{"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}
Anton Glans, Linda Wennberg, Jonna Wilén, Lenita Lindgren, Pia C Sundgren, Johan Mårtensson, Karin Markenroth Bloch, Boel Hansson
{"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 T<sub>2</sub>-weighted fast spin echo (T<sub>2</sub>W FSE) and three-dimensional T<sub>1</sub>-weighted turbo field echo (3D T<sub>1</sub>W 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 T<sub>2</sub>W FSE and 3D T<sub>1</sub>W 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 T<sub>2</sub>W FSE, and from 123.7 to 101.5 dBA on 3D T<sub>1</sub>W TFE. SofTone was perceived as significantly quieter than conventional scanning. T<sub>2</sub>W 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 T<sub>1</sub>W 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 T<sub>2</sub>W FSE and 3D T<sub>1</sub>W 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}
Suraj D Serai, Manish Dhyani, Saubhagya Srivastava, Jonathan R Dillman
{"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}
Fei Peng, Huayan Xu, Ting Xu, Ke Xu, Xiaotang Cai, Jiaoyang Li, Heng Zhao, Wenhong Liu, Yingkun Guo, Limin Liu
{"title":"Multi-Parametric Quantitative MRI in the Early Differential Diagnosis of Ambulatory Children With Duchenne Muscular Dystrophy and Becker Muscular Dystrophy.","authors":"Fei Peng, Huayan Xu, Ting Xu, Ke Xu, Xiaotang Cai, Jiaoyang Li, Heng Zhao, Wenhong Liu, Yingkun Guo, Limin Liu","doi":"10.1002/jmri.29755","DOIUrl":"https://doi.org/10.1002/jmri.29755","url":null,"abstract":"<p><strong>Background: </strong>Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD), the most common dystrophinopathies, require distinct treatments. Corticosteroids are effective for DMD but less so for BMD. Early diagnosis can improve DMD outcomes and prevent BMD overtreatment. However, differentiating them in younger children with mild symptoms is challenging due to overlapping features.</p><p><strong>Purpose: </strong>To evaluate the performance of multi-parametric quantitative MRI (qMRI) in early differentiation between BMD and DMD, particularly among younger patients in the mild disease stage.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>121 DMD males (mean age 8.5 ± 1.6 years), 28 BMD males (9.7 ± 3.3 years), and 26 male healthy controls (HCs) (9.4 ± 2.7 years).</p><p><strong>Field strength/sequence: </strong>3.0T/3-point Dixon (fast-spin-echo), T1-mapping (modified-Look-Locker-inversion-recovery), and T2-mapping (balance-steady-state-free-precession).</p><p><strong>Assessment: </strong>qMRI measurements (fat fraction [FF], T1, and T2) in 18 pelvic and thigh muscles were conducted. A linearized NorthStar ambulatory assessment (NSAA) score was used to evaluate the function status, with a mild functional decline stage defined as a score of 76-100.</p><p><strong>Statistical tests: </strong>Mann-Whitney test, Kruskal-Wallis test, and Receiver operating characteristic curves. A P-value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>In all subject groups, DMD exhibits significantly higher FF and T2 and lower T1 compared to BMD. The max differences in mean FF, T1, and T2 was 45.29%, 543 ms, and 31.0 ms, respectively. Overall, the area under curve (AUC) values for FF surpassed those for T2 and T1 in the majority of muscles. In the mild subgroup below 10 years old, DMD had significantly higher FF and T1 than BMD. The combination of FF and T1 in gluteus medius, rectus femoris, vastus lateralis, vastus intermedius, vastus medialis, and adductor magnus achieved higher AUCs (0.816-0.957) than FF (0.773-0.862) or T1 (0.701-0.819) in differentiating the two subgroups.</p><p><strong>Data conclusion: </strong>Multi-parametric qMRI demonstrates potential as an effective tool for early differentiation between DMD and BMD.</p><p><strong>Evidence level: </strong>2 TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143557114","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 \"Influence of Multiband Technique on Temporal Diffusion Spectroscopy and Its Diagnostic Value in Breast Tumors\".","authors":"Benjamin C Musall, Ryan J Bosca-Harasim","doi":"10.1002/jmri.29753","DOIUrl":"https://doi.org/10.1002/jmri.29753","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527824","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 \"Associations of Postencephalitic Epilepsy Using Multi-Contrast Whole Brain MRI: A Large Self-Supervised Vision Foundation Model Strategy\".","authors":"Barbara A K Kreilkamp","doi":"10.1002/jmri.29751","DOIUrl":"https://doi.org/10.1002/jmri.29751","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143501963","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}
