Clinical acceptability of fully automated external beam radiotherapy for cervical cancer with three different beam delivery techniques.
auto-contouring
auto-planning
cervical cancer
field-in-field
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
revised:
16
06
2022
received:
05
11
2021
accepted:
12
07
2022
pubmed:
23
7
2022
medline:
15
9
2022
entrez:
22
7
2022
Statut:
ppublish
Résumé
To fully automate CT-based cervical cancer radiotherapy by automating contouring and planning for three different treatment techniques. We automated three different radiotherapy planning techniques for locally advanced cervical cancer: 2D 4-field-box (4-field-box), 3D conformal radiotherapy (3D-CRT), and volumetric modulated arc therapy (VMAT). These auto-planning algorithms were combined with a previously developed auto-contouring system. To improve the quality of the 4-field-box and 3D-CRT plans, we used an in-house, field-in-field (FIF) automation program. Thirty-five plans were generated for each technique on CT scans from multiple institutions and evaluated by five experienced radiation oncologists from three different countries. Every plan was reviewed by two of the five radiation oncologists and scored using a 5-point Likert scale. Overall, 87%, 99%, and 94% of the automatically generated plans were found to be clinically acceptable without modification for the 4-field-box, 3D-CRT, and VMAT plans, respectively. Some customizations of the FIF configuration were necessary on the basis of radiation oncologist preference. Additionally, in some cases, it was necessary to renormalize the plan after it was generated to satisfy radiation oncologist preference. Approximately, 90% of the automatically generated plans were clinically acceptable for all three planning techniques. This fully automated planning system has been implemented into the radiation planning assistant for further testing in resource-constrained radiotherapy departments in low- and middle-income countries.
Identifiants
pubmed: 35866442
doi: 10.1002/mp.15868
pmc: PMC9474595
mid: NIHMS1825032
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5742-5751Subventions
Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States
Organisme : NCI NIH HHS
ID : UH2 CA202665
Pays : United States
Organisme : NCI NIH HHS
ID : UH3 CA202665
Pays : United States
Organisme : National Institutes of Health/National Cancer Institute
ID : UH3-CA202665
Organisme : National Institutes of Health/National Cancer Institute
ID : P30-CA016672
Organisme : National Institutes of Health/National Cancer Institute
ID : UH2-CA202665
Informations de copyright
© 2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.
Références
J Appl Clin Med Phys. 2017 Jan;18(1):25-31
pubmed: 28291936
Med Phys. 2020 Nov;47(11):5592-5608
pubmed: 33459402
Radiother Oncol. 2006 Jan;78(1):67-77
pubmed: 16403584
J Vis Exp. 2018 Apr 11;(134):
pubmed: 29708544
J Appl Clin Med Phys. 2022 Jun;23(6):e13614
pubmed: 35488508
Med Dosim. 2016 Spring;41(1):9-14
pubmed: 26212351
Pract Radiat Oncol. 2022 Jul-Aug;12(4):e344-e353
pubmed: 35305941
Med Phys. 2022 Sep;49(9):5742-5751
pubmed: 35866442
J Appl Clin Med Phys. 2022 Sep;23(9):e13712
pubmed: 35808871
Clin Transl Radiat Oncol. 2018 Jan 11;9:48-60
pubmed: 29594251
Med Phys. 2020 Nov;47(11):5648-5658
pubmed: 32964477
J Glob Oncol. 2019 Jan;5:1-9
pubmed: 30629457
Int J Radiat Oncol Biol Phys. 2017 Jan 1;97(1):164-172
pubmed: 27979445
PLoS One. 2016 Dec 29;11(12):e0169202
pubmed: 28033342
Pract Radiat Oncol. 2020 Sep - Oct;10(5):e415-e424
pubmed: 32450365
J Appl Clin Med Phys. 2022 Aug;23(8):e13647
pubmed: 35580067
Med Dosim. 2020 Summer;45(2):172-178
pubmed: 31740042