Evidence map›Paper›PMID 41323215›Full record

ArticlePhysics and imaging in radiation oncology2025

Comparison of cone beam computed tomography post-processing methods for online adaptive proton therapy of prostate cancer.

Mislav Bobić, Daniel H Bushe, Hoyeon Lee, Brian A Winey, Jason A Efstathiou, Harald Paganetti, Jennifer Pursley, Nils Peters, Lena Nenoff

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Mislav BobićDepartment of Physics, ETH Zurich, Switzerland.
Daniel H BusheDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Hoyeon LeeDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Brian A WineyDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jason A EfstathiouDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jennifer PursleyDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Nils PetersDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Lena NenoffDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Although cone beam computed tomography (CBCT) enables online adaptive radiotherapy, its CT number accuracy may be insufficient for online adaptive proton therapy (OAPT). We compared proton dose distributions calculated directly on CBCT with calculations using additional CBCT image-processing methods in prostate cancer. Materials and methods: Retrospective proton plans were created for 10 prostate patients originally treated with 5-fraction online adaptive photon radiotherapy using CBCT. These plans were forward-calculated on each CBCT with four different approaches: (1) the clinical CBCT with a dedicated CT number calibration, (2) CBCT with histogram correction, (3) CT deformed to the CBCT, and (4) deformed CT with an air-cavity correction. Additionally, adaptive treatment using an OAPT workflow was simulated for each fraction and compared among the four CBCT-based methods. Dose-volume histograms (DVH) and related parameters were compared between the four methods for both non-adaptive and online adaptive treatment simulations. Results: Proton dose distributions were comparable across all CBCT-based strategies, with median differences of up to 1% for all DVH metrics compared to a reference method. Larger differences were observed for doses calculated directly on the CBCT for patient geometries deviating from the CBCT-specific calibration. Despite these differences, all four methods indicated the dosimetric benefits of OAPT over non-adaptive treatment. Conclusion: An advanced CBCT system enables proton dose calculations performed directly on the CBCT, demonstrating sufficient accuracy for integration into an OAPT workflow. Additional CBCT-based post-processing techniques are recommended to maximize the dosimetric benefit of plan adaptation in all patient populations.

Indexed as

Adaptive proton therapyCBCTProstate cancerProton dose calculationProton therapy

Identifiers

PMID41323215
PMCPMC12663649

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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.