Evidence map›Paper›PMID 32450610›Full record

ArticleJournal of medical radiation sciences2020

Developing knowledge-based planning for gynaecological and rectal cancers: a clinical validation of RapidPlan

Meegan Shepherd, Regina Bromley, Mark Stevens, Marita Morgia, Andrew Kneebone, George Hruby, John Atyeo, Thomas Eade

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022
    Article
  3. Article
  4. Article
  5. Knowledge-based radiation treatment planning: A data-driven method survey.Journal of applied clinical medical physics · 2021
    Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Meegan ShepherdDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
Regina BromleyDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
Mark StevensDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
Marita MorgiaDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
Andrew KneeboneDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
George HrubyDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
John AtyeoDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.ORCID https://orcid.org/0000-0003-4350-0294
Thomas EadeDepartment of Radiation Oncology, Northern Sydney Cancer Centre, Royal North Shore Hospital, Reserve Road, St Leonards, NSW, Australia.
Royal North Shore Hospital · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo 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.

methodStudy 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.

resultsAll 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.

conclusionSingle 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.

Indexed as

Knowledge BasesDose Fractionation, RadiationFemaleGenital Neoplasms, FemaleHumansRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRectal NeoplasmsReproducibility of ResultsTime Factorsdecision makinggynaecological neoplasmsknowledge-based planningradiation oncologyrectal neoplasmsservice accessibility

Identifiers

PMID32450610
PMCPMC7476182
OpenAlexW3029316783

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.