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Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-27 DOI: 10.1002/jmri.29720
Ke Liu, Jinlai Ning, Siyuan Qin, Jun Xu, Dapeng Hao, Ning Lang
<p><strong>Background: </strong>The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.</p><p><strong>Purpose: </strong>To develop and validate artificial intelligence (AI) models using noncontrast MRI to identify primary sites of spinal metastases, aiming to enhance diagnostic efficiency.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>A total of 514 patients with pathologically confirmed spinal metastases (mean age, 59.3 ± 11.2 years; 294 males) were included, split into a development set (360) and a test set (154).</p><p><strong>Field strength/sequence: </strong>Noncontrast sagittal MRI sequences (T1-weighted, T2-weighted, and fat-suppressed T2) were acquired using 1.5 T and 3 T scanners.</p><p><strong>Assessment: </strong>Two models were evaluated for identifying primary sites of spinal metastases: the expert-derived features (EDF) model using radiologist-identified imaging features and a ResNet50-based deep learning (DL) model trained on noncontrast MRI. Performance was assessed using accuracy, precision, recall, F1 score, and the area under the receiver operating characteristic curve (ROC-AUC) for top-1, top-2, and top-3 indicators.</p><p><strong>Statistical tests: </strong>Statistical analyses included Shapiro-Wilk, t tests, Mann-Whitney U test, and chi-squared tests. ROC-AUCs were compared via DeLong tests, with 95% confidence intervals from 1000 bootstrap replications and significance at P < 0.05.</p><p><strong>Results: </strong>The EDF model outperformed the DL model in top-3 accuracy (0.88 vs. 0.69) and AUC (0.80 vs. 0.71). Subgroup analysis showed superior EDF performance for common sites like lung and kidney (e.g., kidney F1: 0.94 vs. 0.76), while the DL model had higher recall for rare sites like thyroid (0.80 vs. 0.20). SHapley Additive exPlanations (SHAP) analysis identified sex (SHAP: -0.57 to 0.68), age (-0.48 to 0.98), T1WI signal intensity (-0.29 to 0.72), and pathological fractures (-0.76 to 0.25) as key features.</p><p><strong>Data conclusion: </strong>AI techniques using noncontrast MRI improve diagnostic efficiency for spinal metastases. The EDF model outperformed the DL model, showing greater clinical potential.</p><p><strong>Plain language summary: </strong>Spinal metastases, or cancer spreading to the spine, are common in patients with advanced cancer, often requiring extensive tests to determine the original tumor site. Our study explored whether artificial intelligence could make this process faster and more accurate using noncontrast MRI scans. We tested two methods: one based on radiologists' expertise in identifying imaging features and another using a deep learning model trained to analyze MRI images. The expert-based method was more reliable, correctly identifying the tumor site in 88% of cases when considering th
{"title":"Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.","authors":"Ke Liu, Jinlai Ning, Siyuan Qin, Jun Xu, Dapeng Hao, Ning Lang","doi":"10.1002/jmri.29720","DOIUrl":"https://doi.org/10.1002/jmri.29720","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To develop and validate artificial intelligence (AI) models using noncontrast MRI to identify primary sites of spinal metastases, aiming to enhance diagnostic efficiency.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Retrospective.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Population: &lt;/strong&gt;A total of 514 patients with pathologically confirmed spinal metastases (mean age, 59.3 ± 11.2 years; 294 males) were included, split into a development set (360) and a test set (154).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field strength/sequence: &lt;/strong&gt;Noncontrast sagittal MRI sequences (T1-weighted, T2-weighted, and fat-suppressed T2) were acquired using 1.5 T and 3 T scanners.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;Two models were evaluated for identifying primary sites of spinal metastases: the expert-derived features (EDF) model using radiologist-identified imaging features and a ResNet50-based deep learning (DL) model trained on noncontrast MRI. Performance was assessed using accuracy, precision, recall, F1 score, and the area under the receiver operating characteristic curve (ROC-AUC) for top-1, top-2, and top-3 indicators.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;Statistical analyses included Shapiro-Wilk, t tests, Mann-Whitney U test, and chi-squared tests. ROC-AUCs were compared via DeLong tests, with 95% confidence intervals from 1000 bootstrap replications and significance at P &lt; 0.05.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The EDF model outperformed the DL model in top-3 accuracy (0.88 vs. 0.69) and AUC (0.80 vs. 0.71). Subgroup analysis showed superior EDF performance for common sites like lung and kidney (e.g., kidney F1: 0.94 vs. 0.76), while the DL model had higher recall for rare sites like thyroid (0.80 vs. 0.20). SHapley Additive exPlanations (SHAP) analysis identified sex (SHAP: -0.57 to 0.68), age (-0.48 to 0.98), T1WI signal intensity (-0.29 to 0.72), and pathological fractures (-0.76 to 0.25) as key features.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Data conclusion: &lt;/strong&gt;AI techniques using noncontrast MRI improve diagnostic efficiency for spinal metastases. The EDF model outperformed the DL model, showing greater clinical potential.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Plain language summary: &lt;/strong&gt;Spinal metastases, or cancer spreading to the spine, are common in patients with advanced cancer, often requiring extensive tests to determine the original tumor site. Our study explored whether artificial intelligence could make this process faster and more accurate using noncontrast MRI scans. We tested two methods: one based on radiologists' expertise in identifying imaging features and another using a deep learning model trained to analyze MRI images. The expert-based method was more reliable, correctly identifying the tumor site in 88% of cases when considering th","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046937","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}
引用次数: 0
Editorial for "MRI Radiomics Analysis in the Diagnostic Differentiation of Malignant Soft Tissue Myxoid Sarcomas and Benign Soft Tissue Myxomas of the Musculoskeletal System".
