Predicting the Local Response of Esophageal Squamous Cell Carcinoma to Neoadjuvant Chemoradiotherapy by Radiomics with a Machine Learning Method Using (18)F-FDG PET Images

Background: This study aimed to propose a machine learning model to predict the local response of resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) treated by neoadjuvant chemoradiotherapy (NCRT) using pretreatment 18-fluorodeoxyglucose positron emission tomography (FDG PET) i...

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Publicado en:Diagnostics (Basel)
Main Authors: Murakami, Yuji, Kawahara, Daisuke, Tani, Shigeyuki, Kubo, Katsumaro, Katsuta, Tsuyoshi, Imano, Nobuki, Takeuchi, Yuki, Nishibuchi, Ikuno, Saito, Akito, Nagata, Yasushi
Formato: Artigo
Idioma:Inglês
Publicado: MDPI 2021
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8227132/
https://ncbi.nlm.nih.gov/pubmed/34200332
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11061049
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