Journal of Magnetic Resonance Imaging最新文献

{"title":"Editorial for \"Evaluating the Diagnostic Performance of MR Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors\".","authors":"Lingzhi Hu, Rong Rong","doi":"10.1002/jmri.29767","DOIUrl":"https://doi.org/10.1002/jmri.29767","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143605139","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":"Kinetic Energy Measured by 4D Flow Cardiac MRI in Evaluating Intraventricular Hemodynamics: A Systematic Review.","authors":"Jing Zhu, Xiaolin Mu, Wenjia Wang, Yang Song","doi":"10.1002/jmri.29759","DOIUrl":"https://doi.org/10.1002/jmri.29759","url":null,"abstract":"<p><p>Four-dimensional flow cardiovascular magnetic resonance (4D Flow cardiac MRI) is an advanced non-invasive imaging technology, and its derived kinetic energy (KE) blood flow parameters have been confirmed as a potential biomarkers for assessing ventricular hemodynamics. This review synthesizes details on the methodology, clinical significance, and current status of studies focused on quantifying KE parameters of the ventricle using 4D Flow cardiac MRI, providing an objective foundation for further exploration of the value of KE in cardiac diseases.</p><p><strong>Study type: </strong>retrospective.</p><p><strong>Subjects: </strong>This review includes studies that utilized 4D Flow cardiac MRI in human subjects, focusing on the changes in KE parameters. Field Strength: 1.5T or 3T.</p><p><strong>Assessment: </strong>A systematic review was conducted to assess the literature on the intracardiac clinical applications of 4D Flow cardiac MRI. In September 2024, searches were performed in PubMed, Web of Science, SCIENCEDIRECT, and Springer Link databases using the keywords \"4D Flow cardiac MRI,\" \"ventricular kinetic energy,\" and \"intraventricular hemodynamics,\" covering a period of 10 years. The inclusion criteria for the literature were: (1) clinical trials with human subjects; (2) studies that addressed the value of 4D Flow cardiovascular magnetic resonance and its derived blood flow KE parameters in quantifying ventricular blood flow. The exclusion criteria were: (1) animal experimental studies; (2) non-English core journal articles. Out of the 195 articles screened, 62 studies met the criteria for the systematic review. The included literature comprised 26 (41.9%) studies on 4D Flow cardiac MRI technology and blood flow parameter research, and 36 (58.1%) clinical application studies. KE measurement using 4D Flow cardiac MRI is a promising tool for evaluating ventricular hemodynamics. It provides clinicians with deeper insights into the physiological and pathological dynamics of ventricular blood flow, from healthy states to disease.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143605182","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":"Reliability of In Vivo Creatine-Weighted Chemical Exchange Saturation Transfer (CrCEST) MRI in Calf Skeletal Muscle of Healthy Volunteers at 3 T","authors":"Kasturee Chakraborty PhD,&nbsp;Ritambhar Burman PhD,&nbsp;Sabah Nisar MSc,&nbsp;Saorla Miller BS,&nbsp;Zachary Loschinskey BS,&nbsp;Shengjie Wu MS,&nbsp;Yimei Li PhD,&nbsp;Asim K. Bag MBBS, MD,&nbsp;Ayaz Khan PhD,&nbsp;Chelsea Goodenough PhD,&nbsp;Neil Wilson PhD,&nbsp;Mohammad Haris PhD,&nbsp;Shana E. McCormack MD, MTR,&nbsp;Ravinder Reddy PhD,&nbsp;Kirsten Ness PT, PhD,&nbsp;Richard Finkel MD,&nbsp;Puneet Bagga PhD","doi":"10.1002/jmri.29762","DOIUrl":"https://doi.org/10.1002/jmri.29762","url":null,"abstract":"<p>(A) CrCEST_asym MAPS OF A HUMAN CALF MUSCLE CAPTURED BEFORE AND AT 24-SECOND INTERVALS FOLLOWING 2 MINUTES OF MILD PLANTAR FLEXION EXERCISE (ARRANGED SEQUENTIALLY BY NUMBER). THE ERROR BARS INDICATE THE STANDARD DEVIATION OF CrCEST_asym WITHIN EACH MUSCLE REGION. THE SEGMENTED ANATOMICAL IMAGE IS SITUATED IN THE LOWER RIGHT CORNER. (B) PLOT ILLUSTRATING THE TEMPORAL VARIATION OF THE MEAN CrCEST_asym VALUES ACROSS THREE DISTINCT CALF MUSCLES (LG, MG, AND SOL, WHICH WERE DELINEATED FROM ANATOMICAL IMAGES (LOCATED IN THE BOTTOM RIGHT CORNER). SOLID LINES REPRESENT THE SPLINE INTERPOLATION THAT FITS THE DATA POINTS. BY CHAKRABORTY ET AL. (1681-1692)\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 4","pages":"spcone"},"PeriodicalIF":3.