Integrative habitat analysis and multi-instance deep learning for predictive model of PD-1/PD-L1 immunotherapy efficacy in NSCLC patients: a dual-center retrospective study

Abstract Background PD-1/PD-L1 immunotherapy represents the primary treatment for advanced NSCLC patients; however, response rates to this therapy vary among individuals. This dual-center study aimed to integrate habitat radiomics and multi-instance deep learning to predict durable clinical benefits...

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Ngā taipitopito rārangi puna kōrero

Ngā kaituhi matua:	Xiaoxiao Huang, Xiaoxin Huang, Yurun Xie, Kui Wang, Housheng Bai, Ruiling Ning, Xiqi Zhu, Deyou Huang, Guanqiao Jin
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	BMC 2025-07-01
Rangatū:	BMC Medical Imaging
Ngā marau:	Non-small cell lung cancer Immunotherapy Deep learning Multiple instance learning Habitat analysis PD-L1 expression
Urunga tuihono:	https://doi.org/10.1186/s12880-025-01828-5
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!