Advanced gastric cancer: CT radiomics prediction and early detection of downstaging with neoadjuvant chemotherapy

OBJECTIVES: To develop and evaluate machine learning models using baseline and restaging computed tomography (CT) for predicting and early detecting pathological downstaging (pDS) with neoadjuvant chemotherapy in advanced gastric cancer (AGC). METHODS: We collected 292 AGC patients who received neoa...

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Detalles Bibliográficos
Autores principales: Xu, Qinmei, Sun, Zeyu, Li, Xiuli, Ye, Chen, Zhou, Changsheng, Zhang, Longjiang, Lu, Guangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523390/
https://www.ncbi.nlm.nih.gov/pubmed/33909133
http://dx.doi.org/10.1007/s00330-021-07962-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523390/
https://www.ncbi.nlm.nih.gov/pubmed/33909133
http://dx.doi.org/10.1007/s00330-021-07962-2

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