ArticleCancer management and research2020
The Application of Three-Dimensional Visualization in Preoperative Evaluation of Portal Vein Invasion in Hilar Cholangiocarcinoma.
Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Application of imaging technology for the diagnosis of malignancy in the pancreaticobiliary duodenal junction (Review).Oncology letters · 2024Review
- Total laparoscopic radical resection of hilar cholangiocarcinoma: preliminary experience of a single center.BMC surgery · 2024Article
- Hyper accuracy three-dimensional (HA3D™) technology for planning complex liver resections: a preliminary single center experience.Updates in surgery · 2023Observational
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
objectiveThis study aimed to investigate the use of three-dimensional visualization for preoperative evaluation of portal vein invasion in hilar cholangiocarcinoma (HCCA).
methodsThis recombination study for preoperative computerized tomography images was completed in 42 patients undergoing radical resection of HCCA combined with hepatectomy. Portal vein invasion with postoperative pathology was used as a gold standard to decide if the diagnosis was correct or not. We compared the sensitivity, specificity, positive predictive value, negative predictive value, and total correctness of radiologists and a three-dimensional (3D) visualization model for the assessment of tumor-caused portal vein invasion.
resultsThe findings for the estimation of portal vein invasion by radiologists based on CT images were as follows: sensitivity = 90.9%; specificity = 83.8%; positive predictive value = 66.7%; negative predictive value = 96.3%; and overall accuracy = 85.7%. The findings for estimation by the 3D visualization model were as follows: sensitivity = 90.9%; specificity = 96.8%; positive predictive value = 90.9%; negative predictive value = 96.8%; and overall accuracy = 90.5%.
conclusionThe positive predictive value of 3D visualization technology in the diagnosis of portal vein invasion is notably superior to that of subjective assessment by radiologists. This technique can thus play a significant role in preventing unnecessary resectioning of non-invaded portal veins and hepatectomy.
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