Journal of Magnetic Resonance Imaging最新文献

{"title":"Repeatability of Magnetic Resonance Elastography-Derived Mechanical Parameters in Intracranial Meningiomas.","authors":"Jan Saip Aunan-Diop, Ancuta Ioana Friismose, Bo Halle, Christian Bonde Pedersen, Bo Mussmann, Emi Hojo, Ziying Yin, Mathias Just Nortvig, Kerstin Lagerstrand, Frantz Rom Poulsen","doi":"10.1002/jmri.29825","DOIUrl":"https://doi.org/10.1002/jmri.29825","url":null,"abstract":"<p><strong>Background: </strong>Magnetic resonance elastography (MRE) quantifies tissue viscoelasticity, offering insights into intracranial meningiomas. MRE-derived parameters, including the storage modulus (G') and the magnitude of the complex modulus (|G*|), may aid neurosurgical planning, but their repeatability remains unexplored in brain tumors.</p><p><strong>Purpose/hypothesis: </strong>To evaluate the repeatability of G' and |G*| in meningiomas, the influence of tumor volume and spatial location on variability, and ranking stability across paired elastograms.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population/subjects: </strong>Seventeen paired MRE scans from 16 patients with meningiomas (mean age 64 ± 12 years, 10 females) scheduled for resection.</p><p><strong>Field strength/sequence: </strong>MRE was performed on a 3 T system using a single-shot spin-echo echo-planar imaging (SE-EPI) sequence.</p><p><strong>Assessment: </strong>Tumors were segmented on contrast-enhanced T1-weighted images; distance and volume metrics were extracted. Regions of interest were applied to G' and |G*| elastograms. Repeatability was evaluated using the coefficient of variation (CV%). Ranking stability was assessed by comparing median G' or |G*| values.</p><p><strong>Statistical tests: </strong>The difference in CV% was assessed using the Wilcoxon signed rank test. Linear regression assessed the effect of tumor volume and distance from the external occipital protuberance (EOP) on CV%. The Wilcoxon signed-rank test evaluated ranking stability and scan-rescan CV%. Statistical significance was defined as p < 0.05.</p><p><strong>Results: </strong>The difference in CV% G' (14.89 ± 12.32) and CV% |G*| (13.88 ± 12.60) was not significant (p = 0.61). Tumor volume inversely correlated with CV% (G': β = -0.75 |G*|: β = -0.59). Tumor-EOP distance had no significant effect (G': p = 0.58, |G*|: p = 0.23). Rankings remained stable (G': p = 0.82, |G*|: p = 0.71).</p><p><strong>Data conclusion: </strong>MRE-derived parameters are repeatable in intracranial meningiomas, with G' and |G*| being equally stable. Larger tumors yielded more consistent estimates. Preserved ranking stability supports the use of MRE in preoperative planning.</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":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078523","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":"Stroke Mechanism Subtypes and Prognosis in Patients With Symptomatic Intracranial Atherosclerosis Based on Multiparametric MRI.","authors":"Wenqiao Zheng, Hua Wei, Fan Bai, Yichun Qu, Zhichang Fan, Yan Li, Bin Wang, Yongfang Wang, Le Wang, Xiaochun Wang","doi":"10.1002/jmri.29813","DOIUrl":"https://doi.org/10.1002/jmri.29813","url":null,"abstract":"<p><strong>Background: </strong>Different stroke mechanisms present with distinct imaging characteristics and prognosis. Multiparametric MRI can characterize these variations and may contribute to stroke secondary prevention.</p><p><strong>Purpose: </strong>To investigate the stroke mechanism subtypes and prognosis in patients with symptomatic intracranial atherosclerosis using multiparametric MRI.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Two hundred and seventeen ischemic stroke patients (147 males; age 55.5 ± 11.7 years) with intracranial atherosclerosis.</p><p><strong>Field strength/sequence: </strong>3-T, dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI); High-resolution vessel wall imaging (HR-VWI): three-dimensional (3D) T1-weighted Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE) and contrast-enhanced T1-SPACE.</p><p><strong>Assessment: </strong>All patients underwent multiparametric MRI within 7 days of stroke symptom onset. The stroke mechanisms included branch occlusive disease (BOD), artery-to-artery embolism, hypoperfusion, and mixed mechanisms. The following imaging characteristics were assessed by three radiologists independently. HR-VWI plaque characteristics included plaque area, lipid area, lipid ratio, occlusive thrombus, degree of stenosis, plaque burden, enhancement ratio, remodeling index, and intraplaque hemorrhage (IPH). The mean transit time-Alberta Stroke Program Early Computed Tomography score (MTT-ASPECTS) based on DSC-PWI was used to evaluate perfusion impairment. During a median follow-up period of 15 months, the correlation between different stroke mechanisms and prognosis was analyzed.</p><p><strong>Statistical tests: </strong>Chi-squared or Fisher's exact, Kruskal-Wallis H-tests, multivariate logistic regression, and Kaplan-Meier curves. All p-values were corrected by Bonferroni correction, and p-values < 0.05 were considered statistically significant.