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.29762","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143612381","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":"Evaluating the Diagnostic Performance of MR Cytometry Imaging in Differentiating Benign and Malignant Breast Tumors.","authors":"Fan Liu, Lei Wu, Xinyi Luo, Sisi Li, Yishi Wang, Wen Zhong, Thorsten Feiweier, Junzhong Xu, Diwei Shi, Haihua Bao, Hua Guo","doi":"10.1002/jmri.29757","DOIUrl":"https://doi.org/10.1002/jmri.29757","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;MR cytometry is a class of diffusion-MRI-based methods that characterize tumor microstructures at the cellular level. It involves multicompartmental biophysical modeling of multi-b and multiple diffusion time data to generate microstructural parameters, which may improve differentiation of benign and malignant breast tumors.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To implement MR cytometry imaging with transcytolemmal water exchange (JOINT and EXCHANGE) to differentiate benign and malignant breast tumors, and to compare the classification efficacy of IMPULSED, JOINT, and EXCHANGE.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Prospective.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Subjects: &lt;/strong&gt;115 patients with pathologically confirmed breast tumors (25 benign and 90 malignant).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field strength/sequence: &lt;/strong&gt;3T; pulsed gradient spin-echo (PGSE) diffusion-weighted imaging (DWI) and oscillating gradient spin-echo (OGSE) DWI at 25 and 50 Hz.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;Tumor regions were delineated by two radiologists on DWI. Time-dependent ADC and microstructural parameters (cell diameter &lt;math&gt; &lt;semantics&gt;&lt;mrow&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mrow&gt; &lt;annotation&gt;$$ d $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; , intracellular volume fraction &lt;math&gt; &lt;semantics&gt; &lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;v&lt;/mi&gt; &lt;mtext&gt;in&lt;/mtext&gt;&lt;/msub&gt; &lt;/mrow&gt; &lt;annotation&gt;$$ {v}_{mathrm{in}} $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; , water exchange rate constant &lt;math&gt; &lt;semantics&gt; &lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;k&lt;/mi&gt; &lt;mtext&gt;in&lt;/mtext&gt;&lt;/msub&gt; &lt;/mrow&gt; &lt;annotation&gt;$$ {k}_{mathrm{in}} $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; , extracellular diffusivity &lt;math&gt; &lt;semantics&gt; &lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;D&lt;/mi&gt; &lt;mi&gt;ex&lt;/mi&gt;&lt;/msub&gt; &lt;/mrow&gt; &lt;annotation&gt;$$ {D}_{mathrm{ex}} $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; and intracellular intrinsic diffusivity &lt;math&gt; &lt;semantics&gt; &lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;D&lt;/mi&gt; &lt;mtext&gt;in&lt;/mtext&gt;&lt;/msub&gt; &lt;/mrow&gt; &lt;annotation&gt;$$ {D}_{mathrm{in}} $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; ) were calculated. Classification performance was assessed in the original cohort and in an age-adjusted cohort (excluding older malignant patients to eliminate significant age differences).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;Mann-Whitney U-tests compared benign and malignant tumor values. Multivariable logistic regression used a stepwise approach based on the likelihood ratio test. The area under the receiver operating characteristic (AUC) was computed and compared by using the DeLong test.