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Incorporating axillary-lateral thoracic vessel juncture dosimetric variables improves model for predicting lymphedema in patients with breast cancer: A validation analysis.
Suk Chang, Jee; Ko, Heejoo; Hee Im, Sang; Sung Kim, Jin; Kyung Byun, Hwa; Bae Kim, Yong; Jung, Wonguen; Park, Goeun; Sun Lee, Hye; Sung, Wonmo; Olson, Robert; Hong, Chae-Seon; Kim, Kyubo.
Afiliação
  • Suk Chang J; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Republic of Korea.
  • Ko H; College of Medicine, The Catholic University of Korea, Republic of Korea.
  • Hee Im S; Department and Research Institute of Rehabilitation Medicine, Severance Hospital, Yonsei University College of Medicine, Republic of Korea.
  • Sung Kim J; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Republic of Korea.
  • Kyung Byun H; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Republic of Korea.
  • Bae Kim Y; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Republic of Korea.
  • Jung W; Department of Radiation Oncology, Ewha Womans University College of Medicine, Republic of Korea.
  • Park G; Biostatistics Collaboration Unit, Yonsei University College of Medicine, Republic of Korea.
  • Sun Lee H; Biostatistics Collaboration Unit, Yonsei University College of Medicine, Republic of Korea.
  • Sung W; Department of Biomedical Engineering and of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Olson R; British Columbia Cancer Agency - Centre for the North, Prince George, BC, Canada.
  • Hong CS; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Republic of Korea.
  • Kim K; Department of Radiation Oncology, Ewha Womans University College of Medicine, Republic of Korea.
Clin Transl Radiat Oncol ; 41: 100629, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37131951

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article