Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study
ObjectivesIn the present study, we aimed to determine the prognostic value of the 18F-FDG PET/CT-based radiomics model when predicting progression-free survival (PFS) and overall survival (OS) in patients with non-small cell lung cancer (NSCLC).MethodsA total of 368 NSCLC patients who underwent 18F-...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.1047905/full |
| _version_ | 1798017214163451904 |
|---|---|
| author | Jihui Li Bin Zhang Shushan Ge Shengming Deng Shengming Deng Chunhong Hu Shibiao Sang |
| author_facet | Jihui Li Bin Zhang Shushan Ge Shengming Deng Shengming Deng Chunhong Hu Shibiao Sang |
| author_sort | Jihui Li |
| collection | DOAJ |
| description | ObjectivesIn the present study, we aimed to determine the prognostic value of the 18F-FDG PET/CT-based radiomics model when predicting progression-free survival (PFS) and overall survival (OS) in patients with non-small cell lung cancer (NSCLC).MethodsA total of 368 NSCLC patients who underwent 18F-FDG PET/CT before treatment were randomly assigned to the training (n = 257) and validation (n = 111) cohorts. Radiomics signatures from PET and CT images were obtained using LIFEx software, and then clinical and complex models were constructed and validated by selecting optimal parameters based on PFS and OS to construct radiomics signatures.ResultsIn the training cohort, the C-index of the clinical model for predicting PFS and OS in NSCLC patients was 0.748 and 0.834, respectively, and the AUC values were 0.758 and 0.846, respectively. The C-index of the complex model for predicting PFS and OS was 0.775 and 0.881, respectively, and the AUC values were 0.780 and 0.891, respectively. The C-index of the clinical model for predicting PFS and OS in the validation group was 0.729 and 0.832, respectively, and the AUC values were 0.776 and 0.850, respectively. The C-index of the complex model for predicting PFS and OS was 0.755 and 0.867, respectively, and the AUC values were 0.791 and 0.874, respectively. Moreover, decision curve analysis showed that the complex model had a higher net benefit than the clinical model.Conclusions18F-FDG PET/CT radiomics before treatment could predict PFS and OS in NSCLC patients, and the predictive power was higher when combined with clinical factors. |
| first_indexed | 2024-04-11T16:02:11Z |
| format | Article |
| id | doaj.art-0fe97800e08545b8824df0f5b9c839cc |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-11T16:02:11Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-0fe97800e08545b8824df0f5b9c839cc2022-12-22T04:14:54ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-11-011210.3389/fonc.2022.10479051047905Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort studyJihui Li0Bin Zhang1Shushan Ge2Shengming Deng3Shengming Deng4Chunhong Hu5Shibiao Sang6Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, ChinaState Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou, ChinaDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, ChinaObjectivesIn the present study, we aimed to determine the prognostic value of the 18F-FDG PET/CT-based radiomics model when predicting progression-free survival (PFS) and overall survival (OS) in patients with non-small cell lung cancer (NSCLC).MethodsA total of 368 NSCLC patients who underwent 18F-FDG PET/CT before treatment were randomly assigned to the training (n = 257) and validation (n = 111) cohorts. Radiomics signatures from PET and CT images were obtained using LIFEx software, and then clinical and complex models were constructed and validated by selecting optimal parameters based on PFS and OS to construct radiomics signatures.ResultsIn the training cohort, the C-index of the clinical model for predicting PFS and OS in NSCLC patients was 0.748 and 0.834, respectively, and the AUC values were 0.758 and 0.846, respectively. The C-index of the complex model for predicting PFS and OS was 0.775 and 0.881, respectively, and the AUC values were 0.780 and 0.891, respectively. The C-index of the clinical model for predicting PFS and OS in the validation group was 0.729 and 0.832, respectively, and the AUC values were 0.776 and 0.850, respectively. The C-index of the complex model for predicting PFS and OS was 0.755 and 0.867, respectively, and the AUC values were 0.791 and 0.874, respectively. Moreover, decision curve analysis showed that the complex model had a higher net benefit than the clinical model.Conclusions18F-FDG PET/CT radiomics before treatment could predict PFS and OS in NSCLC patients, and the predictive power was higher when combined with clinical factors.https://www.frontiersin.org/articles/10.3389/fonc.2022.1047905/fullNSCLCcarcinomaradiomicsPET/CTprognosis |
| spellingShingle | Jihui Li Bin Zhang Shushan Ge Shengming Deng Shengming Deng Chunhong Hu Shibiao Sang Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study Frontiers in Oncology NSCLC carcinoma radiomics PET/CT prognosis |
| title | Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study |
| title_full | Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study |
| title_fullStr | Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study |
| title_full_unstemmed | Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study |
| title_short | Prognostic value of 18F-FDG PET/CT radiomic model based on primary tumor in patients with non-small cell lung cancer: A large single-center cohort study |
| title_sort | prognostic value of 18f fdg pet ct radiomic model based on primary tumor in patients with non small cell lung cancer a large single center cohort study |
| topic | NSCLC carcinoma radiomics PET/CT prognosis |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.1047905/full |
| work_keys_str_mv | AT jihuili prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy AT binzhang prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy AT shushange prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy AT shengmingdeng prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy AT shengmingdeng prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy AT chunhonghu prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy AT shibiaosang prognosticvalueof18ffdgpetctradiomicmodelbasedonprimarytumorinpatientswithnonsmallcelllungcanceralargesinglecentercohortstudy |