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Integration of automation into an existing clinical workflow to improve efficiency and reduce errors in the manual treatment planning process for total body irradiation (TBI).
Thomas, David H; Miller, Brian; Rabinovitch, Rachel; Milgrom, Sarah; Kavanagh, Brian; Diot, Quentin; Miften, Moyed; Schubert, Leah K.
Affiliation
  • Thomas DH; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Miller B; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Rabinovitch R; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Milgrom S; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Kavanagh B; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Diot Q; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Miften M; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
  • Schubert LK; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
J Appl Clin Med Phys ; 21(7): 100-106, 2020 Jul.
Article in En | MEDLINE | ID: mdl-32426947
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Whole-Body Irradiation Limits: Humans Language: En Journal: J Appl Clin Med Phys Journal subject: BIOFISICA Year: 2020 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Whole-Body Irradiation Limits: Humans Language: En Journal: J Appl Clin Med Phys Journal subject: BIOFISICA Year: 2020 Document type: Article Affiliation country: United States Country of publication: United States