Magnetic resonance imaging最新文献

{"title":"Non-contrast free-running high-resolution volumetric multi-slab cardiac cine MRI at 3 T","authors":"Chenhao Gao,&nbsp;Fan Yang,&nbsp;Zhihao Xue,&nbsp;Junyao Zhang,&nbsp;Zhuo Chen,&nbsp;Sirui Huo,&nbsp;Juan Gao,&nbsp;Yixin Emu,&nbsp;Haiyang Chen,&nbsp;Chenxi Hu","doi":"10.1016/j.mri.2025.110591","DOIUrl":"10.1016/j.mri.2025.110591","url":null,"abstract":"<div><div>Free-running self-gated 3D cardiac cine imaging is highly desirable for volumetric, high-resolution, breath-hold-free assessment of left ventricular (LV) function. However, its implementation at 3 T remains challenging due to specific absorption rate (SAR) constraints and reduced myocardium-blood contrast. In this study, we propose a novel non-contrast, free-running, self-gated 3D gradient-echo (GRE) cine sequence for 3 T imaging, which acquires multi-slab data using a pseudo-radial Cartesian trajectory with a 1.5 mm slice thickness. To address respiratory motion, a locally low-rank motion-corrected image reconstruction algorithm was developed. Fifteen participants underwent imaging with the proposed multi-slab 3D cine sequence and conventional 2D cine sequences. Additionally, single-slab 3D cine data were acquired in 10 participants. Various image quality metrics (signal-to-noise ratio, contrast-to-noise ratio, myocardial sharpness, and residual artefact) and LV volumetric parameters (end-diastolic volume (EDV), end-systolic volume (ESV), and ejection fraction (EF)) were compared between the different methods. Results demonstrated that the proposed multi-slab 3D cine method provided significantly superior image quality compared to the single-slab 3D approach (myocardial sharpness: 2.82 ± 0.42 vs. 1.58 ± 0.46, <em>P</em> = 0.005; residual artefact: 2.58 ± 0.26 vs. 1.13 ± 0.21, P = 0.005) due to the improvement of image contrast. Furthermore, the multi-slab 3D cine sequence exhibited good agreement and correlation with the reference 2D cine method in terms of volumetric measures (EDV: 140.3 ± 19.9 mL vs. 139.3 ± 20.0 mL, <em>P</em> = 0.357, <em>r</em> = 0.976; ESV: 56.7 ± 11.8 mL vs. 57.7 ± 10.2 mL, <em>P</em> = 0.259, <em>r</em> = 0.964; EF: 59.8 % ± 4.9 % vs. 58.7 % ± 3.7 %, <em>P</em> = 0.073, <em>r</em> = 0.907). In conclusion, the proposed multi-slab 3D cine framework enables free-running 3 T cine imaging with whole-heart coverage and high through-plane resolution. Although myocardium-blood contrast is reduced compared to 2D breath-hold cine, the retained contrast is sufficient to evaluate LV function.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110591"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735213","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":"Multicenter validation of amide proton transfer imaging for the classification of adult-type diffuse gliomas","authors":"Tongling Jiang ,&nbsp;Minghao Wu ,&nbsp;Junjiao Hu ,&nbsp;Hu Guo ,&nbsp;Xiaoyue Ma ,&nbsp;Yaou Liu ,&nbsp;Yi Zhang","doi":"10.1016/j.mri.2025.110599","DOIUrl":"10.1016/j.mri.2025.110599","url":null,"abstract":"<div><div>Accurate classification of adult-type diffuse gliomas is essential for treatment planning, particularly following the 2021 WHO classification update. While amide proton transfer (APT) imaging shows promise, multicenter validation is needed to establish its clinical utility. This study aims to evaluate the multicenter performance of the APT-weighted (APTw) metric for differentiating genotypes, grades, and subtypes of adult-type diffuse gliomas. MRI and clinical data were collected from three centers between July 2020 and January 2024. A standardized whole-brain SPACE CEST imaging protocol was used, and molecular diagnoses were confirmed. Tumor core regions were delineated on T2-weighted images, and multi-modality data were co-registered to T1-weighted images. Mean APTw values were assessed for IDH genotyping and grading among three centers, and for subtyping across two centers, using unpaired <em>t</em>-tests and receiver operating characteristic (ROC) curve analysis. A