SNR), and LGE burden. The sequences were compared via paired <em>t</em>-tests.</div></div><div><h3>Results</h3><div>27 subjects had positive LGE. Average time to acquire a slice for FB-PS was 4–12 s versus ∼32–38 s for BH-PS (including breath instructions and break time in between breath hold). FB-PS with medium DL noise reduction had better image quality (FB-PS 3.0 ± 0.7 vs. BH-PS 1.5 ± 0.6, <em>p</em> &lt; 0.0001), less artifact (4.8 ± 0.5 vs. 3.4 ± 1.1, p &lt; 0.0001), and higher diagnostic confidence (4.0 ± 0.6 vs. 2.6 ± 0.8, p &lt; 0.0001). Septum sharpness in FB-PS with DL reconstruction versus BH-PS was not significantly different. There was no significant difference in LGE sharpness or LGE burden. FB-PS had superior blood-myocardium CNR (17.2 ± 6.9 vs. 16.4 ± 6.0, <em>p</em> = 0.040), LGE-myocardium CNR (12.1 ± 7.2 vs. 10.4 ± 6.6, <em>p</em> = 0.054), and LGE SNR (59.8 ± 26.8 vs. 31.2 ± 24.1, <em>p</em> &lt; 0.001); these metrics further improved with DL noise reduction.</div></div><div><h3>Conclusion</h3><div>A FB-PS sequence shortens scan time by over 5-fold and reduces motion artifact. Combined with a DL noise reduction algorithm, FB-PS provides better or similar image quality compared to BH-PS. This is a promising solution for patients who cannot hold their breath.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110460"},"PeriodicalIF":2.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649862","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":"Abnormal spontaneous brain activity of white matter in patients with cerebral small vessel disease","authors":"Jurong Ding ,&nbsp;Lihong Li ,&nbsp;Mei Yang ,&nbsp;Mengjie Yu ,&nbsp;Xin Ding","doi":"10.1016/j.mri.2025.110458","DOIUrl":"10.1016/j.mri.2025.110458","url":null,"abstract":"<div><div>Cerebral small vessel disease (CSVD) is a nervous system disease caused by small vessel lesions in the brain. The abnormal changes in white matter (WM) function in patients with CSVD remained unclear. Therefore, the purpose of this research was to study the abnormal function of WM in patients with CSVD by measuring the amplitude of low-frequency fluctuations (ALFF). Twenty-three patients with CSVD and 22 healthy controls (HCs), age- and sex-matched, were included. Based on the resting-state functional magnetic resonance imaging (rs-fMRI) data, the ALFF method was used to investigate alterations in spontaneous brain activity in WM between the two groups. The altered ALFF values were extracted to serve as classification features, and the linear support vector machine (SVM) was adopted to identify patients with CSVD. patients with CSVD displayed decreased ALFF values in the body of corpus callosum (BCC) and genu of corpus callosum (GCC) and increased ALFF values in the splenium of corpus callosum (SCC), right posterior corona radiata (PCR.R) and left cingulate gyrus (CGG.L) than HCs. The SVM model achieved an accuracy of 82.22 % and the area under the curve (AUC) was 0.88. This study revealed altered ALFF values of WM in patients with CSVD, which provides evidence for cognitive and gait disorders, as well as brain compensatory mechanisms in patients with CSVD. Our findings suggest that spontaneous brain activity abnormalities in WM may be connected with the pathophysiological mechanism of CSVD, providing potential imaging biomarkers for CSVD diagnosis.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110458"},"PeriodicalIF":2.1,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614593","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":"MRASM: A multiscale residual attention spatiotemporal model for breast tumor prediction","authors":"Liangliang Zhang,&nbsp;Hang Zheng,&nbsp;Jiawei Liu,&nbsp;Zhenzhen Wang,&nbsp;Xin Zheng,&nbsp;Qingfeng Tang,&nbsp;Xianyang Wang,&nbsp;Hui Liu","doi":"10.1016/j.mri.2025.110457","DOIUrl":"10.1016/j.mri.2025.110457","url":null,"abstract":"<div><h3>Background</h3><div>Spatial features and temporal features derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are both useful for the prediction of tumor information. However, it remains unclear whether deep spatiotemporal features can improve the diagnostic performance of the model.</div></div><div><h3>Purpose</h3><div>To improve the prediction performance of benign and malignant breast tumors by efficiently integrating deep spatial and temporal features from DCE-MRI.