Journal of Magnetic Resonance Imaging最新文献

{"title":"Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study","authors":"Kun Wang, Jiahe Wang, Ziyu Diao, Xin Tan, Shijun Qiu, Jie An","doi":"10.1002/jmri.70432","DOIUrl":"10.1002/jmri.70432","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Type 2 diabetes (T2DM) heightens cognitive impairment risk, yet the mechanisms remain unclear. Hyperglycemia-induced iron dysregulation in deep gray matter (DGM) nuclei may be a crucial mechanism.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To investigate DGM iron deposition in T2DM using Quantitative Susceptibility Mapping (QSM) and determine its association with cognitive function.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Type</h3>\u0000 \u0000 <p>Prospective.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Population</h3>\u0000 \u0000 <p>One hundred and fifteen T2DM patients (59.13% male, 53.04 ± 10.12 years) and 176 healthy controls (29.55% male, 50.18 ± 9.41 years).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Field Strength/Sequence</h3>\u0000 \u0000 <p>3 T; 3D T1-weighted and 3D multi-echo gradient-echo sequences.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Assessment</h3>\u0000 \u0000 <p>The magnetic susceptibility of eight bilateral DGM nuclei was quantitatively assessed via QSM. Comprehensive evaluations were conducted for all participants, covering demographic and clinical characteristics, and a battery of multidimensional neuropsychological tests.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Statistical Tests</h3>\u0000 \u0000 <p>Group differences in DGM magnetic susceptibility were assessed using two-sample <i>t</i>-tests. Partial correlation and multiple linear regression analyses were performed to examine associations between regional susceptibility and both cognitive and clinical variables. Mediation and moderation analyses were conducted to examine the relationships between various clinical factors, DGM susceptibility, and cognitive function. A corrected <i>p</i> < 0.05 was considered statistically significant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>T2DM patients showed significantly increased magnetic susceptibility in the thalamus, putamen, substantia nigra, and right red nucleus, while the caudate nucleus showed reduced susceptibility. Iron content in the caudate nucleus positively correlated with MoCA (<i>r</i> = 0.193) and CDT (<i>r</i> = 0.196), whereas putamen iron deposition negatively correlated with AVLT-immediate (<i>r</i> = −0.211) and AVLT-delay (<i>r</i> = −0.187) and positively correlated with G","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1295-1308"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.70432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148375948","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":"Zero Time-to-Echo Imaging of the Hand and Wrist in Rheumatoid Arthritis Patients","authors":"Jun Tsukamoto, Akitaka Fujisaki, Yoshiko Hayashida, Seiichi Murakami, Atsushi Nagayasu, Yasuyuki Todoroki, Shingo Nakayamada, Yoshiya Tanaka, Takatoshi Aoki","doi":"10.1002/jmri.70420","DOIUrl":"10.1002/jmri.70420","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Zero time-to-echo (ZTE) imaging allows for signal acquisition from tissues with extremely short T2* relaxation times, enabling the generation of computed tomography (CT)-like images through gray-scale inversion.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To assess the usefulness of adding ZTE imaging to conventional MRI for the detection of hand and wrist bone erosions in rheumatoid arthritis (RA) patients, using CT as the reference method.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Type</h3>\u0000 \u0000 <p>Prospective.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Subjects</h3>\u0000 \u0000 <p>Fifteen patients with RA (4 male and 11 female; mean age, 61.8 ± 15.5 years) participated in this study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Field Strength/Sequence</h3>\u0000 \u0000 <p>3-T, T1-weighted image (fast spin echo), T2-weighted image (fast spin echo), ZTE imaging (gradient echo).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Assessment</h3>\u0000 \u0000 <p>Three radiologists independently evaluated bone erosions on plain radiography, conventional MRI, and ZTE imaging using a four-point scale (0 = normal; 1 = discrete erosion; 2 ≤ 50% of joint surface involvement; 3 ≥ 50%). Bone erosion was defined as a sharply delineated juxta-articular lesion with a cortical defect. A total of 25 anatomical sites per hand and wrist were assessed, including the distal radius and ulna, eight carpal bones, metacarpal bases, and proximal and distal aspects of the metacarpophalangeal joints. CT was interpreted by a musculoskeletal radiologist and served as the reference standard.