Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine最新文献

{"title":"Multicomponent T₂* Analysis of Atherosclerotic Plaque with Ultrashort Echo Time Imaging: A Phantom Study.","authors":"Kotaro Baba, Yuki Kanazawa, Tosiaki Miyati, Masafumi Harada, Mayuka Seguchi, Hiroaki Hayashi, Mitsuharu Miyoshi, Michael Carl","doi":"10.2463/mrms.mp.2024-0066","DOIUrl":"https://doi.org/10.2463/mrms.mp.2024-0066","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate short T₂ components potentially reflecting calcification or other susceptibility-affected tissue components in atherosclerotic plaques, using multicomponent analysis with ultrashort TE (UTE) MRI.</p><p><strong>Methods: </strong>A phantom experiment was conducted using a 4-echo UTE sequence, mimicking the sample as a small amount of calcification found intra-voxel. The phantom included 6 samples containing varying concentrations of hydroxyapatite (calcification) and mayonnaise (lipid-water emulsion). Data acquired from the UTE sequence were compared with those obtained using a conventional multi-echo gradient-echo (mGRE) method.</p><p><strong>Results: </strong>Bi-exponential analysis of UTE data successfully separated short- and long-T₂* components, with ranges of 0.44-4.81 ms and 4.29-24.37 ms, respectively. Short T₂* values derived from UTE showed minor changes with increasing hydroxyapatite concentration. Using bi-exponential analysis of mGRE data, short and long T₂* values ranged from 0.17-0.77 ms and 6.16-39.20 ms, respectively. For mono-exponential fitting of mGRE data, T₂* values ranged from 4.84-38.32 ms. In all datasets, 1/T₂* increased with hydroxyapatite concentration. The signal fraction of short T₂* components in the UTE dataset decreased as hydroxyapatite concentration increased. A clinical scan of 1 patient with an atherosclerotic plaque yielded mean short and long T₂* values of 0.12 ± 0.35 ms and 33.22 ± 17.25 ms, respectively.</p><p><strong>Conclusion: </strong>T₂* analysis using UTE data enabled the separation of mixed calcification and mayonnaise (lipid-water emulsion) within a sample into 2 components and detected short T₂* components that may reflect calcification-related susceptibility effects, without directly indicating calcification. Multicomponent T₂* analysis with UTE-MRI is a promising technique for evaluating calcification and other short T₂* components in atherosclerotic plaques.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144651624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artifact-robust Deep Learning-based Segmentation of 3D Phase-contrast MR Angiography: A Novel Data Augmentation Approach.","authors":"Daiki Tamada, Thekla H Oechtering, Julius F Heidenreich, Jitka Starekova, Eisuke Takai, Scott B Reeder","doi":"10.2463/mrms.tn.2024-0211","DOIUrl":"https://doi.org/10.2463/mrms.tn.2024-0211","url":null,"abstract":"<p><p>This study presents a novel data augmentation approach to improve deep learning (DL)-based segmentation for 3D phase-contrast magnetic resonance angiography (PC-MRA) images affected by pulsation artifacts. Augmentation was achieved by simulating pulsation artifacts through the addition of periodic errors in k-space magnitude. The approach was evaluated on PC-MRA datasets from 16 volunteers, comparing DL segmentation with and without pulsation artifact augmentation to a level-set algorithm. Results demonstrate that DL methods significantly outperform the level-set approach and that pulsation artifact augmentation further improves segmentation accuracy, especially for images with lower velocity encoding. Quantitative analysis using Dice-Sørensen coefficient, Intersection over Union, and Average Symmetric Surface Distance metrics confirms the effectiveness of the proposed method. This technique shows promise for enhancing vascular segmentation in various anatomical regions affected by pulsation artifacts, potentially improving clinical applications of PC-MRA.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144577459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lobular Endocervical Glandular Hyperplasia and Related Glandular Disorders: Current Status of Diagnosis with MR Imaging.","authors":"Ayumi Ohya, Yasunari Fujinaga","doi":"10.2463/mrms.rev.2024-0198","DOIUrl":"10.2463/mrms.rev.2024-0198","url":null,"abstract":"<p><p>Lobular endocervical glandular hyperplasia (LEGH) is a rare benign lesion of the uterine cervix that produces gastric-type mucin. First identified in 1999, LEGH is often misdiagnosed as other glandular lesions, including adenocarcinoma, human papillomavirus (HPV)-independent, gastric-type (GAS), due to similar histopathological features. LEGH is now recognized as a precursor to GAS, a malignancy with poor prognosis. This review explores LEGH's pathological and immunohistochemical characteristics and related glandular lesions, focusing on diagnostic approaches