total of 123 patients (mean age: 48 ± 12 years; 67 males) were included. APTw indices were significantly higher in IDH-wildtype and high-grade gliomas compared to IDH-mutant and low-grade groups (<em>p</em> &lt; 0.01). ROC analysis demonstrated strong classification performance: for IDH genotyping, the pooled area under the ROC curve (AUC) value was 0.84 (individual centers: 0.86, 0.84, and 0.93); for glioma grading, the pooled AUC was 0.83 (individual centers: 0.86, 0.84, and 0.83). Subtyping results showed good performance, particularly in differentiating glioblastomas from oligodendrogliomas (AUC: 0.93) and astrocytomas (AUC: 0.81). APT imaging effectively differentiated glioma grades and IDH mutations across centers, demonstrating robust multicenter performance. However, challenges remain in differentiating specific glioma subtypes.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110599"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840791","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":"The nature and interpretation of BOLD signals in white matter - A review","authors":"J.C. Gore ,&nbsp;M. Li ,&nbsp;K.G. Schilling ,&nbsp;L. Xu ,&nbsp;Y. Li ,&nbsp;Z. Zu ,&nbsp;A.W. Anderson ,&nbsp;Z. Ding ,&nbsp;Y. Gao","doi":"10.1016/j.mri.2025.110596","DOIUrl":"10.1016/j.mri.2025.110596","url":null,"abstract":"<div><div>This review summarizes selected recent findings demonstrating the dependence of blood oxygenation level dependent (BOLD) signals in white matter (WM) on tissue microstructure, composition, vascular properties and metabolism, as well as their relationships to fMRI signals within gray matter (GM) networks. BOLD signals in WM are robustly detectable after a stimulus, and at rest their temporal variations reveal synchronized networks and correlated neural activities involving both WM and GM. However, to date, most analyses of brain fMRI data have ignored WM signals, and often have removed them as nuisance regressors. However, emerging evidence clearly demonstrates that WM BOLD signals represent potentially important and heretofore overlooked indicators of neural activities that are intimately related to how cortical regions communicate, and so should be incorporated into more complete models of brain functional organization. Here we review recent work that contributes to our understanding of their interpretation and significance.</div><div>The factors that affect the magnitude and other characteristics of BOLD responses in WM are becoming more clear, and recent studies have demonstrated and quantified the relationships between BOLD signals and vascular and microstructural properties of WM tracts. These relationships depend on the degree of myelination and neurite and mitochondrial densities, but they also are qualitatively different when comparing different fiber types, notably association versus projection fibers. Some fully myelinated fibers appear to not show detectable BOLD effects. The relationships between WM and GM BOLD signals, the contributions of GM resting state correlations and signals to WM BOLD signals, and the engagement of WM in GM networks, are also becoming more clear. These findings supplement the growing literature demonstrating practical, clinical applications of BOLD in WM. The goal of this review is to highlight recent research that demonstrates how WM and GM activities are related, and to stimulate further investigations that may produce a more complete model of brain organization.