</p><p><strong>Results: </strong>Mixed mechanism was the most common subtype (32.7%). Significant differences were observed in perfusion impairment, degree of stenosis, plaque burden, enhancement ratio, IPH, and remodeling among stroke mechanisms. Of these characteristics, MTT-ASPECTS (odds ratio [OR] 0.70, 95% CI 0.562-0.863) and IPH (OR 2.30, 95% CI 1.042-5.051) were significantly associated with non-BOD mechanisms. Hypoperfusion mechanism was associated with a higher risk of stroke recurrence during a median follow-up of 15 months (hazard ratio 3.97, 95% CI 1.43-11.03).</p><p><strong>Data conclusion: </strong>Multiparametric MRI may reveal differences in imaging characteristics among stroke mechanisms. Hypoperfusion may be associated with an increased risk of stroke recurrence.</p><p><strong>Evidence level: </strong>3. Technical Efficacy: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078528","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":"\"MR Fingerprinting for Imaging Brain Hemodynamics and Oxygenation\".","authors":"T Coudert, A Delphin, A Barrier, E L Barbier, B Lemasson, J M Warnking, T Christen","doi":"10.1002/jmri.29812","DOIUrl":"https://doi.org/10.1002/jmri.29812","url":null,"abstract":"<p><p>Over the past decade, several studies have explored the potential of magnetic resonance fingerprinting (MRF) for the quantification of brain hemodynamics, oxygenation, and perfusion. Recent advances in simulation models and reconstruction frameworks have also significantly enhanced the accuracy of vascular parameter estimation. This review provides an overview of key vascular MRF studies, emphasizing advancements in geometrical models for vascular simulations, novel sequences, and state-of-the-art reconstruction techniques incorporating machine learning and deep learning algorithms. Both pre-clinical and clinical applications are discussed. Based on these findings, we outline future directions and development areas that need to be addressed to facilitate their clinical translation. EVIDENCE LEVEL: N/A. TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078517","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":"Anthropomorphic Head MRI Phantoms: Technical Development, Brain Imaging Applications, and Future Prospects.","authors":"Lijun Deng, Ting Wu, Fei Wu, Lang Xiong, Hui Yang, Qingping Chen, Yupeng Liao","doi":"10.1002/jmri.29818","DOIUrl":"https://doi.org/10.1002/jmri.29818","url":null,"abstract":"<p><p>Compared to traditional phantoms, anthropomorphic  head phantoms offer greater advantages in mimicking real human experimental scenarios. Thanks to continuous advancements in 3D printing technology and ongoing development of tissue-mimicking materials, significant achievements have been made in the production of anthropomorphic head phantoms. A comprehensive narrative review was conducted using Google Scholar as the primary database for literature retrieval. Specific search terms were employed to identify studies on anthropomorphic head MRI phantoms, excluding digital phantoms or animal models. Retrieved literature was then categorized and organized based on the physical properties simulated by phantoms, summarizing preparation methods for anthropomorphic head phantoms and presenting their application examples in MRI. There are two manufacturing options for producing anthropomorphic head phantoms with 3D printing, namely direct and indirect manufacturing, both demonstrating unique merits. Based on physical properties simulated by phantoms, quantitative comparisons between measured values and actual values were conducted, revealing notable discrepancies between them. During phantom fabrication, challenges such as long-term stability, bubble formation, and susceptibility-matching issues are identified. This paper also summarizes optimized strategies addressing these problems. Future head phantoms will achieve multidimensional simulations, replicating not only anatomical structures and physical properties but also physiological activities and functional behaviors. This advancement aims to accelerate the clinical translation of novel, efficient imaging technologies and methodologies. EVIDENCE LEVEL: 5. TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143971530","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 Diagnostic Value of Contrast-Enhanced Vessel Wall MRI for Diagnosing Neuropsychiatric Systemic Lupus Erythematosus.","authors":"Satoru Ide, Yuya Fujita, Yu Murakami, Koichiro Futatsuya, Yuta Yoshimatsu, Jun Tsukamoto, Haruka Oku, Toshihiro Sakamoto, Yoshiya Tanaka, Takatoshi Aoki","doi":"10.1002/jmri.29810","DOIUrl":"https://doi.org/10.1002/jmri.29810","url":null,"abstract":"<p><strong>Background: </strong>Imaging biomarkers for neuropsychiatric systemic lupus erythematosus (NPSLE) are highly needed, and intracranial contrast-enhanced vessel wall imaging (CE-VWI) can potentially detect cerebral vessel wall abnormalities in lupus.