using MRI. MRI has proven essential in distinguishing LEGH from other benign cervical cystic lesions and detecting precursor conditions, such as atypical LEGH, before progression to GAS. A hallmark MRI finding for LEGH is the \"cosmos pattern,\" featuring centrally clustered microcysts surrounded by macrocysts, achieving 95.5% specificity when combined with T1-weighted imaging. Cytology and biopsy improve diagnostic accuracy when imaging results are inconclusive, though obtaining high-quality specimens can be challenging due to lesion location. This article reviews cytological findings, the presence of gastric-type mucin, and MRI features useful for differentiating LEGH from benign non-LEGH lesions, as well as for diagnosing precancerous and malignant conditions. Recent advances in research have led to the recognition that GAS is primarily a solid rather than a cystic lesion, contributing to improved diagnostic accuracy of MRI for GAS. However, some GAS cases and atypical LEGH can still exhibit a cosmos pattern on MRI, similar to LEGH, making differentiation challenging. Therefore, we also discuss a diagnostic strategy integrating MRI findings with cytology and presence or absence of gastric-type mucin.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":"332-342"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263445/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144328245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in Obstetric and Gynecological MR Imaging.","authors":"Tsukasa Saida, Wenchao Gu, Sodai Hoshiai, Toshitaka Ishiguro, Masafumi Sakai, Taishi Amano, Yuta Nakahashi, Ayumi Shikama, Toyomi Satoh, Takahito Nakajima","doi":"10.2463/mrms.rev.2024-0077","DOIUrl":"10.2463/mrms.rev.2024-0077","url":null,"abstract":"<p><p>This review explores the significant progress and applications of artificial intelligence (AI) in obstetrics and gynecological MRI, charting its development from foundational algorithmic techniques to deep learning strategies and advanced radiomics. This review features research published over the last few years that has used AI with MRI to identify specific conditions such as uterine leiomyosarcoma, endometrial cancer, cervical cancer, ovarian tumors, and placenta accreta. In addition, it covers studies on the application of AI for segmentation and quality improvement in obstetrics and gynecology MRI. The review also outlines the existing challenges and envisions future directions for AI research in this domain. The growing accessibility of extensive datasets across various institutions and the application of multiparametric MRI are significantly enhancing the accuracy and adaptability of AI. This progress has the potential to enable more accurate and efficient diagnosis, offering opportunities for personalized medicine in the field of obstetrics and gynecology.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":"354-365"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263448/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward Clinical Implementation of Magnetic Resonance Imaging for Placental Function.","authors":"Yuki Himoto, Koji Fujimoto, Yoshitsugu Chigusa, Atsushi Yoshida, Sachiko Minamiguchi, Aki Kido, Yuji Nakamoto","doi":"10.2463/mrms.rev.2024-0154","DOIUrl":"10.2463/mrms.rev.2024-0154","url":null,"abstract":"<p><p>Placental insufficiency is a critical condition in perinatal medicine, clinically manifesting as fetal growth restriction or preeclampsia. In addition to ultrasound and Doppler velocimetry, MRI has been assessed intensively for its potential to evaluate placental function directly. Several methods investigated to date include anthropometry, visual assessments using T2-weighted images, and quantitative evaluations based on T2 values, hypoxia indicators (T2* values and blood oxygenation level-dependent imaging), and perfusion metrics (intravoxel incoherent motion and arterial spin labeling). Anthropometry and visual assessments are easily implemented clinically because they require no specific technique or post-processing. By contrast, quantitative approaches provide objective numerical indicators, making them promising imaging biomarkers. Despite their potential, translating these methods into clinical practice presents challenges, especially for quantitative techniques, because of limited availability, lack of standardization, and inadequate clinician awareness. This review was conducted to overview the clinical aspects of placental insufficiency, summarize the anthropometry, visual assessments, and quantitative methods reported, and highlight the latest advancements. It also presents discussion of related challenges and future prospects for clinical implementation.