Prediction of pathological complete response to neoadjuvant chemoimmunotherapy in non–small cell lung cancer using 18F-FDG PET radiomics features of primary tumour and lymph nodes

Predicting the response to neoadjuvant chemoimmunotherapy in patients with resectable non-small cell lung cancer (NSCLC) facilitates clinical treatment decisions. Our study aimed to establish a machine learning model that accurately predicts the pathological complete response (pCR) using 18F-FDG PET...

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Библиографические подробности
Главные авторы: XIAO-GANG LIU, Zhilin Ji, Libo Zhang, Linlin Li, Wengui Xu, Qian Su
Формат: Artigo
Язык:английский
Опубликовано: 2025
Online-ссылка:https://doi.org/10.1186/s12885-025-13905-7
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