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In the full analysis (25 benign, 90 malignant), microstructural parameters from methods incorporating transcytolemmal water exchange (JOINT and EXCHANGE) demonstrated superior performance (AUC: ADC, 0.822; IMPULSED, 0.840; JOINT, 0.902; EXCHANGE, 0.905). Combining different metrics further improved classification (AUC: IMPULSED [ &lt;math&gt; &lt;semantics&gt;&lt;mrow&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;/mrow&gt; &lt;annotation&gt;$$ d $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; , &lt;math&gt; &lt;semantics&gt; &lt;mrow&gt;&lt;msub&gt;&lt;mi&gt;v&lt;/mi&gt; &lt;mtext&gt;in&lt;/mtext&gt;&lt;/msub&gt; &lt;/mrow&gt; &lt;annotation&gt;$$ {v}_{mathrm{in}} $$&lt;/annotation&gt;&lt;/","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143605141","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 \"The Potential of Model-Free Parameters Derived From IVIM in Evaluating Pathological Indicators and Long-Term Survival in NPC\".","authors":"Nico Sollmann","doi":"10.1002/jmri.29727","DOIUrl":"https://doi.org/10.1002/jmri.29727","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143585960","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":"Evaluation of Occult Liver Metastases in Pancreatic Adenocarcinoma by Diffusion-Weighted Related Magnetic Resonance Imaging.","authors":"Fangqing Wang, Xinghua Xu, Yinghui Chen, Jianwei Xu, Weiwei Ji, Dexin Yu","doi":"10.1002/jmri.29747","DOIUrl":"https://doi.org/10.1002/jmri.29747","url":null,"abstract":"<p><strong>Background: </strong>Occult liver metastases in patients with pancreatic ductal adenocarcinoma (PDAC) affects treatment strategies and prognosis. Diffusion-weighted imaging (DWI), including non-Gaussian DWI may help to evaluate tumor biological behavior.</p><p><strong>Purpose: </strong>To evaluate the diagnostic value of DWI parameters in predicting occult liver metastases in patients with PDAC.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>115 participants with pathologically confirmed PDAC (male = 71, mean age = 59.8 ± 9.9 years). Occult liver metastasis was defined as those detected by CT or MRI within 6 months of pancreatectomy.</p><p><strong>Field strength/sequence: </strong>DWI, intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) echo planar imaging sequences at 1.5 T.</p><p><strong>Assessment: </strong>Apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), mean apparent diffusion (MD) and mean kurtosis (MK) were measured. In addition, age, sex, body mass index, neutrophil-to-lymphocyte ratio (NLR) and carbohydrate antigen 19-9 (CA 19-9) level were recorded.</p><p><strong>Statistical tests: </strong>Logistic regression analysis, area under the receiver operating characteristic curve (AUC), DeLong test. Two tailed P value < 0.05 was considered significant. Results 23 of 115 (20%) participants had occult liver metastases. Multivariable analysis revealed D [odds ratio (OR) = 0.220], NLR (OR = 1.391) and CA19-9 level (OR = 1.002) were independent risk factors for occult liver metastases. The AUCs were 0.772 for the combination of NLR and CA19-9 level, and 0.848 for the combination of D, NLR and CA19-9 level, without significant difference between the two models (P = 0.055).</p><p><strong>Data conclusion: </strong>A combination of D, NLR and CA19-9 level may be useful in the prediction of occult liver metastases in patients with PDAC.</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":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143585963","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 \"Evaluation of Occult Liver Metastases in Pancreatic Adenocarcinoma by Diffusion-Weighted Related Magnetic Resonance Imaging\".","authors":"Daniel J A Margolis, Andrea Siobhan Kierans","doi":"10.1002/jmri.29761","DOIUrl":"https://doi.org/10.1002/jmri.29761","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143585959","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 Potential of Model-Free Parameters Derived From IVIM in Evaluating Pathological Indicators and Long-Term Survival in NPC.","authors":"Fan Yang, Haoran Wei, Xiaolu Li, Xiaoduo Yu, Lin Li, Yanfeng Zhao, Lizhi Xie, Yueluan Jiang, Meng Lin, Hongmei Zhang","doi":"10.1002/jmri.29725","DOIUrl":"https://doi.org/10.1002/jmri.29725","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;IVIM is a useful quantitative tool for predicting prognosis, but it is labor-intensive. Simplified b-value settings and post-processing could be more practicable for clinical applications.