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Statistical Tests</h3>\u0000 \u0000 <p>Diagnostic performance (sensitivity and specificity) was compared with the McNemar test, and interobserver variability was assessed using Fleiss κ statistics. <i>p</i> values less than 0.01 were considered significant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The sensitivity and specificity of plain radiography, conventional MRI, and ZTE were 40.6/98.9%, 72.6/94.6%, and 95.9/97.6%, respectively. Interobserver agreement on bone erosion assessment was excellent for ZTE imaging (<i>κ</i> value of 0.822) but fair for plain radiography (<i>κ</i> value of 0.427) and good for conventional MR","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1337-1343"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.70420","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148421686","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 “Association of Baseline Glymphatic-Related MRI Metrics With Neoadjuvant Chemotherapy-Related Cognitive Impairment in Patients With Breast Cancer”","authors":"Tao Wang","doi":"10.1002/jmri.70456","DOIUrl":"10.1002/jmri.70456","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1324-1325"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148520434","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":"Voxel-Wise Radiomics Habitat Analysis of Posttreatment Gliomas for Noninvasive Differentiation of True Progression and Pseudoprogression","authors":"Linsha Yang, Defeng Liu, Duo Zhang, Juan Du, Qinglei Shi, Tao Zheng","doi":"10.1002/jmri.70419","DOIUrl":"10.1002/jmri.70419","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Differentiating true progression (TP) from pseudoprogression (PsP) after chemoradiotherapy in gliomas remains challenging because conventional MRI findings overlap.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To assess whether voxel-level radiomics habitat metrics improve TP/PsP classification and complement clinical and molecular features.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Type</h3>\u0000 \u0000 <p>Retrospective, multi-center.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Subjects</h3>\u0000 \u0000 <p>193 glioma patients after treatment: 121 in the training set (54.2 ± 11.3 years; 74 men; 85 TP/36 PsP) and 72 in the external testing set (51.4 ± 10.4 years; 44 men; 52 TP/20 PsP).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Field Strength/Sequence</h3>\u0000 \u0000 <p>3 and 1.5 T; contrast-enhanced T1-weighted spin-echo imaging (T1CE), T2-weighted fast/turbo spin-echo imaging (T2WI), T2-weighted fluid-attenuated inversion recovery fast/turbo spin-echo imaging (T2-FLAIR), diffusion-weighted echo-planar imaging (DWI), and arterial spin labeling (ASL).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Assessment</h3>\u0000 \u0000 <p>Voxel-wise radiomics features were extracted from contrast-enhancing tumor ROIs. Gaussian mixture models generated soft habitats, from which voxel-level metrics were calculated. Three models were constructed. The Clinical Model included tumor grade, isocitrate dehydrogenase (IDH) status, O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status, and time interval. Feature selection used least absolute shrinkage and selection operator (LASSO); classifier optimization employed Optuna-based Bayesian methods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Statistical Tests</h3>\u0000 \u0000 <p>Receiver operating characteristic (ROC) curve analysis, calibration curves, decision curve analysis (DCA), and SHAP were used. <i>p</i> < 0.05 indicated significance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In the testing set, the Clinical, Voxel-wise Habitat, and Combined Models achieved areas under the curve (AUCs) of 0.701 (95% confidence interval [CI]: 0.597–0.806), 0.832 (95% CI: 0.736–0.917), and 0.890 (95% CI: 0.819–0.958), respectively. The Combined Model significantly outperformed the clinical model (difference, 0.189). Voxel-wise Habitat versus Clinical (difference, 0.131; <i>p</i> = 0.164) and Combined versus Voxel-wise Habitat comparisons (difference, 0","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1266-1279"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148301953","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":"Association of Iron and Myelin Alterations in the Contralesional Dentate Nucleus and Thalamus With Functional Outcome in Acute Ischemic Stroke: A Susceptibility Source Separation Study","authors":"Haorui Wan, Yan Fu, Shun Zhang, Guiling Zhang, Yuanhao Li, Wenzhen Zhu, Yi Wang","doi":"10.1002/jmri.70431","DOIUrl":"10.1002/jmri.70431","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Susceptibility