Development and Validation of a Radiomic-Based Model for Prediction of Intrahepatic Cholangiocarcinoma in Patients With Intrahepatic Lithiasis Complicated by Imagologically Diagnosed Mass Article Swipe
Beihui Xue
,
Sunjie Wu
,
Ming‐Hua Zheng
,
Huanchang Jiang
,
Jun Chen
,
Zhenghao Jiang
,
Tian Tian
,
Yifan Tu
,
Huanhu Zhao
,
Xian Shen
,
Kuvaneshan Ramen
,
Xiuling Wu
,
Qiyu Zhang
,
Qiqiang Zeng
,
Xiangwu Zheng
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fonc.2020.598253
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3389/fonc.2020.598253
Background This study was conducted with the intent to develop and validate a radiomic model capable of predicting intrahepatic cholangiocarcinoma (ICC) in patients with intrahepatic lithiasis (IHL) complicated by imagologically diagnosed mass (IM). Methods A radiomic model was developed in a training cohort of 96 patients with IHL-IM from January 2005 to July 2019. Radiomic characteristics were obtained from arterial-phase computed tomography (CT) scans. The radiomic score (rad-score), based on radiomic features, was built by logistic regression after using the least absolute shrinkage and selection operator (LASSO) method. The rad-score and other independent predictors were incorporated into a novel comprehensive model. The performance of the Model was determined by its discrimination, calibration, and clinical usefulness. This model was externally validated in 35 consecutive patients. Results The rad-score was able to discriminate ICC from IHL in both the training group (AUC 0.829, sensitivity 0.868, specificity 0.635, and accuracy 0.723) and the validation group (AUC 0.879, sensitivity 0.824, specificity 0.778, and accuracy 0.800). Furthermore, the comprehensive model that combined rad-score and clinical features was great in predicting IHL-ICC (AUC 0.902, sensitivity 0.771, specificity 0.923, and accuracy 0.862). Conclusions The radiomic-based model holds promise as a novel and accurate tool for predicting IHL-ICC, which can identify lesions in IHL timely for hepatectomy or avoid unnecessary surgical resection.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fonc.2020.598253
- https://www.frontiersin.org/articles/10.3389/fonc.2020.598253/pdf
- OA Status
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- Cited By
- 17
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W3119740439
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3119740439Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fonc.2020.598253Digital Object Identifier
- Title
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Development and Validation of a Radiomic-Based Model for Prediction of Intrahepatic Cholangiocarcinoma in Patients With Intrahepatic Lithiasis Complicated by Imagologically Diagnosed MassWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-01-07Full publication date if available
- Authors
-
Beihui Xue, Sunjie Wu, Ming‐Hua Zheng, Huanchang Jiang, Jun Chen, Zhenghao Jiang, Tian Tian, Yifan Tu, Huanhu Zhao, Xian Shen, Kuvaneshan Ramen, Xiuling Wu, Qiyu Zhang, Qiqiang Zeng, Xiangwu ZhengList of authors in order
- Landing page
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https://doi.org/10.3389/fonc.2020.598253Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fonc.2020.598253/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/articles/10.3389/fonc.2020.598253/pdfDirect OA link when available
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Intrahepatic Cholangiocarcinoma, Medicine, Radiology, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
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2025: 3, 2024: 3, 2023: 3, 2022: 4, 2021: 4Per-year citation counts (last 5 years)
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27Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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