</div></div><div><h3>Method</h3><div>A multiscale residual attention spatiotemporal model (MRASM) based on ResNet (2 + 1)D was proposed for the prediction of benign and malignant breast tumors. Compared to ResNet (2 + 1)D, the MRASM has three improvements, including multiscale, attention, and residual modules. Model performance was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) and accuracy. Statistical comparisons between the MRASM and traditional methods were performed using the DeLong test.</div></div><div><h3>Results</h3><div>The MRASM method obtained a higher AUC of 0.9962 and accuracy of 0.9660 compared to original ResNet (2 + 1)D method (AUC = 0.9182 and accuracy = 0.8340) and traditional 3D CNN methods (best AUC = 0.8752 and accuracy = 0.8128).</div></div><div><h3>Conclusion</h3><div>The proposed MRASM method is an efficient approach for the accurate prediction of benign and malignant breast tumors.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110457"},"PeriodicalIF":2.1,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588019","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":"Segmental evaluation of myocardial ischemia in stable coronary artery disease using native T1 mapping","authors":"Runlan Luo ,&nbsp;Qi'’an Sun ,&nbsp;Yi Zhao ,&nbsp;Aihua Li ,&nbsp;Hang Qu ,&nbsp;Xiaoping Yu ,&nbsp;Wei Wang","doi":"10.1016/j.mri.2025.110456","DOIUrl":"10.1016/j.mri.2025.110456","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the myocardial ischemic segments and related factors in stable coronary artery disease (SCAD) patients by native T1 mapping.</div></div><div><h3>Methods</h3><div>316 SCAD patients and 30 healthy controls (all right coronary dominant) underwent CMR native T1 mapping within 90 days of CCTA. Segmental native T1 values were measured using AHA 16-segment model. Patients were grouped by number of diseased coronary arteries (DCA [1–3]) with the largest diameter stenosis (DS [&lt; or ≥ 50 %]) and culprit coronary artery (CCA [LAD, LCX, RCA]), or number of coronary artery stenosis ≥50 % (CAS [0–3]), respectively. Ischemic segments were defined as native T1 values significantly elevated versus controls. Multivariable generalized estimating equations (GEE) model was used to identify independent factors.</div></div><div><h3>Results</h3><div>Single-vessel disease showed localized native T1 increases in corresponding perfusion territories, while multi-vessel disease exhibited complex ischemia patterns. Anterior and anteroseptal segments had significantly higher native T1 values in groups CAS 2 and 3 than CAS 0 and 1 (Bonferroni-adjusted <em>P</em> &lt; 0.05). GEE model identified DCA (two-vessel disease: β = 13.6 ms, <em>P</em> = 0.010), CAS (1–3: β = 10.5, 34.4 and 57.2 ms, <em>P</em> &lt; 0.05, respectively), and coronary artery calcium (CAC) score 3 and 4 (β = 12.2 and 14.5 ms, P &lt; 0.05), LAD-fractional flow reserves (LAD-FFR) (β = −47.3 ms, <em>P</em> = 0.010) and CCA (LCX: β = −9.5 ms, <em>P</em> = 0.019) as independent factors.</div></div><div><h3>Conclusion</h3><div>Native T1 mapping reveals spatially heterogenous ischemia in SCAD and is independently associated with both anatomical and functional parameters, supporting its value in personalized evaluation and management.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110456"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600854","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":"Spatially resolved diffusion pore imaging using k-space readout","authors":"Lucas Oswald ,&nbsp;Julian Rauch ,&nbsp;Frederik B. Laun ,&nbsp;Mark E. Ladd ,&nbsp;Tristan A. Kuder","doi":"10.1016/j.mri.2025.110455","DOIUrl":"10.1016/j.mri.2025.110455","url":null,"abstract":"<div><div>Nuclear magnetic resonance diffusion methods are powerful tools for investigating the underlying structure of materials or tissues. Diffusion pore imaging (DPI) provides access to information about the geometric shape of pores containing diffusible substances. This technique yields an averaged image of the pores present in the imaging volume and enables measurements at a scale much smaller than that of conventional MR imaging. For applications in non-homogeneous materials such as biological tissues or heterogeneous porous media, the integration of a second spatial encoding step is essential to distinguish pore shapes in different regions of the measurement volume. Here, we present a combination of two-dimensional <em>q</em>-space and two-dimensional <em>k</em>-space acquisition on a Bruker 9.4 T small animal scanner. A 2D pore space function is reconstructed in each image voxel obtained from <em>k</em>-space. The long-narrow sequence scheme necessary for DPI was extended with a conventional <em>k</em>-space imaging readout