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To assess the value of model-free parameters (virtual MR elastography [vMRE] and signature-index [S-index]) derived from IVIM in evaluating pathological indicators and long-term survival in nasopharyngeal carcinoma (NPC), and to compare those with model-based parameters.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Prospective.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Population: &lt;/strong&gt;One hundred six patients (median: 49.5 years, 19.8% females).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field strength/sequence: &lt;/strong&gt;3-T, IVIM, T1- and T2-weighted imaging, contrast-enhanced T1-weighted imaging.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;The volumes of primary tumors were separately delineated. vMRE and S-index were calculated based on two b-values (200 and 1500 s/mm&lt;sup&gt;2&lt;/sup&gt;), and correlations with pathological indicators (histology, epidermal growth factor receptor [EGFR] level) were analyzed. Six types of model-based parameters were constructed using all b-values. The value in predicting overall survival (OS) and progression-free survival (PFS) was calculated. The vMRE/S-index-Clinic model and tumor-node-metastasis (TNM) staging model were constructed.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical test: &lt;/strong&gt;Spearman and intraclass correlation analysis (ICC), univariate and multivariate Cox analyses with seven clinical factors. Significance level: P-value &lt; 0.05.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The median follow-up duration was 63.0 (interquartile range: 55.9, 100.3) months. All parameters showed excellent agreement (all ICC ≥ 0.790). The vMRE/S-index was significantly correlated with EGFR level and histology. Moreover, the vMRE/S-index was an independent predictor of PFS (hazard ratio [HR]: 0.639 and 2.365, respectively) and OS (HR: 0.690 and 2.116, respectively). The performance of the vMRE/S-index (C-index: 0.585 ~ 0.631) was comparable to that of the model-based parameters (C-index: 0.551 ~ 0.630). The vMRE-Clinic model (C-index: 0.700 and 0.702 for PFS and OS, respectively) and the S-index-Clinic model (C-index: 0.703 and 0.709 for PFS and OS, respectively) demonstrated superior performance compared to TNM staging model.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Model-free parameters from IVIM can predict long-term survival in NPC.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Plain language summary: &lt;/strong&gt;This study employed two simplified model-free parameters: the virtual MR Elastography (vMRE) to measure tissue stiffness and the signature index (S-index) to reveal the intricate tissues microstructures. These two parameters showed the comparable value in EGFR expression level and histology diagnosis as well as long-term survival prediction in nasopharyngeal carcinoma. Patients with high vMRE and low S-index value have favorable treatment outcome. Taking advantage of shorter MRI scan time and post-proc","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143585968","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":"Evaluation of Software-Optimized Protocols for Acoustic Noise Reduction During Brain MRI at 7 Tesla.","authors":"Anton Glans, Linda Wennberg, Jonna Wilén, Lenita Lindgren, Pia C Sundgren, Johan Mårtensson, Karin Markenroth Bloch, Boel Hansson","doi":"10.1002/jmri.29749","DOIUrl":"https://doi.org/10.1002/jmri.29749","url":null,"abstract":"<p><strong>Background: </strong>MR-generated acoustic noise may be particularly concerning at 7-Tesla (T) systems. Noise levels can be reduced by altering gradient output using software optimization. However, such alterations might influence image quality or prolong scan times, and these optimizations have not been well characterized.