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-26 DOI: 10.1002/jmri.29696
Martin Schwartz
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引用次数: 0
Reference Values for Water-Specific T1, Intermuscular and Intramuscular Fat Content in Skeletal Muscle at 2.89 T.
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-24 DOI: 10.1002/jmri.29718
Stephen J Foulkes, Mark J Haykowsky, Rachel Sherrington, Amy A Kirkham, Justin Grenier, Peter Seres, David I Paterson, Richard B Thompson
<p><strong>Background: </strong>MRI offers quantification of proton density fat fraction (PDFF) and tissue characteristics with T1 mapping. The influence of age, sex, and the potential confounding effects of fat on T1 values in skeletal muscle in healthy adults are insufficiently known.</p><p><strong>Purpose: </strong>To determine the accuracy and repeatability of a saturation-recovery chemical-shift encoded multiparametric approach (SR-CSE) for quantification of T1<sub>Water</sub> and muscle fat content, and establish normative values (age, sex) from a healthy cohort.</p><p><strong>Study type: </strong>Prospective observational; phantoms (NiCL<sub>2</sub>-agarose T1 phantoms with no fat content; gadolinium T1 phantoms with mixed fat-water content).</p><p><strong>Populations: </strong>A total of 130 healthy community-dwelling adults (63 male, 18-76 years) free of chronic health conditions that require regular prescription medication, and with no contraindications to MRI.</p><p><strong>Field strength/sequence: </strong>2.89 T; gradient echo sequences including saturation-recovery chemical-shift encoded T1 mapping (SR-CSE); MOLLI; SASHA; CSE; and single voxel spectroscopy.</p><p><strong>Assessment: </strong>SR-CSE provided T1<sub>Water</sub> and PDFF maps for assessment of intramuscular (MF<sub>Intra</sub>), intermuscular (MF<sub>Inter</sub>), and subcutaneous fat and muscle volumes (thigh, paraspinal muscles). Comparison with MOLLI/SASHA T1 mapping.</p><p><strong>Statistical tests: </strong>Univariable and multivariable linear regression, general linear models, Bland and Altman, coefficient of variation (CV). P-value <0.05 was considered statistically significant.</p><p><strong>Results: </strong>Phantom and in vivo validation studies showed excellent accuracy of SR-CSE T1<sub>Water</sub> and PDFF vs. values from reference standards and repeatability CVs between 0.2% and 2.6% for T1<sub>Water</sub>, R2*, MF<sub>Inter</sub>, MF<sub>Intra</sub>, subcutaneous fat and muscle volumes. Mean T1<sub>Water</sub> was 36 msec significantly higher in females (1445 ± 23 msec vs. 1409 ± 22 msec), with no age-effect (P = 0.35). Females had significantly higher values for MF<sub>Inter</sub> (10.4% ± 4.8% vs. 7.1% ± 2.9%) and MF<sub>Intra</sub> (2.6% ± 1.0% vs. 2.3% ± 0.8%), both of which increased with age, secondary to lower muscle volume. MOLLI and SASHA T1 values had a fat-related bias of 21.7/35.0 msec per 1% increase in fat fraction (MFF<sub>Intra</sub>), in vivo, and a constant bias of -319.8/+35.6 msec, respectively.</p><p><strong>Data conclusion: </strong>SR-CSE provides accurate (vs. phantoms) and repeatable assessment of water-specific T1 values and muscle and fat volumes. Conventional methods (SASHA, MOLLI) have a significant fat-modulated T1-bias. T1<sub>Water</sub> values are higher in females with no significant age dependence.</p><p><strong>Plain language summary: </strong>We developed and tested the accuracy of a new MRI approach to measure tissue
{"title":"Reference Values for Water-Specific T1, Intermuscular and Intramuscular Fat Content in Skeletal Muscle at 2.89 T.","authors":"Stephen J Foulkes, Mark J Haykowsky, Rachel Sherrington, Amy A Kirkham, Justin Grenier, Peter Seres, David I Paterson, Richard B Thompson","doi":"10.1002/jmri.29718","DOIUrl":"https://doi.org/10.1002/jmri.29718","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;MRI offers quantification of proton density fat fraction (PDFF) and tissue characteristics with T1 mapping. The influence of age, sex, and the potential confounding effects of fat on T1 values in skeletal muscle in healthy adults are insufficiently known.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To determine the accuracy and repeatability of a saturation-recovery chemical-shift encoded multiparametric approach (SR-CSE) for quantification of T1&lt;sub&gt;Water&lt;/sub&gt; and muscle fat content, and establish normative values (age, sex) from a healthy cohort.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Prospective observational; phantoms (NiCL&lt;sub&gt;2&lt;/sub&gt;-agarose T1 phantoms with no fat content; gadolinium T1 phantoms with mixed fat-water content).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Populations: &lt;/strong&gt;A total of 130 healthy community-dwelling adults (63 male, 18-76 years) free of chronic health conditions that require regular prescription medication, and with no contraindications to MRI.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field strength/sequence: &lt;/strong&gt;2.89 T; gradient echo sequences including saturation-recovery chemical-shift encoded T1 mapping (SR-CSE); MOLLI; SASHA; CSE; and single voxel spectroscopy.