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MRI Radiomics Model Predicts Pathologic Complete Response of Rectal Cancer Following Chemoradiotherapy.
Shin, Jaeseung; Seo, Nieun; Baek, Song-Ee; Son, Nak-Hoon; Lim, Joon Seok; Kim, Nam Kyu; Koom, Woong Sub; Kim, Sungwon.
Afiliación
  • Shin J; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Seo N; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Baek SE; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Son NH; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Lim JS; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Kim NK; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Koom WS; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
  • Kim S; From the Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, South Korea (J.S., N.S., S.E.B., J.S.L., S.K.); Data Science Team, Center for Digital Health, Yongin Severance Hospit
Radiology ; 303(2): 351-358, 2022 05.
Article en En | MEDLINE | ID: mdl-35133200
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias del Recto Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Radiology Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias del Recto Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Radiology Año: 2022 Tipo del documento: Article