Journal of Magnetic Resonance Imaging最新文献

{"title":"Quantification of Lung Ventilation Using Four-Dimensional Dynamic Ultrashort Echo Time MRI for Differentiating Preserved Ratio Impaired Spirometry From Non-Chronic Obstructive Pulmonary Disease Subjects.","authors":"Ziwei Zhang, Jie Li, Zekang Ding, Yi Xia, Song Jiang, Meiling Xu, Zijun Wu, Huajun She, Shiyuan Liu, Yiping P Du, Li Fan","doi":"10.1002/jmri.70064","DOIUrl":"https://doi.org/10.1002/jmri.70064","url":null,"abstract":"<p><strong>Background: </strong>Radiation-free four-dimensional (4D) dynamic ultrashort echo time MRI (UTE MRI) enables quantification of ventilation defects in chronic obstructive pulmonary disease (COPD) and preserved ratio impaired spirometry (PRISm) populations.</p><p><strong>Purpose: </strong>To quantify pulmonary ventilation using 4D UTE MRI in PRISm and COPD populations, and determine its ability to distinguish PRISm from non-COPD subjects.</p><p><strong>Study type: </strong>Prospective, cross-sectional.</p><p><strong>Subjects: </strong>90 subjects (25 COPD, 31 PRISm, and 34 with normal spirometry).</p><p><strong>Field strength/sequence: </strong>Four-dimensional dynamic UTE MRI at 3 T.</p><p><strong>Assessment: </strong>All subjects underwent pulmonary function tests, paired inspiratory and expiratory chest CT, and 4D UTE MRI. Parametric response maps (PRM) were generated and voxels were classified as normal, emphysema, or functional small airway disease (fSAD). The percentage of low attenuation area (LAA%), PRM^Emphy% and PRM^fSAD% were determined. Ventilation defect maps were generated to derive ventilation defect percentage (VDP).</p><p><strong>Statistical tests: </strong>Kruskal-Wallis test with Dunn-Bonferroni post hoc correction was used. Agreement was assessed using Bland-Altman plots (95% limits of agreement [LoA]). Correlations were analyzed by Spearman's rank correlation coefficient (r). Significant predictors were identified through binary logistic regression. The significance threshold was set at p < 0.05.</p><p><strong>Results: </strong>VDP in smokers with normal spirometry showed no significant differences compared to VDP in GOLD 1-2 COPD (p = 0.98) or PRISm (p = 1). VDP mildly correlated with PRM^Emphy% (r = 0.44), LAA% (r = 0.38), and PRM^fSAD% (r = 0.25). VDP (odds ratio = 1.27, 95% confidence interval: 1.04-1.65) was a significant predictor for PRISm. The inter-modality agreement demonstrated minimal systematic bias with mean differences of 0 (95% LoA: -2.41 to 2.41) for observer 1 and 0 (95% LoA: -2.45 to 2.45) for observer 2.</p><p><strong>Data conclusion: </strong>Free-breathing 4D UTE MRI objectively quantifies total ventilation defects and may serve as a potential imaging tool for identifying early abnormalities in subjects at risk of PRISm.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Technical efficacy: </strong>Stage 2.</p><p><strong>Trial registration: </strong>ClinicalTrial.gov identifier: NCT02100800.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fetal MRI: Radiofrequency Safety Assessment at 3 Tesla.","authors":"Filiz Yetisir, Esra Abaci Turk, Henry A Feldman, Borjan Gagoski, Ryne A Didier, Carol Barnewolt, Judy A Estroff, Lawrence L Wald, Elfar Adalsteinsson, P Ellen Grant","doi":"10.1002/jmri.29797","DOIUrl":"10.1002/jmri.29797","url":null,"abstract":"<p><strong>Background: </strong>3-T MRI can improve image quality of fetal imaging compared to 1.5-T MRI. However, concerns exist regarding increased local tissue heating at 3-T.</p><p><strong>Purpose: </strong>To assess fetal MRI radiofrequency (RF) safety at 3-T by comparing simulated tissue heating to 1.5-T (using constant RF exposure) and by simulating tissue heating at 3-T using RF exposures from clinical fetal examinations.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Seven voxelized anatomical pregnant body models (gestational age [GA] 30 ± 3 weeks [mean ± standard deviation], maternal body mass index [BMI] 27.8 ± 8.5 kg/m²) were used. Maternal whole-body average specific absorption rate (wbSAR) logs were collected from 85 clinical examinations at 3-T (GA 25 ± 6 weeks, BMI 30.3 ± 6.8 kg/m²).</p><p><strong>Field strength/sequence: </strong>3-T, 1.5-T, HASTE, VIBE, TRUFISP, EPI, DTI.