ArticleQuantitative imaging in medicine and surgery2019
Predicting peritumoral Glisson's sheath invasion of intrahepatic cholangiocarcinoma with preoperative CT imaging.
Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 4 citations in OpenAlex.
- Predicting perineural invasion of intrahepatic cholangiocarcinoma based on CT: a multicenter study.Abdominal radiology (New York) · 2026Article
- Case Report: Diffuse peribiliary metastasis from ovarian cancer mimicking sclerosing cholangitis without a detectable mass.Frontiers in oncology · 2026Article
- SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors.Frontiers in oncology · 2025Article
- Peroral cholangioscopy for the evaluation of bile duct stricture in hepatocellular carcinoma on a preoperative examination.Journal of rural medicine : JRM · 2024Article
- Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs).Computational and mathematical methods in medicine · 2022Article
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundTo investigate the differences of clinicopathological characteristics and computed tomography (CT) features between intrahepatic cholangiocarcinomas (ICC) with and without peritumoral Glisson's sheath invasion (PGSI), and to construct a nomogram to predict PGSI of ICCs preoperatively.
methodsThe clinicopathological characteristics and CT features of 84 ICCs were retrospectively analyzed and compared between ICCs with (30/84, 35.7%) and without PGSI (54/84, 64.3%). Multivariate logistic regression analysis was used to identify preoperative independent predictors of PGSI in ICCs. A nomogram was constructed to predict PGSI preoperatively.
resultsICCs with and without PGSI differed significantly in the presence of abdominal pain, serum carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels, TNM and T stages, tumor location, intratumoral calcifications, intrahepatic bile duct dilatation, intrahepatic bile duct calculus, morphologic type and dynamic enhancement pattern on CT images (all P<0.05). Abdominal pain, serum CEA level, intrahepatic bile duct dilatation, and morphologic type were independent predictors of PGSI in ICCs. A nomogram based on those predictors was constructed to predict PGSI preoperatively with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.908 (P<0.001).
conclusionsClinicopathological characteristics and CT features differed significantly between ICCs with and without PGSI. A nomogram including abdominal pain, serum CEA level, intrahepatic bile duct dilatation, and morphologic type could predict PGSI accurately.
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