CT-Based Radiomics Nomogram for Prediction of Progression-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma
| Autor: | Hai Liao, Xiao-Bo Chen, Ling Li, Zhong-Guo Liang, Dan-Ke Su, Xiao-Dong Zhu, Chang Yan, Xia Liang, De-Song Shen, Kai-Hua Chen |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
business.industry computed tomography Nomogram TNM staging system locoregionally advanced nasopharyngeal carcinoma medicine.disease Regression nomogram Oncology Radiomics Nasopharyngeal carcinoma radiomics Region of interest Cancer Management and Research Medicine Progression-free survival Radiology Stage (cooking) business Original Research |
| Zdroj: | Cancer Management and Research |
| ISSN: | 1179-1322 4244-2427 |
| Popis: | Chang Yan,1 De-Song Shen,1 Xiao-Bo Chen,2 Dan-Ke SU,3 Zhong-Guo Liang,1 Kai-Hua Chen,1 Ling Li,1 Xia Liang,1 Hai Liao,3 Xiao-Dong Zhu1,4 1Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, Peopleâs Republic of China; 2School of First Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, 310053, Peopleâs Republic of China; 3Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, Peopleâs Republic of China; 4Affiliated Wuming Hospital of Guangxi Medical University, Nanning, Guangxi, 530100, Peopleâs Republic of ChinaCorrespondence: Xiao-Dong ZhuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, 71 Hedi Road, Nanning City, Guangxi, 530021, Peopleâs Republic of ChinaTel +86 771 533 1466Email zhuxdonggxmu@126.comHai LiaoDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, Peopleâs Republic of ChinaTel +86 771 533 4950Email 42442427@qq.comPurpose: We aimed to construct of a nomogram to predict progression-free survival (PFS) in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) with risk stratification using computed tomography (CT) radiomics features and clinical factors.Patients and Methods: A total of 311 patients diagnosed with LA-NPC (stage IIIâIVa) at our hospital between 2010 and 2014 were included. The region of interest (ROI) of the primary nasopharyngeal mass was manually outlined. Independent sample t-test and LASSO-logistic regression were used for selecting the most predictive radiomics features of PFS, and to generate a radiomics signature. A nomogram was built with clinical factors and radiomics features, and the risk stratification model was tested accordingly.Results: In total, 20 radiomics features most associated with prognosis were selected. The radiomics nomogram, which integrated the radiomics signature and significant clinical factors, showed excellent performance in predicting PFS, with C-index of 0.873 (95% CI: 0.803â¼ 0.943), which was better than that of the clinical nomogram (C-index, 0.729, 95% CI: 0.620â¼ 0.838) as well as of the TNM staging system (C-index, 0.689, 95% CI: 0.592â 0.787) in validation cohort. The calibration curves and the decision curve analysis (DCA) plot obtained suggested satisfying accuracy and clinical utility of the model. The risk stratification tool was able to predict differences in prognosis of patients in different risk categories (p< 0.001).Conclusion: CT-based radiomics features, an in particular, radiomics nomograms, have the potential to become an accurate and reliable tool for assisting with prognosis prediction of LA-NPC.Keywords: computed tomography, locoregionally advanced nasopharyngeal carcinoma, radiomics, nomogram |
| Databáze: | OpenAIRE |
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