Evidence map›Paper›PMID 36699195›Full record

ArticleClinical and translational radiation oncology2023

Empirical planning target volume modeling for high precision MRI guided intracranial radiotherapy.

James Stewart, Arjun Sahgal, Mahtab M Zadeh, Bahareh Moazen, Pejman Jabehdar Maralani, Stephen Breen, Angus Lau, Shawn Binda, Brian Keller, Zain Husain and 5 more

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
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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

15 authors.

James StewartDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Arjun SahgalDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Mahtab M ZadehPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Bahareh MoazenPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Pejman Jabehdar MaralaniDepartment of Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Canada.
Stephen BreenDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Angus LauPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Shawn BindaDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Brian KellerDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.
Zain HusainDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Sten MyrehaugDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Jay DetskyDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Hany SolimanDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Chia-Lin TsengDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Canada.
Mark RuschinDepartment of Radiation Oncology, University of Toronto, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Magnetic resonance image-guided radiotherapy for intracranial indications is a promising advance; however, uncertainties remain for both target localization after translation-only MR setup and intrafraction motion. This investigation quantified these uncertainties and developed a population-based planning target volume (PTV) model to explore target and organ-at-risk (OAR) volumetric coverage tradeoffs. Methods: Sixty-six patients, 49 with a primary brain tumor and 17 with a post-surgical resection cavity, treated on a 1.5T-based MR-linac across 1329 fractions were included. At each fraction, patients were setup by translation-only fusion of the online T1 MRI to the planning image. Each fusion was independently repeated offline accounting for rotations. The six degree-of-freedom difference between fusions was applied to transform the planning CTV at each fraction (CTV Results: For the left-right/anterior-posterior/superior-inferior axes, mean ± SD of the rotational fusion differences were 0.1 ± 0.8/0.1 ± 0.8/-0.2 ± 0.9°. Covering 98 % of the CTV Conclusions: An evidence-based PTV model was developed for brain cancer patients treated on the MR-linac. Informed by this model, we have clinically adopted a 3 mm PTV margin for conventionally fractionated intracranial patients.

Indexed as

Intracranial RadiotherapyMRI guided RadiotherapyPTV MarginSetup errors

Identifiers

PMID36699195
PMCPMC9869418

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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.