Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma
ABSTRACT Purpose The objective is to establish a radiomics nomogram (Rad‐nomogram) using dual‐phase enhanced computed tomography (DPE‐CT) for the prediction of progression‐free survival (PFS) in patients diagnosed with stage IV lung adenocarcinoma (ADC). Methods From DPE‐CT scans, radiomic character...
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Wiley
2024-12-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.70473 |
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| author | Haitao Sun Zhaohui Peng Guoyue Chen Zhengjun Dai Jian Yao Peng Zhou |
| author_facet | Haitao Sun Zhaohui Peng Guoyue Chen Zhengjun Dai Jian Yao Peng Zhou |
| author_sort | Haitao Sun |
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| description | ABSTRACT Purpose The objective is to establish a radiomics nomogram (Rad‐nomogram) using dual‐phase enhanced computed tomography (DPE‐CT) for the prediction of progression‐free survival (PFS) in patients diagnosed with stage IV lung adenocarcinoma (ADC). Methods From DPE‐CT scans, radiomic characteristics were retrieved from 133 patients diagnosed with stage IV lung ADC. Clinical data were analyzed using univariate and multivariate Cox regression analyses. The radiomics signature was combined with clinical features employing multivariate Cox analysis in order to develop a Rad‐nomogram. The predictive efficiency of the nomogram was evaluated using survival studies, such as Kaplan–Meier curves and Harrell's C‐index. The benefits and clinical utility of various models were compared using the net reclassification index (NRI), decision curve analysis (DCA), and integrated discrimination improvement (IDI). Results In the test cohort, the C‐indexes for the clinical, artery, and vein phase CT models were 0.675, 0.691, and 0.678, respectively. The dual‐phase achieved a C‐index of 0.731, exceeding the CT model, while the developed nomogram reached a C‐index of 0.783. The Kaplan–Meier survival study classified patients into low‐risk and high‐risk groups related to PFS using the Rad‐nomogram (p < 0.05). The Rad‐nomogram demonstrated a greater net advantage when compared with clinical and Rad models, as indicated by positive values of the NRI and IDI (ranging from 11.6% to 52.6%, p < 0.05). Conclusion The Rad‐nomogram, employing DPE‐CT scans, offers a promising approach to predict PFS in individuals diagnosed with stage IV lung ADC. |
| format | Article |
| id | doaj-art-d49c4e0ed8d9470c8f867d86c23e6736 |
| institution | OA Journals |
| issn | 2045-7634 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
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| series | Cancer Medicine |
| spelling | doaj-art-d49c4e0ed8d9470c8f867d86c23e67362025-08-20T02:34:19ZengWileyCancer Medicine2045-76342024-12-011323n/an/a10.1002/cam4.70473Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung AdenocarcinomaHaitao Sun0Zhaohui Peng1Guoyue Chen2Zhengjun Dai3Jian Yao4Peng Zhou5Medical Imaging Center of Central Hospital Affiliated to Shandong First Medical University Jinan Shandong ChinaMedical Imaging Center of Central Hospital Affiliated to Shandong First Medical University Jinan Shandong ChinaMedical Imaging Center of Central Hospital Affiliated to Shandong First Medical University Jinan Shandong ChinaScientific Research Department of Huiying Medical Technology Co. Ltd Beijing ChinaMedical Imaging Center of Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan Shandong ChinaMedical Imaging Center of Central Hospital Affiliated to Shandong First Medical University Jinan Shandong ChinaABSTRACT Purpose The objective is to establish a radiomics nomogram (Rad‐nomogram) using dual‐phase enhanced computed tomography (DPE‐CT) for the prediction of progression‐free survival (PFS) in patients diagnosed with stage IV lung adenocarcinoma (ADC). Methods From DPE‐CT scans, radiomic characteristics were retrieved from 133 patients diagnosed with stage IV lung ADC. Clinical data were analyzed using univariate and multivariate Cox regression analyses. The radiomics signature was combined with clinical features employing multivariate Cox analysis in order to develop a Rad‐nomogram. The predictive efficiency of the nomogram was evaluated using survival studies, such as Kaplan–Meier curves and Harrell's C‐index. The benefits and clinical utility of various models were compared using the net reclassification index (NRI), decision curve analysis (DCA), and integrated discrimination improvement (IDI). Results In the test cohort, the C‐indexes for the clinical, artery, and vein phase CT models were 0.675, 0.691, and 0.678, respectively. The dual‐phase achieved a C‐index of 0.731, exceeding the CT model, while the developed nomogram reached a C‐index of 0.783. The Kaplan–Meier survival study classified patients into low‐risk and high‐risk groups related to PFS using the Rad‐nomogram (p < 0.05). The Rad‐nomogram demonstrated a greater net advantage when compared with clinical and Rad models, as indicated by positive values of the NRI and IDI (ranging from 11.6% to 52.6%, p < 0.05). Conclusion The Rad‐nomogram, employing DPE‐CT scans, offers a promising approach to predict PFS in individuals diagnosed with stage IV lung ADC.https://doi.org/10.1002/cam4.70473computed tomographylung adenocarcinomanomogramprogression‐free survivalradiomics |
| spellingShingle | Haitao Sun Zhaohui Peng Guoyue Chen Zhengjun Dai Jian Yao Peng Zhou Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma Cancer Medicine computed tomography lung adenocarcinoma nomogram progression‐free survival radiomics |
| title | Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma |
| title_full | Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma |
| title_fullStr | Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma |
| title_full_unstemmed | Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma |
| title_short | Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma |
| title_sort | dual phase enhanced ct derived radiomics nomogram for progression free survival prediction in stage iv lung adenocarcinoma |
| topic | computed tomography lung adenocarcinoma nomogram progression‐free survival radiomics |
| url | https://doi.org/10.1002/cam4.70473 |
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