Magnetic resonance imaging最新文献

{"title":"Quantitative analysis of ureteral jets with dynamic magnetic resonance imaging and a deep-learning approach","authors":"Mingyan Wu ,&nbsp;Wanning Zeng ,&nbsp;Yanbin Li ,&nbsp;Chang Ni ,&nbsp;Jiaying Zhang ,&nbsp;Xiangwei Kong ,&nbsp;Jeff L. Zhang","doi":"10.1016/j.mri.2025.110380","DOIUrl":"10.1016/j.mri.2025.110380","url":null,"abstract":"<div><h3>Objective</h3><div>To develop dynamic MRU protocol that focuses on the bladder to capture ureteral jets and to automatically estimate frequency and duration of ureteral jets from the dynamic images.</div></div><div><h3>Methods</h3><div>Between February and July 2023, we collected 51 sets of dynamic MRU data from 5 healthy subjects. To capture the entire longitudinal trajectory of ureteral jets, we optimized orientation and thickness of the imaging slice for dynamic MRU, and developed a deep-learning method to automatically estimate frequency and duration of ureteral jets from the dynamic images.</div></div><div><h3>Results</h3><div>Among the 15 sets of images with different slice positioning, the positioning with slice thickness of 25 mm and orientation of 30° was optimal. Of the 36 sets of dynamic images acquired with the optimal protocol, 27 sets or 2529 images were used to train a U-Net model for automatically detecting the presence of ureteral jets. On the other 9 sets or 760 images, accuracy of the trained model was found to be 84.9 %. Based on the results of automatic detection, frequency of ureteral jet in each set of dynamic images was estimated as 8.0 ± 1.4 min⁻¹, deviating from reference by −3.3 % ± 10.0 %; duration of each individual ureteral jet was estimated as 7.3 ± 2.8 s, deviating from reference by 2.4 % ± 32.2 %. The accumulative duration of ureteral jets estimated by the method correlated well (with coefficient of 0.936) with the bladder expansion recorded in the dynamic images.</div></div><div><h3>Conclusions</h3><div>The proposed method was capable of quantitatively characterizing ureteral jets, potentially providing valuable information on functional status of ureteral peristalsis.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110380"},"PeriodicalIF":2.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586128","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":"Denoising of 3D magnetic resonance images via edge-enhanced low-rank tensor decomposition","authors":"Li Wang ,&nbsp;Chong Zeng ,&nbsp;Xingtuo Zhang ,&nbsp;Liang Zhao","doi":"10.1016/j.mri.2025.110365","DOIUrl":"10.1016/j.mri.2025.110365","url":null,"abstract":"<div><div>Magnetic Resonance images (MRI) denoising is to obtain high quality image from infectant version. Recently, low-rank tensor (LRT) methods have been developed and attained resounding success in MRI denoising. However, these pure LRT models are incapable of utilizing the comprehensive inherent information of clean MRI. To overcome these drawbacks, we design a novel edge-enhanced low-rank tensor approximation (EELRTA) framework for Rician noise removal. The tensor gradient L0 norm regularization with describing the local structure information is incorporated into the weighted core tensor rank model for improving texture edge preservation. The application of weights can further preserve the potentially useful information distributed on the different core tensor coefficients with different physical meanings. What's more, non-local self-similarity tactic is employed for low-rank sparsity-encourage and enhancing anti-noise capability of EELRTA model. The proposed EELRTA method is tackled by an efficient alternating direction method of multipliers (ADMM). The Experiment results on simulation and multiple sclerosis lesion (MSL) data illustrate that the proposed method can effectively remove noise while reasonably retaining pathological structure information.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110365"},"PeriodicalIF":2.