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Li Q, Zhang J, Li Q, Zhong S, Zhou X, Zou F, Deng Y, Luo X, Shen L, Chen X, Guo R. Quantification of testicular fat content: the value of evaluating testicular function after cryptorchidism surgery. Pediatr Res 2024:10.1038/s41390-024-03272-7. [PMID: 38769403 DOI: 10.1038/s41390-024-03272-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/18/2024] [Accepted: 05/01/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND To investigate the correlation between testicular fat content (TFC) and sex hormone levels in patients with cryptorchidism and its value in assessing postsurgical testicular function. METHODS Pelvic MRI with the mDIXON Quant sequence was performed on 23 cryptorchidism patients and 15 normal controls. The TFC before and after surgery was measured and compared. The correlations between cryptorchid TFC and testosterone (TSTO), follicle-stimulating hormone (FSH), and estradiol (E2) levels were analyzed, as was the specificity of TFC and each hormone for assessing testicular function after surgery. RESULTS The preoperative cryptorchid TFC (3.06% ± 0.74) was higher than that of the normal controls (1.36% ± 0.49). TSTO was negatively correlated with the cryptorchid TFC (r = -0.698), while FSH and E2 were positively associated with the cryptorchid TFC (r = 0.658, 0.676). Cryptorchid TFC after surgery (2.01% ± 0.55) was lower than the preoperative TFC, but hormone levels were not significantly different. The TFC after surgery (0.864) had a larger AUC value than did TSTO (0.639), FSH (0.597), and E2 (0.586). CONCLUSION Noninvasive quantification of cryptorchid TFC using the mDIXON Quant sequence is more specific than hormone levels for assessing postsurgical changes in testicular function. IMPACT The cryptorchid testicular fat content is significantly higher than the normal testicular fat content. Cryptorchid testicular fat content is negatively correlated with presurgical serum TSTO levels and positively correlated with presurgical FSH and E2 levels. Pre- and postoperative changes in cryptorchid testicular fat content change are more sensitive than changes in TSTO, FSH, or E2 levels. Noninvasive cryptorchid testicular fat content quantified by the mDIXON Quant sequence is more specific than serum TSTO, FSH, and E2 levels for assessing changes in testicular function after cryptorchidism surgery.
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Affiliation(s)
- Qingling Li
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
- Department of VIP Medical Center, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Jie Zhang
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Quanxi Li
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Shuangshuang Zhong
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Xiang Zhou
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Fengyun Zou
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Yayin Deng
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Xiaowen Luo
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China
| | - Lishan Shen
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China.
| | - Xi Chen
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China.
| | - Ruomi Guo
- Department of Radiology, the Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Road, Guangzhou, 510630, PR China.
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Venkatakrishna SSB, Otero HJ, Khrichenko D, Serai SD. Can Automated 3-Dimensional Dixon-Based Methods Be Used in Patients With Liver Iron Overload? J Comput Assist Tomogr 2024; 48:343-353. [PMID: 38595087 DOI: 10.1097/rct.0000000000001574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
PURPOSE Accurate quantification of liver iron concentration (LIC) can be achieved via magnetic resonance imaging (MRI). Maps of liver T2*/R2* are provided by commercially available, vendor-provided, 3-dimensional (3D) multiecho Dixon sequences and allow automated, inline postprocessing, which removes the need for manual curve fitting associated with conventional 2-dimensional (2D) gradient echo (GRE)-based postprocessing. The main goal of our study was to investigate the relationship among LIC estimates generated by 3D multiecho Dixon sequence to values generated by 2D GRE-based R2* relaxometry as the reference standard. METHODS A retrospective review of patients who had undergone MRI scans for estimation of LIC with conventional T2* relaxometry and 3D multiecho Dixon sequences was performed. A 1.5 T scanner was used to acquire the magnetic resonance studies. Acquisition of standard multislice multiecho T2*-based sequences was performed, and R2* values with corresponding LIC were estimated. The comparison between R2* and corresponding LIC estimates obtained by the 2 methods was analyzed via the correlation coefficients and Bland-Altman difference plots. RESULTS This study included 104 patients (51 male and 53 female patients) with 158 MRI scans. The mean age of the patients at the time of scan was 15.2 (SD, 8.8) years. There was a very strong correlation between the 2 LIC estimation methods for LIC values up to 3.2 mg/g (LIC quantitative multiecho Dixon [qDixon; from region of interest R2*] vs LIC GRE [in-house]: r = 0.83, P < 0.01; LIC qDixon [from segmentation volume R2*] vs LIC GRE [in-house]: r = 0.92, P < 0.01); and very weak correlation between the 2 methods at liver iron levels >7 mg/g. CONCLUSION Three-dimensional-based multiecho Dixon technique can accurately measure LIC up to 7 mg/g and has the potential to replace 2D GRE-based relaxometry methods.
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Affiliation(s)
| | | | - Dmitry Khrichenko
- From the Department of Radiology, Children's Hospital of Philadelphia
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Kitagawa T, Kozaka K, Matsubara T, Wakayama T, Takamatsu A, Kobayashi T, Okumura K, Yoshida K, Yoneda N, Kitao A, Kobayashi S, Gabata T, Matsui O, Heiken JP. Fat fraction and R2 * values of various liver masses: Initial experience with 6-point Dixon method on a 3T MRI system. Eur J Radiol Open 2023; 11:100519. [PMID: 37609047 PMCID: PMC10440393 DOI: 10.1016/j.ejro.2023.100519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/10/2023] [Accepted: 08/16/2023] [Indexed: 08/24/2023] Open
Abstract
Purpose To assess the feasibility of the 6-point Dixon method for evaluating liver masses. We also report our initial experience with the quantitative values in various liver masses on a 3T system. Materials and methods Of 251 consecutive patients for whom 6-point Dixon was employed in abdominal magnetic resonance imaging scans between October 2020 and October 2021, 117 nodules in 117 patients with a mass diameter of more than 1 cm were included in the study. Images for measuring the proton density fat fraction (PDFF) and R2 * values were obtained using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-quantitative technique for liver imaging. Two radiologists independently measured PDFF (%) and R2 * (Hz). Inter-reader agreement and the differences between readers were examined using intra-class correlation coefficient (ICC) and the Bland-Altman method, respectively. PDFF and R2 * values in differentiating liver masses were examined. Results The masses included hepatocellular carcinoma (n = 59), cyst (n = 20), metastasis (n = 14), hemangioma (n = 8), and others (n = 16). The ICCs for the region of interest (mm2), PDFF, and R2 * were 0.988 (95 % confidence interval (CI): 0.983, 0.992), 0.964 (95 % CI: 0.949, 0.975), and 0.962 (95 % CI: 0.941, 0.975), respectively. The differences of measurements between the readers showed that 5.1 % (6/117) and 6.0% (7/117) for PDFF and R2 * , respectively, were outside the 95 % CI. Conclusion Our observation indicates that the 6-point Dixon method is applicable to liver masses.
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Affiliation(s)
- Taichi Kitagawa
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Kazuto Kozaka
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Takashi Matsubara
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Tetsuya Wakayama
- Applied Science Laboratory Japan and Vascular MR, MR Clinical Solutions and Research Collaborations, GE HealthCare, 4-7-127, Asahigaoka, Hino, Tokyo 191-8503, Japan
| | - Atsushi Takamatsu
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Tomohiro Kobayashi
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Kenichiro Okumura
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Kotaro Yoshida
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Norihide Yoneda
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Azusa Kitao
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Satoshi Kobayashi
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Osamu Matsui
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, 13-1, Takara-machi, Kanazawa, Ishikawa 920-8641, Japan
| | - Jay P. Heiken
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200, First Street SW, Rochester, MN 55905, USA
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Cui B, Duan J, Zhu L, Wang G, Sun X, Su Z, Liao Y, Yi B, Li P, Li W, Song Z, Li Z, Tang H, Rong P, Zhu S. Effect of laparoscopic sleeve gastrectomy on mobilization of site-specific body adipose depots: a prospective cohort study. Int J Surg 2023; 109:3013-3020. [PMID: 37352520 PMCID: PMC10583911 DOI: 10.1097/js9.0000000000000573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/11/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Effect of bariatric surgery on mobilization of site-specific body adipose depots is not well investigated. Herein, the authors conducted a prospective cohort study to assess whether bariatric surgery can differentially affect specific fat storage pools and to further investigate correlations between site-specific fat mobilization and clinical outcomes. MATERIALS AND METHODS In this single-centre prospective cohort study, 49 participants underwent laparoscopic sleeve gastrectomy (LSG) from 24 May 2022 to 20 October 2022 and underwent MRI to estimate subcutaneous fat area, visceral fat area (VFA), hepatic and pancreatic proton density fat fraction (PDFF) at baseline and 3 months after surgery. The protocol for this study was registered on clinicaltrials.gov. RESULTS Among 49 patients who met all inclusion criteria, the median [interquartile range (IQR)] age was 31.0 (23.0-37.0) years, the median (IQR) BMI was 38.1 (33.7-42.2) kg/m 2 and 36.7% were male. Median (IQR) percentage hepatic PDFF loss was the greatest after bariatric surgery at 68.8% (47.3-79.7%), followed by percentage pancreatic PDFF loss at 51.2% (37.0-62.1%), percentage VFA loss at 36.0% (30.0-42.4%), and percentage subcutaneous fat area loss at 22.7% (17.2-32.4%) ( P <0.001). By calculating Pearson correlation coefficient and partial correlation coefficient, the positive correlations were confirmed between change in VFA and change in glycated haemoglobin ( r =0.394, P =0.028; partial r =0.428, P =0.042) and between change in hepatic PDFF and change in homoeostatic model assessment of insulin resistance ( r =0.385, P =0.025; partial r =0.403, P =0.046). CONCLUSIONS LSG preferentially mobilized hepatic fat, followed by pancreatic fat and visceral adipose tissue, while subcutaneous adipose tissue was mobilized to the least extent. Reduction in visceral adipose tissue and hepatic fat is independently associated with the improvement of glucose metabolism after LSG.
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Affiliation(s)
| | - Junhong Duan
- Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | | | | | | | | | - Yunjie Liao
- Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bo Yi
- Departments of General Surgery
| | | | | | | | | | | | - Pengfei Rong
- Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
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Zhang R, He A, Xia W, Su Y, Jian J, Liu Y, Guo Z, Shi W, Zhang Z, He B, Cheng X, Gao X, Liu Y, Wang L. Deep Learning-Based Fully Automated Segmentation of Regional Muscle Volume and Spatial Intermuscular Fat Using CT. Acad Radiol 2023; 30:2280-2289. [PMID: 37429780 DOI: 10.1016/j.acra.2023.06.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/08/2023] [Accepted: 06/14/2023] [Indexed: 07/12/2023]
Abstract
RATIONALE AND OBJECTIVES We aim to develop a CT-based deep learning (DL) system for fully automatic segmentation of regional muscle volume and measurement of the spatial intermuscular fat distribution of the gluteus maximus muscle. MATERIALS AND METHODS A total of 472 subjects were enrolled and randomly assigned to one of three groups: a training set, test set 1, and test set 2. For each subject in the training set and test set 1, we selected six slices of the CT images as the region of interest for manual segmentation by a radiologist. For each subject in test set 2, we selected all slices of the gluteus maximus muscle on the CT images for manual segmentation. The DL system was constructed using Attention U-Net and the Otsu binary thresholding method to segment the muscle and measure the fat fraction of the gluteus maximus muscle. The segmentation results of the DL system were evaluated using the Dice similarity coefficient (DSC), Hausdorff distance (HD), and the average surface distance (ASD) as metrics. Intraclass correlation coefficients (ICCs) and Bland-Altman plots were used to assess agreement in the measurements of fat fraction between the radiologist and the DL system. RESULTS The DL system showed good segmentation performance on the two test sets, with DSCs of 0.930 and 0.873, respectively. The fat fraction of the gluteus maximus muscle measured by the DL system was in agreement with the radiologist (ICC=0.748). CONCLUSION The proposed DL system showed accurate, fully automated segmentation performance and good agreement with the radiologist at fat fraction evaluation, and can be further used for muscle evaluation.
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Affiliation(s)
- Rui Zhang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China (R.Z.); Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (R.Z., W.X., J.J., W.S., X.G.)
| | - Aiting He
- Department of Radiology, Yuxi Third Hospital, Yuxi, China (A.H.)
| | - Wei Xia
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (R.Z., W.X., J.J., W.S., X.G.)
| | - Yongbin Su
- Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, China (Y.S., Y.L., Z.G., X.C., L.W.)
| | - Junming Jian
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (R.Z., W.X., J.J., W.S., X.G.)
| | - Yandong Liu
- Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, China (Y.S., Y.L., Z.G., X.C., L.W.)
| | - Zhe Guo
- Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, China (Y.S., Y.L., Z.G., X.C., L.W.)
| | - Wei Shi
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (R.Z., W.X., J.J., W.S., X.G.)
| | - Zhenguang Zhang
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (Z.Z., B.H.)
| | - Bo He
- Department of Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (Z.Z., B.H.)
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, China (Y.S., Y.L., Z.G., X.C., L.W.)
| | - Xin Gao
- Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China (R.Z., W.X., J.J., W.S., X.G.)
| | - Yajun Liu
- Department of Spine Surgery, Beijing Jishuitan Hospital, Beijing, China (Y.L.)
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing 100035, China (Y.S., Y.L., Z.G., X.C., L.W.).
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Yang M, Chen J, Yue J, He S, Fu J, Qi Y, Liu W, Xu H, Li S, Lu Q, Ma J. Liver fat is superior to visceral and pancreatic fat as a risk biomarker of impaired glucose regulation in overweight/obese subjects. Diabetes Obes Metab 2023; 25:716-725. [PMID: 36346108 DOI: 10.1111/dom.14918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/24/2022] [Accepted: 11/05/2022] [Indexed: 11/10/2022]
Abstract
AIM To investigate the distribution of abdominal fat, particularly ectopic fat accumulation, in relation to glucose metabolism in overweight/obese patients. MATERIALS AND METHODS This study included 257 overweight/obese subjects with body mass index ≥23 kg/m2 . All the subjects underwent an oral glucose tolerance test. Magnetic resonance imaging-proton density fat fraction was used to measure fat accumulation in the liver, pancreas and abdomen. Impaired glucose regulation (IGR) was defined as the presence of prediabetes or diabetes. RESULTS Liver fat content (LFC) and visceral adipose tissue (VAT) were higher in overweight/obese subjects with diabetes than in those with normal glucose tolerance (NGT). No significant differences were observed in the pancreas fat content and subcutaneous fat area between subjects with NGT and IGR. LFC was an independent risk factor of IGR (odds ratio = 1.824 per standard deviation unit, 95% CI 1.242-2.679, p = .002). Compared with the lowest tertile of LFC, the multivariate-adjusted odds ratio for the prevalence of IGR in the highest tertile was 2.842 (95% CI 1.205-6.704). However, no association was observed between the VAT per standard deviation increment and tertiles after adjusting for multiple factors. For discordant visceral and liver fat phenotypes, the high LFC-low VAT and high LFC-high VAT groups had a higher prevalence of IGR than the low LFC-low VAT group. However, there was no difference in the prevalence of IGR between the low LFC-low VAT and low LFC-high VAT groups. CONCLUSION Compared with visceral and pancreatic fat content, LFC is a superior risk biomarker for IGR in overweight/obese subjects.
