Development and clinical validation of Knowledge-based planning for Volumetric Modulated Arc Therapy of cervical cancer including pelvic and para aortic fields. (April 2021)
- Record Type:
- Journal Article
- Title:
- Development and clinical validation of Knowledge-based planning for Volumetric Modulated Arc Therapy of cervical cancer including pelvic and para aortic fields. (April 2021)
- Main Title:
- Development and clinical validation of Knowledge-based planning for Volumetric Modulated Arc Therapy of cervical cancer including pelvic and para aortic fields
- Authors:
- Swamidas, Jamema
Pradhan, Sangram
Chopra, Supriya
Panda, Subhajit
Gupta, Yashna
Sood, Sahil
Mohanty, Samarpita
Jain, Jeevanshu
Joshi, Kishore
Ph, Reena
Gurram, Lavanya
Mahantshetty, Umesh
Prakash Agarwal, Jai - Abstract:
- Highlights: A knowledge-based planning model was configured for VMAT of cervical cancer. Knowledge-based plans were comparable, and for some OARs, outperformed clinical plans. Improved organ sparing was observed, when individual patient geometry was considered. Abstract: Background and Purpose: Knowledge-based planning (KBP) is based on a model to estimate dose-volume histograms, configured using a library of historical treatment plans to efficiently create high quality plans. The aim was to report configuration and validation of KBP for Volumetric Modulated Arc Therapy of cervical cancer. Materials and methods: A KBP model was configured from the institutional database (n = 125), including lymph node positive (n = 60) and negative (n = 65) patients. KBP Predicted plans were compared with Clinical Plans (CP) and Re-plans (Predicted plan as a base-plan) to validate the model. Model quality was quantified using coefficient of determination R2, mean square error (MSE), standard two-tailed paired t-test and Wilcoxon signed rank test. Results: Estimation capability of the model was good for the bowel bag (MSE = 0.001, R2 = 0.84), modest for the bladder (MSE = 0.008) and poor for the rectum (MSE = 0.02 R2 = 0.78). KBP resulted in comparable target coverage, superior organ sparing as compared to CP. Re-plans outperformed CP for the bladder, V30 (66 ± 11% vs 74 ± 11%, p < .001), V40 (48 ± 14% vs 52 ± 14%, p < .001), however sparing was modest for the bowel bag V30 (413 ± 191cm 3 vsHighlights: A knowledge-based planning model was configured for VMAT of cervical cancer. Knowledge-based plans were comparable, and for some OARs, outperformed clinical plans. Improved organ sparing was observed, when individual patient geometry was considered. Abstract: Background and Purpose: Knowledge-based planning (KBP) is based on a model to estimate dose-volume histograms, configured using a library of historical treatment plans to efficiently create high quality plans. The aim was to report configuration and validation of KBP for Volumetric Modulated Arc Therapy of cervical cancer. Materials and methods: A KBP model was configured from the institutional database (n = 125), including lymph node positive (n = 60) and negative (n = 65) patients. KBP Predicted plans were compared with Clinical Plans (CP) and Re-plans (Predicted plan as a base-plan) to validate the model. Model quality was quantified using coefficient of determination R2, mean square error (MSE), standard two-tailed paired t-test and Wilcoxon signed rank test. Results: Estimation capability of the model was good for the bowel bag (MSE = 0.001, R2 = 0.84), modest for the bladder (MSE = 0.008) and poor for the rectum (MSE = 0.02 R2 = 0.78). KBP resulted in comparable target coverage, superior organ sparing as compared to CP. Re-plans outperformed CP for the bladder, V30 (66 ± 11% vs 74 ± 11%, p < .001), V40 (48 ± 14% vs 52 ± 14%, p < .001), however sparing was modest for the bowel bag V30 (413 ± 191cm 3 vs 445 ± 208cm 3, p = .037) V40 (199 ± 105cm 3 vs 218 ± 127cm 3, p = .031). All plans were comparable for rectum, while KBP resulted in significant sparing for spinal cord, kidneys and femoral heads. Conclusion: KBP yielded comparable and for some organs superior performance compared to CP resulting in conformal and homogeneous target coverage. Improved organ sparing was observed when individual patient geometry was considered. … (more)
- Is Part Of:
- Physics and imaging in radiation oncology. Volume 18(2021)
- Journal:
- Physics and imaging in radiation oncology
- Issue:
- Volume 18(2021)
- Issue Display:
- Volume 18, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 18
- Issue:
- 2021
- Issue Sort Value:
- 2021-0018-2021-0000
- Page Start:
- 61
- Page End:
- 67
- Publication Date:
- 2021-04
- Subjects:
- Knowledge-based planning -- Cervix cancer
Radiotherapy -- Periodicals
Radiation dosimetry -- Periodicals
Cancer -- Imaging -- Periodicals
Oncology -- Periodicals
615.842 - Journal URLs:
- http://www.sciencedirect.com/ ↗
https://www.journals.elsevier.com/physics-and-imaging-in-radiation-oncology/ ↗ - DOI:
- 10.1016/j.phro.2021.05.004 ↗
- Languages:
- English
- ISSNs:
- 2405-6316
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17249.xml