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;SR-CSE provided T1&lt;sub&gt;Water&lt;/sub&gt; and PDFF maps for assessment of intramuscular (MF&lt;sub&gt;Intra&lt;/sub&gt;), intermuscular (MF&lt;sub&gt;Inter&lt;/sub&gt;), and subcutaneous fat and muscle volumes (thigh, paraspinal muscles). Comparison with MOLLI/SASHA T1 mapping.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;Univariable and multivariable linear regression, general linear models, Bland and Altman, coefficient of variation (CV). P-value &lt;0.05 was considered statistically significant.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Phantom and in vivo validation studies showed excellent accuracy of SR-CSE T1&lt;sub&gt;Water&lt;/sub&gt; and PDFF vs. values from reference standards and repeatability CVs between 0.2% and 2.6% for T1&lt;sub&gt;Water&lt;/sub&gt;, R2*, MF&lt;sub&gt;Inter&lt;/sub&gt;, MF&lt;sub&gt;Intra&lt;/sub&gt;, subcutaneous fat and muscle volumes. Mean T1&lt;sub&gt;Water&lt;/sub&gt; was 36 msec significantly higher in females (1445 ± 23 msec vs. 1409 ± 22 msec), with no age-effect (P = 0.35). Females had significantly higher values for MF&lt;sub&gt;Inter&lt;/sub&gt; (10.4% ± 4.8% vs. 7.1% ± 2.9%) and MF&lt;sub&gt;Intra&lt;/sub&gt; (2.6% ± 1.0% vs. 2.3% ± 0.8%), both of which increased with age, secondary to lower muscle volume. MOLLI and SASHA T1 values had a fat-related bias of 21.7/35.0 msec per 1% increase in fat fraction (MFF&lt;sub&gt;Intra&lt;/sub&gt;), in vivo, and a constant bias of -319.8/+35.6 msec, respectively.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Data conclusion: &lt;/strong&gt;SR-CSE provides accurate (vs. phantoms) and repeatable assessment of water-specific T1 values and muscle and fat volumes. Conventional methods (SASHA, MOLLI) have a significant fat-modulated T1-bias. T1&lt;sub&gt;Water&lt;/sub&gt; values are higher in females with no significant age dependence.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Plain language summary: &lt;/strong&gt;We developed and tested the accuracy of a new MRI approach to measure tissue ","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143033237","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}
引用次数: 0
Breast MRI to Screen Women With Extremely Dense Breasts.
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-24 DOI: 10.1002/jmri.29716
Carla Sitges, Ritse M Mann

Women with extremely dense breasts are at a higher risk of breast cancer, and the sensitivity of mammography in this group is reduced due to the masking effect of overlapping tissue. This review examines supplemental screening methods to improve detection in this population, with a focus on MRI. Morphologic techniques offer limited benefits, digital breast tomosynthesis (DBT) shows inconsistent results, and ultrasound (US), while improving cancer detection rates (CDR), results in a higher rate of false positives. Functional imaging techniques show better performance, molecular breast imaging increases CDR but is limited in availability, and contrast-enhanced mammography is promising, with good results and as an accessible technique, but requires further validation. MRI, with sensitivity ranging from 81% to 100%, is the most supported modality. Despite strong evidence for MRI in this population, high costs, use of contrast, and longer scan times hinder widespread use. Abbreviated MRI protocols aim to overcome these barriers by reducing costs and scan duration. As personalized screening becomes a future focus, MRI remains the most effective option for women with extremely dense breasts. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 5.

{"title":"Breast MRI to Screen Women With Extremely Dense Breasts.","authors":"Carla Sitges, Ritse M Mann","doi":"10.1002/jmri.29716","DOIUrl":"https://doi.org/10.1002/jmri.29716","url":null,"abstract":"<p><p>Women with extremely dense breasts are at a higher risk of breast cancer, and the sensitivity of mammography in this group is reduced due to the masking effect of overlapping tissue. This review examines supplemental screening methods to improve detection in this population, with a focus on MRI. Morphologic techniques offer limited benefits, digital breast tomosynthesis (DBT) shows inconsistent results, and ultrasound (US), while improving cancer detection rates (CDR), results in a higher rate of false positives. Functional imaging techniques show better performance, molecular breast imaging increases CDR but is limited in availability, and contrast-enhanced mammography is promising, with good results and as an accessible technique, but requires further validation. MRI, with sensitivity ranging from 81% to 100%, is the most supported modality. Despite strong evidence for MRI in this population, high costs, use of contrast, and longer scan times hinder widespread use. Abbreviated MRI protocols aim to overcome these barriers by reducing costs and scan duration. As personalized screening becomes a future focus, MRI remains the most effective option for women with extremely dense breasts. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143033233","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}
引用次数: 0
Left Ventricular Hemodynamic Forces Changes in Fabry Disease: A Cardiac Magnetic Resonance Study.