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Affiliation(s)
- Minglan Yang
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Chen
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Yue
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shenyun He
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingjing Fu
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yicheng Qi
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Liu
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hua Xu
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shengxian Li
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Lu
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Ma
- Department of Endocrinology and Metabolism, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Wei X, Lin B, Huang Y, Yang S, Huang C, Shi L, Liu D, Zhang P, Lin J, Xu B, Guo D, Li C, He H, Liu S, Xue Y, Xu Y, Zhang H. Effects of Time-Restricted Eating on Nonalcoholic Fatty Liver Disease: The TREATY-FLD Randomized Clinical Trial. JAMA Netw Open 2023; 6:e233513. [PMID: 36930148 PMCID: PMC10024204 DOI: 10.1001/jamanetworkopen.2023.3513] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
IMPORTANCE The efficacy and safety of time-restricted eating (TRE) on nonalcoholic fatty liver disease (NAFLD) remain uncertain. OBJECTIVE To compare the effects of TRE vs daily calorie restriction (DCR) on intrahepatic triglyceride (IHTG) content and metabolic risk factors among patients with obesity and NAFLD. DESIGN, SETTING, AND PARTICIPANTS This 12-month randomized clinical trial including participants with obesity and NAFLD was conducted at the Nanfang Hospital in Guangzhou, China, between April 9, 2019, and August 28, 2021. INTERVENTIONS Participants with obesity and NAFLD were randomly assigned to TRE (eating only between 8:00 am and 4:00 pm) or DCR (habitual meal timing). All participants were instructed to maintain a diet of 1500 to 1800 kcal/d for men and 1200 to 1500 kcal/d for women for 12 months. MAIN OUTCOMES AND MEASURES The primary outcome was change in IHTG content measured by magnetic resonance imaging; secondary outcomes were changes in body weight, waist circumference, body fat, and metabolic risk factors. Intention-to-treat analysis was used. RESULTS A total of 88 eligible patients with obesity and NAFLD (mean [SD] age, 32.0 [9.5] years; 49 men [56%]; and mean [SD] body mass index, 32.2 [3.3]) were randomly assigned to the TRE (n = 45) or DCR (n = 43) group. The IHTG content was reduced by 8.3% (95% CI, -10.0% to -6.6%) in the TRE group and 8.1% (95% CI, -9.8% to -6.4%) in the DCR group at the 6-month assessment. The IHTG content was reduced by 6.9% (95% CI, -8.8% to -5.1%) in the TRE group and 7.9% (95% CI, -9.7% to -6.2%) in the DCR group at the 12-month assessment. Changes in IHTG content were comparable between the 2 groups at 6 months (percentage point difference: -0.2; 95% CI, -2.7 to 2.2; P = .86) and 12 months (percentage point difference: 1.0; 95% CI, -1.6 to 3.5; P = .45). In addition, liver stiffness, body weight, and metabolic risk factors were significantly and comparably reduced in both groups. CONCLUSIONS AND RELEVANCE Among adults with obesity and NAFLD, TRE did not produce additional benefits for reducing IHTG content, body fat, and metabolic risk factors compared with DCR. These findings support the importance of caloric intake restriction when adhering to a regimen of TRE for the management of NAFLD. TRIAL REGISTRATION ClinicalTrials.gov Identifiers: NCT03786523 and NCT04988230.
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Affiliation(s)
- Xueyun Wei
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Bingquan Lin
- Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Huang
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
| | - Shunyu Yang
- Department of Nutrition, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chensihan Huang
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Linna Shi
- Department of Nutrition, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Deying Liu
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Peizhen Zhang
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiayang Lin
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Bingyan Xu
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dan Guo
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Hua He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Shiqun Liu
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yaoming Xue
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yikai Xu
- Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Huijie Zhang
- Department of Endocrinology and Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, China
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Impact of physiological parameters on the parotid gland fat fraction in a normal population. Sci Rep 2023; 13:990. [PMID: 36653427 PMCID: PMC9849206 DOI: 10.1038/s41598-023-28193-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
Quantifying physiological fat tissue in the organs is important to further assess the organ's pathologic status. This study aimed to investigate the impact of body mass index (BMI), age, and sex on the fat fraction of normal parotid glands. Patients undergoing magnetic resonance imaging (MRI) of iterative decomposition of water and fat with echo asymmetry and least squares estimation (IDEAL-IQ) due to non-salivary gland-related disease were reviewed. Clinical information of individual patients was categorized into groups based on BMI (under/normal/overweight), age (age I/age II/age III), and sex (female/male) and an inter-group comparison of the fat fraction values of both parotid glands was conducted. Overall, in the 626 parotid glands analyzed, the fat fraction of the gland was 35.80%. The mean fat fraction value increased with BMI (30.23%, 35.74%, and 46.61% in the underweight, normal and overweight groups, respectively [p < 0.01]) and age (32.42%, 36.20%, and 41.94% in the age I, II, and III groups, respectively [p < 0.01]). The fat content of normal parotid glands varies significantly depending on the body mass and age regardless of sex. Therefore, the patient's age and body mass should be considered when evaluating fatty change in the parotid glands in imaging results.
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Zou L, Zhang H, Wang Q, Zhong W, Du Y, Liu H, Xing W. Simultaneous liver steatosis, fibrosis and iron deposition quantification with mDixon quant based on radiomics analysis in a rabbit model. Magn Reson Imaging 2022; 94:36-42. [PMID: 35988836 DOI: 10.1016/j.mri.2022.08.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/08/2022] [Accepted: 08/14/2022] [Indexed: 11/17/2022]
Abstract
PURPOSE To evaluate the feasibility of simultaneous quantification of liver fibrosis, liver steatosis and abnormal iron deposition using mDixon Quant based on radiomics analysis, and to eliminate the interference among different histopathologic features. METHODS One hundred and twenty rabbits that were administered CCl4 for 4-16 weeks and a cholesterol rich diet for the initial 4 weeks in the experimental group and 20 rabbits in the control group were examined using mDixon. Radiomics features of the whole liver were extracted from PDFF and R2* and radiomics models for discriminating steatosis: S0-S1 vs. S2-S4, fibrosis: F0-F2 vs. F3-F4 and iron deposition: normal vs. abnormal were constructed respectively and evaluated using receiver operating characteristic (ROC) curves with the histopathological results as reference standard. Combined corrected models merging the radscore and the other two histopathologic features were evaluated using multiple logistic regression analyses and compared with radiomics models. RESULTS The area under the ROC curve (AUC) of the radiomics model with PDFF features was 0.886 and 0.843 in the training and the test set, respectively, for the diagnosis of liver steatosis grade S0-1 and S2-S4. The radiomics model based on R2* features were 0.815 and 0.801 for distinguishing F0-F2 and F3-F4 and 0.831 and 0.738 for discriminating abnormal iron deposition in the training and test set, respectively. The corrected model for liver steatosis and fibrosis (0.944 and 0.912 in the test set) outperformed the radiomics models by eliminating the interference of histopathologic features(P < 0.05), but had comparable diagnostic performance for abnormal iron deposition(P > 0.05). CONCLUSIONS It is feasible for mDixon to simultaneously quantify whole liver steatosis, fibrosis and iron deposition based on radiomics analysis. It is valuable to minimize the interference of different pathological features for the assessment of liver steatosis and fibrosis.
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Affiliation(s)
- LiQiu Zou
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, China
| | - Hao Zhang
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, China
| | - Qing Wang
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213200, China
| | - WenXin Zhong
- Department of Radiology, Sixth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, China
| | - YaNan Du
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213200, China
| | - HaiFeng Liu
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213200, China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213200, China.
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Sotozono H, Kanki A, Yasokawa K, Yamamoto A, Sanai H, Moriya K, Tamada T. Value of 3-T MR imaging in intraductal papillary mucinous neoplasm with a concomitant invasive carcinoma. Eur Radiol 2022; 32:8276-8284. [PMID: 35665843 DOI: 10.1007/s00330-022-08881-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/26/2022] [Accepted: 05/12/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To examine the value of 3-T MRI for evaluating the difference between the pancreatic parenchyma of intraductal papillary mucinous neoplasm with a concomitant invasive carcinoma (IPMN-IC) and the pancreatic parenchyma of patients without an IPMN-IC. METHODS A total of 132 patients underwent abdominal 3-T MRI. Of the normal pancreatic parenchymal measurements, the pancreas-to-muscle signal intensity ratio in in-phase imaging (SIR-I), SIR in opposed-phase imaging (SIR-O), SIR in T2-weighted imaging (SIR-T2), ADC (×10-3 mm2/s) in DWI, and proton density fat fraction (PDFF [%]) in multi-echo 3D DIXON were calculated. The patients were divided into three groups (normal pancreas group: n = 60, intraductal papillary mucinous neoplasm (IPMN) group: n = 60, IPMN-IC group: n = 12). RESULTS No significant differences were observed among the three groups in age, sex, body mass index, prevalence of diabetes mellitus, and hemoglobin A1c (p = 0.141 to p = 0.657). In comparisons among the three groups, the PDFF showed a significant difference (p < 0.001), and there were no significant differences among the three groups in SIR-I, SIR-O, SIR-T2, and ADC (p = 0.153 to p = 0.684). The PDFF of the pancreas was significantly higher in the IPMN-IC group than in the normal pancreas group or the IPMN group (p < 0.001 and p < 0.001, respectively), with no significant difference between the normal pancreas group and the IPMN group (p = 0.916). CONCLUSIONS These observations suggest that the PDFF of the pancreas is associated with the presence of IPMN-IC. KEY POINTS • The cause and risk factors of IPMN with a concomitant invasive carcinoma have not yet been clarified. • The PDFF of the pancreas was significantly higher in the IPMN-IC group than in the normal pancreas group or the IPMN group. • Pancreatic PDFF may be a potential biomarker for the development of IPMN with a concomitant invasive carcinoma.
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Affiliation(s)
- Hidemitsu Sotozono
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan.
| | - Akihiko Kanki
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan
| | - Kazuya Yasokawa
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan
| | - Akira Yamamoto
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan
| | - Hiroyasu Sanai
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan
| | - Kazunori Moriya
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan
| | - Tsutomu Tamada
- Department of Radiology, Kawasaki Medical School, 577 Matsushima, Kurashiki city, Okayama, 701-0192, Japan
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Adding liver R2* quantification to proton density fat fraction MRI of vertebral bone marrow improves the prediction of osteoporosis. Eur Radiol 2022; 32:7108-7116. [PMID: 35610386 DOI: 10.1007/s00330-022-08861-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 04/28/2022] [Accepted: 05/03/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVES To assess the predictive value of the combination of bone marrow (BM) proton density fat fraction (PDFF) and liver R2* for osteopenia and osteoporosis and the additional role of liver R2*. METHODS A total of 107 healthy women were included between June 2019 and January 2021. Each participant underwent dual-energy X-ray absorptiometry (DXA) and chemical shift-encoded 3.0-T MRI. PDFF measurements were performed for each lumbar vertebral body, and R2* measurements were performed in liver segments. Agreement among measurements was assessed by Bland-Altman analysis. Receiver operating characteristic (ROC) curves were generated to select optimised cut-offs for BM PDFF and liver R2*. Univariable and multivariable logistic regressions were performed. The C statistic and continuous net reclassification improvement (NRI) were adopted to explore the incremental predictive ability of liver R2*. RESULTS Bone mass decreased in 42 cases (39.3%) and nonbone mass decreased in 65 cases (60.7%). There were significant differences among the age groups, menopausal status groups, PDFF > 45.0% groups, and R2* > 67.7 groups. Each measurement had good reproducibility. The odds ratios (95% CIs) were 4.05 (1.22-13.43) for PDFF and 4.34 (1.41-13.35) for R2*. The C statistic (95% CI) without R2* was 0.888 (0.827-0.950), and with R2* was 0.900 (0.841-0.960). The NRI resulting from the combination of PDFF and R2* was 75.6% (p < 0.01). CONCLUSION The predictive improvement over the use of BM PDFF and other traditional risk factors demonstrates the potential of liver R2* as a biomarker for osteopenia and osteoporosis in healthy women. KEY POINTS • Liver R2* is a biomarker for the assessment of osteopenia and osteoporosis. • Liver R2* improved the ability to predict osteopenia and osteoporosis. • The intra- and interobserver measurements showed high agreement.
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Wang TY, Nie P, Zhao X, Wang HX, Wan GY, Zhou RZ, Zhong X, Zhang Y, Yu TB, Hao DP. Proton density fat fraction measurements of rotator cuff muscles: Accuracy, repeatability, and reproducibility across readers and scanners. Magn Reson Imaging 2022; 92:260-267. [PMID: 35623416 DOI: 10.1016/j.mri.2022.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To determine the accuracy, repeatability, and reproducibility of magnetic resonance imaging-based proton density fat fraction (MRI-PDFF) measurements of rotator cuff muscles between two readers and three different scanners. METHODS Thirty-one volunteers underwent serial shoulder MRI examinations of both left and right sides on one 1.5-T MRI scanner and two 3.0-T MRI scanners. Two independent readers measured muscular PDFF of the supraspinatus, infraspinatus/teres minor muscle, and subscapularis. MR spectroscopy-based proton density fat fraction (MRS-PDFF) was regarded as the reference standard for assessing accuracy. A "coffee break" examination method was used to test the repeatability of each scanner. Bland-Altman plots, Pearson correlation, and linear regression analysis were used to assess bias and linearity. The Wilcoxon signed-rank test and Friedman test were applied to evaluate repeatability and reproducibility. RESULTS MRI-PDFF measurements indicated strong linearity (R2 = 0.749) and small bias (-0.18%) in comparison with the MRS-PDFF measurements. A very strong positive Pearson correlation (r = 0.955-0.986) between the PDFF estimates of the two repeat scans indicated excellent repeatability. The PDFF measurements showed high reproducibility, with a strong positive Pearson correlation (r = 0.668-0.698) and a small mean bias (-0.04 to -0.10%) across different scanners. CONCLUSION MRI-PDFF measurements of rotator cuff muscles were highly accurate, repeatable, and reproducible across different readers and scanners, leading us to the conclusion that PDFF can be a reliable and robust quantitative imaging biomarker for longitudinal or multi-center studies.