Vanessa M Diamond, Laura C Bell, Jeffrey N Bone, Bastiaan Driehuys, Martha Menchaca, Giles Santyr, Sarah Svenningsen, Robert P Thomen, Helen Marshall, Laurie J Smith, Guilhem J Collier, Jim M Wild, Jason C Woods, Sean B Fain, Rachel L Eddy, Jonathan H Rayment
{"title":"A Systematic Review of the Variability of Ventilation Defect Percent Generated From Hyperpolarized Noble Gas Pulmonary Magnetic Resonance Imaging.","authors":"Vanessa M Diamond, Laura C Bell, Jeffrey N Bone, Bastiaan Driehuys, Martha Menchaca, Giles Santyr, Sarah Svenningsen, Robert P Thomen, Helen Marshall, Laurie J Smith, Guilhem J Collier, Jim M Wild, Jason C Woods, Sean B Fain, Rachel L Eddy, Jonathan H Rayment","doi":"10.1002/jmri.29746","DOIUrl":"https://doi.org/10.1002/jmri.29746","url":null,"abstract":"<p><p>Hyperpolarized (HP) gas pulmonary MR ventilation images are typically quantified using ventilation defect percent (VDP); however, the test-retest variability of VDP has not been systematically established in multi-center trials. Herein, we perform a systematic review of the test-retest literature on the variability of VDP, and similar metrics, generated from HP MRI. This review utilizes the Medline, EMBASE, and EBM Reviews databases and includes studies that assessed the variability of HP MRI VDP. The protocol was registered to PROSPERO: CRD42022328535. Imaging techniques and statistical analysis characteristics were extracted and used to group studies to evaluate the overall ability to pool data across grouped studies. The ability to pool data to provide systematic evidence was assessed using a modified COSMIN tool. A total of 22 studies with 37 distinct aims for repeated HP MRI acquisition or quantification were included. Studies were grouped into six categories based on HP gas and analysis type: repeated imaging (<sup>129</sup>Xe n = 13, <sup>3</sup>He n = 12), interobserver repeated analysis (<sup>129</sup>Xe n = 4, <sup>3</sup>He n = 4) or intraobserver repeated analysis (<sup>129</sup>Xe n = 1, <sup>3</sup>He n = 2). Studies assessed variability using a variety of statistical tests including absolute difference, percent coefficient of variation, Bland-Altman limits of agreement, coefficient of reproducibility, or the intra-class correlation. Individual studies generally reported low variability of VDP (ICC range: 0.5-1.0; Bland-Altman bias range: -6.9-20%), but there was an overall inability to pool data and provide a meta-analysis due to methodological inconsistencies and small sample size. Overall, we found that VDP has low variability in most studies. However, inconsistent image acquisition and quantification methodologies between studies limits direct comparability and precludes grouping of study data for meta-analyses. Despite early efforts to standardize HP MRI acquisition, further work is necessary to standardize VDP quantification to allow broader validation and clinical implementation. Evidence Level: 2 Technical Efficacy: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143515866","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}
Maria L Brun-Vergara, Gerd Melkus, Santanu Chakraborty, Nader Zakhari, Carlos Torres, Fahad AlKherayf, Leya Ghantous, Rebecca Thornhill, John Woulfe, Gerard H Jansen, Thanh B Nguyen
{"title":"Diagnostic Accuracy of <sup>1</sup>H-MRS Using PRESS and MEGA-PRESS Techniques in the Preoperative Grading of Patients With Gliomas.","authors":"Maria L Brun-Vergara, Gerd Melkus, Santanu Chakraborty, Nader Zakhari, Carlos Torres, Fahad AlKherayf, Leya Ghantous, Rebecca Thornhill, John Woulfe, Gerard H Jansen, Thanh B Nguyen","doi":"10.1002/jmri.29690","DOIUrl":"https://doi.org/10.1002/jmri.29690","url":null,"abstract":"<p><strong>Background: </strong>Edited MRS technique such as MEshcher-GArwood Point RESolved Spectroscopy (MEGA-PRESS) can determine isocitrate dehydrogenase mutation (IDH) mutation status in patients with gliomas but its accuracy in assessing glioma grade has not yet been formally evaluated.</p><p><strong>Purpose: </strong>To evaluate the diagnostic accuracy of metabolites such as lactate obtained from the PRESS and MEGA-PRESS sequences in the preoperative grading of glioma. To assess the prognostic value of those metabolite ratios in the overall survival of patients with gliomas.