Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with <sup>18</sup>F-FDG PET Radiomics Based Machine Learning Classification
Background: Approximately 26% of esophageal cancer (EC) patients do not respond to neoadjuvant chemoradiotherapy (nCRT), emphasizing the need for pre-treatment selection. The aim of this study was to predict non-response using a radiomic model on baseline <sup>18</sup>F-FDG PET. Methods: Retrospecti...
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| Hauptverfasser: | , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2022-04-01
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| Schriftenreihe: | Diagnostics |
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| Online-Zugang: | https://www.mdpi.com/2075-4418/12/5/1070 |
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