CT radiomic features for predicting resectability and TNM staging in thymic epithelial tumors Journal Article
| Authors: | Araujo-Filho, J. A. B.; Mayoral, M.; Zheng, J.; Tan, K. S.; Gibbs, P.; Shepherd, A. F.; Rimner, A.; Simone, C. B. 2nd; Riely, G.; Huang, J.; Ginsberg, M. S. |
| Article Title: | CT radiomic features for predicting resectability and TNM staging in thymic epithelial tumors |
| Abstract: | Background: To explore the performance of a computed tomography based radiomics model in the preoperative prediction of resectability status and TNM staging in thymic epithelial tumors. Methods: We reviewed the last preoperative computed tomography scan of patients with thymic epithelial tumors prior to resection and pathology evaluation at our institution between February 2008 and June 2019. A total of 101 quantitative features were extracted and a radiomics model was trained using elastic net penalized logistic regressions for each aim. In the set-aside testing sets, discriminating performance of each model was assessed with area under receiver operating characteristic curve. Results: Our final population consisted of 243 patients with: 153 (87%) thymomas, 23 (9%) thymic carcinomas, and 9 (4%) thymic carcinoids. Incomplete resections (R1 or R2) occurred in 38 (16%) patients, and 67 (28%) patients had more advanced stage tumors (stage III or IV). In the set-aside testing sets, the radiomics model achieved good performance in preoperatively predicting incomplete resections (area under receiver operating characteristic curve: 0.80) and advanced stage tumors (area under receiver operating characteristic curve: 0.70). Conclusions: Our computed tomography radiomics model achieved good performance to predict resectability status and staging in thymic epithelial tumors, suggesting a potential value for the evaluation of radiomic features in the preoperative prediction of surgical outcomes in thymic malignancies. © 2022 The Society of Thoracic Surgeons |
| Keywords: | adult; major clinical study; cancer patient; cancer radiotherapy; cancer staging; antineoplastic agent; preoperative evaluation; computer assisted tomography; cohort analysis; contrast enhancement; tumor recurrence; recurrent disease; contrast medium; carcinoid; neoadjuvant chemotherapy; thymoma; sternotomy; thymectomy; predictive value; receiver operating characteristic; en bloc resection; surgical margin; image segmentation; thymus carcinoma; feature extraction; human; male; female; article; radiomics; thymic epithelial neoplasm |
| Journal Title: | Annals of Thoracic Surgery |
| Volume: | 113 |
| Issue: | 3 |
| ISSN: | 0003-4975 |
| Publisher: | Elsevier Science, Inc. |
| Date Published: | 2022-03-01 |
| Start Page: | 957 |
| End Page: | 965 |
| Language: | English |
| DOI: | 10.1016/j.athoracsur.2021.03.084 |
| PUBMED: | 33844992 |
| PROVIDER: | scopus |
| PMCID: | PMC9475805 |
| DOI/URL: | |
| Notes: | Article -- Export Date: 1 March 2022 -- Source: Scopus |
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