</p><p><strong>Assessment: </strong>Simulated maternal and fetal peak and average SAR, temperature, and peak thermal dose were compared at 3-T and 1.5-T for 60 min 2 W/kg wbSAR using 7 body models and a 16-rung band-pass RF coil. Temperature and thermal dose were simulated in one body model using clinical wbSAR exposures at 3-T.</p><p><strong>Statistical tests: </strong>Factorial analysis of variance was performed using 28 maternal and fetal temperature measurements from 7 body models to detect a difference between 3-T and 1.5-T. p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>For constant RF exposure, we found no difference between 3-T and 1.5-T in peak maternal (1.5-T:40.38 ± 0.21°C; 3-T:40.40 ± 0.20°C; p = 0.85), peak fetal (1.5-T:39.21 ± 0.17°C; 3-T:39.09 ± 0.16°C; p = 0.19), and average maternal (1.5-T:37.32 ± 0.05°C; 3-T:37.33 ± 0.04°C; p = 0.68) temperature. We observed significantly higher average fetal temperatures at 1.5-T (1.5-T:37.75 ± 0.06°C; 3-T:37.70 ± 0.05°C). For 3-T clinical RF exposures, simulated peak temperatures exceeded the recommended limits. However, the thermal dose was below the recommended limit.</p><p><strong>Data conclusion: </strong>For the same RF coil geometry, local heating was similar at 3-T and 1.5-T for constant RF exposure. Although realistic 3-T RF exposures could cause peak temperatures above the recommended limits, thermal dose was below the recommended limit.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"844-853"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335923/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI.","authors":"Patricia M Johnson, Tarun Dutt, Luke A Ginocchio, Amanpreet Singh Saimbhi, Lavanya Umapathy, Kai Tobias Block, Daniel K Sodickson, Sumit Chopra, Angela Tong, Hersh Chandarana","doi":"10.1002/jmri.29798","DOIUrl":"10.1002/jmri.29798","url":null,"abstract":"<p><strong>Background: </strong>MRI plays a critical role in prostate cancer (PCa) detection and management. Bi-parametric MRI (bpMRI) offers a faster, contrast-free alternative to multi-parametric MRI (mpMRI). Routine use of mpMRI for all patients may not be necessary, and a tailored imaging approach (bpMRI or mpMRI) based on individual risk might optimize resource utilization.</p><p><strong>Purpose: </strong>To develop and evaluate a deep learning (DL) model for classifying clinically significant PCa (csPCa) using bpMRI and to assess its potential for optimizing MRI protocol selection by recommending the additional sequences of mpMRI only when beneficial.</p><p><strong>Study type: </strong>Retrospective and prospective.</p><p><strong>Population: </strong>The DL model was trained and validated on 26,129 prostate MRI studies. A retrospective cohort of 151 patients (mean age 65 ± 8) with ground-truth verification from biopsy, prostatectomy, or long-term follow-up, alongside a prospective cohort of 142 treatment-naïve patients (mean age 65 ± 9) undergoing bpMRI, was evaluated.</p><p><strong>Field strength/sequence: </strong>3 T, Turbo-spin echo T2-weighted imaging (T2WI) and single shot EPI diffusion-weighted imaging (DWI).</p><p><strong>Assessment: </strong>The DL model, based on a 3D ResNet-50 architecture, classified csPCa using PI-RADS ≥ 3 and Gleason ≥ 7 as outcome measures. The model was evaluated on a prospective cohort labeled by consensus of three radiologists and a retrospective cohort with ground truth verification based on biopsy or long-term follow-up. Real-time inference was tested on an automated MRI workflow, providing classification results directly at the scanner.</p><p><strong>Statistical tests: </strong>AUROC with 95% confidence intervals (CI) was used to evaluate model performance.</p><p><strong>Results: </strong>In the prospective cohort, the model achieved an AUC of 0.83 (95% CI: 0.77-0.89) for PI-RADS ≥ 3 classification, with 93% sensitivity and 54% specificity. In the retrospective cohort, the model achieved an AUC of 0.86 (95% CI: 0.80-0.91) for Gleason ≥ 7 classification, with 93% sensitivity and 62% specificity. Real-time implementation demonstrated a processing latency of 14-16 s for protocol recommendations.</p><p><strong>Data conclusion: </strong>The proposed DL model identifies csPCa using bpMRI and integrates it into clinical workflows.