to fill both <em>k</em>- and <em>q</em>-space. A conventional spin-echo approach with a single refocusing pulse was employed. From two different regions of interest, the sizes of capillaries with inner diameters of 15 μm and 20 μm, respectively, present in a phantom could be estimated from one- and two-dimensional projections of the pore space function. Simulations using the multiple correlation function approach exhibit good agreement with the measured one-dimensional pore space functions. Existing residual phases in the measurement data were corrected using phase reference measurements in a structureless oil phantom. In summary, spatially resolved pore imaging allows for the reconstruction of pore shapes in specific regions of interest, reinforcing the potential of DPI to non-invasively explore cellular structure. This study demonstrates the ability to reveal the voxel-averaged shape of pore distributions within a single DPI measurement on a preclinical MR scanner.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110455"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600855","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":"Exploiting four-way phase-encoding benefits for robust detection and correction of EPI artifacts: Application to residual ghosts in -diffusion MRI","authors":"Anh Thai ,&nbsp;Lin Ching Chang ,&nbsp;Carlo Pierpaoli ,&nbsp;M. Okan Irfanoglu","doi":"10.1016/j.mri.2025.110454","DOIUrl":"10.1016/j.mri.2025.110454","url":null,"abstract":"<div><h3>Purpose</h3><div>To propose and develop an image processing-based methodology for detecting and correcting residual Nyquist ghost artifacts in echo planar imaging (EPI), specifically using non-diffusion-weighted (<span><math><mi>b</mi><mo>=</mo><mn>0</mn><mspace></mspace><mi>s</mi><mo>/</mo><mi>m</mi><msup><mi>m</mi><mn>2</mn></msup><mo>)</mo></math></span> images acquired with four distinct phase-encoding directions (PEDs) in diffusion MRI.</div></div><div><h3>Approach</h3><div>Previous studies have demonstrated that acquiring images with four different PEDs can improve the reproducibility of diffusion derived quantitative maps. This improvement is achieved by averaging across PEDs to reduce the impact of residual EPI Nyquist ghost artifacts. These residual artifacts originate from imperfect ghost correction applied during image reconstruction and often persist into the preprocessing pipeline, potentially biasing downstream analyses. Building on these observations, the proposed method further improves this 4-way encoding approach by leveraging the properties of signal distributions to detect artifactual regions, specifically in non-diffusion weighted (<span><math><mi>b</mi><mo>=</mo><mn>0</mn><mspace></mspace><mi>s</mi><mo>/</mo><mi>m</mi><msup><mi>m</mi><mn>2</mn></msup></math></span>). While the corrections are applied only to the <span><math><mi>b</mi><mo>=</mo><mn>0</mn></math></span> images, its effectiveness is evaluated through downstream diffusion tensor estimation, by assessing the improvements in diffusion-derived metrics such as FA and MD. Additionally, the method can be tailored for specific artifact manifestations by considering their localization due to underlying acquisition parameters.</div></div><div><h3>Results</h3><div>Simulations with known ground-truth images demonstrated high artifact detection accuracy, achieving a Dice score of 0.91 for reconstructions without parallel imaging. In the in-vivo dataset, the method also improved longitudinal reproducibility, reducing variability by 30 % in ghost-affected regions.</div></div><div><h3>Conclusion</h3><div>The proposed correction method effectively detected and corrected residual ghost artifacts without the need of any additional k-space data, specifically in non-diffusion weighted images. This retrospective approach can be directly integrated into existing processing pipelines to further improve the quality of EPI images and enhancing image quality in studies that utilize 4-way PEDs acquisition.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110454"},"PeriodicalIF":2.1,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600936","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":"Evaluating placental microstructure and microcirculation in predicting the progression of gestational hypertension to preeclampsia: a systematic comparison between virtual MR elastography, IVIM, ultrasound and lab indexes","authors":"Jing Deng ,&nbsp;Jiacheng Song ,&nbsp;Aining Zhang ,&nbsp;Feifei Qu ,&nbsp;Yanglei Wu ,&nbsp;Ting Chen","doi":"10.1016/j.mri.2025.110453","DOIUrl":"10.1016/j.mri.2025.110453","url":null,"abstract":"<div><h3>Objective</h3><div>We aimed to utilize functional magnetic resonance imaging (fMRI), including placental virtual magnetic resonance elastography (vMRE), intravoxel incoherent motion (IVIM) parameters, MRI morphological parameters, ultrasound and laboratory indexes to predict the progression of GH to PE and differentiate patients with GH and controls.