Radiomics Model to Predict Early Progression of Nonmetastatic Nasopharyngeal Carcinoma after Intensity Modulation Radiation Therapy: A Multicenter Study

PURPOSE: To examine the prognostic value of a machine learning model trained with pretreatment MRI radiomic features in the assessment of patients with nonmetastatic nasopharyngeal carcinoma (NPC) who are at risk for 3-year disease progression after intensity-modulated radiation therapy and to expla...

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Enregistré dans:
Détails bibliographiques
Publié dans:Radiol Artif Intell
Auteurs principaux: Du, Richard, Lee, Victor H., Yuan, Hui, Lam, Ka-On, Pang, Herbert H., Chen, Yu, Lam, Edmund Y., Khong, Pek-Lan, Lee, Anne W., Kwong, Dora L., Vardhanabhuti, Varut
Format: Artigo
Langue:Inglês
Publié: Radiological Society of North America 2019
Sujets:
Original Research
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8017427/
https://ncbi.nlm.nih.gov/pubmed/33937796
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180075
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