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Affiliation(s)
- Tong-Yu Wang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Pei Nie
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Xia Zhao
- Department of Sports Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - He-Xiang Wang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Guang-Yao Wan
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Rui-Zhi Zhou
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Xin Zhong
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Yi Zhang
- Department of Sports Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China
| | - Teng-Bo Yu
- Department of Sports Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China.
| | - Da-Peng Hao
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong, China.
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Cao D, Li M, Liu Y, Jin H, Yang D, Xu H, Lv H, Liu JI, Zhang P, Zhang Z, Yang Z. Comparison of reader agreement, correlation with liver biopsy, and time-burden sampling strategies for liver proton density fat fraction measured using magnetic resonance imaging in patients with obesity: a secondary cross-sectional study. BMC Med Imaging 2022; 22:92. [PMID: 35581577 PMCID: PMC9112589 DOI: 10.1186/s12880-022-00821-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 05/10/2022] [Indexed: 11/29/2022] Open
Abstract
Background The magnetic resonance imaging (MRI)-based proton density fat fraction (PDFF) has become popular for quantifying liver fat content. However, the variability of the region-of-interest (ROI) sampling strategy may result in a lack of standardisation of this technology. In an effort to establish an accurate and effective PDFF measurement scheme, this study assessed the pathological correlation, the reader agreement, and time-burden of different sampling strategies with variable ROI size, location, and number. Methods Six-echo spoiled gradient-recalled-echo magnitude-based fat quantification was performed for 50 patients with obesity, using a 3.0-T MRI scanner. Two readers used different ROI sampling strategies to measure liver PDFF, three times. Intra-reader and inter-reader agreement was evaluated using intra-class correlation coefficients and Bland‒Altman analysis. Pearson correlations were used to assess the correlation between PDFFs and liver biopsy. Time-burden was recorded. Results For pathological correlations, the correlations for the strategy of using three large ROIs in Couinaud segment 3 (S3 3L-ROI) were significantly greater than those for all sampling strategies at the whole-liver level (P < 0.05). For inter-reader agreement, the sampling strategies at the segmental level for S3 3L-ROI and using three large ROIs in Couinaud segment 6 (S6 3L-ROI) and the sampling strategies at the whole-liver level for three small ROIs per Couinaud segment (27S-ROI), one large ROI per Couinaud segment (9L-ROI), and three large ROIs per Couinaud segment (27S-ROI) had limits of agreement (LOA) < 1.5%. For intra-reader agreement, the sampling strategies at the whole-liver level for 27S-ROI, 9L-ROI, and 27L-ROI had both intraclass coefficients > 0.995 and LOAs < 1.5%. The change in the time-burden was the largest (100.80 s) when 9L-ROI was changed to 27L-ROI. Conclusions For hepatic PDFF measurement without liver puncture biopsy as the gold standard, and for general hepatic PDFF assessment, 9L-ROI sampling strategy at the whole-liver level should be used preferentially. For hepatic PDFF with liver puncture biopsy as the gold standard, 3L-ROI sampling strategy at the puncture site segment is recommended.
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Affiliation(s)
- Di Cao
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Mengyi Li
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Yang Liu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - He Jin
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Dawei Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Hui Xu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Han Lv
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - JIa Liu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Peng Zhang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China
| | - Zhongtao Zhang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University and National Clinical Research Center for Digestive Diseases, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China.
| | - Zhenghan Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong-an Road, Xi-Cheng District, Beijing, 100050, China.
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Rohani SC, Morin CE, Zhong X, Kannengiesser S, Shrestha U, Goode C, Holtrop J, Khan A, Loeffler RB, Hankins JS, Hillenbrand CM, Tipirneni-Sajja A. Hepatic Iron Quantification Using a Free-Breathing 3D Radial Gradient Echo Technique and Validation With a 2D Biopsy-Calibrated R 2* Relaxometry Method. J Magn Reson Imaging 2022; 55:1407-1416. [PMID: 34545639 PMCID: PMC10424632 DOI: 10.1002/jmri.27921] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Hepatic iron content (HIC) is an important parameter for the management of iron overload. Non-invasive HIC assessment is often performed using biopsy-calibrated two-dimensional breath-hold Cartesian gradient echo (2D BH GRE) R2* -MRI. However, breath-holding is not possible in most pediatric patients or those with respiratory problems, and three-dimensional free-breathing radial GRE (3D FB rGRE) has emerged as a viable alternative. PURPOSE To evaluate the performance of a 3D FB rGRE and validate its R2* and fat fraction (FF) quantification with 3D breath-hold Cartesian GRE (3D BH cGRE) and biopsy-calibrated 2D BH GRE across a wide range of HICs. STUDY TYPE Retrospective. SUBJECTS Twenty-nine patients with hepatic iron overload (22 females, median age: 15 [5-25] years). FIELD STRENGTH/SEQUENCE Three-dimensional radial and 2D and 3D Cartesian multi-echo GRE at 1.5 T. ASSESSMENT R2* and FF maps were computed for 3D GREs using a multi-spectral fat model and 2D GRE R2* maps were calculated using a mono-exponential model. Mean R2* and FF values were calculated via whole-liver contouring and T2* -thresholding by three operators. STATISTICAL TESTS Inter- and intra-observer reproducibility was assessed using Bland-Altman and intraclass correlation coefficient (ICC). Linear regression and Bland-Altman analysis were performed to compare R2* and FF values among the three acquisitions. One-way repeated-measures ANOVA and Wilcoxon signed-rank tests, respectively, were used to test for significant differences between R2* and FF values obtained with different acquisitions. Statistical significance was assumed at P < 0.05. RESULTS The mean biases and ICC for inter- and intra-observer reproducibility were close to 0% and >0.99, respectively for both R2* and FF. The 3D FB rGRE R2* and FF values were not significantly different (P > 0.44) and highly correlated (R2 ≥ 0.98) with breath-hold Cartesian GREs, with mean biases ≤ ±2.5% and slopes 0.90-1.12. In non-breath-holding patients, Cartesian GREs showed motion artifacts, whereas 3D FB rGRE exhibited only minimal streaking artifacts. DATA CONCLUSION Free-breathing 3D radial GRE is a viable alternative in non-breath-hold patients for accurate HIC estimation. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Shawyon Chase Rohani
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Cara E. Morin
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Xiaodong Zhong
- MR R&D Collaborations, Siemens Medical Solutions USA, Inc., Los Angeles, CA, USA
| | | | - Utsav Shrestha
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA
| | - Chris Goode
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Joseph Holtrop
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Ayaz Khan
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Ralf B. Loeffler
- Research Imaging NSW, University of New South Wales, Sydney, Australia
| | - Jane S. Hankins
- Department of Hematology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | | | - Aaryani Tipirneni-Sajja
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, USA
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Wang X, Tan Y, Liu D, Shen H, Deng Y, Tan Y, Wang L, Zhang Y, Ma X, Zeng X, Zhang J. Chemotherapy-associated steatohepatitis was concomitant with epicardial adipose tissue volume increasing in breast cancer patients who received neoadjuvant chemotherapy. Eur Radiol 2022; 32:4898-4908. [PMID: 35394181 DOI: 10.1007/s00330-022-08581-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/08/2022] [Accepted: 01/12/2022] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To investigate the prevalence of chemotherapy-associated steatohepatitis, quantitate the epicardial adipose tissue (EAT) volume in breast cancer patients, and explore the mediating effect of liver fat content on EAT volume in breast cancer patients who received neoadjuvant chemotherapy (NAC). METHODS From October 2018 to April 2020, patients were retrospectively reviewed and divided into breast cancer non-NAC and NAC groups. The prevalence of chemotherapy-associated steatohepatitis was evaluated through quantitative MRI mDIXON-Quant examinations by using defined proton density fat fraction cutoffs of liver fat. The EAT volume was quantified on chest CT by semi-automatic volume analysis software. Bootstrap analysis was used in the breast cancer NAC group to test the significance of the mediating effect of liver fat content on EAT volume. RESULTS A total of 662 breast cancer patients (non-NAC group: 445 patients; NAC group: 217 patients) were included. The prevalence of chemotherapy-associated steatohepatitis in the NAC group was significantly higher than the prevalence of hepatic steatosis in the non-NAC group (42.8% vs. 33.3%, p < 0.001). EAT volume was measured in 561 of 662 breast cancer patients, and was significantly higher in the NAC group than in the non-NAC group (137.26 ± 53.48 mL vs. 125.14 ± 58.77 mL, p = 0.020). In the breast cancer NAC group, the indirect effect of liver fat content on EAT volume was 2.545 (p < 0.001), and the contribution rate to the effect was 69.1%. CONCLUSIONS EAT volume was significantly higher in the BC-NAC group than in the BC-non-NAC group. KEY POINTS • The prevalence of CASH was as high as 42.8% in BC patients. • NAC significantly increased the EAT volume in BC patients. • The liver fat content caused the change of EAT volume through mediating effect.
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Affiliation(s)
- Xiaoxia Wang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Yuchuan Tan
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Daihong Liu
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Hesong Shen
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Yongchun Deng
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China
| | - Yong Tan
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Lei Wang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Yipeng Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Xin Ma
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China
| | - Xiaohua Zeng
- Department of Breast Cancer Center, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, 400030, People's Republic of China.
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, No.181 Hanyu Road, Shapingba District, Chongqing, 400030, People's Republic of China.
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Xiong Y, He T, Liu WV, Zhang Y, Hu S, Wen D, Wang Y, Zhang P, He F, Li X. Quantitative assessment of lumbar spine bone marrow in patients with different severity of CKD by IDEAL-IQ magnetic resonance sequence. Front Endocrinol (Lausanne) 2022; 13:980576. [PMID: 36204094 PMCID: PMC9530399 DOI: 10.3389/fendo.2022.980576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/29/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) has a significant negative impact on bone health. Bone marrow is an essential component of bone, mainly composed of trabecular bone and fat. The IDEAL-IQ sequence of MRI allows indirect quantification of trabecular bone mass by R2* and direct quantification of bone marrow fat content by FF map, respectively. OBJECTIVE Our objective was to explore the association of CKD severity with bone marrow using IDEAL-IQ and whether mineral and bone metabolism markers alter this association. METHOD We recruited 68 CKD patients in this cross-sectional research (15 with CKD stages 3-4, 26 with stage 5, and 27 with stage 5d). All patients underwent lumbar spine IDEAL-IQ, BMD, and several bone metabolism markers (iPTH, 25-(OH)-VitD, calcium and phosphorus). Multiple linear regression analysis was used to examine the association of CKD severity with MRI measurements (R2* and FF). RESULTS More severe CKD was associated with a higher R2* value [CKD 5d versus 3-4: 30.077 s-1 (95% CI: 12.937, 47.217), P for trend < 0.001], and this association was attenuated when iPTH was introduced [CKD 5d versus 3-4: 19.660 s-1 (95% CI: 0.205, 39.114), P for trend = 0.042]. Furthermore, iPTH had an association with R2* value [iPTH (pg/mL): 0.033 s-1 (95% CI: 0.001, 0.064), P = 0.041]. Besides, FF was mainly affected by age and BMI, but not CKD. CONCLUSIONS The bone marrow R2* value measured by IDEAL-IQ sequence is associated with CKD severity and iPTH. The R2* of IDEAL-IQ has the potential to reflect lumbar bone changes in patients with CKD.
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Affiliation(s)
- Yan Xiong
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tongxiang He
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Yao Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Donglin Wen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanan Wang
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peisen Zhang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Fan He
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Fan He, ; Xiaoming Li,
| | - Xiaoming Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Fan He, ; Xiaoming Li,
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Weingärtner S, Desmond KL, Obuchowski NA, Baessler B, Zhang Y, Biondetti E, Ma D, Golay X, Boss MA, Gunter JL, Keenan KE, Hernando D. Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group. Magn Reson Med 2021; 87:1184-1206. [PMID: 34825741 DOI: 10.1002/mrm.29084] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/20/2021] [Accepted: 10/27/2021] [Indexed: 12/26/2022]
Abstract
On behalf of the International Society for Magnetic Resonance in Medicine (ISMRM) Quantitative MR Study Group, this article provides an overview of considerations for the development, validation, qualification, and dissemination of quantitative MR (qMR) methods. This process is framed in terms of two central technical performance properties, i.e., bias and precision. Although qMR is confounded by undesired effects, methods with low bias and high precision can be iteratively developed and validated. For illustration, two distinct qMR methods are discussed throughout the manuscript: quantification of liver proton-density fat fraction, and cardiac T1 . These examples demonstrate the expansion of qMR methods from research centers toward widespread clinical dissemination. The overall goal of this article is to provide trainees, researchers, and clinicians with essential guidelines for the development and validation of qMR methods, as well as an understanding of necessary steps and potential pitfalls for the dissemination of quantitative MR in research and in the clinic.
