---
OA_place: publisher
OA_type: hybrid
_id: '21839'
abstract:
- lang: eng
  text: "Background & Aims: To develop and validate a CT-based radiomics model to
    assess HVPG and predict a composite endpoint of liver-related events (LRE: decompensation
    and liver-related death) in patients with cirrhosis.\r\n\r\nMethods: This retrospective
    study included 357 cirrhosis patients, who received invasive HVPG measurements,
    120 liver-healthy controls (training cohort) and 85 and 100 cirrhosis patients
    (internal and external validation cohorts, respectively), and contrast-enhanced
    abdominal CTs. After volumetric segmentation of the liver and spleen on CT, Bayesian
    parameter optimization was used for selection of extracted features and hyperparameter
    tuning in random forest or elastic net models. Prediction accuracy was evaluated
    using Pearson correlation coefficients of predicted (’radio-HVPG’) and invasive
    HVPG. Discrimination between relevant HVPG cut-offs was determined by receiver
    operating characteristic (ROC) analysis. The predictive value of radio-HVPG and
    invasive-HVPG for LRE was compared using Cox regression models.\r\n\r\nResults:
    Radio-HVPG, predicted by an optimized random forest model based on 74 selected
    CT features, correlated with invasive-HVPG and detected clinically significant
    portal hypertension (CSPH: HVPG ≥ 10 mmHg) on the internal (Pearson r = 0.63,
    AUC 0.89 [95% CI: 0.81–0.96]) and external (Pearson r = 0.62, AUC 0.80 [95% CI:
    0.64–0.91]) validation cohorts. Radio-HVPG predicted LRE when adjusting for MELD
    and albumin (adjusted HR: 1.14 [95% CI: 1.04–1.25], p = 0.005) and performed similarly
    to invasive-HVPG.\r\n\r\nConclusions: Radiomic features accurately predict HVPG
    in patients with cirrhosis and allow risk stratification for LRE in a radiomics-clinical
    signature."
acknowledgement: "The computational results presented were partly obtained using the
  CLIP cluster (https://clip.science/). The authors thank Clemens Watzenboeck from
  the Medical University of Vienna for the assistance in code upload and repository
  maintenance. The authors dedicate this work to the memory of Martin Watzenboeck,
  who served as first author and whose vision and scientific rigor were fundamental
  to the conception and completion of this study. Open Access funding provided by
  Medizinische Universitat Wien/KEMÖ. This work was supported by the Vienna Science
  and Technology Fund (WWTF) through projects VRG15-005 and NXT 19-008 granted to
  J.M and the Clinical Research Group MOTION, Medical University of Vienna, Vienna,
  Austria – a Clinical Research Group Programme project funded by the Ludwig Boltzmann
  Gesellschaft (Grant Nr LBG_KFG_22_32) with funds from the Fonds Zukunft Österreich.\r\n\r\nP-E.R.'s
  research laboratory is supported by the Fondation pour la Recherche Médicale (FRM
  EQU202303016287), “Institut National de la Santé et de la Recherche Médicale” (ATIP
  AVENIR), the “Agence Nationale de la Recherche” (ANR-18-CE14-0006-01, RHU QUID-NASH,
  ANR-18-IDEX-0001, ANR-22-CE14-0002) by « Émergence, Ville de Paris », by Fondation
  ARC, by the European Union's Horizon 2020 research and innovation programme under
  grant agreement No 847949 and by France 2030 RHU LIVER-TRACK."
