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Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter

BACKGROUND: To investigate the value of (18)F-FDG PET/CT molecular radiomics combined with a clinical model in predicting thoracic lymph node metastasis (LNM) in invasive lung adenocarcinoma (≤ 3 cm). METHODS: A total of 528 lung adenocarcinoma patients were enrolled in this retrospective study. Fiv...

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Autores principales: Chang, Cheng, Ruan, Maomei, Lei, Bei, Yu, Hong, Zhao, Wenlu, Ge, Yaqiong, Duan, Shaofeng, Teng, Wenjing, Wu, Qianfu, Qian, Xiaohua, Wang, Lihua, Yan, Hui, Liu, Ciyi, Liu, Liu, Feng, Jian, Xie, Wenhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023644/
https://www.ncbi.nlm.nih.gov/pubmed/35445899
http://dx.doi.org/10.1186/s13550-022-00895-x
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author Chang, Cheng
Ruan, Maomei
Lei, Bei
Yu, Hong
Zhao, Wenlu
Ge, Yaqiong
Duan, Shaofeng
Teng, Wenjing
Wu, Qianfu
Qian, Xiaohua
Wang, Lihua
Yan, Hui
Liu, Ciyi
Liu, Liu
Feng, Jian
Xie, Wenhui
author_facet Chang, Cheng
Ruan, Maomei
Lei, Bei
Yu, Hong
Zhao, Wenlu
Ge, Yaqiong
Duan, Shaofeng
Teng, Wenjing
Wu, Qianfu
Qian, Xiaohua
Wang, Lihua
Yan, Hui
Liu, Ciyi
Liu, Liu
Feng, Jian
Xie, Wenhui
author_sort Chang, Cheng
collection PubMed
description BACKGROUND: To investigate the value of (18)F-FDG PET/CT molecular radiomics combined with a clinical model in predicting thoracic lymph node metastasis (LNM) in invasive lung adenocarcinoma (≤ 3 cm). METHODS: A total of 528 lung adenocarcinoma patients were enrolled in this retrospective study. Five models were developed for the prediction of thoracic LNM, including PET radiomics, CT radiomics, PET/CT radiomics, clinical and integrated PET/CT radiomics-clinical models. Ten PET/CT radiomics features and two clinical characteristics were selected for the construction of the integrated PET/CT radiomics-clinical model. The predictive performance of all models was examined by receiver operating characteristic (ROC) curve analysis, and clinical utility was validated by nomogram analysis and decision curve analysis (DCA). RESULTS: According to ROC curve analysis, the integrated PET/CT molecular radiomics-clinical model outperformed the clinical model and the three other radiomics models, and the area under the curve (AUC) values of the integrated model were 0.95 (95% CI: 0.93–0.97) in the training group and 0.94 (95% CI: 0.89–0.97) in the test group. The nomogram analysis and DCA confirmed the clinical application value of this integrated model in predicting thoracic LNM. CONCLUSIONS: The integrated PET/CT molecular radiomics-clinical model proposed in this study can ensure a higher level of accuracy in predicting the thoracic LNM of clinical invasive lung adenocarcinoma (≤ 3 cm) compared with the radiomics model or clinical model alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-022-00895-x.
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spelling pubmed-90236442022-05-06 Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter Chang, Cheng Ruan, Maomei Lei, Bei Yu, Hong Zhao, Wenlu Ge, Yaqiong Duan, Shaofeng Teng, Wenjing Wu, Qianfu Qian, Xiaohua Wang, Lihua Yan, Hui Liu, Ciyi Liu, Liu Feng, Jian Xie, Wenhui EJNMMI Res Original Research BACKGROUND: To investigate the value of (18)F-FDG PET/CT molecular radiomics combined with a clinical model in predicting thoracic lymph node metastasis (LNM) in invasive lung adenocarcinoma (≤ 3 cm). METHODS: A total of 528 lung adenocarcinoma patients were enrolled in this retrospective study. Five models were developed for the prediction of thoracic LNM, including PET radiomics, CT radiomics, PET/CT radiomics, clinical and integrated PET/CT radiomics-clinical models. Ten PET/CT radiomics features and two clinical characteristics were selected for the construction of the integrated PET/CT radiomics-clinical model. The predictive performance of all models was examined by receiver operating characteristic (ROC) curve analysis, and clinical utility was validated by nomogram analysis and decision curve analysis (DCA). RESULTS: According to ROC curve analysis, the integrated PET/CT molecular radiomics-clinical model outperformed the clinical model and the three other radiomics models, and the area under the curve (AUC) values of the integrated model were 0.95 (95% CI: 0.93–0.97) in the training group and 0.94 (95% CI: 0.89–0.97) in the test group. The nomogram analysis and DCA confirmed the clinical application value of this integrated model in predicting thoracic LNM. CONCLUSIONS: The integrated PET/CT molecular radiomics-clinical model proposed in this study can ensure a higher level of accuracy in predicting the thoracic LNM of clinical invasive lung adenocarcinoma (≤ 3 cm) compared with the radiomics model or clinical model alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-022-00895-x. Springer Berlin Heidelberg 2022-04-21 /pmc/articles/PMC9023644/ /pubmed/35445899 http://dx.doi.org/10.1186/s13550-022-00895-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Chang, Cheng
Ruan, Maomei
Lei, Bei
Yu, Hong
Zhao, Wenlu
Ge, Yaqiong
Duan, Shaofeng
Teng, Wenjing
Wu, Qianfu
Qian, Xiaohua
Wang, Lihua
Yan, Hui
Liu, Ciyi
Liu, Liu
Feng, Jian
Xie, Wenhui
Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
title Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
title_full Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
title_fullStr Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
title_full_unstemmed Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
title_short Development of a PET/CT molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
title_sort development of a pet/ct molecular radiomics-clinical model to predict thoracic lymph node metastasis of invasive lung adenocarcinoma ≤ 3 cm in diameter
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023644/
https://www.ncbi.nlm.nih.gov/pubmed/35445899
http://dx.doi.org/10.1186/s13550-022-00895-x
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