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Affiliation(s)
- Sebastian Weingärtner
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Kimberly L Desmond
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Nancy A Obuchowski
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bettina Baessler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Yuxin Zhang
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Emma Biondetti
- Department of Neuroscience, Imaging and Clinical Sciences, D'Annunzio University of Chieti and Pescara, Chieti, Italy
| | - Dan Ma
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xavier Golay
- Brain Repair & Rehabilitation, Institute of Neurology, University College London, United Kingdom.,Gold Standard Phantoms Limited, Rochester, United Kingdom
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, Pennsylvania, USA
| | | | - Kathryn E Keenan
- National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Diego Hernando
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA
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18
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Athithan L, Gulsin GS, House MJ, Pang W, Brady EM, Wormleighton J, Parke KS, Graham-Brown M, St. Pierre TG, Levelt E, McCann GP. A comparison of liver fat fraction measurement on MRI at 3T and 1.5T. PLoS One 2021; 16:e0252928. [PMID: 34255778 PMCID: PMC8277031 DOI: 10.1371/journal.pone.0252928] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 05/26/2021] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Volumetric liver fat fraction (VLFF) measurements were made using the HepaFat-Scan® technique at 1.5T and 3T to determine the agreement between the measurements obtained at the two fields. METHODS Sixty patients with type 2 diabetes (67% male, mean age 50.92 ± 6.56yrs) and thirty healthy volunteers (50% male, mean age 48.63 ± 6.32yrs) were scanned on 1.5T Aera and 3T Skyra (Siemens, Erlangen, Germany) MRI scanners on the same day using the HepaFat-Scan® gradient echo protocol with modification of echo times for 3T (TEs 2.38, 4.76, 7.14 ms at 1.5T and 1.2, 2.4, 3.6 ms at 3T). The 3T analyses were performed independently of the 1.5T analyses by a different analyst, blinded from the 1.5T results. Data were analysed for agreement and bias using Bland-Altman methods and intraclass correlation coefficients (ICC). A second cohort of 17 participants underwent interstudy repeatability assessment of VLFF measured by HepaFat-Scan® at 3T. RESULTS A small, but statistically significant mean bias of 0.48% was observed between 3T and 1.5T with 95% limits of agreement -2.2% to 3.2% VLFF. The ICC for agreement between field strengths was 0.983 (95% CI 0.972-0.989). In the repeatability cohort studied at 3T the repeatability coefficient was 4.2%. The ICC for agreement was 0.971 (95% CI 0.921-0.989). CONCLUSION There is minimal bias and excellent agreement between the measures of VLFF using the HepaFat-Scan® at 1.5 and 3T. The test retest repeatability coefficient at 3T is comparable to the 95% limits of agreement between 1.5T and 3T suggesting that measurements can be made interchangeably between field strengths.
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Affiliation(s)
- Lavanya Athithan
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Gaurav S. Gulsin
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Michael J. House
- Department of Physics, The University of Western Australia, Crawley, Western Australia, Australia
- Resonance Health Ltd, Burswood, Western Australia, Australia
| | - Wenjie Pang
- Resonance Health Ltd, Burswood, Western Australia, Australia
| | - Emer M. Brady
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Joanne Wormleighton
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Kelly S. Parke
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Matthew Graham-Brown
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Tim G. St. Pierre
- Department of Physics, The University of Western Australia, Crawley, Western Australia, Australia
| | - Eylem Levelt
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Gerry P. McCann
- Department of Cardiovascular Sciences, University of Leicester and NIHR Leicester Cardiovascular Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
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Yang F, Li QL, Wen HQ, Xie WJ, Shen LS, Luo XW, Zhang YF, Guo RM. Quantification of penile fat infiltration using the mDIXON Quant sequence: a pilot study on the correlation with penis hardness and erectile dysfunction. Br J Radiol 2021; 94:20201400. [PMID: 33882248 DOI: 10.1259/bjr.20201400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE The purpose of this study was to determine fat/water signal ratios using the mDIXON Quant sequence, quantitatively assess fat infiltration in the penis, and explore its possible relationship with penile hardness and erectile dysfunction. METHODS Routine pelvic MRI with the mDIXON Quant sequence was performed in 62 subjects, including 22 people in the normal group, 20 people in the normal erectile hardness group, and 20 people in the erectile dysfunction (ED) group. The fat/water signal ratio in the penis was measured using the mDIXON Quant sequence. Shear wave elastography was used to evaluate the hardness of the corpus cavernosa of the penis. RESULTS The fat/water signal ratio of the corpus spongiosum was significantly lower than that of the corpus cavernosa in the normal group (p = 0.03) and ED group (p < 0.01). There was no significant difference in the fat/water signal ratios between the normal group and the normal erectile hardness group. Fat infiltration was significantly lower, and erectile hardness was significantly higher in the normal erectile hardness group than in the ED group, and the fat infiltration in the left and right corpus cavernosa was inversely proportional to the erectile hardness of the penis. CONCLUSION This study suggests that mDIXON Quant can be used as a non-invasive, quantitative, and objective method for evaluating penile fat infiltration. This method could help diagnose penile fat infiltration in patients with erectile dysfunction and varying body mass indexes. Our results could also allow for a more accurate diagnosis and monitoring of erectile hardness function by quantitatively measuring penile fat infiltration. ADVANCES IN KNOWLEDGE (1) The proton density fat fraction technology is a new tool for the objective, quantitative and non-invasive evaluation of penile fat infiltration. (2) The quantitative measurement of fat infiltration in the corpora cavernosa might help diagnose and monitor penile erection hardness and its function more accurately.
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Affiliation(s)
- Fei Yang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Department of Urology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qing-Ling Li
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Department of VIP Medical Center, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Hui-Quan Wen
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Wen-Jun Xie
- Department of Operation Room, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Li-Shan Shen
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Xiao-Wen Luo
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yu-Feng Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Department of Infectious Disease, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Ruo-Mi Guo
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
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20
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Serai SD, Panganiban J, Dhyani M, Degnan AJ, Anupindi SA. Imaging Modalities in Pediatric NAFLD. Clin Liver Dis (Hoboken) 2021; 17:200-208. [PMID: 33868666 PMCID: PMC8043697 DOI: 10.1002/cld.994] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/05/2020] [Accepted: 06/12/2020] [Indexed: 02/04/2023] Open
Affiliation(s)
- Suraj D. Serai
- Department of RadiologyThe Children’s Hospital of PhiladelphiaPhiladelphiaPA,Perelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Jennifer Panganiban
- Department of Gastroenterology, Hepatology and NutritionThe Children's Hospital of PhiladelphiaPhiladelphiaPA
| | - Manish Dhyani
- Department of RadiologyLahey Hospital and Medical CenterBurlingtonMA
| | - Andrew J. Degnan
- Department of RadiologyThe Children’s Hospital of PhiladelphiaPhiladelphiaPA
| | - Sudha A. Anupindi
- Department of RadiologyThe Children’s Hospital of PhiladelphiaPhiladelphiaPA,Perelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
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21
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Schneider E, Remer EM, Obuchowski NA, McKenzie CA, Ding X, Navaneethan SD. Long-term inter-platform reproducibility, bias, and linearity of commercial PDFF MRI methods for fat quantification: a multi-center, multi-vendor phantom study. Eur Radiol 2021; 31:7566-7574. [PMID: 33768291 DOI: 10.1007/s00330-021-07851-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 02/10/2021] [Accepted: 03/02/2021] [Indexed: 01/29/2023]
Abstract
OBJECTIVES Proton density fat fraction (PDFF) is a validated biomarker of tissue fat quantification. However, validation has been limited to single-center or multi-center series using non-FDA-approved software. Thus, we assess the bias, linearity, and long-term reproducibility of PDFF obtained using commercial PDFF packages from several vendors. METHODS Over 35 months, 438 subjects and 16 volunteers from a multi-center observational trial underwent PDFF MRI measurements using a 3-T MR system from one of three different vendors or a 1.5-T system from one vendor. Fat-water phantom sets were measured as part of each subject's examination. Manual region-of-interest measurements on the %fat image, then cross-sectional bias, linearity, and long-term reproducibility were assessed. RESULTS Three hundred ninety-two phantom measurements were evaluable (90%). Bias ranged from 2.4 to - 3.8% for the lowest to the highest weight %fat. Regression fits of PDFF against synthesis weight %fat showed negligible non-linear effects and a linear slope of 0.94 (95% confidence interval: 0.938, 0.947). We observed significant vendor (p < 0.001) and field strength (p < 0.001) differences in bias and longitudinal variability. When the results were pooled across sites, vendors, and field strengths, the estimated reproducibility coefficient was 6.93% (95% CI: 6.25%, 7.81%). CONCLUSIONS This study demonstrated good linearity, accuracy, and reproducibility for all investigated manufacturers and field strengths. However, significant vendor-dependent and field strength-dependent bias were found. While longitudinal PDFF measurements may be made using different field strength or vendor MR systems, if the MR system is not the same, based on these results, only PDFF changes ≥ 7% can be considered a true difference. KEY POINTS • Phantom fat fraction (PDFF) MRI measurements over 35 months demonstrated good linearity, accuracy, and reproducibility for the vendor systems investigated. • Non-linear effects were negligible (linear slope of 0.94) over 0-100% fat; however, significant vendor (p < 0.001) and field strength (p<0.001) differences in bias and longitudinal variability were identified. Bias ranged from 2.4 to - 3.8% for 0-100 weight% fat, respectively. • Measurement bias could affect the accuracy of PDFF in clinical use. As the reproducibility coefficient was 6.93%, only greater changes in % fat can be considered true differences when making longitudinal PDFF measurements on different MR systems.
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Affiliation(s)
- Erika Schneider
- Imaging Institute, Cleveland Clinic, 9500 Euclid Avenue, A21, Cleveland, OH, 44195, USA
| | - Erick M Remer
- Imaging Institute, Cleveland Clinic, 9500 Euclid Avenue, A21, Cleveland, OH, 44195, USA. .,Glickman Urological and Kidney Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
| | - Nancy A Obuchowski
- Imaging Institute, Cleveland Clinic, 9500 Euclid Avenue, A21, Cleveland, OH, 44195, USA.,Department of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA
| | - Charles A McKenzie
- CAnatomical Research Services and Medical Biophysics, University of Western Ontario, London, Ontario, Canada
| | - Xiaobo Ding
- Imaging Institute, Cleveland Clinic, 9500 Euclid Avenue, A21, Cleveland, OH, 44195, USA.,Department of Radiology, First Hospital of Jilin University, Changchun, 130021, China
| | - Sankar D Navaneethan
- Glickman Urological and Kidney Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.,Department of Medicine-Nephrology, Baylor College of Medicine, Houston, TX, USA
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Rajlawot K, Jiang T, Zhou J, Lin C, Kuang S, Chen J, Zhang Y, Yang H, Deng Y, He B, Hernando D, Reeder SB, Wang J. Accuracies of Chemical Shift In/Opposed Phase and Chemical Shift Encoded Magnetic Resonance Imaging to Detect Intratumoral Fat in Hepatocellular Carcinoma. J Magn Reson Imaging 2021; 53:1791-1802. [PMID: 33580551 DOI: 10.1002/jmri.27539] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 01/08/2021] [Accepted: 01/11/2021] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND Magnetic Resonance Imaging (MRI) being a noninvasive modality may help in preoperative evaluation of intratumoral fat in hepatocellular carcinoma (HCC) using chemical shift encoded (CSE) MRI and in-/opposed-phase (IOP) imaging sequences. PURPOSE To compare the diagnostic accuracy of chemical shift encoded fat fraction at three different flip angles (FAs) using quantitative chemical shift encoded MRI (CSE-MRI) with in-/opposed phase (IOP) imaging to evaluate intratumoral fat in HCC. STUDY TYPE Retrospective. POPULATION Eighty-six patients with 87 pathology proven HCCs. FIELD STRENGTH/SEQUENCE IOP (LAVA-Flex) and CSE-MRI (IDEAL IQ) a three-dimensional spoiled gradient-echo pulse sequences acquired at 3 T. ASSESSMENT Regions of interest (ROIs) were manually drawn by two observers in the tumors to measure mean fat fractions. Surgical specimens were reassessed for intratumoral fat content. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed for CSE-MRI sequence at FA 3°, 8°, and 9°. STATISTICAL TESTS Intraclass correlation coefficient (ICC) was expressed in terms of inter- and intra-observer agreements. Receiver operating characteristic curve analysis was performed for the diagnostic performance followed by combined metric of both. SNR/CNR were analyzed by Kruskal-Wallis test. RESULTS Excellent inter- and intra-observer agreements (ICC >0.95, P < 0.001) were observed for both IOP and CSE-MRI. IOP (86.4%) showed higher sensitivity than CSE-MRI at FA 3° (72.5%), FA 8° (76.4%) and FA 9° (76.3%). In contrast, the specificity for CSE-MRI at FA 3° (86%), FA 8° (87%), and FA 9° (87%) were greater than IOP (72%). A combined metric of IOP and CSE-MRI derived fat fractions at FA 8° gave highest AUC of 87% and accuracy of 86%. SNR and CNR for CSE-MRI were significantly higher at FA 8° and FA 9° than FA 3° (P < 0.05). DATA CONCLUSION IOP and quantitative CSE-MRI are both feasible methods to detect intratumoral fat in HCC with higher accuracy and SNR for CSE-MRI at FA 8° and 9°. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Kritisha Rajlawot
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Ting Jiang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Jing Zhou
- Department of Pathology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - ChuRong Lin
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Sichi Kuang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Jingbiao Chen
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Yao Zhang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Hao Yang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Ying Deng
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Bingjun He
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
| | - Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
| | - Scott B Reeder
- Departments of Radiology and Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
| | - Jin Wang
- Department of Radiology, Third Affiliated Hospital of Sun Yat sen University (SYSU), Guangzhou, China
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23
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Hu HH, Yokoo T, Bashir MR, Sirlin CB, Hernando D, Malyarenko D, Chenevert TL, Smith MA, Serai SD, Middleton MS, Henderson WC, Hamilton G, Shaffer J, Shu Y, Tkach JA, Trout AT, Obuchowski N, Brittain JH, Jackson EF, Reeder SB. Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study. Radiology 2021; 298:640-651. [PMID: 33464181 DOI: 10.1148/radiol.2021202912] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background Proton density fat fraction (PDFF) estimated by using chemical shift-encoded (CSE) MRI is an accepted imaging biomarker of hepatic steatosis. This work aims to promote standardized use of CSE MRI to estimate PDFF. Purpose To assess the accuracy of CSE MRI methods for estimating PDFF by determining the linearity and range of bias observed in a phantom. Materials and Methods In this prospective study, a commercial phantom with 12 vials of known PDFF values were shipped across nine U.S. centers. The phantom underwent 160 independent MRI examinations on 27 1.5-T and 3.0-T systems from three vendors. Two three-dimensional CSE MRI protocols with minimal T1 bias were included: vendor and standardized. Each vendor's confounder-corrected complex or hybrid magnitude-complex based reconstruction algorithm was used to generate PDFF maps in both protocols. The Siemens reconstruction required a configuration change to correct for water-fat swaps in the phantom. The MRI PDFF values were compared with the known PDFF values by using linear regression with mixed-effects modeling. The 95% CIs were calculated for the regression slope (ie, proportional bias) and intercept (ie, constant bias) and compared with the null hypothesis (slope = 1, intercept = 0). Results Pooled regression slope for estimated PDFF values versus phantom-derived reference PDFF values was 0.97 (95% CI: 0.96, 0.98) in the biologically relevant 0%-47.5% PDFF range. The corresponding pooled intercept was -0.27% (95% CI: -0.50%, -0.05%). Across vendors, slope ranges were 0.86-1.02 (vendor protocols) and 0.97-1.0 (standardized protocol) at 1.5 T and 0.91-1.01 (vendor protocols) and 0.87-1.01 (standardized protocol) at 3.0 T. The intercept ranges (absolute PDFF percentage) were -0.65% to 0.18% (vendor protocols) and -0.69% to -0.17% (standardized protocol) at 1.5 T and -0.48% to 0.10% (vendor protocols) and -0.78% to -0.21% (standardized protocol) at 3.0 T. Conclusion Proton density fat fraction estimation derived from three-dimensional chemical shift-encoded MRI in a commercial phantom was accurate across vendors, imaging centers, and field strengths, with use of the vendors' product acquisition and reconstruction software. © RSNA, 2021 See also the editorial by Dyke in this issue.
