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Khodrog OA, Cui F, Xu N, Han Q, Liu J, Gong T, Yuan Q. Prediction of squamous cell carcinoma cases from squamous cell hyperplasia in throat lesions using CT radiomics model. Saudi Med J 2021; 42:284-292. [PMID: 33632907 PMCID: PMC7989270 DOI: 10.15537/smj.2021.42.3.20200617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 02/01/2021] [Indexed: 12/23/2022] Open
Abstract
Objectives: To differentiate squamous cell hyperplasia (SCH) (benign) from squamous cell carcinoma (SCC) malignant) using textural features extracted from CT images and thereby, facilitate the preoperative medical diagnosis and treatment of throat cancers without the need for sample biopsies. Methods: In total, 100 throat cancer patients were selected for this retrospective study. The cases were collected from the Second Hospital of Jilin University, Changchun, China, from June 2017 to January 2019. The patients were separated into a training and validation cohort consisting of 70 and 30 cases, respectively. The Artificial Intelligence Kit software (A.K. software) was used to extract the radiomics features from the CT images. These features were further processed using the minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) methods to obtain a subset of optimal features. The radiomics model was validated based on area-under-the-curve (AUC) values, accuracy, specificity, and sensitivity using the R-studio software. Results: The diagnostic accuracy, specificity, PPV, NPV, and AUC values obtained for the training cohort was 0.91, 0.9, 0.93, 0.9, and 0.96 CT angiography (CTA), 0.93, 0.93, 0.95, 0.90, and 0.96 computed tomography normal (CTN), and 0.92, 0.87, 0.91, 0.96, and 0.96 CT venogram (CTV). These values were subsequently confirmed in the validation cohort. Conclusion: The radiomics-based prediction model proposed in this study successfully differentiated between SCH and SCC throat cancers using CT imaging, thereby facilitating the development of accurate preoperative diagnosis based on specific biomarkers and cancer phenotypes.
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Affiliation(s)
- Osama A. Khodrog
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
| | - Fengzhi Cui
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
| | - Nannan Xu
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
| | - Qinghe Han
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
| | - Jianhua Liu
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
| | - Tingting Gong
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
| | - Qinghai Yuan
- From the Department of Radiology (Khodrog, Cui, Xu, Han, Liu, Gong, Yuan), the Second Hospital of Jilin University, Changchun, China and from the Department of Medical Imaging (Khodrog), Faculty of Applied Medical Health, Palestine Ahliya University, Bethlehem, Palestine.
- Address correspondence and reprint request to: Dr. Qinghai Yuan, Department of Radiology, Norman Bethune College of Medicine, The Second Hospital of Jilin University, Changchun, China. E-mail: ORCID ID: http://orcid.org/0000-0002-5337-5354
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