Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy.

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Title: Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy.
Authors: Sabino AU; Departamento de Radiologia e Oncologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil., Safatle-Ribeiro AV; Departamento de Gastroenterologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil., Lima SS; Escola de Artes, Ciencias e Humanidades, Universidade de Sao Paulo, Sao Paulo 03828-000, SP, Brazil., Marques CFS; Departamento de Gastroenterologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil., Maluf-Filho F; Departamento de Gastroenterologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil., Ramos AF; Departamento de Radiologia e Oncologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil; Escola de Artes, Ciencias e Humanidades, Universidade de Sao Paulo, Sao Paulo 03828-000, SP, Brazil.
Source: Critical reviews in oncogenesis [Crit Rev Oncog] 2024; Vol. 29 (2), pp. 53-63.
Publication Type: Journal Article
Journal Info: Publisher: Begell House Country of Publication: United States NLM ID: 8914610 Publication Model: Print Cited Medium: Internet ISSN: 2162-6448 (Electronic) Linking ISSN: 08939675 NLM ISO Abbreviation: Crit Rev Oncog Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy.
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  Data: <searchLink fieldCode="AU" term="%22Sabino+AU%22">Sabino AU</searchLink>; Departamento de Radiologia e Oncologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Safatle-Ribeiro+AV%22">Safatle-Ribeiro AV</searchLink>; Departamento de Gastroenterologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Lima+SS%22">Lima SS</searchLink>; Escola de Artes, Ciencias e Humanidades, Universidade de Sao Paulo, Sao Paulo 03828-000, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Marques+CFS%22">Marques CFS</searchLink>; Departamento de Gastroenterologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Maluf-Filho+F%22">Maluf-Filho F</searchLink>; Departamento de Gastroenterologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil.<br /><searchLink fieldCode="AU" term="%22Ramos+AF%22">Ramos AF</searchLink>; Departamento de Radiologia e Oncologia, Instituto do Cancer do Estado de Sao Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 01246-000, SP, Brazil; Escola de Artes, Ciencias e Humanidades, Universidade de Sao Paulo, Sao Paulo 03828-000, SP, Brazil.
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        Value: 10.1615/CritRevOncog.2023050075
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        Text: English
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      – TitleFull: Machine Learning-Based Prediction of Responsiveness to Neoadjuvant Chemoradiotheapy in Locally Advanced Rectal Cancer Patients from Endomicroscopy.
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              Text: 2024
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