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Rectal MRI radiomics for predicting pathological complete response: Where we are.
Miranda, Joao; Tan, Gary Xia Vern; Fernandes, Maria Clara; Yildirim, Onur; Sims, John A; Araujo-Filho, Jose de Arimateia Batista; de M Machado, Felipe Augusto; Assuncao-Jr, Antonildes N; Nomura, Cesar Higa; Horvat, Natally.
Afiliação
  • Miranda J; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil; Department of Radiology, Diagnosticos da America SA (DASA), Sao Paulo, SP, Brazil.
  • Tan GXV; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Fernandes MC; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: fernanm3@mskcc.org.
  • Yildirim O; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: yildirio@mskcc.org.
  • Sims JA; Department of Biomedical Engineering, Universidade Federal do ABC, Santo Andre, SP, Brazil.
  • Araujo-Filho JAB; Department of Radiology, Hospital Sirio-Libanes, Sao Paulo, Brazil.
  • de M Machado FA; Polytechnic School, University of São Paulo, São Paulo, Brazil. Electronic address: felipe.augusto.machado@usp.br.
  • Assuncao-Jr AN; Research and Education Institute, Hospital Sirio-Libanes, Sao Paulo, Brazil.
  • Nomura CH; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil; Department of Radiology, Hospital Sirio-Libanes, Sao Paulo, Brazil.
  • Horvat N; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: horvatn@mskcc.org.
Clin Imaging ; 82: 141-149, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34826772
ABSTRACT
Radiomics using rectal MRI radiomics has emerged as a promising approach in predicting pathological complete response. In this study, we present a typical pipeline of a radiomics analysis and review recent studies, exploring applications, development of radiomics methodologies and model construction in pCR prediction. Finally, we will offer our opinion about the future and discuss the next steps of rectal MRI radiomics for predicting pCR.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil
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