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586125","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":"Assessing reliability and comparability of 4D flow CMR whole heart measurements using retrospective valve tracking: A single-vendor study in the Berlin research network","authors":"Elias Daud ,&nbsp;Ralf Felix Trauzeddel ,&nbsp;Maximilian Müller ,&nbsp;Luc T.W. Vestjens ,&nbsp;Jan Gröschel ,&nbsp;Darian Viezzer ,&nbsp;Thomas Hadler ,&nbsp;Edyta Blaszczyk ,&nbsp;Ning Jin ,&nbsp;Daniel Giese ,&nbsp;Sebastian Schmitter ,&nbsp;Jeanette Schulz-Menger","doi":"10.1016/j.mri.2025.110368","DOIUrl":"10.1016/j.mri.2025.110368","url":null,"abstract":"<div><h3>Introduction</h3><div>This study investigated intracardiac flow dynamics and assessed the comparability and reliability of 4D flow CMR measurements across multiple sites within the Berlin Research Network for Cardiovascular Magnetic Resonance (BER-CMR) using 3D cine phase-contrast imaging with three-directional velocity encoding in a healthy traveling cohort.</div></div><div><h3>Methods</h3><div>In a prospective multi-site cohort study, 20 healthy volunteers underwent CMR at different sites. Quantitative assessment of Forward flow Volume (FFV), Peak (PV) and Mean Velocity (MV) across the heart's valves were conducted using retrospective valve tracking. FFV of the aortic and pulmonary valves, measured via 4D flow CMR, was compared to each other and to Stroke Volume (SV) from cine imaging. Reliability was assessed using scan-rescan tolerance ranges from a single site, with equivalency assumed if other sites' confidence intervals fell within these ranges. Intra- and interobserver analyses evaluated measurement consistency.</div></div><div><h3>Results</h3><div>The final analysis included 19 healthy volunteers. Intersite comparability analysis across all four heart valves revealed a strong reliability for FFV, PV and MV, except for FFV at the mitral valve at two sites and PV at the tricuspid valve at one site. Correlation analysis of SV and FFV of the corresponding ventriculoarterial valves demonstrated good agreement (aortic valve: <em>r</em> = 0.89, <em>P</em> &lt; 0.001; pulmonary valve: <em>r</em> = 0.88, <em>p</em> &lt; 0.001). Inter- and intraobserver analyses yielded good to excellent agreement across all valves (ICC &gt; 0.90, p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>4D flow CMR whole-heart measurements in healthy volunteers were consistent across sites, showing strong agreement despite physiological and technical variability. These findings support future multicenter studies.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110368"},"PeriodicalIF":2.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143573490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A single oscillating waveform-based gradient delay estimation","authors":"Bo Li ,&nbsp;Xiao Liang ,&nbsp;Manuel Taso ,&nbsp;Yulin Chang ,&nbsp;John A. Detre ,&nbsp;Ze Wang","doi":"10.1016/j.mri.2025.110367","DOIUrl":"10.1016/j.mri.2025.110367","url":null,"abstract":"<div><h3>Purpose</h3><div>We present a time efficient method to estimate gradient delay using a single oscillating waveform.</div></div><div><h3>Methods</h3><div>Single oscillating waveform-based gradient delay estimation algorithm (SODA) was proposed. It estimated gradient delays by measuring the relative shifts of echoes acquired at consecutive time points. An acceleration was achieved by a three spin-echo sequence acquiring measurements for all gradient channels within a single excitation. Simulations and phantom experiments were carried out to compare SODA with a reference method. In addition, we monitored the change of the gradient delay over time using an integrated sequence with high gradient amplitude on a 3 T scanner. High-resolution imaging was performed for phantom and in vivo studies to compare images quality with and without gradient delay correction (GDC).</div></div><div><h3>Results</h3><div>Simulations showed no significant difference in gradient delay estimates when comparing SODA with the reference method for noise levels 1 to 5. The phantom results confirmed strong agreements on delay estimates between SODA with the three spin-echo sequence and the reference method with six pulse repetitions. The gradient delays were observed nearly consistent over time for the scanner. For high-resolution imaging, the reconstruction with GDC exhibit sharper and clearer depictions of images structures than reconstruction without GDC.