alterations in deep gray matter (DGM) nuclei after acute ischemic stroke (AIS) may relate to impaired functional independence. However, conventional quantitative susceptibility mapping (QSM) cannot separate paramagnetic iron-related from diamagnetic myelin-related sources, potentially obscuring relevant pathophysiological alterations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To apply <i>χ</i>-separation to disentangle paramagnetic susceptibility (<i>χ</i><sub>para</sub>) and diamagnetic susceptibility (<i>χ</i><sub>dia</sub>) in DGM nuclei after AIS and assess associations with 3-month functional independence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Type</h3>\u0000 \u0000 <p>Prospective.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Population</h3>\u0000 \u0000 <p>82 AIS patients (52 M/30 F) and 82 healthy controls (49 M/33 F).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Field Strength/Sequence</h3>\u0000 \u0000 <p>3 T; 3D multi-echo gradient-echo sequence for QSM and <i>χ</i>-separation reconstruction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Assessment</h3>\u0000 \u0000 <p><i>χ</i><sub>para</sub> and <i>χ</i><sub>dia</sub> were measured in the caudate, putamen, globus pallidus, substantia nigra, red nucleus, thalamus, and dentate nucleus. Contralesional nuclei were analyzed in patients. Group differences and 3-month outcome associations were assessed. Functional independence was defined as modified Rankin Scale score 0–2, and poor outcome as 3–6.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Statistical Tests</h3>\u0000 \u0000 <p>Linear mixed-effects models, analysis of covariance, logistic regression, receiver operating characteristic analysis; <i>p</i> < 0.05 was significant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared with healthy controls, patients showed higher <i>χ</i><sub>para</sub> in all seven nuclei, including the dentate nucleus (84.065 ± 15.086 vs. 76.172 ± 11.387 ppb) and thalamus (30.633 [28.036, 34.454] vs. 28.867 [26.749, 31.804] ppb), and higher <i>χ</i><sub>dia</sub> in the caudate, putamen, red nucleus, thalamus, and dentate nucleus (dentate nucleus: −18.916 ± 6.496 vs. −22.220 ± 5.002 ppb). Poor 3-month outcome was independently associated with higher dentate nucleus <i>χ</i><sub>para</sub> (OR, 1.07; 95% CI, 1.03–1.11), higher dentate nucleus <i>χ</i><sub>dia</sub> (OR, 1.14; 95% CI, 1.04–1.26), and higher thalamus <i>χ</i><sub>para</sub> (O","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1282-1292"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148375987","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 “Voxel-Wise Radiomics Habitat Analysis of Posttreatment Gliomas for Noninvasive Differentiation of True Progression and Pseudoprogression”","authors":"Toshiaki Taoka","doi":"10.1002/jmri.70422","DOIUrl":"10.1002/jmri.70422","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1280-1281"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148330617","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":"The Imaging Compass: Navigating Reperfusion in Acute Ischemic Stroke","authors":"Kai Xu,&nbsp;Jinhao Lyu,&nbsp;Xin Lou","doi":"10.1002/jmri.70517","DOIUrl":"10.1002/jmri.70517","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>The management of acute ischemic stroke has shifted from rigid time-based protocols to imaging-driven, tissue-based reperfusion strategies. Non-contrast CT and CT angiography remain the indispensable frontline for rapid triage, particularly in community and low-resource settings. However, magnetic resonance imaging (MRI) provides unique biological information that complements CT-based assessment: Diffusion-weighted imaging (DWI) detects cellular ischemia within minutes without contrast; DWI-fluid-attenuated inversion recovery (FLAIR) mismatch serves as a tissue clock for unknown-onset stroke; susceptibility-weighted imaging (SWI) aids thrombus characterization; and MRI resolves the posterior fossa without beam-hardening artifact. Low-field portable MRI further extends these capabilities to the bedside where conventional scanners are unavailable. This review examines four convergent trends within this transition: expanding thrombectomy to large-core infarction, extending thrombolysis through tissue-based selection, advancing recanalization in posterior-circulation stroke while defining boundaries for medium- and distal-vessel occlusions, and simplifying imaging workflows through fast MRI protocols, quantitative CT biomarkers, and artificial intelligence (AI). Landmark trials have established that treatment benefit is determined by tissue viability rather than clock time, while recent negative trials define critical boundaries beyond which intervention may cause harm. We critically appraise how CT and MRI are integrated hierarchically across these scenarios, and how emerging fast MRI and quantitative biomarkers may reshape future selection paradigms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Evidence Level</h3>\u0000 \u0000 <p>3–4.