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110596"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145781590","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":"Nesterov accelerated spectral conjugate gradient algorithm for magnetic resonance imaging with TV regularisation","authors":"YueHong Ding ,&nbsp;ZhiBin Zhu ,&nbsp;Shuo Wang ,&nbsp;BenXin Zhang","doi":"10.1016/j.mri.2025.110604","DOIUrl":"10.1016/j.mri.2025.110604","url":null,"abstract":"<div><div>Magnetic Resonance Imaging (MRI) as a representative of noninvasive medical imaging, it has excellent soft tissue resolution, multi-parameter imaging capability and no radiation, thus it has been widely used in the fields of disease diagnosis, treatment and drug development. However, MRI technology still has problems such as long time consuming, sensitive to motion artefacts, and difficult to balance the imaging effect and speed. In this paper, a Nesterov accelerated spectral conjugate gradient algorithm (TV_NASCG) for MRI with TV regularisation is established from optimising reconstruction algorithms based on Total Variation (TV) regularised MRI model. The algorithm is based on a set of conjugate and spectral parameters proposed in this paper, and inspired by Nesterov acceleration technique, a set of Nesterov acceleration extrapolation step and acceleration parameter are proposed. In this paper, we also use step size acceleration technique and Powell restart strategy to further improve performance of the algorithm. In addition, we give a convergence analysis of TV_NASCG algorithm, which proves that it is sufficiently descent and globally convergent. Finally, in order to verify MRI performance of TV_NASCG algorithm, it was tested in MRI experiment and compared with other algorithms, and experimental results show that TV_NASCG algorithm can improve MRI quality and shorten imaging time.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110604"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850274","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":"Coronary artery black-blood imaging via T2-prepared phase-sensitive inversion-recovery steady-state free precession in Kawasaki disease","authors":"Koji Matsumoto ,&nbsp;Hajime Yokota ,&nbsp;Hiroki Mukai ,&nbsp;Ryota Ebata ,&nbsp;Kentaro Okunushi ,&nbsp;Hiromichi Hamada ,&nbsp;Hiroyuki Takaoka ,&nbsp;Masami Yoneyama ,&nbsp;Takashi Namiki ,&nbsp;Takashi Iimori ,&nbsp;Takashi Uno","doi":"10.1016/j.mri.2025.110589","DOIUrl":"10.1016/j.mri.2025.110589","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aimed to evaluate, qualitatively and quantitatively, cross-sectional black-blood images obtained using T₂-prepared phase-sensitive inversion-recovery steady-state free precession (T₂PSIR-SSFP), in comparison with conventional double inversion recovery turbo spin-echo (DIR-TSE), in patients with Kawasaki disease (KD), and to assess the feasibility of T₂PSIR-SSFP imaging.</div></div><div><h3>Materials and methods</h3><div>Nine patients (three female and six male; median age, 6.2 years; range, 8 months–14 years) were enrolled. Black-blood imaging was separately analyzed in aneurysmal and regressed aneurysmal regions. Lumen and outer wall boundary image quality was visually graded using a four-point scale. Lumen area (LA) reproducibility measurements were determined using intraclass correlation coefficients (ICCs) between T₂PSIR-SSFP and coronary magnetic resonance angiography (MRA) images, as well as between DIR-TSE and MRA. Agreement between T₂PSIR-SSFP and MRA was further examined using Bland–Altman analysis.</div></div><div><h3>Results</h3><div>A total of 22 coronary regions (11 aneurysmal and 11 regressed aneurysmal) were assessed. T₂PSIR-SSFP exhibited excellent reproducibility with MRA in both aneurysmal and regressed aneurysmal regions (ICCs = 0.99 and 1.00, respectively). DIR-TSE showed high reproducibility in regressed aneurysmal regions (ICC = 0.93) but poor agreement in aneurysmal regions (ICC = 0.43). Bland–Altman analysis revealed strong agreement between T₂PSIR-SSFP and MRA, with no fixed or proportional bias in either region (<em>P</em> &gt; 0.1).</div></div><div><h3>Conclusions</h3><div>Flow-independent coronary black-blood imaging using T₂PSIR-SSFP provided values within the expected range in patients with KD. T₂PSIR-SSFP imaging appears suitable for KD follow-up because it can provide accurate cross-sectional images and reproducibility of LA measurements.