</div><div>Conclusion: SODA can provide accurate gradient delay estimates with short calibration scan time. The three spin-echo sequence can be seamlessly integrated with any host sequence to measure the gradient delay and provide accurate spiral trajectory. It may be a valuable tool for gradient delay correction in spiral imaging.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110367"},"PeriodicalIF":2.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143573486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI as a viable alternative to CT for 3D surgical planning of cavitary bone tumors","authors":"Yooseok Chae ,&nbsp;Giles Michael Cheers ,&nbsp;MinJoo Kim ,&nbsp;Paul Reidler ,&nbsp;Alexander Klein ,&nbsp;Thomas Fevens ,&nbsp;Boris Michael Holzapfel ,&nbsp;Susanne Mayer-Wagner","doi":"10.1016/j.mri.2025.110369","DOIUrl":"10.1016/j.mri.2025.110369","url":null,"abstract":"<div><div>Cavitary bone defects, defined as a volumetric loss of native bone tissue, require accurate preoperative imaging for treatment planning. While CT (computed tomography) has traditionally been the gold standard for segmentation due to its superior resolution of cortical bone, MRI (magnetic resonance imaging) offers unique advantages, particularly in visualizing the soft tissue–bone interface. Furthermore, MRI eliminates the ionizing radiation associated with CT, making it an advantageous alternative, especially in the management of benign and low-grade malignant bone tumors. Despite these advantages, MRI's inherently lower spatial resolution may introduce artifacts, which can complicate segmentation accuracy. This study evaluates the feasibility of MRI as a viable alternative to CT in the preoperative planning of cavitary bone defect treatment. We analyzed CT and MRI scans from 80 patients with benign and locally aggressive primary bone tumors, generating three-dimensional (3D) models through manual segmentation in Mimics, validated using Geomagic Control X. Volumetric differences between the CT- and MRI-derived models were assessed using the Wilcoxon signed-rank test and paired <em>t</em>-test. The mean volumetric difference between MRI and CT scans was 2.68 ± 1.44 %, which was not statistically significant (<em>p</em> = 0.15). Additionally, multiple regression analysis examining sex, age, and diagnosis revealed no significant differences in the 3D model volumes derived from the two imaging modalities (sex: <em>p</em> = 0.51, age: <em>p</em> = 0.98, and diagnosis: <em>p</em> = 0.50). These results support MRI-based segmentation as a reliable, radiation-free alternative to CT, particularly when precise delineation of soft tissue boundaries is critical for surgical planning.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110369"},"PeriodicalIF":2.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143573495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blood‐oxygenation-level-dependent (BOLD) MRI responses to CO2 and O2 inhalation in brain gliomas","authors":"Oluwateniola Akinwale ,&nbsp;Yang Li ,&nbsp;Peiying Liu ,&nbsp;Zhiyi Hu ,&nbsp;Xirui Hou ,&nbsp;Shanshan Jiang ,&nbsp;Doris D. Lin ,&nbsp;Jay J. Pillai ,&nbsp;Hanzhang Lu","doi":"10.1016/j.mri.2025.110364","DOIUrl":"10.1016/j.mri.2025.110364","url":null,"abstract":"<div><h3>Purpose</h3><div>Cerebrovascular abnormalities are intricately involved in gliomas. While static cerebrovascular properties such as cerebral blood flow, volume, and permeability have been extensively studied, dynamic vascular parameters have not been fully understood. This study aimed to characterize the vascular responses to CO₂ and O₂ inhalation in brain gliomas.</div></div><div><h3>Methods</h3><div>In 15 glioma patients, concomitant CO₂ and O₂ inhalation was applied while BOLD MR images were continuously acquired for nine minutes, resulting in the measurement of O₂-reactivity, CO₂-reactivity, and bolus arrival time (BAT). Vascular parameters were compared between the tumor regions and contralateral healthy tissue using Student <em>t-</em>tests. The dependence of vascular parameters on glioma grade, glioma subtypes, and molecular biomarkers were assessed using a multiple linear regression.