Journal article
Contouring workload in adjuvant breast cancer radiotherapy.
- Andrianarison VA Radiation Oncology, CHU de Martinique, boulevard Pasteur, 97200 Fort-de-France, Martinique; Joseph-Ravoahangy-Andrianavalona University Hospital, Antananarivo 101, Madagascar.
- Laouiti M Radiation Oncology, hôpital Fribourgeois, 1708 Fribourg, Switzerland.
- Fargier-Bochaton O Radiation Oncology, Geneva University Hospitals, 1205 Geneva, Switzerland.
- Dipasquale G Radiation Oncology, Geneva University Hospitals, 1205 Geneva, Switzerland.
- Wang X Radiation Oncology, Tianjin Union Medical Center, Tianjin 300121, China.
- Nguyen NP Radiation Oncology, Howard University Hospital, Washington DC 20060, United States.
- Miralbell R Radiation Oncology, Geneva University Hospitals, 1205 Geneva, Switzerland.
- Vinh-Hung V Radiation Oncology, CHU de Martinique, boulevard Pasteur, 97200 Fort-de-France, Martinique. Electronic address: anhxang@gmail.com.
- 2018-10-17
Published in:
- Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique. - 2018
Breast
Contouring
Delineation
Délinéation
Organe à risque
Organs at risk
Sein
Target volumes
Temps de travail
Volume cible
Worktime
Adult
Brachial Plexus
Breast
Breast Neoplasms
Cicatrix
Combined Modality Therapy
Female
Heart
Humans
Image Processing, Computer-Assisted
Lung
Lymphatic Irradiation
Mastectomy, Segmental
Middle Aged
Organ Size
Organs at Risk
Prone Position
Prospective Studies
Radiotherapy Planning, Computer-Assisted
Radiotherapy Setup Errors
Radiotherapy, Adjuvant
Radiotherapy, Image-Guided
Thoracic Wall
Thyroid Gland
Time Factors
Workflow
English
PURPOSE
To measure the impact of contouring on worktime in the adjuvant radiation treatment of breast cancer, and to identify factors that might affect the measurements.
MATERIAL AND METHODS
The dates and times of contouring clinical target volumes and organs at risk were recorded by a senior and by two junior radiation oncologists. Outcome measurements were contour times and the time from start to approval. The factors evaluated were patient age, type of surgery, radiation targets and setup, operator, planning station, part of the day and day of the week on which the contouring started. The Welch test was used to comparatively assess the measurements.
RESULTS
Two hundred and three cases were included in the analysis. The mean contour time per patient was 34minutes for a mean of 4.72 structures, with a mean of 7.1minutes per structure. The clinical target volume and organs at risk times did not differ significantly. The mean time from start to approval per patient was 29.4hours. Factors significantly associated with longer contour times were breast-conserving surgery (P=0.026), prone setup (P=0.002), junior operator (P<0.0001), Pinnacle planning station (P=0.026), contouring start in the morning (P=0.001), and contouring start by the end of the week (P<0.0001). Factors significantly associated with time from start to approval were age (P=0.038), junior operator (P<0.0001), planning station (P=0.016), and contouring start by the end of the week (P=0.004).
CONCLUSION
Contouring is a time-consuming process. Each delineated structure influences worktime, and many factors may be targeted for optimization of the workflow. These preliminary data will serve as basis for future prospective studies to determine how to establish a cost-effective solution.
To measure the impact of contouring on worktime in the adjuvant radiation treatment of breast cancer, and to identify factors that might affect the measurements.
MATERIAL AND METHODS
The dates and times of contouring clinical target volumes and organs at risk were recorded by a senior and by two junior radiation oncologists. Outcome measurements were contour times and the time from start to approval. The factors evaluated were patient age, type of surgery, radiation targets and setup, operator, planning station, part of the day and day of the week on which the contouring started. The Welch test was used to comparatively assess the measurements.
RESULTS
Two hundred and three cases were included in the analysis. The mean contour time per patient was 34minutes for a mean of 4.72 structures, with a mean of 7.1minutes per structure. The clinical target volume and organs at risk times did not differ significantly. The mean time from start to approval per patient was 29.4hours. Factors significantly associated with longer contour times were breast-conserving surgery (P=0.026), prone setup (P=0.002), junior operator (P<0.0001), Pinnacle planning station (P=0.026), contouring start in the morning (P=0.001), and contouring start by the end of the week (P<0.0001). Factors significantly associated with time from start to approval were age (P=0.038), junior operator (P<0.0001), planning station (P=0.016), and contouring start by the end of the week (P=0.004).
CONCLUSION
Contouring is a time-consuming process. Each delineated structure influences worktime, and many factors may be targeted for optimization of the workflow. These preliminary data will serve as basis for future prospective studies to determine how to establish a cost-effective solution.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1016/j.canrad.2018.01.008
- PMID 30322819
- Persistent URL
- https://sonar.ch/global/documents/232854
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