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-22 DOI: 10.1002/jmri.29700
Jialin Li, Shichu Liang, Ziqian Xu, Ke Wan, Lutong Pu, Jie Wang, Yuchi Han, Yucheng Chen
<p><strong>Background: </strong>Hemodynamic force (HDF) from cardiac MRI can indicate subclinical myocardial dysfunction, and help identify early cardiac changes in patients with Fabry disease (FD). The hemodynamic change in FD patients remains unclear.</p><p><strong>Purpose: </strong>To explore HDF changes in FD and the potential of HDF measurements as diagnostic markers indicating early cardiac changes in FD.</p><p><strong>Study type: </strong>Single-center, prospective, observational study.</p><p><strong>Population: </strong>Forty-six FD patients (age: 38 ± 12, females: 45.65%) and 46 sex- and age-matched healthy controls (HCs).</p><p><strong>Field strength/sequence: </strong>3 T, cardiac MRI including steady-state free precession cine imaging (during multiple breath-holds), phase-sensitive inversion recovery sequence for late gadolinium enhancement (LGE) imaging, and motion-corrected modified Look-Locker inversion recovery sequence for T1 mapping.</p><p><strong>Assessment: </strong>Analysis of strains and HDF were performed on the cine imaging. HDF parameters includes apical-basal force, systolic impulse, systolic peak, systolic-diastolic transition, diastolic deceleration, and atrial thrust. Moreover, FD patients were categorized with left ventricular hypertrophy (LVH+) (the maximal wall thickness >12 mm) or without LVH (LVH-). Mainz Severity Score Index (MSSI) score was calculated to measure the progression of FD.</p><p><strong>Statistical tests: </strong>Group comparison tests, logistic regression, and receiver operating characteristic curve (ROC) were performed. A P-value <0.05 was considered statistically significant.</p><p><strong>Results: </strong>FD patients showed significantly lower native T1 (1161.1 ± 55.4 vs. 1202.8 ± 42.0 msec) and higher systolic impulse (33.8 ± 9.9 vs. 24.8 ± 9.5%). The systolic impulse in HDF analysis increased even in the pre-hypertrophic stage. The increased myocardial global longitudinal strain (r = 0.419) and systolic impulse (r = 0.333) showed positive correlations with a higher MSSI score. The AUC of systolic impulse and global native T1 showed no significant difference (0.764 vs. 0.790, P = 0.784).</p><p><strong>Data conclusion: </strong>Increased systolic impulse and systolic peak can be observed in FD patients. Systolic impulse showed potential ability for screening pre-LVH FD patients and correlated with disease severity in FD patients.</p><p><strong>Plain language summary: </strong>This study explored hemodynamic changes in patients with Fabry disease (FD) using hemodynamic force (HDF) analysis based on cardiac MRI. 46 FD patients were included and analysis of cardiac function, native T1, strains, and hemodynamic changes on cardiac MRI images were performed. The results showed that systolic impulse and systolic peak of HDF analysis were increased in FD patients, and systolic impulse may increase even in the pre-hypertrophic stage. Systolic impulse was correlated with disease severity in patients wit
{"title":"Left Ventricular Hemodynamic Forces Changes in Fabry Disease: A Cardiac Magnetic Resonance Study.","authors":"Jialin Li, Shichu Liang, Ziqian Xu, Ke Wan, Lutong Pu, Jie Wang, Yuchi Han, Yucheng Chen","doi":"10.1002/jmri.29700","DOIUrl":"https://doi.org/10.1002/jmri.29700","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Hemodynamic force (HDF) from cardiac MRI can indicate subclinical myocardial dysfunction, and help identify early cardiac changes in patients with Fabry disease (FD). The hemodynamic change in FD patients remains unclear.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To explore HDF changes in FD and the potential of HDF measurements as diagnostic markers indicating early cardiac changes in FD.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Single-center, prospective, observational study.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Population: &lt;/strong&gt;Forty-six FD patients (age: 38 ± 12, females: 45.65%) and 46 sex- and age-matched healthy controls (HCs).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field strength/sequence: &lt;/strong&gt;3 T, cardiac MRI including steady-state free precession cine imaging (during multiple breath-holds), phase-sensitive inversion recovery sequence for late gadolinium enhancement (LGE) imaging, and motion-corrected modified Look-Locker inversion recovery sequence for T1 mapping.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;Analysis of strains and HDF were performed on the cine imaging. HDF parameters includes apical-basal force, systolic impulse, systolic peak, systolic-diastolic transition, diastolic deceleration, and atrial thrust. Moreover, FD patients were categorized with left ventricular hypertrophy (LVH+) (the maximal wall thickness &gt;12 mm) or without LVH (LVH-). Mainz Severity Score Index (MSSI) score was calculated to measure the progression of FD.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;Group comparison tests, logistic regression, and receiver operating characteristic curve (ROC) were performed. A P-value &lt;0.05 was considered statistically significant.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;FD patients showed significantly lower native T1 (1161.1 ± 55.4 vs. 1202.8 ± 42.0 msec) and higher systolic impulse (33.8 ± 9.9 vs. 24.8 ± 9.5%). The systolic impulse in HDF analysis increased even in the pre-hypertrophic stage. The increased myocardial global longitudinal strain (r = 0.419) and systolic impulse (r = 0.333) showed positive correlations with a higher MSSI score. The AUC of systolic impulse and global native T1 showed no significant difference (0.764 vs. 0.790, P = 0.784).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Data conclusion: &lt;/strong&gt;Increased systolic impulse and systolic peak can be observed in FD patients. Systolic impulse showed potential ability for screening pre-LVH FD patients and correlated with disease severity in FD patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Plain language summary: &lt;/strong&gt;This study explored hemodynamic changes in patients with Fabry disease (FD) using hemodynamic force (HDF) analysis based on cardiac MRI. 46 FD patients were included and analysis of cardiac function, native T1, strains, and hemodynamic changes on cardiac MRI images were performed. The results showed that systolic impulse and systolic peak of HDF analysis were increased in FD patients, and systolic impulse may increase even in the pre-hypertrophic stage. Systolic impulse was correlated with disease severity in patients wit","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023810","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}
引用次数: 0
Magnetic Resonance Acoustic Radiation Force Imaging (MR-ARFI).
