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dc.contributor.authorRen, Shuai
dc.contributor.authorZhao, Rui
dc.contributor.authorCui, Wenjing
dc.contributor.authorQiu, Wenli
dc.contributor.authorGuo, Kai
dc.contributor.authorCao, Yingying
dc.contributor.authorDuan, Shaofeng
dc.contributor.authorWang, Zhongqiu
dc.contributor.authorChen, Rong
dc.date.accessioned2020-09-16T14:32:05Z
dc.date.available2020-09-16T14:32:05Z
dc.date.issued2020-08-25
dc.identifier.urihttp://hdl.handle.net/10713/13715
dc.description.abstractPurpose: The purpose was to assess the predictive ability of computed tomography (CT)-based radiomics signature in differential diagnosis between pancreatic adenosquamous carcinoma (PASC) and pancreatic ductal adenocarcinoma (PDAC). Materials and Methods: Eighty-one patients (63.6 ± 8.8 years old) with PDAC and 31 patients (64.7 ± 11.1 years old) with PASC who underwent preoperative CE-CT were included. A total of 792 radiomics features were extracted from the late arterial phase (n = 396) and portal venous phase (n = 396) for each case. Significantly different features were selected using Mann–Whitney U test, univariate logistic regression analysis, and minimum redundancy and maximum relevance method. A radiomics signature was constructed using random forest method, the robustness and the reliability of which was validated using 10-times leave group out cross-validation (LGOCV) method. Results: Seven radiomics features from late arterial phase images and three from portal venous phase images were finally selected. The radiomics signature performed well in differential diagnosis between PASC and PDAC, with 94.5% accuracy, 98.3% sensitivity, 90.1% specificity, 91.9% positive predictive value (PPV), and 97.8% negative predictive value (NPV). Moreover, the radiomics signature was proved to be robust and reliable using the LGOCV method, with 76.4% accuracy, 91.1% sensitivity, 70.8% specificity, 56.7% PPV, and 96.2% NPV. Conclusion: CT-based radiomics signature may serve as a promising non-invasive method in differential diagnosis between PASC and PDAC.en_US
dc.description.sponsorshipTraditional Chinese Medicine Bureau of Guangdong Provinceen_US
dc.description.urihttps://doi.org/10.3389/fonc.2020.01618en_US
dc.language.isoen_USen_US
dc.publisherFrontiers Media S.A.en_US
dc.relation.ispartofFrontiers in Oncologyen_US
dc.subjectadenocarcinomaen_US
dc.subjectadenosquamous carcinomaen_US
dc.subjectcomputed tomographyen_US
dc.subjectpancreasen_US
dc.subjectpancreatic neoplasmsen_US
dc.subjectradiomicsen_US
dc.titleComputed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinoma From Pancreatic Ductal Adenocarcinomaen_US
dc.typeArticleen_US
dc.identifier.doi10.3389/fonc.2020.01618
dc.source.volume10


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