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Technical Efficacy</h3>\u0000 \u0000 <p>3.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1197-1214"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148818582","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 “Association of Iron and Myelin Alterations in the Contralesional Dentate Nucleus and Thalamus With Functional Outcome in Acute Ischemic Stroke: A Susceptibility Source Separation Study”","authors":"Yaqi Chen,&nbsp;Deren Wang","doi":"10.1002/jmri.70435","DOIUrl":"10.1002/jmri.70435","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1293-1294"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148387637","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 “Association Between Deep Gray Matter Iron Deposition Dysregulation and Cognitive Performance in Type 2 Diabetes Mellitus Patients: A Quantitative Susceptibility Mapping Study”","authors":"Yuto Uchida","doi":"10.1002/jmri.70434","DOIUrl":"10.1002/jmri.70434","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1309-1310"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148376032","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":"Probing Ovarian Stiffness in Healthy Volunteers With 3D Magnetic Resonance Elastography","authors":"Huiting Cao,&nbsp;Feng Jin,&nbsp;Qiang Liu,&nbsp;Wen Zhang,&nbsp;Yun Chen,&nbsp;Yu Shi,&nbsp;Wenxu Qi","doi":"10.1002/jmri.70455","DOIUrl":"10.1002/jmri.70455","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The feasibility of multi-frequency magnetic resonance elastography (MRE) for ovarian assessment, normative stiffness values, and related influencing factors in the general population remains unclear.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Purpose&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;To evaluate ovarian MRE feasibility, preferred frequency, normative stiffness, and influencing factors in healthy individuals.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Study Type&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Prospective.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Subjects&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;About 55 healthy female volunteers (median age: 42; median body mass index (BMI): 23).&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Field Strength/Sequence&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;3 T; spin-echo echo-planar imaging sequence at 40, 60, and 80 Hz.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Assessment&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Quality-control metrics and ovarian stiffness values (left and right) were measured for all participants. Image quality was evaluated by IQS (1–4; diagnostic images ≥ 3) and confidence percentage.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Statistical Tests&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Intraclass correlation coefficient (ICC); ANOVA; multivariate linear regression; significance level, &lt;i&gt;p&lt;/i&gt; &lt; 0.05.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Quality-control metrics, including fixed-ROI average phase SD [138.63 (106.17–177.74), 127.90 (97.77–186.46), and 133.70 (92.73–185.79)] and average within-ROI phase range [605.25 (468.43–777.50), 604.00 (432.83–821.50), and 607.00 (442.00–804.80)] at 40, 60, and 80 Hz, showed no significant frequency-dependent variation (both &lt;i&gt;p&lt;/i&gt; = 0.947), confirming no substantial vibration-induced phase artifacts. Combined with good-to-excellent reproducibility (ICCs: 0.897–0.999), these data supported the feasibility of ovarian MRE. Among tested frequencies, 60 Hz showed relatively favorable image quality, the highest IQS agreement (inter-reader/intra-reader weighted &lt;i&gt;κ&lt;/i&gt; = 0.828–0.891/0.862–0.877). Ovarian stiffness ranges were 1.56–2.91, 2.91–3.70, and 3.10–3.89 kPa in the premenopausal, perimenopausal, and postmenopausal groups, respectively. Ovarian stiffness remained stable across menstrual-cycle phases in either ovary (left/right: &lt;i&gt;p&lt;/i&gt; = 0.250/0.358, 0.986/0.858, 0.088/0.476, 0.249/0.448, 0.633/0.185, and 0.120/0.706). Regression analysis identified age and BMI as independent predictors of ovarian stiffness; age had a larger","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"64 5","pages":"1215-1226"},"PeriodicalIF":4.3,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148471193","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}