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Sixty-nine subjects with gliomas (16 grade 2, 21 grade 3, and 32 grade 4). Mean age was 50.5 ± 16.7 years; 38 were male and 31 were female.</p><p><strong>Field strength/sequence: </strong>3 T/MEGA-PRESS, PRESS.</p><p><strong>Assessment: </strong>Single voxel PRESS and MEGA-PRESS spectra were obtained from tumors in patients undergoing preoperative MRI. Several tumor metabolites were measured from the PRESS, MEGA-PRESS edit-off, and difference spectra using LCModel (Linear Combination of Model Spectra) software. Diagnosis and glioma grading was done using the World Health Organization (WHO) 2016 classification. Overall survival was assessed.</p><p><strong>Statistical tests: </strong>Diagnostic accuracy was measured using receiver-operating characteristic (ROC) curve. Univariate and multivariate Cox proportional hazards modeling was used for the assessment of prognostic factors for time to death.</p><p><strong>Results: </strong>In the differentiation between low- vs. high-grade gliomas, tCr/tCho ratios obtained from PRESS and MEGA-PRESS sequences had similar accuracies (area under the ROC curves [AUCs] = 0.71) while Lac/NAA from PRESS had a lower accuracy (AUC = 0.65). The presence of a detectable 2-hydroxyglutarate peak on the difference spectrum was a favorable prognostic factor in univariate analysis (hazard ratio = 0.25, 95% confidence interval: 0.08-0.83). No other metabolite was found to be a significant prognostic factor in univariate and multivariate analyses.</p><p><strong>Data conclusion: </strong>Edited MRS can be used to detect metabolites which can help in the preoperative grading of gliomas and in determination of the overall survival. A separate PRESS acquisition is needed for lactate quantification.</p><p><strong>Plain language summary: </strong>Gliomas are brain tumors that vary in severity. This study explored the use of two advanced MR spectroscopy techniques (PRESS and MEGA-PRESS) in detecting tumor metabolites. The authors found that both techniques' choline/creatine ratio showed moderate accuracy in identifying high-grade gliomas. Lactate was better revealed with the PRESS technique and was associated with high-grade gliomas. They confirmed that the MEGA-PRESS technique allowed additional detection of 2-hydroxyglutarate in IDH-mutant gliomas, which was linked to better ","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483473","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}
Ameya Madhav Kulkarni, Danielle Kruse, Kelly Harper, Eric Lam, Hoda Osman, Danyaal H Ansari, Umaseh Sivanesan, Mustafa R Bashir, Andreu F Costa, Matthew McInnes, Christian B van der Pol
{"title":"Current State of Evidence for Use of MRI in LI-RADS.","authors":"Ameya Madhav Kulkarni, Danielle Kruse, Kelly Harper, Eric Lam, Hoda Osman, Danyaal H Ansari, Umaseh Sivanesan, Mustafa R Bashir, Andreu F Costa, Matthew McInnes, Christian B van der Pol","doi":"10.1002/jmri.29748","DOIUrl":"https://doi.org/10.1002/jmri.29748","url":null,"abstract":"<p><p>The American College of Radiology Liver Imaging Reporting and Data System (LI-RADS) is the preeminent framework for classification and risk stratification of liver observations on imaging in patients at high risk for hepatocellular carcinoma. In this review, the pathogenesis of hepatocellular carcinoma and the use of MRI in LI-RADS is discussed, including specifically the LI-RADS diagnostic algorithm, its components, and its reproducibility with reference to the latest supporting evidence. The LI-RADS treatment response algorithms are reviewed, including the more recent radiation treatment response algorithm. The application of artificial intelligence, points of controversy, LI-RADS relative to other liver imaging systems, and possible future directions are explored. After reading this article, the reader will have an understanding of the foundation and application of LI-RADS as well as possible future directions.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143468313","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 \"Evaluating the Potential of Quantitative Susceptibility Mapping for Detecting Iron Deposition of Renal Fibrosis in a Rabbit Model\".","authors":"Alexey V Dimov, Martin R Prince","doi":"10.1002/jmri.29729","DOIUrl":"https://doi.org/10.1002/jmri.29729","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143433332","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}