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":"343-353"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abbreviated and Ultrafast Dynamic Contrast-enhanced (DCE) MR Imaging.","authors":"Ken Yamaguchi, Kanto Ichinohe, Mizuki Iyadomi, Kazuya Fujiki, Yutaka Yoshinaga, Ryoko Egashira, Takahiko Nakazono","doi":"10.2463/mrms.rev.2024-0158","DOIUrl":"10.2463/mrms.rev.2024-0158","url":null,"abstract":"<p><p>The early detection and treatment of breast cancer is extremely important for extending patients' outcomes. Breast MRI has high sensitivity for the detection of breast cancer and plays an important role in breast cancer diagnosis and treatment, but conventional dynamic contrast-enhanced (DCE) MRI may be too time-consuming for breast cancer screening purposes. Abbreviated MRI is a technique that can be applied within a short time, as usually only the pre-contrast and first post-contrast images from the dynamic study or additional T2-weighted imaging are used. Abbreviated MRI may thus be suitable for breast cancer screening. In addition, its diagnostic performance for differentiating benign and malignant breast lesions is superior to that of breast tomosynthesis and comparable to that of conventional DCE MRI. The usefulness of abbreviated MRI for patients with a history of breast cancer and in clinical settings has been described, but the specificity of abbreviated DCE MRI is slightly lower than that of conventional DCE MRI. Ultrafast DCE MRI is a technique that obtains kinetic information by capturing multiple time phases in a short time scan in the very early phase after the injection of contrast material. Various parameters, including the maximum slope and time to enhancement can be used to evaluate kinetic information. Based on this kinetic information, ultrafast DCE MRI can differentiate between benign and malignant breast lesions. Since background parenchymal enhancement (BPE) is weak in the very early phase after a contrast media injection, ultrafast DCE MRI is also useful for identifying lesions in patients with marked BPE on conventional DCE MRI. In addition, ultrafast DCE MRI is useful for predicting the prognostic marker status of breast cancer, assessing the effectiveness of neoadjuvant therapy, examining MRI-detected lesions before surgery, and morphological assessments.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":"315-331"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263449/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143569237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Breast Diffusion-weighted MR Imaging: Current Applications, Insights from Screening, and Future Directions.","authors":"Nariya Cho","doi":"10.2463/mrms.rev.2024-0142","DOIUrl":"10.2463/mrms.rev.2024-0142","url":null,"abstract":"<p><p>Breast diffusion weighted MR imaging (DWI) is increasingly used, because it is fast and easy to be added in clinical protocol without contrast agent and provides information of cellularity or tissue microstructure. This review article explores the principles of breast DWI, the standardization of acquisition techniques, and its current clinical applications. We emphasize its role in differentiating benign from malignant lesions, reducing unnecessary biopsies, and discuss the evidence supporting DWI as a potential standalone screening tool. Prognostic indicators derived from DWI parameters and its utility in monitoring treatment responses are discussed. Finally, we look to the future, discussing emerging techniques. This review provides a comprehensive overview of breast DWI's current status and future potential.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":"300-314"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263447/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143384552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Machine Learning to Breast MR Imaging.","authors":"Roberto Lo Gullo, Vivien van Veldhuizen, Tina Roa, Panagiotis Kapetas, Jonas Teuwen, Katja Pinker","doi":"10.2463/mrms.rev.2025-0021","DOIUrl":"10.2463/mrms.rev.2025-0021","url":null,"abstract":"<p><p>The demand for breast imaging services continues to grow, driven by expanding indications in breast cancer diagnosis and treatment. This increasing demand underscores the potential role of artificial intelligence (AI) to enhance workflow efficiency as well as to further unlock the abundant imaging data to achieve improvements along the breast cancer pathway. Although AI has made significant advancements in mammography and digital breast tomosynthesis, with commercially available computer-aided detection (CAD systems) widely used for breast cancer screening and detection, its adoption in breast MRI has been slower. This lag is primarily attributed to the inherent complexity of breast MRI examinations and also hence the more limited availability of large, well-annotated publicly available breast MRI datasets. Despite these challenges, interest in AI implementation in breast MRI remains strong, fueled by the expanding use and indications for breast MRI. This article explores the implementation of AI in breast MRI across the breast cancer care pathway, highlighting its potential to revolutionize the way we detect and manage breast cancer. By addressing current challenges and examining emerging AI applications, we aim to provide a comprehensive overview of how AI is reshaping breast MRI and improving outcomes for patients.