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-22 DOI: 10.1002/jmri.29712
Henrik Odéen, Allison H Payne, Dennis L Parker

This review covers the theoretical background, pulse sequence considerations, practical implementations, and multitudes of applications of magnetic resonance acoustic radiation force imaging (MR-ARFI) described to date. MR-ARFI is an approach to encode tissue displacement caused by the acoustic radiation force of a focused ultrasound field into the phase of a MR image. The displacement encoding is done with motion encoding gradients (MEG) which have traditionally been added to spin echo-type and gradient recalled echo-type pulse sequences. Many different types of MEG (monopolar, bipolar, tripolar etc.) have been described and pros and cons are discussed. We further review studies investigating the safety of MR-ARFI, as well as approaches to simulate the MR-ARFI displacement. Lastly, MR-ARFI applications such as for focal spot localization, tissue stiffness interrogation following thermal ablation, trans-skull aberration correction, and simultaneous MR-ARFI and MR thermometry are discussed. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 1.

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引用次数: 0
MRI Radiomics Analysis in the Diagnostic Differentiation of Malignant Soft Tissue Myxoid Sarcomas From Benign Soft Tissue Musculoskeletal Myxomas.
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-22 DOI: 10.1002/jmri.29691
Hadas Benhabib, Daniel Brandenberger, Katherine Lajkosz, Elizabeth G Demicco, Kim M Tsoi, Jay S Wunder, Peter C Ferguson, Anthony M Griffin, Ali Naraghi, Masoom A Haider, Lawrence M White
<p><strong>Background: </strong>Differentiation of benign myxomas and malignant myxoid sarcomas can be difficult with an overlapping spectrum of morphologic MR findings.</p><p><strong>Purpose: </strong>To assess the diagnostic utility of MRI radiomics in the differentiation of musculoskeletal myxomas and myxoid sarcomas.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>A total of 523 patients were included; histologically proven myxomas (N = 201) and myxoid sarcomas (N = 322), randomly divided (70:30) into training:test subsets.</p><p><strong>Sequence/field strength: </strong>T1-weighted (T1W), T2-weighted fat-suppressed (fluid-sensitive), and T1-weighted post-contrast (T1W + C) sequences at 1.0 T, 1.5 T, or 3.0 T.</p><p><strong>Assessment: </strong>Seven semantic (qualitative) tumor features were assessed in each case. Manual 3D tumor segmentations performed with radiomics features extracted from T1W, fluid-sensitive, and T1W + C acquisitions. Models were constructed based on radiomic features from individual sequences and from their combination, both with and without the addition of qualitative tumor features.</p><p><strong>Statistical tests: </strong>Intraclass correlation evaluated in 60 cases segmented by three readers. Features with intraclass correlation <0.7 excluded from further analysis. Boruta feature selection and Random Forest modeling performed using the training-dataset, with resultant models used to assess class discrimination (myxoma vs. myxoid sarcoma) in the test dataset. Radiomics score defined as probability class = myxoma. Logistic regression modeling employed to estimate performance of the radiomics score. Area under the receiver operating characteristic curve (AUC) was used to assess diagnostic performance, and DeLong's test to assess performance between constructed models. A P-value <0.05 was considered significant.</p><p><strong>Results: </strong>Four qualitative semantic features showed significant predictive power in class discrimination. Radiomic models demonstrated excellent differentiation of myxomas from myxoid sarcomas: AUC of 0.9271 (T1W), 0.9049 (fluid-sensitive), and 0.9179 (T1W + C). Incorporation of multiparametric data or semantic features did not significantly improve model performance (P ≥ 0.08) compared to radiomic models derived from any individual MRI sequence alone.</p><p><strong>Data conclusion: </strong>MRI radiomics appears to be accurate in the differentiation of myxomas from myxoid sarcomas. Classification performance did not improve when incorporating qualitative features or multiparametric imaging data.</p><p><strong>Plain language summary: </strong>Accurately distinguishing between benign soft tissue myxomas and malignant myxoid sarcomas is essential for guiding appropriate management but remains challenging with conventional MRI interpretation. This study utilized radiomics, a method that extracts quantitative mathematically derived features from images, to
