Marco Dioguardi Burgio1,2, Maxime Ronot3,4,5, Edouard Reizine3, Pierre-Emmanuel Rautou6, Laurent Castera6, Valérie Paradis7, Philippe Garteiser4, Bernard Van Beers3,4,5, Valérie Vilgrain3,4,5. 1. Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France. marco_dioguardi@hotmail.it. 2. INSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France. marco_dioguardi@hotmail.it. 3. Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France. 4. INSERM U1149, centre de recherche biomédicale Bichat-Beaujon, CRB3, Paris, France. 5. University Paris Diderot, Sorbonne Paris Cité, Paris, France. 6. Department of Hepatology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France. 7. Department of Pathology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Abstract
OBJECTIVES: To prospectively assess the role of the US attenuation imaging coefficient (AC) for the diagnosis and quantification of hepatic steatosis. METHODS: One hundred and one patients underwent liver biopsy and US-AC measurement on the same day. Liver steatosis was graded according to biopsy as absent (S0 < 5%), mild (S1 5-33%), moderate (S2 33-66%), or severe (S3 > 66%); liver fibrosis was graded from F0 to F4. The correlation between AC and steatosis on pathology (%) was calculated using the Pearson correlation coefficient. The Student t or Mann-Whitney U test was used to compare continuous variables and ROC curve analysis was used to assess diagnostic performance of AC in diagnosing steatosis. RESULTS: Overall, 43 (42%), 35 (35%), 12 (12%), and 11 (11%) patients were classified as S0, S1, S2, and S3, respectively. The AC was positively correlated with steatosis as a continuous variable (%) on pathology (r = 0.58, p < 0.01). Patients with steatosis of any grade had a higher AC than those without steatosis (mean 0.77 ± 0.13 vs. 0.63 ± 0.09 dB/cm/MHz, respectively; p < 0.01, AUROC = 0.805). Patients with S2-S3 had a higher AC than patients with S0-1 (0.85 ± 0.11 vs. 0.67 ± 0.11 dB/cm/MHz, respectively; p < 0.01, AUROC = 0.892). AC > 0.69 dB/cm/MHz had a sensitivity and specificity of 76% and 86%, respectively, for diagnosing any grade of steatosis (S1-S3), and AC > 0.72 dB/cm/MHz had a sensitivity and specificity of 96% and 74%, respectively, for diagnosing S2-S3. The presence of advanced fibrosis (F3-F4) did not affect the calculated AC. CONCLUSIONS: The attenuation imaging coefficient is a promising quantitative technique for the non-invasive diagnosis and quantification of hepatic steatosis. KEY POINTS: • Measurement of the attenuation coefficient is achieved with a very high rate of technical success. • We found a significant positive correlation between the attenuation coefficient and the grade of steatosis on pathology. • The attenuation imaging coefficient is a promising quantitative technique for the noninvasive diagnosis and quantification of hepatic steatosis.
OBJECTIVES: To prospectively assess the role of the US attenuation imaging coefficient (AC) for the diagnosis and quantification of hepatic steatosis. METHODS: One hundred and one patients underwent liver biopsy and US-AC measurement on the same day. Liver steatosis was graded according to biopsy as absent (S0 < 5%), mild (S1 5-33%), moderate (S2 33-66%), or severe (S3 > 66%); liver fibrosis was graded from F0 to F4. The correlation between AC and steatosis on pathology (%) was calculated using the Pearson correlation coefficient. The Student t or Mann-Whitney U test was used to compare continuous variables and ROC curve analysis was used to assess diagnostic performance of AC in diagnosing steatosis. RESULTS: Overall, 43 (42%), 35 (35%), 12 (12%), and 11 (11%) patients were classified as S0, S1, S2, and S3, respectively. The AC was positively correlated with steatosis as a continuous variable (%) on pathology (r = 0.58, p < 0.01). Patients with steatosis of any grade had a higher AC than those without steatosis (mean 0.77 ± 0.13 vs. 0.63 ± 0.09 dB/cm/MHz, respectively; p < 0.01, AUROC = 0.805). Patients with S2-S3 had a higher AC than patients with S0-1 (0.85 ± 0.11 vs. 0.67 ± 0.11 dB/cm/MHz, respectively; p < 0.01, AUROC = 0.892). AC > 0.69 dB/cm/MHz had a sensitivity and specificity of 76% and 86%, respectively, for diagnosing any grade of steatosis (S1-S3), and AC > 0.72 dB/cm/MHz had a sensitivity and specificity of 96% and 74%, respectively, for diagnosing S2-S3. The presence of advanced fibrosis (F3-F4) did not affect the calculated AC. CONCLUSIONS: The attenuation imaging coefficient is a promising quantitative technique for the non-invasive diagnosis and quantification of hepatic steatosis. KEY POINTS: • Measurement of the attenuation coefficient is achieved with a very high rate of technical success. • We found a significant positive correlation between the attenuation coefficient and the grade of steatosis on pathology. • The attenuation imaging coefficient is a promising quantitative technique for the noninvasive diagnosis and quantification of hepatic steatosis.
Authors: Mark Fishbein; Fernando Castro; Sailaja Cheruku; Shaily Jain; Brian Webb; Theodore Gleason; W Ross Stevens Journal: J Clin Gastroenterol Date: 2005-08 Impact factor: 3.062
Authors: Lucas McCormack; Henrik Petrowsky; Wolfram Jochum; Katarzyna Furrer; Pierre-Alain Clavien Journal: Ann Surg Date: 2007-06 Impact factor: 12.969
Authors: Gaspard d'Assignies; Cindy Fayard; Helena Leitao; Toni Alfaiate; Florence Tubach; Safi Dokmak; Valérie Paradis; Bernard E Van Beers; Maxime Ronot; Valérie Vilgrain Journal: Surgery Date: 2015-11-12 Impact factor: 3.982
Authors: Daniel Jesper; Daniel Klett; Barbara Schellhaas; Lukas Pfeifer; Moritz Leppkes; Maximilian Waldner; Markus F Neurath; Deike Strobel Journal: IEEE J Transl Eng Health Med Date: 2020-06-10 Impact factor: 3.316
Authors: Jérémy Dana; Aïna Venkatasamy; Antonio Saviano; Joachim Lupberger; Yujin Hoshida; Valérie Vilgrain; Pierre Nahon; Caroline Reinhold; Benoit Gallix; Thomas F Baumert Journal: Hepatol Int Date: 2022-02-09 Impact factor: 9.029
Authors: Marten Schulz; Moritz Kleinjans; Pavel Strnad; Münevver Demir; Theresa M Holtmann; Frank Tacke; Alexander Wree Journal: Diagnostics (Basel) Date: 2021-03-31