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Affiliation(s)
- Houchun H Hu
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Takeshi Yokoo
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Mustafa R Bashir
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Claude B Sirlin
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Diego Hernando
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Dariya Malyarenko
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Thomas L Chenevert
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Mark A Smith
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Suraj D Serai
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Michael S Middleton
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Walter C Henderson
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Gavin Hamilton
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Jean Shaffer
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Yunhong Shu
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Jean A Tkach
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Andrew T Trout
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Nancy Obuchowski
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Jean H Brittain
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Edward F Jackson
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
| | - Scott B Reeder
- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
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- From the Department of Radiology, Nationwide Children's Hospital, 700 Children's Dr, Columbus, OH 43235 (H.H.H., M.A.S.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (T.Y.); Department of Radiology (M.R.B., J.S.), Department of Medicine, Division of Gastroenterology (M.R.B.), and Center for Advanced Magnetic Resonance Development (M.R.B., J.S.), Duke University Medical Center, Durham, NC; Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, Calif (C.B.S., M.S.M., W.C.H., G.H.); Departments of Radiology (D.H., J.H.B., S.B.R.), Medical Physics (D.H., E.F.J., S.B.R.), Biomedical Engineering (S.B.R.), Medicine (S.B.R.), and Emergency Medicine (S.B.R.), University of Wisconsin, Madison, Wis; Department of Radiology, University of Michigan, Ann Arbor, Mich (D.M., T.L.C.); Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pa (S.D.S.); Department of Radiology, Mayo Clinic, Rochester, Minn (Y.S.); Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio (J.A.T., A.T.T.); Department of Quantitative Health Science, Cleveland Clinic Foundation, Cleveland, Ohio (N.O.); and Calimetrix, LLC, Madison, Wis (J.H.B.)
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Hasenstab K, Cunha GM, Ichikawa S, Dehkordy SF, Lee MH, Kim SJ, Schlein A, Covarrubias Y, Sirlin CB, Fowler KJ. CNN color-coded difference maps accurately display longitudinal changes in liver MRI-PDFF. Eur Radiol 2021; 31:5041-5049. [PMID: 33449180 DOI: 10.1007/s00330-020-07649-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/24/2020] [Accepted: 12/18/2020] [Indexed: 01/19/2023]
Abstract
OBJECTIVES To assess the feasibility of a CNN-based liver registration algorithm to generate difference maps for visual display of spatiotemporal changes in liver PDFF, without needing manual annotations. METHODS This retrospective exploratory study included 25 patients with suspected or confirmed NAFLD, who underwent PDFF-MRI at two time points at our institution. PDFF difference maps were generated by applying a CNN-based liver registration algorithm, then subtracting follow-up from baseline PDFF maps. The difference maps were post-processed by smoothing (5 cm2 round kernel) and applying a categorical color scale. Two fellowship-trained abdominal radiologists and one radiology resident independently reviewed difference maps to visually determine segmental PDFF change. Their visual assessment was compared with manual ROI-based measurements of each Couinaud segment and whole liver PDFF using intraclass correlation (ICC) and Bland-Altman analysis. Inter-reader agreement for visual assessment was calculated (ICC). RESULTS The mean patient age was 49 years (12 males). Baseline and follow-up PDFF ranged from 2.0 to 35.3% and 3.5 to 32.0%, respectively. PDFF changes ranged from - 20.4 to 14.1%. ICCs against the manual reference exceeded 0.95 for each reader, except for segment 2 (2 readers ICC = 0.86-0.91) and segment 4a (reader 3 ICC = 0.94). Bland-Altman limits of agreement were within 5% across all three readers. Inter-reader agreement for visually assessed PDFF change (whole liver and segmental) was excellent (ICCs > 0.96), except for segment 2 (ICC = 0.93). CONCLUSIONS Visual assessment of liver segmental PDFF changes using a CNN-generated difference map strongly agreed with manual estimates performed by an expert reader and yielded high inter-reader agreement. KEY POINTS • Visual assessment of longitudinal changes in quantitative liver MRI can be performed using a CNN-generated difference map and yields strong agreement with manual estimates performed by expert readers.
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Affiliation(s)
- Kyle Hasenstab
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA.
- Department of Mathematics and Statistics, San Diego State University, San Diego, CA, USA.
| | - Guilherme Moura Cunha
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | | | - Soudabeh Fazeli Dehkordy
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Min Hee Lee
- Soonchunhyang University Bucheon Hospital, Gyeonggi-do, South Korea
| | - Soo Jin Kim
- National Cancer Center, Republic of Korea, Gyeonggi-do, South Korea
| | - Alexandra Schlein
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Yesenia Covarrubias
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Kathryn J Fowler
- Liver Imaging Group, Department of Radiology, University of California, San Diego, La Jolla, CA, USA
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Tada T, Kumada T, Toyoda H, Nakamura S, Shibata Y, Yasuda S, Watanuki Y, Tsujii K, Fukuda N, Fujioka M, Takeshima K, Niwa F, Ogawa S, Hashinokuchi S, Kataoka S, Ichikawa H, Iijima H. Attenuation imaging based on ultrasound technology for assessment of hepatic steatosis: A comparison with magnetic resonance imaging-determined proton density fat fraction. Hepatol Res 2020; 50:1319-1327. [PMID: 32876367 DOI: 10.1111/hepr.13563] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/02/2020] [Accepted: 08/16/2020] [Indexed: 02/06/2023]
Abstract
AIM A new method has recently been developed for diagnosing hepatic steatosis based on attenuation measurement using ultrasound. We investigated the ability of attenuation imaging (ATI) to detect steatosis that was identified by proton density fat fraction (PDFF) on magnetic resonance imaging (MRI) in patients with chronic liver disease. METHODS A total of 119 patients with chronic liver disease (non-B, non-C) were analyzed. The relationship between ATI values and steatosis grades determined by PDFF was evaluated. Additionally, the diagnostic ability of ATI was evaluated using receiver operating characteristic curve analysis, and the correlation between ATI values and PDFF values was determined. RESULTS The ATI values of steatosis grades 0, 1, 2, and 3 were 0.55, 0.61, 0.74, and 0.84 dB/cm/MHz, respectively (P < 0.001). There was a statistically significant trend of higher ATI values with higher steatosis grades (P < 0.001). The correlation coefficient (r) between PDFF values and ATI values was 0.70 (95% confidence interval [CI] 0.59-0.78; P < 0.001), corresponding to a strong relationship. The diagnostic ability of ATI for steatosis grades ≥1, ≥2, and 3, as determined by PDFF, were 0.81 (95% CI 0.73-0.89), 0.87 (95% CI 0.79-0.96), and 0.94 (95% CI 0.89-0.98), respectively. The r between PDFF values and ATI values was 0.49 (95% CI 0.31-0.63; P < 0.001) for patients with mild or no steatosis (grade ≤1), and 0.75 (95% CI 0.57-0.86; P < 0.001) for obese patients (body mass index ≥25 kg/m2 ). CONCLUSION ATI values had an excellent diagnostic ability to detect hepatic steatosis.
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Affiliation(s)
- Toshifumi Tada
- Department of Internal Medicine, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Takashi Kumada
- Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Gifu, Japan
| | - Hidenori Toyoda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Shinichiro Nakamura
- Department of Internal Medicine, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Yusuke Shibata
- Department of Internal Medicine, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Satoshi Yasuda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Yutaka Watanuki
- Department of Clinical Laboratory, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Kazuyuki Tsujii
- Department of Clinical Laboratory, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Naoya Fukuda
- Department of Radiology Engineering, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Mamoru Fujioka
- Department of Radiology Engineering, Himeji Red Cross Hospital, Himeji, Hyogo, Japan
| | - Kenji Takeshima
- Department of Clinical Research, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Fumihiko Niwa
- Department of Clinical Research, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Sadanobu Ogawa
- Department of Clinical Research, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | | | - Saki Kataoka
- Department of Clinical Research, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Hironori Ichikawa
- Department of Clinical Research, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Hiroko Iijima
- Ultrasound Imaging Center, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
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Del Chicca F, Richter H, Steger GL, Salesov E, Reusch CE, Kircher PR. Sample strategies for quantification of hepatic fat fraction mean MRI in healthy cats during body weight gain. PLoS One 2020; 15:e0241905. [PMID: 33180808 PMCID: PMC7660519 DOI: 10.1371/journal.pone.0241905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 10/22/2020] [Indexed: 11/26/2022] Open
Abstract
Hepatic fat fraction (HFF) can be non-invasively estimated with magnetic resonance imaging (MRI) multiple echo gradient recalled echo (GRE) sequence. The aim of this study was to test different methods of sampling strategies to quantify the HFF in healthy cats during body weight gain. Twelve healthy adult male cats were examined in a 3 Tesla MRI unit. Sequences included morphological images, and multiple echo GRE sequence. Cats were scanned at the beginning of the study and twice, each 20 weeks apart during body weight gain. HFF was calculated with 5 different methods of sampling on the multiple echo GRE sequence with different number, size and position of regions of interest (ROIs) and by 2 operators. Results indicated that HFF increased with increasing body weight, and the increase was appreciated with all the 5 methods. There was overall excellent agreement (interclass correlation coefficient = 0.820 (95% confidence interval:0.775–0.856)) between the 2 operators. HFF in the left lateral hepatic lobe was lower than in the other analyzed lobes. HFF measured on large free-hand drawn ROIs was higher than HFF measured with smaller ROIs size. This study proves that different sampling methods for quantification of HFF on multiple echo GRE sequence have overall excellent repeatability and ability to appreciate increased HFF.
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Affiliation(s)
- Francesca Del Chicca
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse-Faculty Zurich, Zurich, Switzerland
- * E-mail:
| | - Henning Richter
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse-Faculty Zurich, Zurich, Switzerland
| | - Gian-Luca Steger
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse-Faculty Zurich, Zurich, Switzerland
| | - Elena Salesov
- Clinic of Small Animal Internal Medicine, Vetsuisse-Faculty Zurich, Zurich, Switzerland
| | - Claudia E. Reusch
- Clinic of Small Animal Internal Medicine, Vetsuisse-Faculty Zurich, Zurich, Switzerland
| | - Patrick R. Kircher
- Clinic for Diagnostic Imaging, Department of Diagnostics and Clinical Services, Vetsuisse-Faculty Zurich, Zurich, Switzerland
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Steger GL, Salesov E, Richter H, Reusch CE, Kircher PR, Del Chicca F. Evaluation of the changes in hepatic apparent diffusion coefficient and hepatic fat fraction in healthy cats during body weight gain. Am J Vet Res 2020; 81:796-803. [PMID: 32969732 DOI: 10.2460/ajvr.81.10.796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To determine the change in mean hepatic apparent diffusion coefficient (ADC) and hepatic fat fraction (HFF) during body weight gain in cats by use of MRI. ANIMALS 12 purpose-bred adult neutered male cats. PROCEDURES The cats underwent general health and MRI examination at time 0 (before dietary intervention) and time 1 (after 40 weeks of being fed high-energy food ad libitum). Sequences included multiple-echo gradient-recalled echo MRI and diffusion-weighted MRI with 3 b values (0, 400, and 800 s/mm2). Variables (body weight and the HFF and ADC in selected regions of interest in the liver parenchyma) were compared between time points by Wilcoxon paired-sample tests. Relationships among variables were assessed with generalized mixed-effects models. RESULTS Median body weight was 4.5 and 6.5 kg, mean ± SD HFF was 3.39 ± 0.89% and 5.37 ± 1.92%, and mean ± SD hepatic ADC was 1.21 ± 0.08 × 10-3 mm2/s and 1.01 ± 0.2 × 10-3 mm2/s at times 0 and 1, respectively. Significant differences between time points were found for body weight, HFF, and ADC. The HFF was positively associated with body weight and ADC was negatively associated with HFF. CONCLUSIONS AND CLINICAL RELEVANCE Similar to findings in people, cats had decreasing hepatic ADC as HFF increased. Protons associated with fat tissue in the liver may reduce diffusivity, resulting in a lower ADC than in liver with lower HFF. Longer studies and evaluation of cats with different nutritional states are necessary to further investigate these findings.