</div></div><div><h3>Methods</h3><div>Between January 2018 and March 2023, we retrospectively collected 382 pregnant women and ultimately included 68 subjects: 24 with PE, 14 with GH, and 30 healthy controls. The stiffness value (<em>μ</em>_diff) from vMRE, true diffusion coefficient, pseudo-diffusion coefficient, perfusion fraction (<em>f</em>) from IVIM-based analysis, and apparent diffusion coefficient were calculated. MRI morphological parameters were evaluated using T2-weighted imaging. Doppler parameters of the umbilical artery (UA) and middle cerebral artery, cerebroplacental ratio (CPR), and laboratory tests were retrospectively collected. ANOVA analysis compared parameters across three groups. Predictive performance was evaluated using receiver operating characteristic curve analysis and area under the curve (AUC).</div></div><div><h3>Results</h3><div>Doppler parameters (pulsatility index, resistance index, peak systolic velocity/end-diastolic velocity in UA, and CPR) and fMRI parameters (<em>μ</em>_diff and <em>f</em>) effectively predicted PE in patients with GH. The fMRI combined model exhibited superior predictive efficacy compared to the Doppler model (AUC, 0.845 vs. 0.792). Their combined model further improved predictive efficacy (AUC, 0.920). The prothrombin time level, <em>μ</em>_diff and <em>f</em> could identify patients with GH and controls, with no substantial differences in all Doppler parameters.</div></div><div><h3>Conclusions</h3><div>vMRE and IVIM parameters might be superior to ultrasound and laboratory indexs in predicting the progression of GH to PE and differentiating patients with GH and controls.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110453"},"PeriodicalIF":2.1,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591614","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":"Noise decorrelation coil combination optimizes SNR of edited 1H MRS data","authors":"Amy E. Bouchard,&nbsp;Mark Mikkelsen","doi":"10.1016/j.mri.2025.110452","DOIUrl":"10.1016/j.mri.2025.110452","url":null,"abstract":"<div><h3>Introduction</h3><div>Determining the optimal radiofrequency (RF) coil combination method for magnetic resonance spectroscopy (MRS) is crucial for maximizing the signal-to-noise ratio (SNR) and reliably detecting low-concentration metabolites, such as γ-aminobutyric acid (GABA). We compared the performances of several previously proposed algorithms using GABA-edited ¹H MRS data. Given that phased-array coils often exhibit noise correlations that reduce SNR, we hypothesized that noise decorrelation algorithms would be most effective.</div></div><div><h3>Methods</h3><div>We examined six coil combination methods, with the second half accounting for noise correlations: 1) equal weighting; 2) signal weighting; 3) S/N² weighting; 4) noise-decorrelated combination (nd-comb); 5) whitened singular value decomposition (WSVD); and 6) generalized least squares (GLS). Each method was applied to 119 GABA-edited MEGA-PRESS datasets acquired on 3 T GE and Siemens MRI scanners across 11 research sites. We estimated the SNR of GABA+ and <em>N</em>-acetylaspartate (NAA) and tested for statistical differences between the six approaches. We also calculated the intersubject coefficients of variation (CVs) of GABA+/creatine (Cr) ratios.</div></div><div><h3>Results</h3><div>There were significant differences in the SNR of GABA+ and NAA between the methods. Noise decorrelation methods produced higher SNR compared to the other approaches, with nd-comb, WSVD, and GLS yielding, on average, approximately 37 % more GABA+ and 34 % more NAA SNR than equal weighting. GLS yielded the highest SNR for both GABA+ and NAA. The CVs for GABA+/Cr were generally somewhat smaller when using noise decorrelation.</div></div><div><h3>Conclusion</h3><div>As predicted, noise decorrelation coil combination, particularly GLS, produced optimal SNR for GABA-edited MRS data.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"122 ","pages":"Article 110452"},"PeriodicalIF":2.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557385","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}