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Diagnostic accuracy of an AI-based pathologic response assessment in locally advanced non-small cell lung cancer after neoadjuvant chemo-immunotherapy

Abstract Background Neoadjuvant chemo-immunotherapy has shown promise in improving survival outcomes for non-small cell lung cancer (NSCLC) patients, with pathologic response serving as a critical predictor of long-term outcomes. However, manual assessment of pathologic response is labor-intensive a...

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Uloženo v:
Hlavní autoři: Ki-Chang Lee, Haenara Shin, Jungyoon Ohn, Ji Hyeon Park, Samina Park, In Kyu Park, Chang Hyun Kang, Young Tae Kim, Hongyoon Choi, Jaemoon Koh, Kwon Joong Na
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2026-03-01
Edice:BMC Cancer
Témata:
Non-small cell lung cancer
Neoadjuvant chemo-immunotherapy
Artificial intelligence
Digital pathology
Pathologic response
Major pathologic response
On-line přístup:https://doi.org/10.1186/s12885-026-15885-8
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