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Kuetting D, Luetkens J, Fimmers R, Sprinkart AM, Attenberger U, Pieper CC. MRI Assessment of Chylous and Nonchylous Effusions: Use of Multipoint Dixon Fat Quantification. Radiology 2020; 296:698-705. [PMID: 32662762 DOI: 10.1148/radiol.2020200089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Diagnosis of chylous effusions normally requires invasive paracentesis. Purpose To assess whether MRI with multipoint Dixon fat quantification allows for noninvasive differentiation of chylous and nonchylous ascites and pleural effusions. Materials and Methods Phantom, ex vivo, and in vivo MRI examinations were performed by using a commercially available multipoint Dixon pulse sequence with a 1.5-T MRI system. Fat fraction values were measured with a region of interest-based approach on reconstructed maps. For phantom evaluation, eight titrated fatty fluid solutions (nonhuman samples) with varying triglyceride content (145-19 000 mg/dL [1.64-214.7 mmol/L]) were examined. For ex vivo evaluation, 15 chylous and five nonchylous study participant fluid samples were examined. In a prospective study performed from June 2016 to February 2018, 29 study participants with known chylous (n = 17) and nonchylous (n = 12) effusions were evaluated with MRI. All clinical samples underwent laboratory testing for triglyceride level, total protein level, white blood cells, and red blood cells. Laboratory values were correlated with fat fraction values; the optimal fat fraction threshold was determined to differentiate chylous and nonchylous fluids. Results Phantom analysis showed that fat fraction values correlated with triglyceride content (r = 0.99, P < .001). In ex vivo studies, multipoint Dixon-derived fat fraction was higher in chylous versus nonchylous fluids (mean, 2.5% ± 1.2 [standard deviation] vs 0.8% ± 0.2; P = .001). Fat fraction was correlated with triglyceride content (r = 0.96, P < .001). For in vivo studies, fat fraction was greater for chylous versus nonchylous fluids (mean, 6.2% ± 4.3 vs 0.6% ± 0.6; P < .001). In vivo fat fraction was correlated with triglyceride content (r = 0.96, P < .001). Use of a fat fraction cutoff value greater than 1.8% yielded a sensitivity of 14 of 17 (82% [95% confidence interval (CI): 57%, 97%]) and a specificity of 12 of 12 (100% [95% CI: 74%, 100%]) for differentiation of chylous and nonchylous effusions. Conclusion MRI can help identify chylous versus nonchylous ascites and pleural effusions through use of multipoint Dixon fat quantification. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Daniel Kuetting
- From the Department of Radiology (D.K., J.L., A.M.S., U.A., C.C.P.) and Department of Medical Biometry, Informatics, and Epidemiology (R.F.), University of Bonn, Venusberg Campus 1, 53105 Bonn, Germany
| | - Julian Luetkens
- From the Department of Radiology (D.K., J.L., A.M.S., U.A., C.C.P.) and Department of Medical Biometry, Informatics, and Epidemiology (R.F.), University of Bonn, Venusberg Campus 1, 53105 Bonn, Germany
| | - Rolf Fimmers
- From the Department of Radiology (D.K., J.L., A.M.S., U.A., C.C.P.) and Department of Medical Biometry, Informatics, and Epidemiology (R.F.), University of Bonn, Venusberg Campus 1, 53105 Bonn, Germany
| | - Alois M Sprinkart
- From the Department of Radiology (D.K., J.L., A.M.S., U.A., C.C.P.) and Department of Medical Biometry, Informatics, and Epidemiology (R.F.), University of Bonn, Venusberg Campus 1, 53105 Bonn, Germany
| | - Ulrike Attenberger
- From the Department of Radiology (D.K., J.L., A.M.S., U.A., C.C.P.) and Department of Medical Biometry, Informatics, and Epidemiology (R.F.), University of Bonn, Venusberg Campus 1, 53105 Bonn, Germany
| | - Claus C Pieper
- From the Department of Radiology (D.K., J.L., A.M.S., U.A., C.C.P.) and Department of Medical Biometry, Informatics, and Epidemiology (R.F.), University of Bonn, Venusberg Campus 1, 53105 Bonn, Germany
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Quantification of liver fat content in liver and primary liver lesions using triple-echo-gradient-echo MRI. Eur Radiol 2020; 30:4752-4761. [PMID: 32318848 DOI: 10.1007/s00330-020-06757-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 01/22/2020] [Accepted: 02/17/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To quantify and compare the fat fraction of background liver and primary liver lesions using a triple-echo-gradient-echo sequence. M&M: This IRB-approved study included 128 consecutive patients who underwent a liver MRI for lesion characterization. Fat fraction from the whole lesion volume and the normal liver parenchyma were computed from triple-echo (consecutive in-phase, opposed-phase, in-phase echo times) sequence. RESULTS Forty-seven hepatocellular carcinoma (HCCs), 25 hepatocellular adenomas (HCAs), and 56 focal nodular hyperplasia (FNH) were included. The mean intralesional fat fraction for various lesions was 7.1% (range, 0.5-23.6; SD, 5.6) for HCAs, 5.7% (range, 0.8-14; SD, 2.9) for HCCs, and 2.3% (range, 0.8-10.3; SD, 1.9) for FNHs (p = 0.6 for HCCs vs HCA, p < 0.001 for FNH vs HCCs or HCA). A fat fraction threshold of 2.7% enabled distinction between HCA and FNH with a sensitivity of 80% and a specificity of 77%. The mean normal liver parenchyma fat fraction was lower than the intralesional fat fraction in the HCC group (p = 0.04) and higher in the FNH group (p = 0.001), but not significantly different in the HCA group (p = 0.51). CONCLUSION Triple-echo-gradient-echo is a feasible technique to quantify fat fraction of background liver and primary liver lesions. Intralesional fat fraction obtained from lesion whole volume is greater for HCCs and HCA compared to FNH. When trying to distinguish FNH and HCA, an intralesional fat fraction < 2.7% may orient toward the diagnosis of FNH. KEY POINTS • Triple-echo technique is feasible to quantify intralesional fat fraction of primary liver lesions. • Whole volume intralesional fat fraction is greater for HCCs and HCA compared to FNH. • An intralesional fat fraction < 2.7% may orient toward the diagnosis of FNH.
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Quantification of testicular fat deposition in the evaluation of middle-aged overweight male infertility. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 33:377-384. [PMID: 31845302 DOI: 10.1007/s10334-019-00803-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To measure the testicular volume and testicular fat deposition of middle-aged overweight men and to assess the utility of testicular fat deposition and testicular volume in determining and monitoring testicular infertility. MATERIALS AND METHODS Pelvic MRI with thin slice T2WI, T1WI and mDIXON Quant was performed on 30 middle-aged overweight patients in the treatment group and 30 middle-aged overweight men in the control group. Testicular volume and testicular fat deposition were measured separately based on thin slice T2WI and the fat fraction (FF) map of mDIXON Quant, and the testicular fat deposition observed with T1WI was used as a reference for qualitative diagnosis. Testicular volume and testicular fat deposition in middle-aged overweight individuals were compared using a t test with Bonferroni correction and receiver operating characteristic (ROC) curve. RESULTS The testicular volumes (10.6-17.9 cm3) of individuals in the treatment group were smaller than those (12.6-19.0 cm3) of individuals in the control group (p < 0.05), and the average FF value (2.2-4.6%) of the testes in the treatment group was higher than that (1.5-3.1%) in the control group (p < 0.05). The ROC analysis showed that the area under the curve (AUC) of testicular fat deposition (0.899) was higher than that of testicular volume (0.777), and biopsy and sperm count were used as references to diagnose infertility. The diagnostic sensitivity (90.00%) of testicular fat deposition of the mDIXON Quant sequence was higher than that (50.00%) of the T1W sequence (p < 0.05). Testicular fat deposition was decreased after 6 months of active treatment with exercise weight loss and drug treatment, and no significant change in testicular volume was observed 6 months later. CONCLUSION The findings suggest that the proton density fat fraction (mDIXON Quant sequence in this study) approach is a novel tool for the quantitative and objective evaluation of testicular fat deposition. Testicular fat deposition measurement is more specific than testicular volume measurement in the diagnosis of male infertility, and the mDIXON Quant is more sensitive than T1WI in the diagnosis of testicular fat deposition. Furthermore, our findings may facilitate a more accurate diagnosis and monitoring of testicular infertility, therapeutic effect, and prognosis by measuring testicular fat deposition.
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Whole-body bone marrow DWI correlates with age, anemia, and hematopoietic activity. Eur J Radiol 2019; 118:223-230. [DOI: 10.1016/j.ejrad.2019.07.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/26/2019] [Accepted: 07/17/2019] [Indexed: 11/24/2022]
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Agreement and Reproducibility of Proton Density Fat Fraction Measurements Using Commercial MR Sequences Across Different Platforms. Invest Radiol 2019; 54:517-523. [DOI: 10.1097/rli.0000000000000561] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Degnan AJ, Ho-Fung VM, Ahrens-Nicklas RC, Barrera CA, Serai SD, Wang DJ, Ficicioglu C. Imaging of non-neuronopathic Gaucher disease: recent advances in quantitative imaging and comprehensive assessment of disease involvement. Insights Imaging 2019; 10:70. [PMID: 31289964 PMCID: PMC6616606 DOI: 10.1186/s13244-019-0743-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 04/29/2019] [Indexed: 12/17/2022] Open
Abstract
Gaucher disease is an inherited metabolic disorder resulting in deficiency of lysosomal enzyme β-glucocerebrosidase causing the accumulation of abnormal macrophages (“Gaucher cells”) within multiple organs, most conspicuously affecting the liver, spleen, and bone marrow. As the most common glycolipid metabolism disorder, it is important for radiologists encountering these patients to be familiar with advances in imaging of organ and bone marrow involvement and understand the role of imaging in clinical decision-making. The recent advent of commercially available, reliable, and reproducible quantitative MRI acquisitions to measure fat fractions prompts revisiting the role of quantitative assessment of bone marrow involvement. This manuscript reviews the diverse imaging manifestations of Gaucher disease and discusses more optimal quantitative approaches to ascertain solid organ and bone marrow involvement with an emphasis on future applications of other quantitative methods including elastography.
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Affiliation(s)
- Andrew J Degnan
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA. .,Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA, 19104, USA.
| | - Victor M Ho-Fung
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA.,Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - Rebecca C Ahrens-Nicklas
- Division of Human Genetics, The Children's Hospital of Philadelphia, Colket Translational Research Building, 3501 Civic Center Blvd, Floor 9, Philadelphia, PA, 19104, USA.,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - Christian A Barrera
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - Suraj D Serai
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - Dah-Jyuu Wang
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA, 19104, USA
| | - Can Ficicioglu
- Division of Human Genetics, The Children's Hospital of Philadelphia, Colket Translational Research Building, 3501 Civic Center Blvd, Floor 9, Philadelphia, PA, 19104, USA.,Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA, 19104, USA
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Comparison of navigator-gated and breath-held image acquisition techniques for multi-echo quantitative dixon imaging of the liver in children and young adults. Abdom Radiol (NY) 2019; 44:2172-2181. [PMID: 30815713 DOI: 10.1007/s00261-019-01960-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE Acquired over a breath hold, multi-echo Dixon (mDixon) magnetic resonance imaging (MRI) of the liver can be used to quantify proton density fat fraction (PDFF) and iron-related signal decay. However, young, obese, and co-morbid patients may have limited breath holding capacity and could benefit from a motion-robust mDixon acquisition. The purpose of this study was to compare hepatic PDFF and R2* values between navigator-gated and breath-held mDixon MRI acquisition techniques in children and young adults with suspected liver disease. MATERIALS AND METHODS This retrospective study was institutional review board-approved with a waiver of informed consent. Patients who underwent liver MRI with breath-held and navigator-gated mDixon sequences between January 2017 and July 2018 were included. One reviewer, blinded to sequence, measured PDFF and R2* on four images from each sequence. Another blinded reviewer graded respiratory motion (5-point Likert scale). Pearson correlation (r), Lin's concordance coefficients (rc), and Bland-Altman analyses were used to assess agreement between techniques. Frequency of clinically limiting motion (score ≥ 3) was compared with Fisher's exact test. RESULTS Forty-two patients were included (15 female, 27 male; mean age: 15.7 ± 4.6 years). Mean PDFF and R2* were 16.6 ± 13.1% and 29.3 ± 4.7 s-1 (breath-held) versus 17.0 ± 13.2% and 29.6 ± 5.2 s-1 (navigator-gated). PDFF agreed almost perfectly between sequences (rc = 0.997, 95% CI 0.994-0.998; mean bias: 0.3%; 95% limits of agreement: - 2.4 to +1.7%), while R2* values correlated very strongly but with poor agreement (r = 0.837, rc = 0.832, 95% CI 0.716-0.910). Navigator-gated images exhibited significantly higher frequency of clinically limiting respiratory motion (88% vs. 48%, p = 0.0001). CONCLUSION Despite greater respiratory motion artifact, a free-breathing navigator-gated mDixon sequence produces PDFF values with almost perfect agreement to a breath-held sequence.
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Chen Y, Long L, Jiang Z, Zhang L, Zhong D, Huang X. Quantification of pancreatic proton density fat fraction in diabetic pigs using MR imaging and IDEAL-IQ sequence. BMC Med Imaging 2019; 19:38. [PMID: 31088378 PMCID: PMC6515681 DOI: 10.1186/s12880-019-0336-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Accepted: 04/25/2019] [Indexed: 12/12/2022] Open
Abstract
Background Recent studies have highlighted the correlation between diabetes and pancreatic fat infiltration. Notably, pancreatic fat content (PFC) is a potential biomarker in diabetic patients, and magnetic resonance imaging (MRI) provides an effective method for noninvasive assessment of pancreatic fat infiltration. However, most reports of quantitative measurement of pancreatic fat have lacked comparisons of pathology results. The primary objective of this study was to determine the feasibility and accuracy of pancreatic MRI by using pancreatic fat fraction (PFF) measurements with the IDEAL-IQ sequence; the secondary objective was to explore changes in PFC between pigs with and without diabetes. Methods In this prospective study, 13 Bama Mini-pigs (7 females, 6 males; median age, 2 weeks) were randomly assigned to diabetes (n = 7) or control (n = 6) groups. Pigs in the diabetes group received high fat/high sugar feed, combined with streptozotocin injections. At the end of 15 months, biochemical changes were evaluated. All pigs underwent axial MRI with the IDEAL-IQ sequence to measure PFF; PFC of fresh pancreatic parenchyma was measured by the Soxhlet extraction method; and pancreatic fat distribution was observed by histopathology. Results of all analyses were compared between the diabetes and control groups by using the Mann-Whitney U-test. Correlations of PFF and PFC, fasting blood glucose (GLU), and serum insulin (INS) were calculated by using the Spearman correlation coefficient. Single-measure intraclass correlation coefficient (ICC) was used to assess interreader agreement. Results There were significant differences between diabetes and control groups: GLU (mmol/L) was 18.06 ± 6.03 and 5.06 ± 1.41 (P < 0.001); INS (mU/L) was 21.59 ± 2.93 and 29.32 ± 3.27 (P = 0.003); PFC (%) was 34.60 ± 3.52 and 28.63 ± 3.25 (P = 0.027); and PFF (%) was 36.51 ± 4.07 and 27.75 ± 3.73 (P = 0.003). There was a strongly positive correlation between PFF and PFC (r = 0.934, P < 0.001); there were moderate correlations between PFF and GLU (r = 0.736, P = 0.004; positive correlation), and between PFF and INS (r = − 0.747, P = 0.003; negative correlation). Excellent interreader agreement was observed for PFF measurements (ICC, 0.954). Conclusions Pancreatic fat infiltration shows a clear association with diabetes. MRI with the IDEAL-IQ sequence can be used to accurately and reproducibly quantify PFC.
