Literature DB >> 24362073

Accurate computed tomography-based portal pressure assessment in patients with hepatocellular carcinoma.

Pouya Iranmanesh1, Oscar Vazquez2, Sylvain Terraz3, Pietro Majno2, Laurent Spahr4, Antoine Poncet5, Philippe Morel2, Gilles Mentha2, Christian Toso6.   

Abstract

BACKGROUND & AIMS: Liver resection is generally restricted to patients without clinically significant portal hypertension (Hepatic Venous Pressure Gradient - HVPG - ⩽10mmHg) and several teams perform transjugular HVPG measurements as part of the pre-operative work-up. The present study investigates whether a non-invasive Computed Tomography (CT)-based assessment could be as accurate as the invasive transjugular measurement.
METHODS: A cohort of patients with hepatocellular carcinoma (HCC) treated by resection (n=36) or transplantation (n=39) was selected (mean age: 61±9.2years, male/female ratio: 4/1). Pre-operative CTs were read by two independent investigators, and potential CT-based HVPG predictors were compared to the transjugular HVPG measurements. A validation was conducted on another cohort of 70 non-surgical patients.
RESULTS: The invasive HVPG values were significantly correlated to liver/spleen volume ratio, spleen volume, platelet count, and peri-hepatic ascites (p<0.001), which all showed high inter-observer agreements (intra-class correlation coefficients ⩾0.927, Kappa ⩾0.945). The presence of a HVPG >10mmHg was best predicted by the liver/spleen volume ratio (AUC: 0.883 [0.805-0.960]) and the peri-hepatic ascites (p<0.001). These two variables were combined into an accurate model for predicting HVPG >10mmHg (AUC: 0.911 [0.847-0.975]), with sensitivity, specificity, and positive and negative predictive values of 92%, 79%, 91%, and 81%. The model was also accurate in the validation cohort with an AUC of 0.820 [0.719-0.921]. The computed formula was:
CONCLUSIONS: The proposed CT-based model showed a high accuracy in the prediction of HVPG and, if further confirmed by prospective validation, could replace the invasive transjugular assessment in patients not requiring a biopsy of the non-tumoral liver.
Copyright © 2013 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computed tomography; Hepatic venous pressure gradient; Hepatocellular carcinoma; Liver resection; Liver transplantation; Portal hypertension

Mesh:

Year:  2013        PMID: 24362073     DOI: 10.1016/j.jhep.2013.12.015

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  20 in total

1.  Association between spleen volume and the post-hepatectomy liver failure and overall survival of patients with hepatocellular carcinoma after resection.

Authors:  Jae Seok Bae; Dong Ho Lee; Jeongin Yoo; Nam-Joon Yi; Kwang-Woong Lee; Kyung-Suk Suh; Haeryoung Kim; Kyung Bun Lee
Journal:  Eur Radiol       Date:  2020-10-07       Impact factor: 5.315

Review 2.  Noninvasive imaging assessment of portal hypertension.

Authors:  Paul Kennedy; Octavia Bane; Stefanie J Hectors; Aaron Fischman; Thomas Schiano; Sara Lewis; Bachir Taouli
Journal:  Abdom Radiol (NY)       Date:  2020-09-14

3.  Impact of Splenic Volume and Splenectomy on Prognosis of Hepatocellular Carcinoma Within Milan Criteria After Curative Hepatectomy.

Authors:  Kazuki Takeishi; Hirofumi Kawanaka; Shinji Itoh; Norifumi Harimoto; Toru Ikegami; Tomoharu Yoshizumi; Ken Shirabe; Yoshihiko Maehara
Journal:  World J Surg       Date:  2018-04       Impact factor: 3.352

4.  Liver-to-spleen ratio as an index of chronic liver diseases and safety of hepatectomy: a pilot study.

Authors:  Yangqing Huang; Bin Huang; Tong Kan; Boshuai Yang; Min Yuan; Jiefei Wang
Journal:  World J Surg       Date:  2014-12       Impact factor: 3.352

Review 5.  Artificial intelligence in the diagnosis of cirrhosis and portal hypertension.

Authors:  Xiaoguo Li; Ning Kang; Xiaolong Qi; Yifei Huang
Journal:  J Med Ultrason (2001)       Date:  2021-11-17       Impact factor: 1.878

6.  Clinically severe portal hypertension: role of multi-detector row CT features in diagnosis.

Authors:  Ji Young Lee; Tae Yeob Kim; Woo Kyoung Jeong; Yongsoo Kim; Jinoo Kim; Kyoung Won Kim; Young Hwan Kim; Joo Hyun Sohn
Journal:  Dig Dis Sci       Date:  2014-04-11       Impact factor: 3.199

7.  Non-invasive assessment of portal hypertension using quantitative magnetic resonance imaging.

Authors:  Naaventhan Palaniyappan; Eleanor Cox; Christopher Bradley; Robert Scott; Andrew Austin; Richard O'Neill; Greg Ramjas; Simon Travis; Hilary White; Rajeev Singh; Peter Thurley; Indra Neil Guha; Susan Francis; Guruprasad Padur Aithal
Journal:  J Hepatol       Date:  2016-07-27       Impact factor: 25.083

8.  Hepatic and Splenic Volumetry Could Be Used as an Imaging Parameter to Evaluate Fibrosis Grades of the Diffuse Liver Disease Including Nonalcoholic Fatty Liver Disease.

Authors:  Woo Kyoung Jeong
Journal:  Gut Liver       Date:  2017-09-15       Impact factor: 4.519

9.  Noninvasive Monitoring of Liver Disease Regression after Hepatitis C Eradication Using Gadoxetic Acid-Enhanced MRI.

Authors:  Lukas Haider; Mattias Mandorfer; Zeynep Güngören; Thomas Reiberger; Nina Bastati; Jacqueline C Hodge; David Chromy; Michael Trauner; Christian Herold; Markus Peck-Radosavljevic; Ahmed Ba-Ssalamah
Journal:  Contrast Media Mol Imaging       Date:  2018-07-12       Impact factor: 3.161

Review 10.  Radiomics and Deep Learning: Hepatic Applications.

Authors:  Hyo Jung Park; Bumwoo Park; Seung Soo Lee
Journal:  Korean J Radiol       Date:  2020-04       Impact factor: 3.500

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