Victor de Lédinghen1,2, Jean-Baptiste Hiriart3, Julien Vergniol3, Wassil Merrouche3, Pierre Bedossa4, Valérie Paradis4. 1. Centre d'Investigation de la Fibrose hépatique, Service d'Hépato-Gastroentérologie, Hôpital Haut-Lévêque, Centre Hospitalo-Universitaire de Bordeaux, 33604, Pessac, France. victor.deledinghen@chu-bordeaux.fr. 2. INSERM U1053, Université Bordeaux, Bordeaux, France. victor.deledinghen@chu-bordeaux.fr. 3. Centre d'Investigation de la Fibrose hépatique, Service d'Hépato-Gastroentérologie, Hôpital Haut-Lévêque, Centre Hospitalo-Universitaire de Bordeaux, 33604, Pessac, France. 4. Department of Pathology, Physiology and Imaging, Hôpital Beaujon, Clichy, France.
Abstract
INTRODUCTION: Controlled attenuation parameter (CAP) is a new method for the diagnosis of steatosis. Until now, CAP was available only with the M probe of the Fibroscan. The aim of this study was to evaluate the diagnostic performance of CAP with the XL probe versus CAP with the M probe, using liver biopsy (LB) as gold standard. PATIENTS AND METHODS: A total of 236 patients with chronic liver disease undergoing LB had CAP measurement with M and XL probes the same day. All LB were analyzed independently by two experienced pathologists. RESULTS: Median CAP was 240.5 and 239.5 dB/m with the M and XL probes, respectively. For the detection of steatosis grade with the M and XL probes, AUROCs were 0.82/0.83 for S ≥ 1, 0.89/0.88 for S ≥ 2, and 0.92/0.93 for S3, respectively. Cutoffs were (M and XL probes) 246/242 for S ≥ 1, 269/267 for S ≥ 2, and 285/286 dB/m for S3, respectively. The factor significantly associated with CAP with the M and XL probes was steatosis grade. In multivariate analysis, a low CAP value with XL probe was negatively associated with waist circumference, triglycerides, albumin, and the alcohol consumption, and positively with alkaline phosphatases. In multivariate analysis, a high CAP value with the XL probe was positively associated with waist circumference and triglycerides. CONCLUSION: CAP with the XL probe is a new tool for the diagnosis of steatosis. This parameter could be useful for the diagnosis and the follow-up of obese patients.
INTRODUCTION: Controlled attenuation parameter (CAP) is a new method for the diagnosis of steatosis. Until now, CAP was available only with the M probe of the Fibroscan. The aim of this study was to evaluate the diagnostic performance of CAP with the XL probe versus CAP with the M probe, using liver biopsy (LB) as gold standard. PATIENTS AND METHODS: A total of 236 patients with chronic liver disease undergoing LB had CAP measurement with M and XL probes the same day. All LB were analyzed independently by two experienced pathologists. RESULTS: Median CAP was 240.5 and 239.5 dB/m with the M and XL probes, respectively. For the detection of steatosis grade with the M and XL probes, AUROCs were 0.82/0.83 for S ≥ 1, 0.89/0.88 for S ≥ 2, and 0.92/0.93 for S3, respectively. Cutoffs were (M and XL probes) 246/242 for S ≥ 1, 269/267 for S ≥ 2, and 285/286 dB/m for S3, respectively. The factor significantly associated with CAP with the M and XL probes was steatosis grade. In multivariate analysis, a low CAP value with XL probe was negatively associated with waist circumference, triglycerides, albumin, and the alcohol consumption, and positively with alkaline phosphatases. In multivariate analysis, a high CAP value with the XL probe was positively associated with waist circumference and triglycerides. CONCLUSION: CAP with the XL probe is a new tool for the diagnosis of steatosis. This parameter could be useful for the diagnosis and the follow-up of obesepatients.
Authors: Thomas Karlas; David Petroff; Magali Sasso; Jian-Gao Fan; Yu-Qiang Mi; Victor de Lédinghen; Manoj Kumar; Monica Lupsor-Platon; Kwang-Hyub Han; Ana C Cardoso; Giovanna Ferraioli; Wah-Kheong Chan; Vincent Wai-Sun Wong; Robert P Myers; Kazuaki Chayama; Mireen Friedrich-Rust; Michel Beaugrand; Feng Shen; Jean-Baptiste Hiriart; Shiv K Sarin; Radu Badea; Kyu Sik Jung; Patrick Marcellin; Carlo Filice; Sanjiv Mahadeva; Grace Lai-Hung Wong; Pam Crotty; Keiichi Masaki; Joerg Bojunga; Pierre Bedossa; Volker Keim; Johannes Wiegand Journal: J Hepatol Date: 2016-12-28 Impact factor: 25.083
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: Ken Liu; Vincent Wai-Sun Wong; Keith Lau; Sienna Du Liu; Yee-Kit Tse; Terry Cheuk-Fung Yip; Raymond Kwok; Alex Yiu-Wa Chan; Henry Lik-Yuen Chan; Grace Lai-Hung Wong Journal: Am J Gastroenterol Date: 2017-10-31 Impact factor: 10.864
Authors: Max M Puthenpura; Vishal Patel; John Fam; Leon Katz; David S Tichansky; Stephan Myers Journal: Obes Surg Date: 2020-09-26 Impact factor: 4.129
Authors: Veeral H Ajmera; Edward R Cachay; Christian B Ramers; Shirin Bassirian; Seema Singh; Richele Bettencourt; Lisa Richards; Gavin Hamilton; Michael Middleton; Katie Fowler; Claude Sirlin; Rohit Loomba Journal: Clin Infect Dis Date: 2021-06-15 Impact factor: 9.079