</p><p><strong>Purpose: </strong>To evaluate the diagnostic value of CE-VWI in differentiating NPSLE from non-NPSLE.</p><p><strong>Study type: </strong>Cross-sectional, retrospective.</p><p><strong>Subjects: </strong>Forty-seven patients with NPSLE (mean age, 44.3 years ± 13.2 standard deviation [SD], 40 females, 85%) and 52 patients without NPSLE (mean age, 43.0 years ± 16.5 SD, 49 females, 89%). The non-NPSLE group consisted of SLE patients who had no NP symptoms or were diagnosed with comorbidities from other diseases.</p><p><strong>Field strength/sequence: </strong>3-T, three-dimensional (3D) contrast-enhanced vessel wall imaging (3D-T1-CUBE).</p><p><strong>Assessment: </strong>Vessel wall lesions (VWLs) were visually assessed across 15 segments, from the internal carotid artery and basilar artery to A1-A2 for ACA, M1-M2 for MCA, and P1-P2 for PCA, for wall thickening and enhancement. Conventional MRI and MR angiography were also used to assess infarction, hemorrhage, atrophy, and arterial stenosis.</p><p><strong>Statistical tests: </strong>Paired comparisons using the chi-square and unpaired t-tests were followed by multivariate logistic regression analysis incorporating factors with significant group differences to identify associations with NPSLE. Receiver operating characteristic (ROC) analysis with the area under the curve (AUC) assessed the diagnostic performance of CE-VWI. A p-value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>The NPSLE group showed a significantly higher number of contrast-enhancing VWLs (CE-VWLs; median [interquartile range]: 2 [0.5-4] vs. 0 [0-1]). Cerebral infarctions and arterial stenotic lesions were more common in NPSLE, occurring in 12 (26%) vs. 2 (3%) and 19 (40%) vs. 5 (9%) of patients, respectively. A multivariate logistic regression analysis identified CE-VWLs as the sole significant factor associated with NPSLE (odds ratio, 1.97; 95% confidence interval, 1.23-3.16). The ROC analysis showed an AUC of 0.78 for CE-VWLs, with a sensitivity of 60% and a specificity of 87%.</p><p><strong>Data conclusion: </strong>CE-VWI may demonstrate high specificity and good diagnostic performance in differentiating NPSLE from non-NPSLE.</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":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143986110","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":"Assessment of Age-Related Microstructure Changes in Thigh Skeletal Muscle Based on Neurite Orientation Dispersion and Density Imaging","authors":"Yiou Wang MS,&nbsp;Yiqiong Yang MS,&nbsp;Ziru Qiu MS,&nbsp;Yanjun Chen MD, PhD,&nbsp;Xinru Zhang MS,&nbsp;Qianyi Qiu MS,&nbsp;Yi Yang MS,&nbsp;Qinglin Xie MS,&nbsp;Xinyuan Zhang PhD,&nbsp;Xiaodong Zhang MD, PhD","doi":"10.1002/jmri.29816","DOIUrl":"https://doi.org/10.1002/jmri.29816","url":null,"abstract":"<p>DWI and Microstructure Parameters Mapping of the Thigh Skeletal Muscles of Three Volunteers from Different Age Groups. By Wang et al. (2601-2614)\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"61 6","pages":"spcone"},"PeriodicalIF":3.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.29816","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143930415","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":"Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.","authors":"Linyu Wu, Chen Gao, Ting Wu, Ning Kong, Ziwei Zhang, Jie Li, Li Fan, Maosheng Xu","doi":"10.1002/jmri.29802","DOIUrl":"https://doi.org/10.1002/jmri.29802","url":null,"abstract":"<p><p>The low proton density and high signal decay rate of pulmonary tissue have previously hampered the application of magnetic resonance imaging (MRI) in the clinical evaluation of lung disorders. With the continuing technical advances in scanners, coils, pulse sequences, and image postprocessing, pulmonary MRI can provide structural and functional information with faster imaging speed and improved image quality, which has shown potential to be an alternative and complementary diagnostic method to chest computed tomography (CT). Compared with CT, MRI does not involve ionizing radiation, making it particularly suitable for pediatric patients, pregnant women, and individuals requiring longitudinal monitoring. This narrative review focuses on recent advances in techniques and clinical applications for pulmonary MRI in lung diseases, including lung parenchymal and pulmonary vascular diseases. Future developments, including artificial intelligence-driven technological optimization and assisted diagnosis, hardware advancements, and clinical biomarkers validation, hold the potential to further enhance the clinical utility of pulmonary MRI. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985926","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":"MRI Assessment of Lung Water Density in Individuals Previously Infected With COVID-19: A Cross-Sectional Study.","authors":"Christopher Keen, Justin Grenier, Peter Šereš, Robert Stobbe, James White, Christian Beaulieu, Rachel Sherrington, Amy Kirkham, D Ian Paterson, Richard Thompson","doi":"10.1002/jmri.29814","DOIUrl":"https://doi.org/10.1002/jmri.29814","url":null,"abstract":"<p><strong>Background: </strong>Lung damage in post-acute COVID-19 is a common clinical finding. Lung water density (LWD) imaging using ultrashort echo time (UTE) MRI with proton-density weighting is sensitive to edema and fibrosis.