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110589"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145708504","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":"Tumor stiffness as an imaging biomarker of tyrosine kinase inhibitor response: A preclinical study","authors":"Baihe Luo ,&nbsp;Aoran Yang ,&nbsp;Jialin Li ,&nbsp;Chen Pan,&nbsp;Chunli Li,&nbsp;Minghui Zhou,&nbsp;Zhiying Wang,&nbsp;Chengli Gu,&nbsp;Xiaoli Yin,&nbsp;Yun Zhao,&nbsp;Yu Shi","doi":"10.1016/j.mri.2025.110577","DOIUrl":"10.1016/j.mri.2025.110577","url":null,"abstract":"<div><h3>Objective</h3><div>Tyrosine kinase inhibitors (TKIs), such as sorafenib, are standard therapies for advanced hepatocellular carcinoma (HCC), but their biomechanical impact and the role of magnetic resonance elastography (MRE) in treatment evaluation remain unclear. This study explored whether TKIs reduce tumor stiffness by inhibiting malignant behavior and whether MRE can detect such changes early.</div></div><div><h3>Methods</h3><div>A prospective animal study was performed using subcutaneous SK-HEP-1 HCC xenografts in 50 nude rats. Forty tumor-bearing rats were randomized to control or sorafenib-treated groups (<em>n</em> = 20 each). Multiparametric 3.0 T MRI included T1- and T2-weighted imaging, T1/T2/T2* mapping, and MRE at 200 Hz and 100 Hz. Imaging was conducted at baseline (∼2 cm³ tumor volume) and on days 1, 2, and 3 post-intervention. Histology involved H&amp;E and immunohistochemistry for VEGFR-1, BRAF, Ki67, and TUNEL. Ex vivo stiffness was measured by atomic force microscopy. Cell behavior was assessed by EdU, Transwell, CCK-8, and Western blot. Statistical analysis included ICC, Bland–Altman, Mann–Whitney U, repeated measures ANOVA, Spearman correlation, and multivariate regression.</div></div><div><h3>Results</h3><div>TKIs reduced tumor stiffness at cellular (<em>P</em> = 0.02) and tissue (<em>P</em> = 0.004) levels. Stiffness decreased by day 2 at 200 Hz and day 3 at both frequencies. Treated tumors showed reduced cellularity, lower Ki67, and increased apoptosis. Stiffness correlated with cellularity (<em>r</em> = 0.527) and Ki67 (<em>r</em> = 0.623), both predicting MRE stiffness (R² = 0.537).</div></div><div><h3>Conclusion</h3><div>TKIs reduce stiffness and malignancy in HCC. MRE is a promising tool for early treatment response evaluation.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110577"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145634504","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":"Time-dependent diffusion MRI combined with enhanced MRI and clinical indicators for preoperative prediction of CK19 expression status in hepatocellular carcinoma: a prospective study","authors":"Yu-chen Wei ,&nbsp;Xing-Qing Qin ,&nbsp;Jian-sun Li ,&nbsp;Yuan-fang Tao ,&nbsp;Chongze Yang ,&nbsp;Qing ling Huang ,&nbsp;Yan-yan Yu ,&nbsp;Huiting Zhang ,&nbsp;Haodong Qin ,&nbsp;Thorsten Feiweier ,&nbsp;Jin-yuan Liao","doi":"10.1016/j.mri.2025.110602","DOIUrl":"10.1016/j.mri.2025.110602","url":null,"abstract":"<div><h3>Objective</h3><div>To explore the value of time-dependent diffusion MRI(Td-dMRI) in predicting the expression status of cytokeratin 19(CK19) in hepatocellular carcinoma(HCC) before surgery.</div></div><div><h3>Materials and methods</h3><div>Prospective inclusion of 72 HCC patients confirmed by surgical pathology (43 CK19-negative and 29 CK19-positive). All patients underwent time-dependent diffusion MRI (Td-dMRI) using a 3.0 T MR scanner before surgery, and quantitative parameters were calculated. Clinical data and MRI features of the patients were collected. Using univariate and multivariate logistic regression analysis to identify the risk factors for CK19 positive expression and establish a predictive model. The diagnostic performance of the model was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration analysis.