The optimal threshold of controlled attenuation parameter (CAP) for the detection of hepatic steatosis using both M and XL probe is unknown in nonalcoholic fatty liver disease (NAFLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) is an accurate and precise method of detecting the presence of hepatic steatosis that is superior to CAP. Thus, the aim of this study was to evaluate the diagnostic accuracy and optimal threshold of CAP for the detection of hepatic steatosis as defined by MRI-PDFF ≥ 5%. This prospective cross-sectional study included 119 adults (59% women) with and without NAFLD who underwent MRI-PDFF and CAP using either M or XL probe when indicated within a 6-month period at the NAFLD Research Center, University of California, San Diego. The mean ( ± standard deviation) age and body mass index were 52.4 (±15.2) years and 29.9 (±5.5) kg/m2 , respectively. The prevalence of NAFLD (MRI-PDFF ≥ 5%) and MRI-PDFF ≥ 10% was 70.6% and 47.1%, respectively. The area under the receiver operating characteristic (AUROC) of CAP for the detection of MRI-PDFF ≥ 5% was 0.80 (95% confidence interval [CI], 0.70-0.90) at the cut-point of 288 dB/m and of MRI-PDFF ≥ 10% was 0.87 (95% CI, 0.80-0.94) at the cut-point of 306 dB/m. When stratified by the interquartile range (IQR) of CAP, we observed that an IQR below the median (30 dB/m) had a robust AUROC compared with an IQR above the median (0.92 [95% CI, 0.85-1.00] versus 0.70 [95% CI, 0.56-0.85]; P = 0.0117), and these differences were statistically and clinically significant. CONCLUSION: The cut-point of CAP for presence of hepatic steatosis (MRI-PDFF ≥ 5%) was 288 dB/m. The diagnostic accuracy of CAP for the detection of hepatic steatosis is more reliable when the IQR of CAP is <30 dB/m. These data have implications for the clinical use of CAP in the assessment of NAFLD. (Hepatology 2018;67:1348-1359).
The optimal threshold of controlled attenuation parameter (CAP) for the detection of hepatic steatosis using both M and XL probe is unknown in nonalcoholic fatty liver disease (NAFLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) is an accurate and precise method of detecting the presence of hepatic steatosis that is superior to CAP. Thus, the aim of this study was to evaluate the diagnostic accuracy and optimal threshold of CAP for the detection of hepatic steatosis as defined by MRI-PDFF ≥ 5%. This prospective cross-sectional study included 119 adults (59% women) with and without NAFLD who underwent MRI-PDFF and CAP using either M or XL probe when indicated within a 6-month period at the NAFLD Research Center, University of California, San Diego. The mean ( ± standard deviation) age and body mass index were 52.4 (±15.2) years and 29.9 (±5.5) kg/m2 , respectively. The prevalence of NAFLD (MRI-PDFF ≥ 5%) and MRI-PDFF ≥ 10% was 70.6% and 47.1%, respectively. The area under the receiver operating characteristic (AUROC) of CAP for the detection of MRI-PDFF ≥ 5% was 0.80 (95% confidence interval [CI], 0.70-0.90) at the cut-point of 288 dB/m and of MRI-PDFF ≥ 10% was 0.87 (95% CI, 0.80-0.94) at the cut-point of 306 dB/m. When stratified by the interquartile range (IQR) of CAP, we observed that an IQR below the median (30 dB/m) had a robust AUROC compared with an IQR above the median (0.92 [95% CI, 0.85-1.00] versus 0.70 [95% CI, 0.56-0.85]; P = 0.0117), and these differences were statistically and clinically significant. CONCLUSION: The cut-point of CAP for presence of hepatic steatosis (MRI-PDFF ≥ 5%) was 288 dB/m. The diagnostic accuracy of CAP for the detection of hepatic steatosis is more reliable when the IQR of CAP is <30 dB/m. These data have implications for the clinical use of CAP in the assessment of NAFLD. (Hepatology 2018;67:1348-1359).
Authors: Rohit Loomba; Nicholas Schork; Chi-Hua Chen; Ricki Bettencourt; Ana Bhatt; Brandon Ang; Phirum Nguyen; Carolyn Hernandez; Lisa Richards; Joanie Salotti; Steven Lin; Ekihiro Seki; Karen E Nelson; Claude B Sirlin; David Brenner Journal: Gastroenterology Date: 2015-08-20 Impact factor: 22.682
Authors: Raphael B Merriman; Linda D Ferrell; Marco G Patti; Shiobhan R Weston; Mark S Pabst; Bradley E Aouizerat; Nathan M Bass Journal: Hepatology Date: 2006-10 Impact factor: 17.425
Authors: Robert J Wong; Maria Aguilar; Ramsey Cheung; Ryan B Perumpail; Stephen A Harrison; Zobair M Younossi; Aijaz Ahmed Journal: Gastroenterology Date: 2014-11-25 Impact factor: 22.682
Authors: An Tang; Justin Tan; Mark Sun; Gavin Hamilton; Mark Bydder; Tanya Wolfson; Anthony C Gamst; Michael Middleton; Elizabeth M Brunt; Rohit Loomba; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin Journal: Radiology Date: 2013-02-04 Impact factor: 11.105
Authors: Jeffrey Cui; Chi-Hua Chen; Min-Tzu Lo; Nicholas Schork; Ricki Bettencourt; Monica P Gonzalez; Archana Bhatt; Jonathan Hooker; Katherine Shaffer; Karen E Nelson; Michelle T Long; David A Brenner; Claude B Sirlin; Rohit Loomba Journal: Hepatology Date: 2016-07-25 Impact factor: 17.425
Authors: Amine Benmassaoud; Roy Nitulescu; Thomas Pembroke; Alex S Halme; Peter Ghali; Marc Deschenes; Philip Wong; Marina B Klein; Giada Sebastiani Journal: Clin Infect Dis Date: 2019-09-27 Impact factor: 9.079
Authors: Mohammed Eslam; Shiv K Sarin; Vincent Wai-Sun Wong; Jian-Gao Fan; Takumi Kawaguchi; Sang Hoon Ahn; Ming-Hua Zheng; Gamal Shiha; Yusuf Yilmaz; Rino Gani; Shahinul Alam; Yock Young Dan; Jia-Horng Kao; Saeed Hamid; Ian Homer Cua; Wah-Kheong Chan; Diana Payawal; Soek-Siam Tan; Tawesak Tanwandee; Leon A Adams; Manoj Kumar; Masao Omata; Jacob George Journal: Hepatol Int Date: 2020-10-01 Impact factor: 6.047