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"858-866"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335925/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Habitat Radiomics Based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Assessing Axillary Lymph Node Burden in Clinical T1-T2 Stage Breast Cancer: A Multicenter and Interpretable Study\".","authors":"Marialena Tsarouchi, Alexandros Vamvakas","doi":"10.1002/jmri.29809","DOIUrl":"10.1002/jmri.29809","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"765-766"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Feasibility of MRI-Guided Transperineal Implantation of Microdevices for Drug Delivery and Response Assessment in Prostate Cancer\".","authors":"Liang Wang, Qiubai Li","doi":"10.1002/jmri.29791","DOIUrl":"10.1002/jmri.29791","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"719-720"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144004249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized Long-TE ¹H sLASER MR Spectroscopic Imaging at 3T for Separate Quantification of Glutamate and Glutamine in Glioma.","authors":"Seyma Alcicek, Michael W Ronellenfitsch, Joachim P Steinbach, Andrei Manzhurtsev, Dennis C Thomas, Katharina J Weber, Vincent Prinz, Marie-Thérèse Forster, Elke Hattingen, Ulrich Pilatus, Katharina J Wenger","doi":"10.1002/jmri.29787","DOIUrl":"10.1002/jmri.29787","url":null,"abstract":"<p><strong>Background: </strong>Glutamate and glutamine are critical metabolites in gliomas, each serving distinct roles in tumor biology. Separate quantification of these metabolites using in vivo MR spectroscopy (MRS) at clinical field strengths (≤ 3T) is hindered by their molecular similarity, resulting in overlapping, hence indistinguishable, spectral peaks.</p><p><strong>Purpose: </strong>To develop an MRS imaging (MRSI) protocol to map glutamate and glutamine separately at 3T within clinically feasible time, using J-modulation to enhance spectral differentiation, demonstrate its reliability/reproducibility, and quantify the metabolites in glioma subregions.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Phantoms, 5 healthy subjects, and 30 patients with suspected glioma. IDH wild-type glioblastoma cases were evaluated to establish a uniform group.</p><p><strong>Field strength/sequence: </strong>3T, Research protocol: 2D ¹H sLASER MRSI (40 and 120 ms TE) with water reference, 3D T1-weighted and 2D T2-weighted. Trial-screening process: T1-weighted, T1-weighted contrast-enhanced, T2-weighted, FLAIR.</p><p><strong>Assessment: </strong>Spectral simulations and phantom measurements were performed to design and validate the protocol. Spectral quality/fitting parameters for scan-rescan measurements were obtained using LCModel. The proposed long-TE data were compared with short-TE data. BraTS Toolkit was employed for fully automated tumor segmentation.</p><p><strong>Statistical tests: </strong>Scan-rescan comparison was performed using Bland-Altman analysis. LCModel coefficient of modeling covariance (CMC) between glutamate and glutamine was mapped to evaluate their model interactions for each spectral fitting. Metabolite levels in tumor subregions were compared using one-way ANOVA and Kruskal-Wallis. A p value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Spectral quality/fitting parameters and metabolite levels were highly consistent between scan-rescan measurements. A negative association between glutamate and glutamine models at short TE (CMC = -0.16 ± 0.06) was eliminated at long TE (0.01 ± 0.05). Low glutamate in tumor subregions (non-enhancing-tumor-core: 5.35 ± 4.45 mM, surrounding-non-enhancing-FLAIR-hyperintensity: 7.39 ± 2.62 mM, and enhancing-tumor: 7.60 ± 4.16 mM) was found compared to contralateral (10.84 ± 2.94 mM), whereas glutamine was higher in surrounding-non-enhancing-FLAIR-hyperintensity (9.17 ± 6.84 mM) and enhancing-tumor (7.20 ± 4.42 mM), but not in non-enhancing-tumor-core (4.92 ± 3.38 mM, p = 0.18) compared to contralateral (2.94 ± 1.35 mM).</p><p><strong>Data conclusion: </strong>The proposed MRSI protocol (~12 min) enables separate mapping of glutamate and glutamine reliably along with other MRS-detectable standard metabolites in glioma subregions at 3T.