</div></div><div><h3>Results</h3><div>CK19-positive HCC exhibited significantly lower d and higher cellularity compared to CK19-negative HCC. CK19-positive HCC demonstrated significantly higher proportions of AFP (&gt;200 ng/ml), CEA (&gt;5 ng/ml), arterial phase rim enhancement, peritumoral hypointensity on hepatobiliary phase, peritumoral arterial hyperenhancement, and intratumoral necrosis/hemorrhage than CK19-negative HCC. Univariate and multivariate logistic regression analyses identified cellularity, AFP (&gt;200 ng/ml), arterial phase rim enhancement, and peritumoral hypointensity on hepatobiliary phase as independent predictors of CK19 positivity. The combined model incorporating these four factors achieved an AUC of 0.889 (95 % CI: 0.809–0.968), with a sensitivity of 82.8 % and specificity of 86.0 %.</div></div><div><h3>Conclusions</h3><div>The cellularity value based on Td-dMRI was a potential quantitative biomarker for predicting CK19-positive HCC.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110602"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145850324","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":"Lenz effect in conductive nonmagnetic objects moved in MRI environments","authors":"Alessandro Arduino ,&nbsp;Oriano Bottauscio ,&nbsp;Michael Steckner ,&nbsp;Umberto Zanovello ,&nbsp;Luca Zilberti","doi":"10.1016/j.mri.2025.110605","DOIUrl":"10.1016/j.mri.2025.110605","url":null,"abstract":"<div><h3>Purpose:</h3><div>To model and predict the dynamics of conductive nonmagnetic objects moved within the MRI room under the influence of Lenz effect. High frequency motions, like vibrations induced by gradient eddy currents are not taken into account.</div></div><div><h3>Methods:</h3><div>The dynamics are described by an ordinary differential equation and the Lenz effect approximated under the assumption of negligible skin effect. This allows to separate the Lenz effect dependency on the object position and velocity, leading to a simple numerical procedure for objects of any shape.</div></div><div><h3>Results:</h3><div>The proposed model and numerical procedure were validated with experimental data recording the rotation of an aluminium plate falling inside a 1.5 T MRI scanner. The model was also applied for studying the translation of an aluminium plate pushed with constant force towards the MRI bore through the fringe field.</div></div><div><h3>Conclusion:</h3><div>The collected results showed that it is possible to obtain accurate predictions of motion in the presence of Lenz effect by neglecting the skin effect while determining the motional eddy currents induced in the metallic object.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110605"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880744","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":"Development and validation of a prognostic prediction nomogram incorporating MRI and clinicopathological features in breast cancer patients after neoadjuvant chemotherapy","authors":"Shuluan Chen ,&nbsp;Shunan Che ,&nbsp;Mengying Yang ,&nbsp;Yufei Chen ,&nbsp;Yuan Tian ,&nbsp;Kun Ma ,&nbsp;Sicong Wang ,&nbsp;Jing Li","doi":"10.1016/j.mri.2025.110606","DOIUrl":"10.1016/j.mri.2025.110606","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to develop and validate a prognostic nomogram integrating baseline MRI and clinicopathological features to predict disease-free survival (DFS) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC).</div></div><div><h3>Materials and methods</h3><div>A retrospective cohort of 402 invasive breast cancer patients who underwent pre-treatment MRI, NAC, and surgery between January 2014 and December 2021 was analyzed. Patients were randomly assigned to a training group (<em>n</em> = 280) and a validation group (<em>n</em> = 122). Variables were selected via univariate Cox regression and Lasso-Cox analyses, with significant factors used to construct nomogram models. The clinicopathological, baseline MRI and combined models were constructed. Model performance was assessed using the area under the curve (AUC), concordance index (C-index), and calibration curves. A risk score derived from the combined model facilitated stratification into high- and low-risk groups, with log-rank test used for survival comparison.