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    Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinoma From Pancreatic Ductal Adenocarcinoma

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    Author
    Ren, Shuai
    Zhao, Rui
    Cui, Wenjing
    Qiu, Wenli
    Guo, Kai
    Cao, Yingying
    Duan, Shaofeng
    Wang, Zhongqiu
    Chen, Rong
    Date
    2020-08-25
    Journal
    Frontiers in Oncology
    Publisher
    Frontiers Media S.A.
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.3389/fonc.2020.01618
    Abstract
    Purpose: 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.
    Sponsors
    Traditional Chinese Medicine Bureau of Guangdong Province
    Keyword
    adenocarcinoma
    adenosquamous carcinoma
    computed tomography
    pancreas
    pancreatic neoplasms
    radiomics
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/13715
    ae974a485f413a2113503eed53cd6c53
    10.3389/fonc.2020.01618
    Scopus Count
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