</div></div><div><h3>Results</h3><div>Visual inspection suggested that reliable O₂-reactivity, CO₂-reactivity, and BAT maps could be obtained in every patient. Compared to the contralateral healthy tissue, glioma regions on average revealed a diminished O₂-reactivity (<em>p</em> &lt; 0.001) and CO₂-reactivity (<em>p</em> &lt; 0.001), but a lengthened BAT (<em>p</em> &lt; 0.001). Intra-tumoral heterogeneity in the vascular parameters between core and periphery was also observed. Astrocytomas had a lower CO₂-reactivity (<em>p</em> = 0.014) and a longer BAT (<em>p</em> = 0.012) relative to oligodendrogliomas. Glioma grade had no association with O₂-reactivity, CO₂-reactivity, or BAT. Patients who lost ATRX expression had a lower CO₂- and O₂-reactivity (<em>p</em> = 0.005 and <em>p</em> = 0.035) compared to patients who retained ATRX expression.</div></div><div><h3>Conclusions</h3><div>Gliomas are associated with abnormal CO₂- and O₂-reactivity measured with MRI. These dynamic parameters may provide new insights into the vascular pathophysiology in gliomas.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110364"},"PeriodicalIF":2.1,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536842","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":"Tissue tracking analysis and left ventricular outflow tract obstruction in patients with hypertrophic cardiomyopathy","authors":"Pablo Martínez-Vives ,&nbsp;Alberto Cecconi ,&nbsp;Alberto Vera ,&nbsp;Beatriz López-Melgar ,&nbsp;Ancor Sanz-García ,&nbsp;Dafne Viliani ,&nbsp;María Teresa Nogales-Romo ,&nbsp;Susana Hernandez Muñiz ,&nbsp;María José Olivera ,&nbsp;Paloma Caballero ,&nbsp;Luis Jesús Jiménez-Borreguero ,&nbsp;Fernando Alfonso","doi":"10.1016/j.mri.2025.110363","DOIUrl":"10.1016/j.mri.2025.110363","url":null,"abstract":"<div><div>Hypertrophic cardiomyopathy (HCM) is the most frequent inherited cardiomyopathy in adults and may be associated with limiting symptoms and adverse clinical evolution, especially in the obstructive forms. Cardiac magnetic resonance (CMR) is a key technique to accurately diagnose the condition and tissue tracking strain analysis, a promising new tool to better identify and understand its mechanisms. We sought to investigate the association of tissue tracking CMR deformation parameters with obstructive HCM forms. CMR deformation parameters were evaluated in a cohort of 38 obstructive and 88 non-obstructive HCM patients. Longitudinal time to peak strain (cutoff value of ≥400 ms) emerged as the best predictor of obstruction after adjusting for left ventricular ejection fraction, betablocker and calcium-channel antagonist active therapies, and corrected by heart rate (adjusted odds ratio 4.48; 95 % confidence interval 1.27–15.85; <em>p</em> = 0.020). In conclusion, time to peak strain is independently related to the presence of LVOT obstruction in patients with HCM, suggesting a delayed deformation in these patients and potentially identifying obstructive gradient effects on the HOCM patients' left ventricle. A threshold of longitudinal time to peak strain of &gt;/≤ 400 ms emerges as a valuable predictor of LVOT obstruction.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"119 ","pages":"Article 110363"},"PeriodicalIF":2.1,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531718","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":"Corrigendum to “Spatial-frequency aware zero-centric residual unfolding network for MRI reconstruction” [Journal Title volume (year) Start page–End page/Article Number Volume 117, April 2025, 110334]","authors":"Yupeng Lian ,&nbsp;Zhiwei Liu ,&nbsp;Jin Wang ,&nbsp;Shuai Lu","doi":"10.1016/j.mri.2025.110359","DOIUrl":"10.1016/j.mri.2025.110359","url":null,"abstract":"","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"118 ","pages":"Article 110359"},"PeriodicalIF":2.1,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MHWT: Wide-range attention modeling using window transformer for multi-modal MRI reconstruction","authors":"Qiuyi Han,&nbsp;Hongwei Du","doi":"10.1016/j.mri.2025.110362","DOIUrl":"10.1016/j.mri.2025.110362","url":null,"abstract":"<div><div>The