</p><p><strong>Purpose: </strong>To characterize LWD in COVID-19 survivors, compared with a healthy cohort.</p><p><strong>Study type: </strong>Retrospective cohort.</p><p><strong>Populations: </strong>185 COVID-19 survivors (63 male; age [median (interquartile range, IQR)]: 51 (25-83) years; 160 (66-363) days from COVID-19 infection to MRI) and 109 healthy controls (64 male; age: 52 (27-76) years) with no history of COVID-19 infection.</p><p><strong>Field strength/sequence: </strong>2.89T; Yarnball UTE pulse sequence.</p><p><strong>Assessment: </strong>Free-breathing three-dimensional LWD images were acquired in both cohorts. Clinical demographics (age, sex, body mass index [BMI]), presence of comorbidities (hypertension, dyslipidemia, diabetes, obesity), COVID-19 hospitalization, pulmonary function, six-minute walking distance, and plasma biomarkers were recorded.</p><p><strong>Statistical tests: </strong>Student's t-tests or Mann-Whitney U tests were used to compare lung water metrics between cohorts. The effect of comorbidities was assessed using Kruskal-Wallis tests followed by pairwise Wilcoxon tests with Bonferroni correction. Categorical variables were compared using chi-squared tests. p < 0.05 was considered significant.</p><p><strong>Results: </strong>LWD (median (IQR)), was significantly greater in the post-COVID-19 cohort than in the healthy cohort, 31.3 (6.6)% versus 27.9 (6.5)% in men and 30.3 (7.4)% versus 27.5 (4.9)% in women. 37% of men and 24% of women in the post-COVID-19 cohort had LWD above the healthy cohort 95% confidence limit. Participants with elevated LWD had significantly higher BMI (kg/m²) (32 (5) versus 26 (4) in men, 33 (9) versus 26 (7) in women), incidence of comorbidities (78% vs. 50% in men, 72% vs. 38% in women), rates of COVID-19 hospitalization (52% vs. 23% in men, 38% vs. 18% in women), and elevated CRP (mg/L) (2.2 (3.4) vs. 1.1 (1.4) in men, 1.8 (4.2) vs. 1.2 (2.1) in women).</p><p><strong>Data conclusion: </strong>MRI-derived LWD is elevated in COVID-19 survivors and is related to high BMI, COVID-19 hospitalization, inflammatory plasma biomarkers, and the presence of comorbidities.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143971573","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 Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future.","authors":"Simone Schiaffino, Tianyu Zhang, Ritse M Mann, Katja Pinker","doi":"10.1002/jmri.29807","DOIUrl":"https://doi.org/10.1002/jmri.29807","url":null,"abstract":"<p><p>This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and Gemini, into breast imaging. LLMs excel in understanding, processing, and generating human-like text, with potential applications ranging widely from decision-making to radiology reporting support. LLMs show promise in addressing current critical challenges, including rising demands for imaging services concurrent with an increasing shortage in the radiologist workforce. Their ability to integrate clinical guidelines and generate standardized, evidence-based reports has the potential to improve diagnostic consistency and reduce inter-reader variability. Emerging multimodal capabilities further extend their utility, enabling the integration of textual and visual data for tasks such as tumor classification and decision-making. Despite these advancements, significant challenges remain. LLMs often suffer from limitations such as hallucinations, biases in training datasets, and domain-specific knowledge gaps. These issues can affect their reliability, particularly in nuanced tasks like Breast Imaging Reporting and Data System categorization and multimodal image assessment. Moreover, ethical concerns about data privacy, biased outputs, and regulatory compliance must be addressed before effective deployment in the clinical setting. Current studies suggest that while LLMs can complement human expertise, their performance still lags behind that of radiologists in key areas, particularly in tasks requiring complex medical reasoning or direct image analysis. Looking ahead, LLMs are poised to play a crucial role in breast imaging by optimizing workflows, supporting multidisciplinary meetings, and improving patient education. However, their successful integration will depend on proper context training, robust validation, and ethical oversight, with human supervision as a crucial safeguard. EVIDENCE LEVEL: 5. TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022388","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 \"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":"https://doi.org/10.1002/jmri.29809","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-24","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}