</p><p><strong>Purpose: </strong>To evaluate image quality, sound pressure levels (SPLs), and perceived noise levels when using the acoustic noise reduction technique SofTone for T₂-weighted fast spin echo (T₂W FSE) and three-dimensional T₁-weighted turbo field echo (3D T₁W TFE), and to compare with conventional imaging during 7-T brain MRI.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Twenty-eight volunteers underwent brain MRI, with n = 26 for image quality evaluations.</p><p><strong>Field strength/sequence: </strong>Conventional and SofTone versions of T₂W FSE and 3D T₁W TFE at 7 T.</p><p><strong>Assessment: </strong>Peak SPLs (A-weighted decibels, dBA), participant-perceived noise levels (Borg CR10-scale), qualitative image assessments by three neuroradiologists (four-graded ordinal scales), interrater reliability, and percentage agreement.</p><p><strong>Statistical test: </strong>Paired t-test, Wilcoxon's Signed-Rank Test, and Krippendorff's alpha; p < 0.05 were considered statistically significant.</p><p><strong>Results: </strong>SofTone significantly reduced peak SPLs: from 116.3 to 97.0 dBA on T₂W FSE, and from 123.7 to 101.5 dBA on 3D T₁W TFE. SofTone was perceived as significantly quieter than conventional scanning. T₂W FSE showed no significant differences in image quality assessments (p = 0.21-1.00), except one radiologist noting significantly less artifact interference with SofTone. General image quality remained acceptable for 3D T₁W TFE, though one radiologist scored it significantly lower with SofTone (mean scores: 3.08 vs. 3.65), and two radiologists observed significantly worse white and gray matter differentiation with SofTone (mean scores: 3.19 vs. 3.54; 2.27 vs. 2.81).</p><p><strong>Data conclusion: </strong>SofTone can significantly reduce sound intensity and perceived noise levels while maintaining acceptable image quality with T₂W FSE and 3D T₁W TFE in brain MRI. It appears to be an effective tool for providing a safer, quieter 7-T scan environment.</p><p><strong>Evidence level: </strong>4 Technical Efficacy: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143573277","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 and Ultrasound for Liver Fat Assessment in Children: Techniques and Supporting Evidence.","authors":"Suraj D Serai, Manish Dhyani, Saubhagya Srivastava, Jonathan R Dillman","doi":"10.1002/jmri.29756","DOIUrl":"https://doi.org/10.1002/jmri.29756","url":null,"abstract":"<p><p>Hepatic steatosis is a common imaging finding that can be a sign of chronic liver disease, most often associated with metabolic dysfunction-associated steatotic liver disease (MASLD). Imaging techniques for evaluating steatosis range from basic qualitative assessments to advanced and highly accurate quantitative metrics. Among these, MRI-based proton density fat fraction (PDFF) is widely regarded as a reliable and precise imaging biomarker for quantifying liver steatosis. Additionally, multiple ultrasound platforms now offer quantitative assessments of hepatic steatosis. These methods include attenuation coefficient, speed of sound, backscatter, or other multiparametric approaches such as ultrasound-derived fat fraction (UDFF) which combines attenuation and backscatter quantification. Newer and upcoming quantitative ultrasound methods include acoustic structure quantification (ASQ) and tissue scatter distribution imaging (TSI). Therefore, ultrasound-based liver fat measurements could potentially serve as an effective screening tool in certain clinical settings, such as suspected MASLD. In this review, we describe how, why, and when to use MRI- and ultrasound-based fat quantification techniques for assessing liver steatosis in children. We discuss practical strategies for adapting and optimizing these methods in pediatric settings, considering clinical indications, patient preparation, equipment needs, acquisition techniques, potential pitfalls, and confounding factors. Additionally, guidance is provided for interpretation and reporting, along with illustrative case examples. Evidence Level: N/A Technical Efficacy: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143557111","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}