Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy

ObjectiveTo establish a radiomics model based on intratumoral and peritumoral features extracted from pre-treatment CT to predict the major pathological response (MPR) in patients with non-small cell lung cancer (NSCLC) receiving neoadjuvant immunochemotherapy.MethodsA total of 148 NSCLC patients wh...

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Główni autorzy:	Dingpin Huang, Chen Lin, Yangyang Jiang, Enhui Xin, Fangyi Xu, Yi Gan, Rui Xu, Fang Wang, Haiping Zhang, Kaihua Lou, Lei Shi, Hongjie Hu
Format:	Artigo
Język:	Inglês
Wydane:	Frontiers Media S.A. 2024-03-01
Seria:	Frontiers in Oncology
Hasła przedmiotowe:	lung neoplasms machine learning immunotherapy neoadjuvant therapy peritumor
Dostęp online:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1348678/full
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Radiomics model based on intratumoral and peritumoral features for predicting major pathological response in non-small cell lung cancer receiving neoadjuvant immunochemotherapy

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