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Affiliation(s)
- Yidi Chen
- Radiology Department, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Liling Long
- Radiology Department, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China.
| | - Zijian Jiang
- Radiology Department, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Ling Zhang
- Radiology Department, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Delin Zhong
- Radiology Department, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China
| | - Xialing Huang
- Radiology Department, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi, China
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Chen Y, Jiang Z, Long L, Miu Y, Zhang L, Zhong D, Tang Q. Magnetic resonance imaging: Proton density fat fraction for assessment of pancreatic fatty infiltration during progression of T2DM bama minipigs. J Magn Reson Imaging 2019; 50:1905-1913. [PMID: 31006935 DOI: 10.1002/jmri.26754] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 04/03/2019] [Accepted: 04/03/2019] [Indexed: 12/15/2022] Open
Affiliation(s)
- Yidi Chen
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Zijian Jiang
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Liling Long
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Yongjian Miu
- First Affiliated Hospital of Guangxi Medical UniversityPathology Department Guangxi China
| | - Ling Zhang
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Delin Zhong
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
| | - Qin Tang
- First Affiliated Hospital of Guangxi Medical UniversityRadiology Department Guangxi China
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Schmeel FC, Vomweg T, Träber F, Gerhards A, Enkirch SJ, Faron A, Sprinkart AM, Schmeel LC, Luetkens JA, Thomas D, Kukuk GM. Proton density fat fraction MRI of vertebral bone marrow: Accuracy, repeatability, and reproducibility among readers, field strengths, and imaging platforms. J Magn Reson Imaging 2019; 50:1762-1772. [PMID: 30980694 DOI: 10.1002/jmri.26748] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 04/01/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Chemical shift-encoding based water-fat MRI is an emerging method to noninvasively assess proton density fat fraction (PDFF), a promising quantitative imaging biomarker for estimating tissue fat concentration. However, in vivo validation of PDFF is still lacking for bone marrow applications. PURPOSE To determine the accuracy and precision of MRI-determined vertebral bone marrow PDFF among different readers and across different field strengths and imager manufacturers. STUDY TYPE Repeatability/reproducibility. SUBJECTS Twenty-four adult volunteers underwent lumbar spine MRI with one 1.5T and two different 3.0T MR scanners from two vendors on the same day. FIELD STRENGTH/SEQUENCE 1.5T and 3.0T/3D spoiled-gradient echo multipoint Dixon sequences. ASSESSMENT Two independent readers measured intravertebral PDFF for the three most central slices of the L1-5 vertebral bodies. Single-voxel MR spectroscopy (MRS)-determined PDFF served as the reference standard for PDFF estimation. STATISTICAL TESTS Accuracy and bias were assessed by Pearson correlation, linear regression analysis, and Bland-Altman plots. Repeatability and reproducibility were evaluated by Wilcoxon signed rank test, Friedman test, and coefficients of variation. Intraclass correlation coefficients were used to validate intra- and interreader as well as intraimager agreements. RESULTS MRI-based PDFF estimates of lumbar bone marrow were highly correlated (r2 = 0.899) and accurate (mean bias, -0.6%) against the MRS-determined PDFF reference standard. PDFF showed high linearity (r2 = 0.972-0.978) and small mean bias (0.6-1.5%) with 95% limits of agreement within ±3.4% across field strengths, imaging platforms, and readers. Repeatability and reproducibility of PDFF were high, with the mean overall coefficient of variation being 0.86% and 2.77%, respectively. The overall intraclass correlation coefficient was 0.986 as a measure for an excellent interreader agreement. DATA CONCLUSION MRI-based quantification of vertebral bone marrow PDFF is highly accurate, repeatable, and reproducible among readers, field strengths, and MRI platforms, indicating its robustness as a quantitative imaging biomarker for multicentric studies. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1762-1772.
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Affiliation(s)
- Frederic Carsten Schmeel
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Toni Vomweg
- Radiology Institute Dr. von Essen (DVE), Coblenz, Rhineland-Palatinate (RLP), Germany
| | - Frank Träber
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Arnd Gerhards
- Radiology Institute Dr. von Essen (DVE), Coblenz, Rhineland-Palatinate (RLP), Germany
| | - Simon Jonas Enkirch
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Anton Faron
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Alois Martin Sprinkart
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Leonard Christopher Schmeel
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Julian Alexander Luetkens
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Daniel Thomas
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
| | - Guido Matthias Kukuk
- Department of Radiology and Radiation Oncology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Bonn, North Rhine-Westphalia (NRW), Germany
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Comparison of Lipid and Water Contents by Time-domain Diffuse Optical Spectroscopy and Dual-energy Computed Tomography in Breast Cancer Patients. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9071482] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We previously compared time-domain diffuse optical spectroscopy (TD-DOS) with magnetic resonance imaging (MRI) using various water/lipid phantoms. However, it is difficult to conduct similar comparisons in the breast, because of measurement differences due to modality-dependent differences in posture. Dual-energy computed tomography (DECT) examination is performed in the same supine position as a TD-DOS measurement. Therefore, we first verified the accuracy of the measured fat fraction of fibroglandular tissue in the normal breast on DECT by comparing it with MRI in breast cancer patients (n = 28). Then, we compared lipid and water signals obtained in TD-DOS and DECT from normal and tumor-tissue regions (n = 16). The TD-DOS breast measurements were carried out using reflectance geometry with a source–detector separation of 3 cm. A semicircular region of interest (ROI), with a transverse diameter of 3 cm and a depth of 2 cm that included the breast surface, was set on the DECT image. Although the measurement area differed between the modalities, the correlation coefficients of lipid and water signals between TD-DOS and DECT were rs = 0.58 (p < 0.01) and rs = 0.90 (p < 0.01), respectively. These results indicate that TD-DOS captures the characteristics of the lipid and water contents of the breast.
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Mouzaki M, Trout AT. Virtual Reality: New Insights Regarding the Prevalence of Nonalcoholic Fatty Liver Disease in Children and Adolescents with Obesity Using Magnetic Resonance Imaging. J Pediatr 2019; 207:8-10. [PMID: 30922506 DOI: 10.1016/j.jpeds.2018.12.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 12/06/2018] [Indexed: 12/22/2022]
Affiliation(s)
- Marialena Mouzaki
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio.
| | - Andrew T Trout
- Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
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Guo RM, Zhao RZ, Zhang J, Yang F, Wen HQ, Wang J, Zhang Y, Li QL. Quantification of fat deposition in the testis and epididymis using mDIXON Quant sequence: correlation with age and ejaculation. Abdom Radiol (NY) 2019; 44:1528-1534. [PMID: 30467722 DOI: 10.1007/s00261-018-1826-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE The objective of this study was to quantitatively assess fat deposition in the testis and epididymis by measuring the fat/water signal ratios with mDIXON Quant and to investigate its correlation with age and ejaculation. MATERIALS AND METHODS Routine pelvic magnetic resonance imaging and mDIXON Quant were performed on 120 subjects. The fat/water signal ratios of the testis and epididymis were measured based on the fat/water signal intensity on mDIXON Quant. RESULTS The fat/water signal ratio values of the testis and epididymis in the early adulthood group (0.952-3.550%, p < 0.05, and 5.182-12.725%, p < 0.05, respectively) were significantly higher than those in the late childhood group (0.611-2.198% and 1.310-4.520%) and in the youth group (0.659-2.360% and 1.568-4.469%), and they were lower than those in the middle adulthood group (1.538-4.249%, p < 0.05, and 5.830-19.002%, p < 0.05). The fat deposition decreased in the testis of the youth group, who ejaculated more than ten times per month (0.750-2.022%, p < 0.05), and the fat/water signal ratios of the epididymis decreased in one subject in the early adulthood group who had three ejaculations within 12 h. CONCLUSION The findings of this study suggest that mDIXON Quant may be useful as a noninvasive, quantitative, and objective method for evaluating the fat deposition of the testis and epididymis. This method can provide guidance for fat deposition in the testis and epididymis in different age groups with varying ejaculation experiences. Additionally, our findings may facilitate more accurate diagnosis and monitoring of the reproductive function of the testis and epididymis by quantitatively measuring their fat deposition with age.
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Affiliation(s)
- Ruo-Mi Guo
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China
| | - Ru-Zhen Zhao
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China
| | - Jie Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China
| | - Fei Yang
- Department of Urology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Hui-Quan Wen
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China.
| | - Yong Zhang
- Department of Nuclear Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China.
| | - Qing-Ling Li
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China.
- Department of VIP Medical Center, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, China.
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Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLD. Eur Radiol 2019; 29:4699-4708. [PMID: 30783789 DOI: 10.1007/s00330-019-06035-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 12/24/2018] [Accepted: 01/22/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To assess inter-platform reproducibility of ultrasonic attenuation coefficient (AC) and backscatter coefficient (BSC) estimates in adults with known/suspected nonalcoholic fatty liver disease (NAFLD). METHODS This HIPAA-compliant prospective study was approved by an institutional review board; informed consent was obtained. Participants with known/suspected NAFLD were recruited and underwent same-day liver examinations with clinical ultrasound scanner platforms from two manufacturers. Each participant was scanned by the same trained sonographer who performed multiple data acquisitions in the right liver lobe using a lateral intercostal approach. Each data acquisition recorded a B-mode image and the underlying radio frequency (RF) data. AC and BSC were calculated using the reference phantom method. Inter-platform reproducibility was evaluated for AC and log-transformed BSC (logBSC = 10log10BSC) by intraclass correlation coefficient (ICC), Pearson's correlation, Bland-Altman analysis with computation of limits of agreement (LOAs), and within-subject coefficient of variation (wCV; applicable to AC). RESULTS Sixty-four participants were enrolled. Mean AC values measured using the two platforms were 0.90 ± 0.13 and 0.94 ± 0.15 dB/cm/MHz while mean logBSC values were - 30.6 ± 5.0 and - 27.9 ± 5.6 dB, respectively. Inter-platform ICC was 0.77 for AC and 0.70 for log-transformed BSC in terms of absolute agreement. Pearson's correlation coefficient was 0.81 for AC and 0.80 for logBSC. Ninety-five percent LOAs were - 0.21 to 0.13 dB/cm/MHz for AC, and - 9.48 to 3.98 dB for logBSC. The wCV was 7% for AC. CONCLUSIONS Hepatic AC and BSC are reproducible across two different ultrasound platforms in adults with known or suspected NAFLD. KEY POINTS • Ultrasonic attenuation coefficient and backscatter coefficient are reproducible between two different ultrasound platforms in adults with NAFLD. • This inter-platform reproducibility may qualify quantitative ultrasound biomarkers for generalized clinical application in patients with suspected/known NAFLD.
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Inter-reader agreement of magnetic resonance imaging proton density fat fraction and its longitudinal change in a clinical trial of adults with nonalcoholic steatohepatitis. Abdom Radiol (NY) 2019; 44:482-492. [PMID: 30128694 DOI: 10.1007/s00261-018-1745-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE To determine the inter-reader agreement of magnetic resonance imaging proton density fat fraction (PDFF) and its longitudinal change in a clinical trial of adults with nonalcoholic steatohepatitis (NASH). STUDY TYPE We performed a secondary analysis of a placebo-controlled randomized clinical trial of a bile acid sequestrant in 45 adults with NASH. A six-echo spoiled gradient-recalled-echo magnitude-based fat quantification technique was performed at 3 T. Three independent readers measured MRI-PDFF by placing one primary and two additional regions of interest (ROIs) in each segment at both time points. Cross-sectional agreement between the three readers was evaluated using intra-class correlation coefficients (ICCs) and coefficients of variation (CV). Additionally, we used Bland-Altman analyses to examine pairwise agreement between the three readers at baseline, end of treatment (EOT), and for longitudinal change. RESULTS Using all ROIs by all readers, mean PDFF at baseline, at EOT, and mean change in PDFF was 16.1%, 16.0%, and 0.07%, respectively. The 27-ROI PDFF measurements had 0.998 ICC and 1.8% CV at baseline, 0.998 ICC and 1.8% CV at EOT, and 0.997 ICC for longitudinal change. The 9-ROI PDFF measurements had corresponding values of 0.997 and 2.6%, 0.996 and 2.4%, and 0.994. Using 27 ROIs, the magnitude of the bias between readers for whole-liver PDFF measurement ranged from 0.03% to 0.06% points at baseline, 0.01% to 0.07% points at EOT, and 0.01% to 0.02% points for longitudinal change. CONCLUSION Inter-reader agreement for measuring whole-liver PDFF and its longitudinal change is high. 9-ROI measurements have only slightly lower agreement than 27-ROI measurements.
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Zhang Y, Zhou Z, Wang C, Cheng X, Wang L, Duanmu Y, Zhang C, Veronese N, Guglielmi G. Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence. ACTA ACUST UNITED AC 2019; 24:302-307. [PMID: 30179158 DOI: 10.5152/dir.2018.17323] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE We aimed to assess the reliability of measuring the fat content of the lumbar vertebral marrow and the paraspinal muscles using magnetic resonance imaging (MRI) mDIXON-Quant sequence. METHODS Thirty-one healthy volunteers were included. All participants underwent liver mDIXON-Quant imaging on a 3.0 T Philips MRI scanner by observer A. Within two weeks, observer B repeated the scan. After the examination, each observer independently measured the fat content of the third lumbar vertebra (L3), and the psoas (PS), erector spinae (ES), and multifidus (MF) muscles on central L3 axial images. After two weeks, each observer repeated the same measurements. They were blinded to their previous results. Reliability was estimated by evaluating the repeatability and reproducibility. RESULTS The repeatability of the fat content measurements of L3, PS, ES, and MF was high. The intraclass correlation coefficients of the fat content of L3, PS, ES, and MF were 0.997, 0.984, 0.997, and 0.995 for observer A and 0.948, 0.974, 0.963, and 0.995 for observer B, respectively. The reproducibility of the measurement of the fat content of L3, PS, ES, and MF was high, and the interclass correlation coefficients were 0.984, 0.981, 0.977, and 0.998, respectively. CONCLUSION Using mDIXON-Quant imaging to measure the fat content of the lumbar vertebral marrow and paraspinal muscles shows high reliability and is suitable for use in clinical practice.