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引用次数: 0
Improving Image Quality and Decreasing SAR With High Dielectric Constant Pads in 3 T Fetal MRI. 利用高介电常数衬垫提高3t胎儿MRI成像质量,降低SAR。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-21 DOI: 10.1002/jmri.29677
Zhengyang Zhu, Xunwen Xue, Tang Tang, Chao Luo, Ye Li, Jing Chen, Biyun Xu, Zengping Lin, Xin Zhang, Zhengge Wang, Jun Chen, Jiaming Lu, Wen Zhang, Xin Li, Qian Chen, Zhuoru Jiang, Junxia Wang, Qing Hu, Sven Haller, Ming Li, Chenchen Yan, Bing Zhang
<p><strong>Background: </strong>At high magnetic fields, degraded image quality due to dielectric artifacts and elevated specific absorption rate (SAR) are two technical challenges in fetal MRI.</p><p><strong>Purpose: </strong>To assess the potential of high dielectric constant (HDC) pad in increasing image quality and decreasing SAR for 3 T fetal MRI.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Field strength/sequence: </strong>3 T. Balanced steady-state free precession (bSSFP) and single-shot fast spin-echo (SSFSE).</p><p><strong>Population: </strong>One hundred twenty-eight participants (maternal-age 29.0 ± 3.6, range 20-40; gestational-age 30.3 ± 3.5 weeks, range 22-37 weeks) undertook bSSFP and 40 participants (maternal-age 29.5 ± 3.8, range 19-40; gestational-age 30.4 ± 3.5 weeks, range 23-37 weeks) undertook SSFSE.</p><p><strong>Assessment: </strong>Patient clinical characteristics were recorded, such as gestational-age, amniotic-fluid-index, abdominal-circumference, body-mass-index, and fetal-presentation. Quantitative Image-quality analysis included signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Qualitative analysis was performed by three radiologists with four-point scale to evaluate overall image quality, dielectric artifact, and diagnostic confidence. Whole-body total SAR was obtained from the vendor workstation.</p><p><strong>Statistical testing: </strong>Paired rank sum test was used to analyze the differences in SNR, CNR, overall image quality, dielectric artifact, diagnostic confidence, and SAR with and without HDC pad. Spearman correlation test was used to detect correlations between image quality variable changes and patient clinical characteristics. P values <0.05 were set as statistical significance.</p><p><strong>Results: </strong>With HDC pad, SNR and CNR was significantly higher (41.45% increase in SNR, 54.05% increase in CNR on bSSFP; 258.76% increase in SNR, 459.55% increase in CNR on SSFSE). Overall qualitative image quality, dielectric artifact and diagnostic confidence improved significantly. Adding HDC pad significantly reduced Whole-body total SAR (32.60% on bSSFP; 15.40% on SSFSE). There was no significant correlation between image quality variable changes and participant clinical characteristics (P-values ranging from 0.072 to 0.992).</p><p><strong>Data conclusion: </strong>In the clinical setting, adding a HDC pad might increase image quality while reducing dielectric artifact and SAR.</p><p><strong>Plan language summary: </strong>Dielectric artifacts and elevated SAR are two technical problems in 3T fetal MRI. In a prospective analysis of 168 pregnant participants undertaking 3.0T fetal MRI scanning, high dielectric constant (HDC) pad increased SNR by 41.45%, CNR by 54.05% on bSSFP, and SNR by 258.76%, CNR by 459.55% on SSFSE. Overall image quality, dielectric artifact reduction, and diagnostic confidence assessed by three radiologists was improved. Whole-body total SAR decreased
