Evidence map›Paper›PMID 42875902›Full record

ArticleJournal of applied clinical medical physics2026

Evaluation of online dose-guided adaptive fractionation for intact prostate radiotherapy.

Gevork S Gevorkyan, Libing Zhu, Riley C Tegtmeier, Diego Santos Toesca, Weiguo Lu, Mingli Chen, Yi Rong, Quan Chen

Abstract readEvaluation Study
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gevork S GevorkyanDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
Libing ZhuDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
Riley C TegtmeierDepartment of Radiation Oncology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA.ORCID https://orcid.org/0009-0000-3739-3272
Diego Santos ToescaDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
Weiguo LuMedical Artificial Intelligence and Automation Laboratory, UT Southwestern Medical Center, Dallas, Texas, USA.
Mingli ChenMedical Artificial Intelligence and Automation Laboratory, UT Southwestern Medical Center, Dallas, Texas, USA.
Yi RongDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.ORCID https://orcid.org/0000-0002-2620-1893
Quan ChenDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.

Funding

Mayo Clinic Marley Endowment Fund FP00124398Mayo Clinic Marley Endowment Fund FP00124726
6 · The paper itself

Abstract

backgroundDose-guided adaptive fractionation (DGAF) was proposed as a simpler alternative of adaptive radiation therapy, using organ variation simulation for proof of concept. However, its dosimetric benefit using actual daily anatomy changes in prostate cancer patients remains unclear. PURPOSE: The purpose of this study was to retrospectively evaluate the dosimetric benefit and potential risk of DGAF for prostate cancer patients treated with moderately hypofractionated radiotherapy and stereotactic body radiotherapy using daily cone-beam CT.

methodsPatients assessed in this study were treated with moderately hypofractionated radiotherapy (MHRT, n = 11, 244 total fractions) and stereotactic body radiotherapy (SBRT, n = 11, 55 total fractions). The optimizer algorithm computed the desired fractional dose based on favorable or unfavorable anatomical conditions derived from daily imaging, quantified by the sparing factor threshold (μ) and spread (σ). Three methods of estimating subsequent fractionation schemes were explored. The assessment relative to patient-specific probabilities observed post-treatment includes the cohort-based probability (CBP) approach, the individual-based probability (IBP) approach, and the hybrid approach that begins as CBP and transitions to the IBP after a certain number of fractions. The benefits/risks of DGAF were assessed by calculating the equivalent dose in 2 Gy fractions (EQD2) for both the CTV and the rectum in comparison to regular fractionation.

resultsDGAF demonstrated potential dosimetric benefits for intact prostate patients. The average and standard deviation of the sparing factor was 0.51 ± 0.11 for MHRT patients and 0.42 ± 0.04 for SBRT patients treated with endorectal-balloon. The hybrid approach for estimating the patients' threshold μ and spread σ outperformed other approaches assessed for both cohorts. The highest dosimetric benefit was retrospectively seen in MHRT patients where a hybrid approach were used, showing equal or decreased D15% EQD2.

conclusionDGAF demonstrated considerable rectum sparing potential, and the benefits increased with longer fractionation and advanced approaches toward subsequent fraction estimation.

Indexed as

AlgorithmsOrgans at RiskProstatic NeoplasmsRadiosurgeryRadiotherapy Planning, Computer-AssistedAgedCone-Beam Computed TomographyDose Fractionation, RadiationHumansMalePrognosisRadiation Dose HypofractionationRadiotherapy DosageRadiotherapy, Intensity-ModulatedRetrospective Studiesadaptivefraction sizeProstate

Identifiers

PMID42875902
PMCPMC13669425

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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.