Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery
We investigated the prognostic significance of radiomic features from <sup>18</sup>F-FDG PET/CT to predict overall survival (OS) in patients with stage III NSCLC undergoing neoadjuvant chemoradiation therapy followed by surgery. We enrolled 300 patients with stage III NSCLC who underwent...
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MDPI AG
2023-03-01
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| Online Access: | https://www.mdpi.com/2072-6694/15/7/2012 |
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| author | Jang Yoo Jaeho Lee Miju Cheon Hojoong Kim Yong Soo Choi Hongryull Pyo Myung-Ju Ahn Joon Young Choi |
| author_facet | Jang Yoo Jaeho Lee Miju Cheon Hojoong Kim Yong Soo Choi Hongryull Pyo Myung-Ju Ahn Joon Young Choi |
| author_sort | Jang Yoo |
| collection | DOAJ |
| description | We investigated the prognostic significance of radiomic features from <sup>18</sup>F-FDG PET/CT to predict overall survival (OS) in patients with stage III NSCLC undergoing neoadjuvant chemoradiation therapy followed by surgery. We enrolled 300 patients with stage III NSCLC who underwent PET/CT at the initial work-up (PET1) and after neoadjuvant concurrent chemoradiotherapy (PET2). Radiomic primary tumor features were subjected to LASSO regression to select the most useful prognostic features of OS. The prognostic significance of the LASSO score and conventional PET parameters was assessed by Cox proportional hazards regression analysis. In conventional PET parameters, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of each PET1 and PET2 were significantly associated with OS. In addition, both the PET1-LASSO score and the PET2-LASSO score were significantly associated with OS. In multivariate Cox regression analysis, only the PET2-LASSO score was an independently significant factor for OS. The LASSO score showed better predictive performance for OS regarding the time-dependent receiver operating characteristic curve and decision curve analysis than conventional PET parameters. Radiomic features from PET/CT were an independent prognostic factor for the estimation of OS in stage III NSCLC. The newly developed LASSO score using radiomic features showed better prognostic results for individualized OS estimation than conventional PET parameters. |
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| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-11T05:41:03Z |
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| series | Cancers |
| spelling | doaj.art-8fa942eea3d54235b54d73ebff15fab32023-11-17T16:24:50ZengMDPI AGCancers2072-66942023-03-01157201210.3390/cancers15072012Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by SurgeryJang Yoo0Jaeho Lee1Miju Cheon2Hojoong Kim3Yong Soo Choi4Hongryull Pyo5Myung-Ju Ahn6Joon Young Choi7Department of Nuclear Medicine, Veterans Health Service Medical Center, Seoul 05368, Republic of KoreaDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of KoreaDepartment of Nuclear Medicine, Veterans Health Service Medical Center, Seoul 05368, Republic of KoreaDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of KoreaDepartment of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of KoreaDepartment of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of KoreaDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of KoreaDepartment of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of KoreaWe investigated the prognostic significance of radiomic features from <sup>18</sup>F-FDG PET/CT to predict overall survival (OS) in patients with stage III NSCLC undergoing neoadjuvant chemoradiation therapy followed by surgery. We enrolled 300 patients with stage III NSCLC who underwent PET/CT at the initial work-up (PET1) and after neoadjuvant concurrent chemoradiotherapy (PET2). Radiomic primary tumor features were subjected to LASSO regression to select the most useful prognostic features of OS. The prognostic significance of the LASSO score and conventional PET parameters was assessed by Cox proportional hazards regression analysis. In conventional PET parameters, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of each PET1 and PET2 were significantly associated with OS. In addition, both the PET1-LASSO score and the PET2-LASSO score were significantly associated with OS. In multivariate Cox regression analysis, only the PET2-LASSO score was an independently significant factor for OS. The LASSO score showed better predictive performance for OS regarding the time-dependent receiver operating characteristic curve and decision curve analysis than conventional PET parameters. Radiomic features from PET/CT were an independent prognostic factor for the estimation of OS in stage III NSCLC. The newly developed LASSO score using radiomic features showed better prognostic results for individualized OS estimation than conventional PET parameters.https://www.mdpi.com/2072-6694/15/7/2012non-small cell lung cancer<sup>18</sup>F-FDG PET/CTradiomicsoverall survivalLASSO scoredecision curve analysis |
| spellingShingle | Jang Yoo Jaeho Lee Miju Cheon Hojoong Kim Yong Soo Choi Hongryull Pyo Myung-Ju Ahn Joon Young Choi Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery Cancers non-small cell lung cancer <sup>18</sup>F-FDG PET/CT radiomics overall survival LASSO score decision curve analysis |
| title | Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery |
| title_full | Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery |
| title_fullStr | Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery |
| title_full_unstemmed | Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery |
| title_short | Radiomics Analysis of <sup>18</sup>F-FDG PET/CT for Prognosis Prediction in Patients with Stage III Non-Small Cell Lung Cancer Undergoing Neoadjuvant Chemoradiation Therapy Followed by Surgery |
| title_sort | radiomics analysis of sup 18 sup f fdg pet ct for prognosis prediction in patients with stage iii non small cell lung cancer undergoing neoadjuvant chemoradiation therapy followed by surgery |
| topic | non-small cell lung cancer <sup>18</sup>F-FDG PET/CT radiomics overall survival LASSO score decision curve analysis |
| url | https://www.mdpi.com/2072-6694/15/7/2012 |
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