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":"279-299"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263444/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144304138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-spatial-resolution Hepatobiliary Phase Imaging Using An Optimized Integrated Combination of Parallel Imaging and Compressed Sensing Technique.","authors":"Yusuke Tsuji, Nobuyuki Kawai, Yoshifumi Noda, Yukichi Tanahashi, Shoma Nagata, Kimihiro Kajita, Hiroki Kato, Satoshi Goshima, Kei Yamada, Masayuki Matsuo","doi":"10.2463/mrms.mp.2024-0162","DOIUrl":"https://doi.org/10.2463/mrms.mp.2024-0162","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the feasibility of high-spatial-resolution hepatobiliary phase (HBP) imaging using optimized integrated combination with the compressed sensing and parallel imaging technique (Compressed SENSE).</p><p><strong>Methods: </strong>Sixty consecutive participants underwent liver MRI and breath-hold HBP imaging using enhanced T1 high-resolution isotropic volume excitation (eTHRIVE; SENSE factor, 1.7; slice thickness/gap, 4/-2 mm; and acquisition time, 20s), eTHRIVE with Compressed SENSE (CS-eTHRIVE_4mm; C SENSE factor, 3.45; slice thickness/gap, 4/-2 mm; and acquisition time, 10s), and thin-slice eTHRIVE with Compressed SENSE (CS-eTHRIVE_2mm; C SENSE factor, 3.45; slice thickness/gap, 2/0 mm; and acquisition time, 20s). The signal intensity ratio (SIR) and signal-to-noise ratio (SNR) of the liver on each HBP image were calculated. The image quality and conspicuity of hypointense nodules on HBP images were qualitatively assessed. Then, the sensitivity for detecting hypointense nodules was calculated. The quantitative and qualitative parameters of three HBP images were compared.</p><p><strong>Results: </strong>The SIR of the three HBP images did not differ (P = 0.36). The SNR of CS-eTHRIVE_2mm was lower than that of eTHRIVE and CS-eTHRIVE_4mm (P < 0.001). CS-eTHRIVE_2mm had a better image quality than eTHRIVE and CS-eTHRIVE_4mm (P < 0.001). CS-eTHRIVE_2mm (97.5%) had a significantly better sensitivity for detecting hypointense nodules on HBP image than eTHRIVE (86.4%) and CS-eTHRIVE_4mm (89.0%) (P = 0.001‒0.006).</p><p><strong>Conclusion: </strong>CS-eTHRIVE_2mm had an excellent image quality and lesion detectability due to its high-spatial-resolution.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Features of MR Imaging that Differentiate between Immunohistochemically Diagnosed Dedifferentiated Liposarcoma and Myxoid Liposarcoma.","authors":"Masaya Kawaguchi, Hiroki Kato, Kazuhiro Kobayashi, Tatsuhiko Miyazaki, Akihito Nagano, Yoshifumi Noda, Fuminori Hyodo, Masayuki Matsuo","doi":"10.2463/mrms.mp.2024-0186","DOIUrl":"https://doi.org/10.2463/mrms.mp.2024-0186","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to compare the differences in the imaging findings for dedifferentiated liposarcoma (DDLS) and myxoid liposarcoma (MLS).</p><p><strong>Methods: </strong>The study included 30 patients with histopathologically confirmed DDLS and 13 patients with MLS. All DDLSs and MLSs were diagnosed immunohistochemically using MDM2 and DDIT3 staining, respectively. Conventional MRI, CT, and ¹⁸F-fluorodeoxyglucose-positron emission tomography/CT findings were retrospectively evaluated and compared between the 2 pathologies.</p><p><strong>Results: </strong>The median age of patients with DDLS was higher than that of patients with MLS (74 vs. 46 years, P < 0.01). In 10 DDLSs and 7 MLSs with fatty areas, the well-differentiated liposarcoma-like fatty areas were more common in DDLS than in MLS (70% vs. 14%), whereas septal/linear fatty areas were less common in DDLS than in MLS (30% vs. 86%, P < 0.05). The T2-hyperintense area of non-fatty area was less common in DDLS than in MLS (50% vs. 92%, P < 0.05), and the tumor-to-muscle signal intensity ratio of non-fatty areas on T2-weighted images was lower in DDLS than in MLS (3.18 vs. 5.92, P < 0.01). Apparent diffusion coefficient value was lower in DDLS than in MLS (1.29 vs. 2.10 × 10^-3mm²/sec, P < 0.01). Unenhanced CT attenuation of non-fatty area was greater in DDLS than in MLS (33 vs. 19 Hounsfield unit, P < 0.01).</p><p><strong>Conclusion: </strong>MRI features are valuable in differentiating MLS from DDLS. Younger age, septal/linear fatty areas, and high signal intensity of non-fatty areas on T2-weighted images were useful for diagnosing MLS.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}