背景:在高磁场下,由于介电伪影和特定吸收率(SAR)升高而导致的图像质量下降是胎儿MRI的两个技术挑战。目的:探讨高介电常数(HDC)衬垫在3t胎儿MRI中提高图像质量、降低SAR的潜力。研究类型:前瞻性。场强/序列:3t。平衡稳态自由进动(bSSFP)和单次快速自旋回波(SSFSE)。人群:128名参与者(产妇年龄29.0±3.6岁,范围20-40岁;孕龄(30.3±3.5周,范围22-37周)和40名参与者(母亲年龄29.5±3.8,范围19-40周;孕龄(30.4±3.5周,范围23-37周)进行SSFSE。评估:记录患者的临床特征,如胎龄、羊水指数、腹围、体重指数和胎儿表现。定量图像质量分析包括信噪比(SNR)和噪声对比比(CNR)。定性分析由三名放射科医生用四分制评估整体图像质量、介电伪影和诊断置信度。从供应商工作站获得全身总SAR。统计检验:采用配对秩和检验分析有无HDC垫的信噪比、CNR、整体图像质量、介电伪影、诊断置信度、SAR的差异。采用Spearman相关检验检测图像质量变量变化与患者临床特征的相关性。结果:使用HDC垫后,bSSFP组的SNR和CNR均显著升高(SNR增加41.45%,CNR增加54.05%;SNR增加258.76%,SNR增加459.55%)。总体定性图像质量、介电伪影和诊断可信度显著提高。添加HDC垫可显著降低bSSFP的全身总SAR (32.60%);15.40%在SSFSE)。图像质量变量变化与受试者临床特征无显著相关性(p值为0.072 ~ 0.992)。数据结论:在临床应用中,添加HDC垫可提高图像质量,同时降低介电伪影和SAR。在对168名孕妇进行3.0T胎儿MRI扫描的前瞻性分析中,高介电常数(HDC)垫提高了41.45%的信噪比,bSSFP提高了54.05%的信噪比,SSFSE提高了258.76%的信噪比,459.55%的信噪比。总体图像质量,电介质伪影减少,以及由三名放射科医生评估的诊断信心得到改善。bSSFP组全身总SAR下降32.60%,SSFSE组下降15.40%。这些结果表明HDC垫可以提高胎儿MRI的安全性和质量,是一种很有前景的临床工具。证据等级:2技术功效:第5阶段。
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引用次数: 0
The Role of Proton Magnetic Resonance Spectroscopy in Neonatal and Fetal Brain Research. 质子磁共振波谱在新生儿和胎儿脑研究中的作用。
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-21 DOI: 10.1002/jmri.29709
Steve C N Hui, Nickie Andescavage, Catherine Limperopoulos

The biochemical composition and structure of the brain are in a rapid change during the exuberant stage of fetal and neonatal development. 1H-MRS is a noninvasive tool that can evaluate brain metabolites in healthy fetuses and infants as well as those with neurological diseases. This review aims to provide readers with an understanding of 1) the basic principles and technical considerations relevant to 1H-MRS in the fetal-neonatal brain and 2) the role of 1H-MRS in early fetal-neonatal development brain research. We performed a PubMed search to identify original studies using 1H-MRS in neonates and fetuses to establish the clinical applications of 1H-MRS. The eligible studies for this review included original research with 1H-MRS applications to the fetal-neonatal brain in healthy and high-risk conditions. We ran our search between 2000 and 2023, then added in several high-impact landmark publications from the 1990s. A total of 366 results appeared. After, we excluded original studies that did not include fetuses or neonates, non-proton MRS and non-neurological studies. Eventually, 110 studies were included in this literature review. Overall, the function of 1H-MRS in healthy fetal-neonatal brain studies focuses on measuring the change of metabolite concentrations during neurodevelopment and the physical properties of the metabolites such as T1/T2 relaxation times. For high-risk neonates, studies in very low birth weight preterm infants and full-term neonates with hypoxic-ischemic encephalopathy, along with examining the associations between brain biochemistry and cognitive neurodevelopment are most common. Additional high-risk conditions included infants with congenital heart disease or metabolic diseases, as well as fetuses of pregnant women with hypertensive disorders were of specific interest to researchers using 1H-MRS. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 2.

在胎儿和新生儿发育的旺盛阶段,大脑的生化组成和结构处于快速变化中。1H-MRS是一种无创工具,可以评估健康胎儿和婴儿以及神经系统疾病患者的脑代谢物。本文旨在为读者提供以下内容:1)胎儿-新生儿大脑中1H-MRS的基本原理和相关技术考虑;2)1H-MRS在胎儿-新生儿早期发育大脑研究中的作用。我们进行了PubMed检索,以确定在新生儿和胎儿中使用1H-MRS的原始研究,以确定1H-MRS的临床应用。本综述的合格研究包括1H-MRS在健康和高危条件下应用于胎儿-新生儿大脑的原始研究。我们在2000年至2023年之间进行了搜索,然后加入了20世纪90年代的几篇高影响力的里程碑式出版物。总共出现了366个结果。之后,我们排除了不包括胎儿或新生儿、非质子MRS和非神经学研究的原始研究。最终,110项研究被纳入本文献综述。总的来说,1H-MRS在健康胎儿-新生儿大脑研究中的功能主要集中在测量神经发育过程中代谢物浓度的变化以及代谢物的物理性质,如T1/T2松弛时间。对于高危新生儿,研究极低出生体重早产儿和足月新生儿缺氧缺血性脑病,以及检查脑生化和认知神经发育之间的关系是最常见的。其他高危情况包括患有先天性心脏病或代谢性疾病的婴儿,以及患有高血压疾病的孕妇的胎儿,这些都是使用1H-MRS的研究人员特别感兴趣的。证据等级:1技术功效:二级。
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引用次数: 0
Evaluation of Real-Time Cardiovascular Flow MRI Using Compressed Sensing in a Phantom and in Patients With Valvular Disease or Arrhythmia. 用压缩感测在虚影和瓣膜性疾病或心律失常患者中的实时心血管血流MRI评价
IF 3.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-20 DOI: 10.1002/jmri.29702
