Evidence map›Paper›PMID 39707687›Full record

ArticleJournal of applied clinical medical physics2025

Automated daily dose accumulation workflow for treatment quality assurance during online adaptive radiotherapy with a 0.35T MR-linac.

Mojtaba Behzadipour, Tianjun Ma, Rabten K Datsang, Brandon Lee, Dane Pittock, Elisabeth Weiss, William Y Song

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Mojtaba BehzadipourDepartment of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0002-3855-5373
Tianjun MaDepartment of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.
Rabten K DatsangDepartment of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0000-0002-6571-2258
Brandon LeeClinical Science, MIM Software Inc., Cleveland, Ohio, USA.
Dane PittockClinical Science, MIM Software Inc., Cleveland, Ohio, USA.
Elisabeth WeissDepartment of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.
William Y SongDepartment of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID https://orcid.org/0009-0003-3196-2368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study assesses a novel, automated dose accumulation process during MR-guided online adaptive radiotherapy (MRgART) for prostate cancer, focusing on inter-fractional anatomical changes and discrepancies between delivered and planned doses.

methodsA retrospective analysis was conducted on seven prostate cancer patients treated with a five-fraction stereotactic body radiation therapy (SBRT), using a 0.35T MRIdian MR-LINAC system. Daily plans were adapted when dose thresholds were exceeded. Planning MRI (pMRI) and daily MRIs (dMRIs) were imported into MIM software for automated and manual dose accumulation procedures. Rigid and deformable image registrations were followed by dose accumulation to compare delivered and planned doses. Manual and automated image registrations were compared by calculating the Hausdorff distance (HD), Jaccard, and DICE metrics.

resultsModerate discrepancies in dosimetric parameters for the planning target volume (PTV) were observed between auto-accumulated and planned doses, such as

conclusionThe automated workflow, developed in collaboration with MIM Software Inc., demonstrates high accuracy compared to manual accumulation. The moderate differences observed between planned and accumulated doses emphasize the need for accurate dose accumulation for adaptive plans.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingParticle AcceleratorsProstatic NeoplasmsQuality Assurance, Health CareRadiosurgeryRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedHumansMaleOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedRetrospective StudiesWorkflow0.35T MR‐Linacautomated adaptive dose accumulationdeformable image registrationinter‐fractional anatomical changesMR‐guided adaptive radiotherapy

Identifiers

PMID39707687
PMCPMC11905248

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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.