Swin Transformer, with its window-based attention mechanism, demonstrates strong feature modeling capabilities. However, it struggles with high-resolution feature maps due to its fixed window size, particularly when capturing long-range dependencies in magnetic resonance image reconstruction tasks. To overcome this, we propose a novel multi-modal hybrid window attention Transformer (MHWT) that introduces a retractable attention mechanism combined with shape-alternating window design. This approach expands attention coverage while maintaining computational efficiency. Additionally, we employ a variable and shifted window attention strategy to model both local and global dependencies more flexibly. Improvements to the Transformer encoder, including adjustments to normalization and attention score computation, enhance training stability and reconstruction performance. Experimental results on multiple public datasets show that our method outperforms state-of-the-art approaches in both single-modal and multi-modal scenarios, demonstrating superior image reconstruction ability and adaptability. The code is publicly available at <span><span>https://github.com/EnieHan/MHWT</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"118 ","pages":"Article 110362"},"PeriodicalIF":2.1,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483631","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":"Predicting telomerase reverse transcriptase promoter mutation status in glioblastoma by whole-tumor multi-sequence magnetic resonance texture analysis","authors":"Bin Zhang ,&nbsp;Qing Zhou ,&nbsp;Caiqiang Xue ,&nbsp;Peng Zhang ,&nbsp;Xiaoai Ke ,&nbsp;Yige Wang ,&nbsp;Yuting Zhang ,&nbsp;Liangna Deng ,&nbsp;Mengyuan Jing ,&nbsp;Tao Han ,&nbsp;Fengyu Zhou ,&nbsp;Wenjie Dong ,&nbsp;Junlin Zhou","doi":"10.1016/j.mri.2025.110360","DOIUrl":"10.1016/j.mri.2025.110360","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to determine the feasibility of preoperative multi-sequence magnetic resonance texture analysis (MRTA) for predicting TERT promoter mutation status in IDH-wildtype glioblastoma (IDHwt GB).</div></div><div><h3>Methods</h3><div>The clinical and imaging data of 111 patients with IDHwt GB at our hospital between November 2018 and June 2023 were retrospectively analyzed as the training set, and those of 23 patients with IDHwt GB between July 2023 and November 2023 were interpreted as the validation set. We used molecular sequencing results to classify the training set into TERT promoter mutation and wildtype groups. Textural features of the whole-tumor volume were extracted, including T2-weighted imaging (T2WI), T2-fluid-attenuated inversion recovery, apparent diffusion coefficient (ADC) map, and contrast-enhanced T1-weighted imaging (CE-T1). All textural features were obtained using open-source pyradiomics. After feature selection, logistic regression was used to build prediction models, and a nomogram was generated. Finally, the model was validated using validation cohort.</div></div><div><h3>Results</h3><div>The CE-T1_Model (AUC 0.704) had a better predictive ability than the T2_Model (AUC 0.684) and ADC_Model (AUC 0.624). The MRI_Combined_Model (CE-T1, T2, and ADC texture features) (AUC 0.780) had a better predictive ability than the Clinical_Model (AUC 0.758). The Combined_Model (CE-T1, T2, ADC texture features, and clinical features) had the best predictive performance (AUC 0.871), with a sensitivity, specificity, and accuracy of 82.60 %, 83.30 %, and 80.18 %, respectively. The AUC, sensitivity, specificity, and accuracy in the validation cohort were 0.775, 86.70 %, 75.00 %, and 69.57 %, respectively.</div></div><div><h3>Conclusions</h3><div>Whole-tumor multi-sequence MRTA can be used as non-invasive quantitative parameters to assist in the preoperative clinical prediction of TERT promoter mutation status in IDHwt GB.</div></div>","PeriodicalId":18165,"journal":{"name":"Magnetic resonance imaging","volume":"118 ","pages":"Article 110360"},"PeriodicalIF":2.1,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465006","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}