Tania Lala, Lea Christierson, Petter Frieberg, Daniel Giese, Peter Kellman, Nina Hakacova, Pia Sjöberg, Ellen Ostenfeld, Johannes Töger
<p><strong>Background: </strong>Real-time (RT) phase contrast (PC) flow MRI can potentially be used to measure blood flow in arrhythmic patients. Undersampled RT PC has been combined with online compressed sensing (CS) reconstruction (CS RT) enabling clinical use. However, CS RT flow has not been validated in a clinical setting.</p><p><strong>Purpose: </strong>Evaluate CS RT in phantom and patients.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Flow phantom (60 cycles/min: N = 10, 120 cycles/min: N = 12), sinus rhythm patients, no regurgitation (N = 20) or suspected aortic regurgitation (N = 10), arrhythmia patients (N = 10).</p><p><strong>Field strength/sequence: </strong>1.5 T, 2D gated PC, CS RT PC, RT cine with arrhythmia rejection.</p><p><strong>Assessment: </strong>Phantom experiments tested the accuracy of CS RT cardiac output and peak flow rate at 60 and 120 cycles/min against gated PC. For sinus rhythm patients, cardiac output, peak flow rate, and regurgitation fraction in the ascending aorta and/or pulmonary artery were evaluated against gated PC. Cardiac output in patients with arrythmia was evaluated against RT cine with arrhythmia rejection.</p><p><strong>Statistical tests: </strong>Bland Altman, correlation, Mann-Whitney test, Wilcoxon signed-rank test.</p><p><strong>Results: </strong>Cardiac output bias ± SD for CS RT in the phantom was -0.0 ± 0.2 L/min (0.5 ± 3%, P = 0.76) at 60 cycles/min and 0.2 ± 0.3 L/min (4 ± 4%, P = 0.0016) at 120 cycles/min. Correspondingly, peak flow rate bias was -23 ± 6 mL/s (-7 ± 2%, P < 0.0001) and -73 ± 25 mL/s (-23 ± 4%, P < 0.0001). In patients, regurgitant fraction was -4 ± 0.5% (-23 ± 4%, P = 0.0025). Cardiac output bias in patients in sinus rhythm was -0.1 ± 0.5 L/min (-2 ± 10%, P = 0.99) (with regurgitation) and -0.3 ± 0.6 L/min (-5 ± 11%, P = 0.035) (without regurgitation). Peak flow rate bias was -60 ± 31 mL/s (-13 ± 6%, P < 0.0001) (with regurgitation) and -64 ± 32 mL/s (-16 ± 8%, P < 0.0001) (without regurgitation). Cardiac output bias was -0.4 ± 0.6 L/min (-9 ± 11%, P < 0.003) in arrhythmia patients.</p><p><strong>Data conclusions: </strong>CS RT flow could potentially serve as a clinical tool for patients with or without valvular disease or arrhythmia, with accurate cardiac output and regurgitation fraction quantification.</p><p><strong>Plain language summary: </strong>Accurate flow assessment is important in clinical evaluation of cardiac patients, but in the presence of irregular heart rhythm flow assessment is challenging. We have evaluated a new method using cardiac magnetic resonance imaging and real-time flow for blood flow assessment in cardiac patients. The method was tested against a reference method in a phantom flow model in low and high heart rates, and in cardiac patients with and without irregular heart rhythm and in different vessels. We found the cardiac magnetic resonance imaging real time flow method accurate and therefore promising fo
背景:实时(RT)相衬(PC)血流MRI可用于测量心律失常患者的血流量。欠采样RT PC已与在线压缩感知(CS)重建(CS RT)相结合,使临床应用。然而,CS RT流程尚未在临床环境中得到验证。目的:评价CS RT在幻影和患者中的应用。研究类型:前瞻性。人群:血流幻象(60周期/分钟:N = 10, 120周期/分钟:N = 12),窦性心律患者,无反流(N = 20)或疑似主动脉反流(N = 10),心律失常患者(N = 10)。场强/序列:1.5 T, 2D门控PC, CS RT PC,伴心律失常排斥的RT cine。评估:幻影实验测试了CS RT在60和120周期/分钟时的心输出量和峰值血流率与门控PC的准确性。对于窦性心律患者,心排血量、峰值血流率、升主动脉和/或肺动脉的返流分数在门控PC下被评估。心律失常患者的心输出量与心律失常排斥反应对照进行评价。统计检验:Bland Altman、相关检验、Mann-Whitney检验、Wilcoxon sign -rank检验。结果:在60 cycles/min时,CS RT的心输出量偏差±SD为-0.0±0.2 L/min(0.5±3%,P = 0.76),在120 cycles/min时为0.2±0.3 L/min(4±4%,P = 0.0016)。相应的,峰值流速偏差为-23±6 mL/s(-7±2%),P数据结论:CS RT流量具有准确的心输出量和反流分数量化,可作为有或无瓣膜疾病或心律失常患者的临床工具。简明语言总结:准确的血流评估在心脏病患者的临床评估中很重要,但在心律不规律的情况下,血流评估具有挑战性。我们评估了一种使用心脏磁共振成像和实时血流的新方法,用于心脏患者的血流评估。该方法与参考方法在低心率和高心率、心律不规则和无心律不规则的心脏患者和不同血管的虚幻血流模型中进行了测试。我们发现心脏磁共振成像实时血流方法是准确的,因此有希望在临床应用。证据等级:1技术功效:1期。
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Journal of Magnetic Resonance Imaging
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