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...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , , |
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| Formáid: | Artigo |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
2025
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| Rochtain ar líne: | https://doi.org/10.1186/s12885-025-13905-7 |
| Clibeanna: |
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