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"890-901"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Brain Tumor Characterization Using Multiple MR Parameters From Multi-Contrast EPI With Keyhole (GE-SE EPIK) Including Oxygen Extraction Fraction: A Comparison to O-(2-[18F]Fluoroethyl)-L-Tyrosine (FET) Positron Emission Tomography.","authors":"Fabian Küppers, Mohamed Kassem, Seong Dae Yun, Gabriele Stoffels, Christian Filß, Norbert Galldiks, Felix M Mottaghy, M Eline Kooi, Karl-Josef Langen, Philipp Lohmann, N Jon Shah","doi":"10.1002/jmri.29795","DOIUrl":"10.1002/jmri.29795","url":null,"abstract":"<p><strong>Background: </strong>Tumor characterization and treatment efficacy are associated with tissue hypoxia. MR-derived oxygen extraction fraction (OEF) may offer valuable tumor insights but depends on multiple measurement parameters, often requiring multiple sequence acquisitions. Specific multi-parametric sequences offer direct access to MR parameter sets within short acquisition times.</p><p><strong>Purpose: </strong>To evaluate the potential of gradient-echo spin-echo echo-planar imaging with keyhole (GE-SE EPIK)-derived parameters (OEF/T₂/T₂*/venous cerebral blood volume (vCBV)) to characterize increased metabolic activity tissue identified in [¹⁸F]fluoroethyl-L-tyrosine (FET) PET, serving as a surrogate for neoplastic tissue.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Fifty-seven brain tumor patients (female/male:31/26; age 27-73 years) with 66 histologically confirmed lesions (suspected glioblastoma (16), glioblastoma (28), astrocytoma (11), metastasis (6), oligodendroglioma (5)).</p><p><strong>Field strength/sequence: </strong>10-echo GE-SE EPIK sequence at 3 T.</p><p><strong>Assessment: </strong>GE-SE EPIK data were acquired in a hybrid MR PET scanner during FET PET acquisitions. Two tumor segmentations based on FET-PET uptake and FLAIR hyperintensities were manually created. Mean GE-SE EPIK-derived parameters were calculated within tumor regions and compared to contralateral reference values. Relative tumor-to-reference parameters were compared across tumor types.</p><p><strong>Statistical tests: </strong>One/two-sampled, two-tailed t-tests of mean relative MR-derived parameters. p-value < 0.05 was considered significant.</p><p><strong>Results: </strong>Significantly increased T₂/T₂* and decreased vCBV/OEF were found in FET-PET and FLAIR-derived VOIs. Latter showed decreased R2'. Significant correlation between FET uptake and T₂/T₂* was found in FET-VOIs (Pearson correlation: 0.26/0.31, respectively). Oligodendrogliomas showed significant differences to glioblastomas (rR₂', rOEF) and astrocytomas (rR₂'). Metastasis showed different rT₂ values than suspected gliomas. Astrocytoma differed from gliomas in FET-TBR. Susceptibility artifacts in T₂* maps from air-tissue interfaces limited qualitative data interpretation.</p><p><strong>Data conclusion: </strong>GE-SE EPIK provides multiple MR parameters that are sensitive to expected changes in tumor regions obtained from FET and FLAIR thresholds. Susceptibility artifacts in T₂*/OEF maps made the differentiation between tumor relapse and treatment-related changes challenging. However, certain MR-derived parameters showed the ability to distinguish tumor types.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"721-736"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335343/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143970126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of In Vivo Kidney Stiffness Measured by Multifrequency MR Elastography and Long-Term Renal Function in Transplant Recipients and Living Donors.","authors":"Stephan Rodrigo Marticorena Garcia, Jonas Oppenheimer, Tom Meyer, Frank Friedersdorff, Ingolf Sack","doi":"10.1002/jmri.29799","DOIUrl":"10.1002/jmri.29799","url":null,"abstract":"<p><strong>Background: </strong>Kidney transplant (KTx) function assessment is important in treatment planning, while conventional MRI markers lack sensitivity for KTx function. Mechanical kidney properties may serve as MRI markers for renal allograft function.</p><p><strong>Hypothesis: </strong>To determine if multifrequency MR elastography (MRE) is associated with KTx function.</p><p><strong>Study type: </strong>Prospective, longitudinal.</p><p><strong>Subjects: </strong>Twelve kidney donors (51 ± 9 years, 8 females) and 12 allograft recipients (48 ± 17 years, 2 females).