Developing knowledge-based planning for gynaecological and rectal cancers: a clinical validation of RapidPlan
decision making
gynaecological neoplasms
knowledge-based planning
radiation oncology
rectal neoplasms
service accessibility
Journal
Journal of medical radiation sciences
ISSN: 2051-3909
Titre abrégé: J Med Radiat Sci
Pays: United States
ID NLM: 101620352
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
13
09
2019
revised:
02
03
2020
accepted:
04
03
2020
pubmed:
26
5
2020
medline:
16
6
2021
entrez:
26
5
2020
Statut:
ppublish
Résumé
To create and clinically validate knowledge-based planning (KBP) models for gynaecologic (GYN) and rectal cancer patients. Assessment of ecologic generalisability and predictive validity of conventional planning versus single calculation KBP was reviewed against practical metrics of planning time (PT) and radiation oncologist plan preference. Study cohorts were 34 and 42 consecutively treated GYN and rectal cancer patients dosimetrically archived within the centre's research databank. For model training, structures and dose distributions from 22 and 32 GYN and rectal volumetric-modulated arc therapy (VMAT) plans were used in RapidPlan™. Prescription doses ranged from 45 to 60Gy in 25 fractions using a simultaneous integrated boost to 2-4 targets and up to 9 organ-at-risk volumes. For model validation, 12 GYN and 10 rectal were independent of the archive and a single pass KBP VMAT plan was created. Each plan was evaluated against the archived treated plan under blinded conditions for radiation oncologist preference using standard dosimetric quality parameters. All 22 plans generated in the KBP validation cohort met pre-set GYN and rectal cancer dosimetric quality metrics. Fifty per cent of GYN plans and eighty per cent of rectal plans were judged superior to the manually optimised plans. KBP reduced PT considerably for both tumour sites. Single pass KBP for GYN and rectal cancer patients produced clinically acceptable treatment plans which were non-inferior to conventionally optimised plans in 14 of 22 cases. Efficiencies captured by KBP will have predictable impacts on institutional workflows and resource allocation to facilitate adaptive planning.
Identifiants
pubmed: 32450610
doi: 10.1002/jmrs.396
pmc: PMC7476182
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
217-224Informations de copyright
© 2020 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.
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