Rectal MRI radiomics for predicting pathological complete response: Where we are

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Arquivos
art_MIRANDA_Rectal_MRI_radiomics_for_predicting_pathological_complete_response_2022.PDF (1.12 MB)
Citações na Scopus
14
Tipo de produção
article
Data de publicação
2022
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCIENCE INC
Autores
TAN, Gary Xia Vern
FERNANDES, Maria Clara
YILDIRIM, Onur
SIMS, John A.
ARAUJO-FILHO, Jose De Arimateia Batista
MACHADO, Felipe Augusto de M.
ASSUNCAO-JR, Antonildes N.
HORVAT, Natally
Citação
CLINICAL IMAGING, v.82, p.141-149, 2022
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
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.
Palavras-chave
Rectal neoplasms, Machine learning, Magnetic resonance imaging, Neoadjuvant therapy, Radiomics
URI
https://observatorio.fm.usp.br/handle/OPI/44764
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Coleções
Artigos e Materiais de Revistas Científicas - HC/InCor
Artigos e Materiais de Revistas Científicas - LIM/65
Artigos e Materiais de Revistas Científicas - ODS/03