ArticleAbdominal radiology (New York)2018
Intrahepatic cholangiocarcinoma: can imaging phenotypes predict survival and tumor genetics?
Article in Abdominal radiology (New York), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Imaging features based on CT and MRI for predicting prognosis of patients with intrahepatic cholangiocarcinoma: a single-center study and meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Pooled it
- Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification.JCO clinical cancer informatics · 2026Article
- Clinical and dosimetric considerations for yttrium-90 glass microspheres radioembolization of intrahepatic cholangiocarcinoma, metastatic colorectal carcinoma, and metastatic neuroendocrine carcinoma: recommendations from an international multidisciplinary working group.European journal of nuclear medicine and molecular imaging · 2025Review
- Molecular and Histological Profiles and Relevant Imaging Signatures of Intrahepatic Cholangiocarcinoma.Journal of clinical and translational hepatology · 2025Review
- Prediction of regional lymph node metastasis in intrahepatic cholangiocarcinoma: it's not all about size.Abdominal radiology (New York) · 2023Article
- Development and validation of an XGBoost model to predict 5-year survival in elderly patients with intrahepatic cholangiocarcinoma after surgery: a SEER-based study.Journal of gastrointestinal oncology · 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
- An update on radiomics techniques in primary liver cancers.Infectious agents and cancer · 2022Article
- Integrated prognostication of intrahepatic cholangiocarcinoma by contrast-enhanced computed tomography: the adjunct yield of radiomics.Abdominal radiology (New York) · 2021Article
- Genomic profiling of multifocal intrahepatic cholangiocarcinoma reveals intraindividual concordance of genetic alterations.Carcinogenesis · 2021Article
- Outcomes assessment in intrahepatic cholangiocarcinoma using qualitative and quantitative imaging features.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020Article
- Radiomics based on artificial intelligence in liver diseases: where we are?Gastroenterology report · 2020Review
- Combining molecular and imaging metrics in cancer: radiogenomics.Insights into imaging · 2020Review
- Problematic lesions in cirrhotic liver mimicking hepatocellular carcinoma.European radiology · 2019Review
- Radiomics and radiogenomics of primary liver cancers.Clinical and molecular hepatology · 2019Review
- Radiogenomics and Radiomics in Liver Cancers.Diagnostics (Basel, Switzerland) · 2018Review
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Authors and funding
7 authors.
Funding
Abstract
purposeOn computed tomography (CT), intrahepatic cholangiocarcinomas (ICC) are a visibly heterogeneous group of tumors. The purpose of this study was to investigate the associations between CT imaging phenotypes, patient survival, and known genetic markers.
methodsA retrospective study was performed with 66 patients with surgically resected ICC. Pre-surgical CT images of ICC were assessed by radiologists blinded to tumor genetics and patient clinical data. Associations between qualitative imaging features and overall survival (OS) and disease-free survival (DFS) were performed with Cox proportional hazards regression and visualized with Kaplan-Meier plots. Associations between radiographic features and genetic pathways (IDH1, Chromatin and RAS-MAPK) were assessed with Fisher's Exact test and the Wilcoxon Rank sum test where appropriate and corrected for multiple comparisons within each pathway using the False Discovery Rate correction.
resultsThree imaging features were significantly associated with a higher risk of death: necrosis (hazard ratio (HR) 2.95 95% CI 1.44-6.04, p = 0.029), satellite nodules (HR 3.29, 95% CI:1.35-8.02, p = 0.029), and vascular encasement (HR 2.63, 95% CI 1.28-5.41, p = 0.029). Additionally, with each increase in axial size, the risk of death increased (HR 1.14, 95% CI 1.03-1.26, p = 0.029). Similar to findings for OS, satellite nodules (HR 3.81, 95% CI 1.88-7.71, p = 0.002) and vascular encasement (HR 2.25, 95% CI 1.24-4.06, p = 0.019) were associated with increased risk of recurrence/death. No significant associations were found between radiographic features and genes in the IDH1, Chromatin or RAS-MAPK pathways (p = 0.63-84).
conclusionThis preliminary analysis of resected ICC suggests associations between CT imaging features and OS and DFS. No association was identified between imaging features and currently known genetic pathways.
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