</div></div><div><h3>Results</h3><div>Key predictors in the clinicopathological model included clinical T stage, pathological complete response (pCR) in primary tumor, pCR in axillary lymph nodes, and lymphovascular invasion. MRI-based predictors included multifocal or multicentric lesions, subcutaneous edema, and ipsilateral suspicious internal mammary lymph nodes. The combined model outperformed the clinicopathological (training C-index = 0.67, validation C-index = 0.754) and baseline MRI models (training C-index = 0.665, validation C-index = 0.605), achieving C-indices of 0.706 and 0.719 in the training and validation groups, respectively. A risk score cut-off of −0.35 effectively stratified patients into high- and low-risk groups.</div></div><div><h3>Conclusion</h3><div>This combined nomogram integrating clinicopathological and MRI features offers improved predictive accuracy for DFS in breast cancer patients after NAC, enabling enhanced risk stratification and individualized follow-up strategies.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110606"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145878664","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":"Repeatability and reproducibility of maximum diameter measurements of prostate lesions on MRI with repositioning and variation of imaging sequences: A test-retest study","authors":"Kevin Sun Zhang ,&nbsp;Philip Alexander Glemser ,&nbsp;Christian Jan Oliver Neelsen ,&nbsp;Markus Wennmann ,&nbsp;Lukas Thomas Rotkopf ,&nbsp;Nils Netzer ,&nbsp;Clara Meinzer ,&nbsp;Thomas Hielscher ,&nbsp;Vivienn Weru ,&nbsp;Magdalena Görtz ,&nbsp;Albrecht Stenzinger ,&nbsp;Markus Hohenfellner ,&nbsp;Heinz-Peter Schlemmer ,&nbsp;David Bonekamp","doi":"10.1016/j.mri.2025.110578","DOIUrl":"10.1016/j.mri.2025.110578","url":null,"abstract":"<div><h3>Objectives</h3><div>To assess variability of maximum diameter measurements of prostate lesions in MRI assessing patient repositioning, rater and sequence effects.</div></div><div><h3>Methods</h3><div>Forty-two patients were included retrospectively, who received a clinical bi−/multiparametric prostate MRI examination and agreed to have the T2-weighted (T2WI) and diffusion weighted-imaging (DWI) sequences scanned twice. Maximum diameter measurements of prostate lesions mentioned in the clinical radiologist reports were performed by four readers in multiple reading sessions for determination of inter-sequence (between two DWI sequences), inter-scan (between clinical and additional scan), intra-rater and inter-rater variability. The primary calculated metrics were the repeatability and reproducibility coefficient (RC/RDC), including pooled RC/RDC.</div></div><div><h3>Results</h3><div>Variability measured by RCs/RDCs was lowest for measurements obtained within the same reading session, with inter-scan RCs up to 5.6 mm/6.5 mm for T2WI/DWI, pooled RCs of 4.8 mm/5.8 mm, respectively, and inter-sequence RDCs of 5.4 mm–5.9 mm, pooled RDC 5.8 mm. Measurements performed in separate reading sessions demonstrated significantly higher variability for both settings in the majority of cases (RCs: up to 10.9 mm/11.7 mm/10.2 mm for T2WI/DWI/inter-sequence, <em>p</em> ≤ 0.002), pooled RCs/RDCs 9.2 mm–9.9 mm. Measurements necessarily generated in different reading sessions, i.e., intra-rater or inter-rater, demonstrated high variability (RCs/RDCs up to 11.4 mm/11.5 mm for T2WI/DWI).</div></div><div><h3>Conclusions</h3><div>Prostate lesion measurements demonstrate considerable variability. When measured in one reading session by one rater, lesion diameter differences below the pooled RCs of 4.8 mm, 95 %-CI [3.9, 5.6] for T2WI and 5.8 mm, 95 %-CI [4.7, 7.1] for DWI should not necessarily assumed to be true biological change, as these differences may result from measurement- or repositioning-based variability alone. Caution needs to be taken assessing size changes.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"127 ","pages":"Article 110578"},"PeriodicalIF":2.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145634519","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}