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Affiliation(s)
- Yong Zhang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Zhuang Zhou
- Department of Orthopedic Oncology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Chao Wang
- Beijing Institute of Traumatology and Orthopedics, Beijing, China
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Yangyang Duanmu
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Chenxin Zhang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Nicola Veronese
- Aging Branch National Research Council, Neuroscience Institute, Padova, Italy
| | - Giuseppe Guglielmi
- Department of Radiology University of Foggia, Foggia, Italy; Department of Radiology Scientific Institute "Casa Sollievo della Sofferenza" Hospital, San Giovanni Rotondo, Foggia, Italy
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Eskreis-Winkler S, Corrias G, Monti S, Zheng J, Capanu M, Krebs S, Fung M, Reeder S, Mannelli L. IDEAL-IQ in an oncologic population: meeting the challenge of concomitant liver fat and liver iron. Cancer Imaging 2018; 18:51. [PMID: 30541635 PMCID: PMC6292167 DOI: 10.1186/s40644-018-0167-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 09/14/2018] [Indexed: 12/14/2022] Open
Abstract
Background Cancer patients often have a history of chemotherapy, putting them at increased risk of liver toxicity and pancytopenia, leading to elevated liver fat and elevated liver iron respectively. T1-in-and-out-of-phase, the conventional MR technique for liver fat assessment, fails to detect elevated liver fat in the presence of concomitantly elevated liver iron. IDEAL-IQ is a more recently introduced MR fat quantification method that corrects for multiple confounding factors, including elevated liver iron. Methods This retrospective study was approved by the institutional review board with a waiver for informed consent. We reviewed the MRI studies of 50 cancer patients (30 males, 20 females, 50–78 years old) whose exams included (1) T1-in-and-out-of-phase, (2) IDEAL-IQ, and (3) T2* mapping. Two readers independently assessed fat and iron content from conventional and IDEAL-IQ MR methods. Intraclass correlation coefficient (ICC) was estimated to evaluate agreement between conventional MRI and IDEAL-IQ in measuring R2* level (a surrogate for iron level), and in measuring fat level. Agreement between the two readers was also assessed. Wilcoxon signed rank test was employed to compare iron level and fat fraction between conventional MRI and IDEAL-IQ. Results Twenty percent of patients had both elevated liver iron and moderate/severe hepatic steatosis. Across all patients, there was high agreement between readers for IDEAL-IQ fat fraction (ICC = 0.957) and IDEAL R2* (ICC = 0.971) measurements, but lower agreement for conventional fat fraction measurements (ICC = 0.626). The fat fractions calculated with IOP were statistically significantly different from those calculated with IDEAL-IQ (reader 1: p < 0.001, reader 2: p < 0.001). Conclusion Fat measurements using IDEAL-IQ and IOP diverged in patients with concomitantly elevated liver fat and liver iron. Given prior work validating IDEAL-IQ, these diverging measurements indicate that IOP is inadequate to screen for hepatic steatosis in our cancer population.
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Affiliation(s)
- Sarah Eskreis-Winkler
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Giuseppe Corrias
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.,Department of Radiology, University of Cagliari, Via Università, 40, 09124, Cagliari, CA, Italy
| | | | - Junting Zheng
- Department of Statistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Marinela Capanu
- Department of Statistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Simone Krebs
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA
| | - Maggie Fung
- Global MR Applications and Workflow, GE Healthcare, New York, NY, USA
| | - Scott Reeder
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Lorenzo Mannelli
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. .,, 300 East 66th Street, New York, NY, 10021, USA.
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Kim HJ, Cho HJ, Kim B, You MW, Lee JH, Huh J, Kim JK. Accuracy and precision of proton density fat fraction measurement across field strengths and scan intervals: A phantom and human study. J Magn Reson Imaging 2018; 50:305-314. [PMID: 30430684 DOI: 10.1002/jmri.26575] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 10/27/2018] [Accepted: 10/29/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Complex-based chemical shift imaging-based magnetic resonance imaging (CSE-MRI) is emerging as a preferred method for noninvasively quantifying proton density fat fraction (PDFF), a promising quantitative imaging biomarker (QIB) for longitudinal hepatic steatosis measurement. PURPOSE To determine linearity, bias, repeatability, and reproducibility of the PDFF measurement using CSE-MRI (CSE-PDFF) across scan intervals, MR field strengths, and readers in phantom and nonalcoholic fatty liver disease (NAFLD) patients. STUDY TYPE Institutional Review Board (IRB)-approved prospective. SUBJECTS Fat-water phantom and 20 adult patients. FIELD STRENGTH/SEQUENCE 1.5 T and 3.0 T MR systems and a commercially available CSE-MRI sequence (IDEAL-IQ). ASSESSMENT Two independent readers measured CSE-PDFF of fat-water phantom and NAFLD patients across two field strengths and scan intervals (same-day and 2-week) each and in a combination of both. MR spectroscopy-based PDFF (MRS-PDFF) was used as the reference standard for phantom PDFF. STATISTICAL TESTS Linearity and bias of measurement were evaluated by linear regression analysis and Bland-Altman plots, respectively. Repeatability and reproducibility were assessed by coefficient of variance and repeatability / reproducibility coefficients (RC). The intraclass correlation coefficient was used to validate intra- and interobserver agreements. RESULTS CSE-PDFF showed high linearity and small bias (-0.6-0.4 PDFF%) with 95% limits of agreement within ±2.9 PDFF% across field strengths, 2-week interscan period, and readers in the clinical scans. CSE-PDFF was highly repeatable and reproducible both in phantom and clinical scans, with the largest observed RC across field strengths and 2-week interscan period being 3 PDFF%. DATA CONCLUSION CSE-PDFF is a robust QIB with high linearity, small bias, and excellent repeatability/reproducibility. A change of more than 3 PDFF% across field strengths within 2 weeks of scan interval likely reflects a true change, which is well within the clinically acceptable range. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:305-314.
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Affiliation(s)
- Hye Jin Kim
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, Suwon, South Korea
| | - Hyo Jung Cho
- Department of Gastroenterology, Ajou University School of Medicine, Ajou University Hospital, Suwon, South Korea
| | - Bohyun Kim
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, Suwon, South Korea
| | - Myung-Won You
- Department of Radiology, Kyung Hee University Hospital, Seoul, South Korea
| | - Jei Hee Lee
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, Suwon, South Korea
| | - Jimi Huh
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, Suwon, South Korea
| | - Jai Keun Kim
- Department of Radiology, Ajou University School of Medicine, Ajou University Hospital, Suwon, South Korea
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Ohmae E, Yoshizawa N, Yoshimoto K, Hayashi M, Wada H, Mimura T, Suzuki H, Homma S, Suzuki N, Ogura H, Nasu H, Sakahara H, Yamashita Y, Ueda Y. Stable tissue-simulating phantoms with various water and lipid contents for diffuse optical spectroscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:5792-5808. [PMID: 30460162 PMCID: PMC6238899 DOI: 10.1364/boe.9.005792] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 10/12/2018] [Accepted: 10/12/2018] [Indexed: 05/17/2023]
Abstract
We introduced a method for producing solid phantoms with various water-to-lipid ratios that can simulate the absorption, and to some extent the scattering characteristics of human breast tissue. We also achieved phantom stability for a minimum of one month by solidifying the emulsion phantoms. The characteristics of the phantoms were evaluated using the six-wavelength time-domain diffuse optical spectroscopy (TD-DOS) system we developed to measure water and lipid contents and hemoglobin concentration. The TD-DOS measurements were validated with a magnetic resonance imaging system.
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Affiliation(s)
- Etsuko Ohmae
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Nobuko Yoshizawa
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Kenji Yoshimoto
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Maho Hayashi
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Hiroko Wada
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Tetsuya Mimura
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Hiroaki Suzuki
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Shu Homma
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Norihiro Suzuki
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Hiroyuki Ogura
- Department of Breast Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Hatsuko Nasu
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Harumi Sakahara
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu City, Shizuoka Pref., 431-3192, Japan
| | - Yutaka Yamashita
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
| | - Yukio Ueda
- Central Research Laboratory, Hamamatsu Photonics K. K., 5000, Hirakuchi, Hamakita-ku, Hamamatsu City, Shizuoka Pref., 434-8601, Japan
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Mouzaki M, Trout AT, Arce-Clachar AC, Bramlage K, Kuhnell P, Dillman JR, Xanthakos S. Assessment of Nonalcoholic Fatty Liver Disease Progression in Children Using Magnetic Resonance Imaging. J Pediatr 2018; 201:86-92. [PMID: 30041934 PMCID: PMC6429948 DOI: 10.1016/j.jpeds.2018.05.024] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 04/16/2018] [Accepted: 05/15/2018] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To assess liver disease progression using paired magnetic resonance imaging (MRI) measurements of liver fat fraction (FF) and stiffness. STUDY DESIGN Retrospective cohort study including patients with nonalcoholic fatty liver disease who had undergone repeat MRI studies. Descriptive statistics were used, as well as Pearson or Spearman correlation when appropriate. Mixed model analyses were used to determine relationships between liver FF/stiffness and predictor variables. RESULTS Sixty-five patients (80% non-Hispanic, mean age 14 ± 3 years) were included. Time from first to last MRI was 27 ± 14 months. Over time, body mass index z score remained stable, and there were no significant differences in mean serum aminotransferases, insulin, glucose, triglycerides, low-density lipoprotein, and high-density lipoprotein (HDL) levels. However, the proportion of patients with alanine aminotransferase (ALT) < 50 U/L increased. MRI FF and stiffness decreased in 29% and 20% of patients, respectively, and increased in 25% and 22% of patients, respectively. There was a weak positive correlation between FF change and ALT change (r = 0.41, P = .053) and a moderate negative correlation between change in FF and change in serum HDL levels (r = -0.58, P = .004). After adjusting for HDL, increase in serum insulin was the only variable predictive of increase in FF (P = .061). There was no correlation between change in liver stiffness and change in ALT (r = .02, P = .910). CONCLUSIONS MRI-determined hepatic FF and stiffness improved in a minority of patients overtime. ALT levels were not reflective of the change in FF or stiffness. MRI-based imaging is complementary in the assessment of NAFLD progression.
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Affiliation(s)
- Marialena Mouzaki
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
| | - Andrew T Trout
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Ana Catalina Arce-Clachar
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Kristin Bramlage
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Pierce Kuhnell
- Department of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Jonathan R Dillman
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Stavra Xanthakos
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
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Hutton C, Gyngell ML, Milanesi M, Bagur A, Brady M. Validation of a standardized MRI method for liver fat and T2* quantification. PLoS One 2018; 13:e0204175. [PMID: 30235288 PMCID: PMC6147490 DOI: 10.1371/journal.pone.0204175] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 09/03/2018] [Indexed: 01/01/2023] Open
Abstract
Purpose Several studies have demonstrated the accuracy, precision, and reproducibility of proton density fat fraction (PDFF) quantification using vendor-specific image acquisition protocols and PDFF estimation methods. The purpose of this work is to validate a confounder-corrected, cross-vendor, cross field-strength, in-house variant LMS IDEAL of the IDEAL method licensed from the University of Wisconsin, which has been developed for routine clinical use. Methods LMS IDEAL is implemented using a combination of patented and/or published acquisition and some novel model fitting methods required to correct confounds which result from the imaging and estimation processes, including: water-fat ambiguity; T2* relaxation; multi-peak fat modelling; main field inhomogeneity; T1 and noise bias; bipolar readout gradients; and eddy currents. LMS IDEAL has been designed to use image acquisition protocols that can be installed on most MRI scanners and cloud-based image processing to provide fast, standardized clinical results. Publicly available phantom data were used to validate LMS IDEAL PDFF calculations against results from originally published IDEAL methodology. LMS PDFF and T2* measurements were also compared with an independent technique in human volunteer data (n = 179) acquired as part of the UK Biobank study. Results We demonstrate excellent agreement of LMS IDEAL across vendors, field strengths, and over a wide range of PDFF and T2* values in the phantom study. The performance of LMS IDEAL was then assessed in vivo against widely accepted PDFF and T2* estimation methods (LMS Dixon and LMS T2*, respectively), demonstrating the robustness of LMS IDEAL to potential sources of error. Conclusion The development and clinical validation of the LMS IDEAL algorithm as a chemical shift-encoded MRI method for PDFF and T2* estimation contributes towards robust, unbiased applications for quantification of hepatic steatosis and iron overload, which are key features of chronic liver disease.
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Affiliation(s)
- Chloe Hutton
- Perspectum Diagnostics, Oxford, United Kingdom
- * E-mail:
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Serai SD, Trout AT, Fleck RJ, Quinn CT, Dillman JR. Measuring liver T2* and cardiac T2* in a single acquisition. Abdom Radiol (NY) 2018; 43:2303-2308. [PMID: 29470624 DOI: 10.1007/s00261-018-1477-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE The purpose of this study is determine if both liver T2* and cardiac T2* can be measured on a single breath-hold acquisition. MATERIALS AND METHODS For this IRB-approved retrospective study, 137 patients with dedicated Cardiac MRI and Liver MRI examinations obtained sequentially on 1.5T scanners and on the same day were included for analysis. Both the cardiac and liver MRI examinations utilized GRE sequences for quantification of tissue iron. Specifically, T2* was measured using an 8-echo, multi-echo gradient echo single breath-hold sequence. Liver T2* was measured in a blinded manner on images from each of the cardiac and dedicated liver MRI examinations and were correlated. Bland-Altman difference plot was used to assess mean bias. RESULTS 137 examinations from 93 subjects met inclusion criteria. 10 examination pairs were excluded because the first echo time (TE) on the cardiac MRI was insufficiently short for the very high liver iron content. After exclusion, 127 studies from 89 subjects (67.4% males) were included in the final analysis. The mean subject age (± standard deviation) was 11.5 ± 7.5 years (range 0-29.3 years; median 10.5 years). Mean liver T2* measured on cardiac MRI was 8.3 ± 7.7 ms and mean liver T2* measured on dedicated liver MRI was 7.8 ± 7.4 ms (p < 0.001). There was strong positive correlation between the two liver T2* measurements (r = 0.989, p < 0.0001; 95% CI 0.985-0.992). With the exception of borderline outliers, all values fell within two standard deviations on the Bland-Altman difference plots, with a mean bias of 0.5 ms (range - 1.8 to + 2.7 ms). CONCLUSION In most patients with suspected or known iron overload, a single breath-hold GRE sequence may be sufficient to evaluate the iron concentration (T2*) of both the myocardium and the liver.
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Affiliation(s)
- Suraj D Serai
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA.
- Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
| | - Andrew T Trout
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Robert J Fleck
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Charles T Quinn
- Department of Hematology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
| | - Jonathan R Dillman
- Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
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Serai SD, Rigsby CK, Kan HJ, Panigrahy A, Hernanz-Schulman M, Anupindi SA. Inclusion of Pediatric-Specific Indications and Procedures in the New ACR MRI Accreditation Program. J Am Coll Radiol 2018; 15:1022-1026. [DOI: 10.1016/j.jacr.2018.03.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 02/27/2018] [Accepted: 03/04/2018] [Indexed: 01/24/2023]
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