</p><p><strong>Fieldstrength/sequence: </strong>1.5 T, MRE, and diffusion-weighted MRI based on spin-echo echo-planar imaging and T2-weighted MRI volumetry.</p><p><strong>Assessment: </strong>Kidney donors were imaged pre- and post-KTx, while allograft recipients were imaged post-KTx. Renal function was assessed using creatinine levels (at 1 week, 1 month, and 3 years post-KTx in recipients) and glomerular filtration rate (GFR; donors pre-KTx) based on Tc-99m-MAG3 scintigraphy. Kidney volumes were measured by MRI segmentations, and ADC, shear-wave speed (SWS), and loss-angle maps were reconstructed. The correlations between MR parameters, GFR, and creatinine level (minimum value over study period) were investigated.</p><p><strong>Statistical tests: </strong>Wilcoxon tests and Pearson correlation coefficients (R). A p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>No significant lateral differences in renal volume (153 ± 34 cm³, p = 0.34) or SWS (2.5 ± 0.4 m/s, p = 0.20) were found pre-KTx. Volume and SWS increased significantly post-KTx in reference kidneys (volume: +13%, SWS: +11%) and in transplants in recipients (volume: +20%, SWS: +32%). SWS, but not volume (p = 0.75), correlated positively with GFR in donors pre-KTx (R = 0.67) while both SWS (R = ‑0.62) and volume (R = -0.77) negatively correlated with creatinine levels post-KTx. ADC was sensitive to KTx-associated changes in renal function in donors (3% ± 5%) but not recipients (p = 0.88).</p><p><strong>Data conclusion: </strong>MRE provides valuable information on renal function and could serve as a baseline for longitudinal monitoring of kidney transplants. Parenchymal stiffening post-KTx had significantly larger effect sizes in denervated allografts than in reference donor kidneys with intact autoregulation of renal blood flow.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"792-799"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144021241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Feasibility of Qualitative Evaluation and Quantitative T2 Mapping of Peripheral Nerves and Muscles Using GRAPPATINI\".","authors":"Hamidreza Shaterian Mohammadi, Sameer B Shah, Saeed Jerban","doi":"10.1002/jmri.29805","DOIUrl":"10.1002/jmri.29805","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"790-791"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144011187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerated Abdominal MRI: A Review of Current Methods and Applications.","authors":"Li Feng, Hersh Chandarana","doi":"10.1002/jmri.29750","DOIUrl":"10.1002/jmri.29750","url":null,"abstract":"<p><p>MRI is widely used for the diagnosis and management of various abdominal diseases involving organs such as the liver, pancreas, and kidneys. However, one major limitation of MRI is its relatively slow imaging speed compared to other modalities. In addition, respiratory motion poses a significant challenge in abdominal MRI, often requiring patients to hold their breath multiple times during an exam. This requirement can be particularly challenging for sick, elderly, and pediatric patients, who may have reduced breath-holding capacity. As a result, rapid imaging plays an important role in routine clinical abdominal MRI exams. Accelerated data acquisition not only reduces overall exam time but also shortens breath-hold durations, thereby improving patient comfort and compliance. Over the past decade, significant advancements in rapid MRI have led to the development of various accelerated imaging techniques for routine clinical use. These methods improve abdominal MRI by enhancing imaging speed, motion compensation, and overall image quality. Integrating these techniques into clinical practice also enables new applications that were previously challenging. This paper provides a concise yet comprehensive overview of rapid imaging techniques applicable to abdominal MRI and discusses their advantages, limitations, and potential clinical applications. By the end of this review, readers are expected to learn the latest advances in accelerated abdominal MRI and explore new frontiers in this evolving field. Evidence Level: N/A Technical Efficacy: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"654-672"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}