article_number: e70633
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Celine
  full_name: Sin, Celine
  last_name: Sin
- first_name: Martin Luther
  full_name: Watzenboeck, Martin Luther
  last_name: Watzenboeck
- first_name: Eugenia B
  full_name: Iofinova, Eugenia B
  id: f9a17499-f6e0-11ea-865d-fdf9a3f77117
  last_name: Iofinova
  orcid: 0000-0002-7778-3221
- first_name: Lorenz
  full_name: Balcar, Lorenz
  last_name: Balcar
- first_name: Georg
  full_name: Semmler, Georg
  last_name: Semmler
- first_name: Bernhard
  full_name: Scheiner, Bernhard
  last_name: Scheiner
- first_name: Katharina
  full_name: Lampichler, Katharina
  last_name: Lampichler
- first_name: Mattias
  full_name: Mandorfer, Mattias
  last_name: Mandorfer
- first_name: Lucile
  full_name: Moga, Lucile
  last_name: Moga
- first_name: Pierre‐Emmanuel
  full_name: Rautou, Pierre‐Emmanuel
  last_name: Rautou
- first_name: Maxime
  full_name: Ronot, Maxime
  last_name: Ronot
- first_name: Jörg
  full_name: Menche, Jörg
  last_name: Menche
- first_name: Thomas
  full_name: Reiberger, Thomas
  last_name: Reiberger
- first_name: Martina
  full_name: Scharitzer, Martina
  last_name: Scharitzer
citation:
  ama: Sin C, Watzenboeck ML, Iofinova EB, et al. Radiomics‐based assessment of portal
    hypertension severity and risk stratification of cirrhotic patients using routine
    CT scans. <i>Liver International</i>. 2026;46(5). doi:<a href="https://doi.org/10.1111/liv.70633">10.1111/liv.70633</a>
  apa: Sin, C., Watzenboeck, M. L., Iofinova, E. B., Balcar, L., Semmler, G., Scheiner,
    B., … Scharitzer, M. (2026). Radiomics‐based assessment of portal hypertension
    severity and risk stratification of cirrhotic patients using routine CT scans.
    <i>Liver International</i>. Wiley. <a href="https://doi.org/10.1111/liv.70633">https://doi.org/10.1111/liv.70633</a>
  chicago: Sin, Celine, Martin Luther Watzenboeck, Eugenia B Iofinova, Lorenz Balcar,
    Georg Semmler, Bernhard Scheiner, Katharina Lampichler, et al. “Radiomics‐based
    Assessment of Portal Hypertension Severity and Risk Stratification of Cirrhotic
    Patients Using Routine CT Scans.” <i>Liver International</i>. Wiley, 2026. <a
    href="https://doi.org/10.1111/liv.70633">https://doi.org/10.1111/liv.70633</a>.
  ieee: C. Sin <i>et al.</i>, “Radiomics‐based assessment of portal hypertension severity
    and risk stratification of cirrhotic patients using routine CT scans,” <i>Liver
    International</i>, vol. 46, no. 5. Wiley, 2026.
  ista: Sin C, Watzenboeck ML, Iofinova EB, Balcar L, Semmler G, Scheiner B, Lampichler
    K, Mandorfer M, Moga L, Rautou P, Ronot M, Menche J, Reiberger T, Scharitzer M.
    2026. Radiomics‐based assessment of portal hypertension severity and risk stratification
    of cirrhotic patients using routine CT scans. Liver International. 46(5), e70633.
  mla: Sin, Celine, et al. “Radiomics‐based Assessment of Portal Hypertension Severity
    and Risk Stratification of Cirrhotic Patients Using Routine CT Scans.” <i>Liver
    International</i>, vol. 46, no. 5, e70633, Wiley, 2026, doi:<a href="https://doi.org/10.1111/liv.70633">10.1111/liv.70633</a>.
  short: C. Sin, M.L. Watzenboeck, E.B. Iofinova, L. Balcar, G. Semmler, B. Scheiner,
    K. Lampichler, M. Mandorfer, L. Moga, P. Rautou, M. Ronot, J. Menche, T. Reiberger,
    M. Scharitzer, Liver International 46 (2026).
date_created: 2026-05-07T08:51:47Z
date_published: 2026-05-01T00:00:00Z
date_updated: 2026-05-18T07:20:20Z
day: '01'
ddc:
- '570'
doi: 10.1111/liv.70633
external_id:
  pmid:
  - '41943460'
file:
- access_level: open_access
  checksum: fafcc0b88b8e8caed85849627305d9ba
  content_type: application/pdf
  creator: dernst
  date_created: 2026-05-18T07:10:31Z
  date_updated: 2026-05-18T07:10:31Z
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  relation: main_file
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file_date_updated: 2026-05-18T07:10:31Z
has_accepted_license: '1'
intvolume: '        46'
issue: '5'
keyword:
- computed tomography
- liver
- portal hypertension
- radiomics
- spleen
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: Liver International
publication_identifier:
  eissn:
  - 1478-3231
  issn:
  - 1478-3223
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Radiomics‐based assessment of portal hypertension severity and risk stratification
  of cirrhotic patients using routine CT scans
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 46
year: '2026'
...
