Predicting pathological response to neoadjuvant or conversion chemoimmunotherapy in stage IB–III non‐small cell lung cancer patients using radiomic features

Autor: Nong Yang, Hai‐Lin Yue, Bai‐Hua Zhang, Juan Chen, Qian Chu, Jian‐Xin Wang, Xiao‐Ping Yu, Lian Jian, Ya‐Wen Bin, Si‐Ye Liu, Jin Liu, Liang Zeng, Hai‐Yan Yang, Chun‐Hua Zhou, Wen‐Juan Jiang, Li Liu, Yong‐Chang Zhang, Yi Xiong, Zhan Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Thoracic Cancer, Vol 14, Iss 28, Pp 2869-2876 (2023)
Druh dokumentu: article
ISSN: 1759-7714
1759-7706
DOI: 10.1111/1759-7714.15052
Popis: Abstract Background To develop a radiomics model based on chest computed tomography (CT) for the prediction of a pathological complete response (pCR) after neoadjuvant or conversion chemoimmunotherapy (CIT) in patients with non‐small cell lung cancer (NSCLC). Methods Patients with stage IB–III NSCLC who received neoadjuvant or conversion CIT between September 2019 and July 2021 at Hunan Cancer Hospital, Xiangya Hospital, and Union Hospital were retrospectively collected. The least absolute shrinkage and selection operator (LASSO) were used to screen features. Then, model 1 (five radiomics features before CIT), model 2 (four radiomics features after CIT and before surgery) and model 3 were constructed for the prediction of pCR. Model 3 included all nine features of model 1 and 2 and was later named the neoadjuvant chemoimmunotherapy‐related pathological response prediction model (NACIP). Results This study included 110 patients: 77 in the training set and 33 in the validation set. Thirty‐nine (35.5%) patients achieved a pCR. Model 1 showed area under the curve (AUC) = 0.65, 64% accuracy, 71% specificity, and 50% sensitivity, while model 2 displayed AUC = 0.81, 73% accuracy, 62% specificity, and 92% sensitivity. In comparison, NACIP yielded a good predictive value, with an AUC of 0.85, 81% accuracy, 81% specificity, and 83% sensitivity in the validation set. Conclusion NACIP may be a potential model for the early prediction of pCR in patients with NSCLC treated with neoadjuvant/conversion CIT.
Databáze: Directory of Open Access Journals
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