ArticleJournal of the American College of Surgeons2015
Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary study.
Article in Journal of the American College of Surgeons, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Predictive Factors for Hypertrophy of the Future Liver Remnant After Portal Vein Embolization: A Systematic Review.Cardiovascular and interventional radiology · 2021Pooled it
- Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score.Journal of cancer research and clinical oncology · 2023Trial
- Radiomics analysis of contrast-enhanced CT for staging liver fibrosis: an update for image biomarker.Hepatology international · 2022Trial
- Exploring radiomics as a predictor of hypertrophy of future liver remnant after portal vein embolization in biliary malignancies: a retrospective cohort study.Abdominal radiology (New York) · 2026Article
- Deep learning model using contrast-enhanced CT imaging features and clinical variables to predict surgical risk after hepatic resection for hepatocellular carcinoma.Frontiers in oncology · 2026Article
- The Application of Augmented Reality Technology in Perioperative Visual Guidance: Technological Advances and Innovation Challenges.Sensors (Basel, Switzerland) · 2024Review
- Association of preoperative antiviral treatment with incidences of post-hepatectomy liver failure in hepatitis B virus-related hepatocellular carcinoma.World journal of gastrointestinal surgery · 2024Article
- Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction.Visual computing for industry, biomedicine, and art · 2024Article
- Inflammatory Markers Showed Significant Incremental Value for Predicting Post-Hepatectomy Liver Failure in Hepatocellular Carcinoma Patients.Life (Basel, Switzerland) · 2023Article
- Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma.World journal of gastroenterology · 2022Article
- Machine learning radiomics can predict early liver recurrence after resection of intrahepatic cholangiocarcinoma.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2022Article
- A functional liver imaging score for preoperative prediction of liver failure after hepatocellular carcinoma resection.European radiology · 2022Article
- Application of artificial intelligence to pancreatic adenocarcinoma.Frontiers in oncology · 2022Review
- Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical Oncologists.Annals of surgical oncology · 2021Article
- Value of contrast-enhanced CT texture analysis in predicting IDH mutation status of intrahepatic cholangiocarcinoma.Scientific reports · 2021Article
- Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure.World journal of gastroenterology · 2020Article
- Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study.European radiology experimental · 2019Article
- Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection.European radiology · 2019Article
- Review
- Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2019Article
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundTexture analysis is a promising method of analyzing imaging data to potentially enhance diagnostic capability. This approach involves automated measurement of pixel intensity variation that may offer further insight into disease progression than do standard imaging techniques alone. We postulated that postoperative liver insufficiency, a major source of morbidity and mortality, correlates with preoperative heterogeneous parenchymal enhancement that can be quantified with texture analysis of cross-sectional imaging. STUDY
designA retrospective case-matched study (waiver of informed consent and HIPAA authorization, approved by the Institutional Review Board) was performed comparing patients who underwent major hepatic resection and developed liver insufficiency (n = 12) with a matched group of patients with no postoperative liver insufficiency (n = 24) by procedure, remnant volume, and year of procedure. Texture analysis (with gray-level co-occurrence matrices) was used to quantify the heterogeneity of liver parenchyma on preoperative CT scans. Statistical significance was evaluated using Wilcoxon's signed rank and Pearson's chi-square tests.
resultsNo statistically significant differences were found between study groups for preoperative patient demographics and clinical characteristics, with the exception of sex (p < 0.05). Two texture features differed significantly between the groups: correlation (linear dependency of gray levels on neighboring pixels) and entropy (randomness of brightness variation) (p < 0.05).
conclusionsIn this preliminary study, the texture of liver parenchyma on preoperative CT was significantly more varied, less symmetric, and less homogeneous in patients with postoperative liver insufficiency. Therefore, texture analysis has the potential to provide an additional means of preoperative risk stratification.
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