Evidence map›Paper›PMID 41301012›Full record

ArticleCancers2025

Multi-Institutional Verification of a Novel Predictor (Volume-Scaled SUVmax) for Successful Biology-Guided Radiotherapy Delivery of Small Targets.

M Ramish Ashraf, Daniel Pham, Girish Bal, Huixiao Chen, Henry S Park, Tyler Watkins, Bin Cai, Shahed N Badiyan, Lucas K Vitzthum, Billy W Loo and 1 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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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

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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

11 authors.

M Ramish AshrafDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-4738-7359
Daniel PhamDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Girish BalRefleXion Medical, Hayward, CA 94545, USA.
Huixiao ChenDepartment of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06520, USA.
Henry S ParkDepartment of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06520, USA.ORCID 0000-0002-9366-8514
Tyler WatkinsDepartment of Radiation Oncology, City of Hope Medical Center, Duarte, CA 91010, USA.
Bin CaiDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Shahed N BadiyanDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Lucas K VitzthumDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Billy W LooDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-2521-0544
Murat SurucuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-1693-6850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe aim of this study was to establish the relationship between target size and the required diagnostic PET maximum standard uptake value (SUVmax) thresholds needed for successful Biology-guided Radiotherapy (BgRT) delivery on RefleXion X1 PET-linac. The current clinical eligibility recommendation is an SUVmax ≥ 6 at simulation, but the RefleXion system subsequently evaluates Activity Concentration (AC), which must exceed 5 kBq/mL for successful BgRT planning.

methodsA custom 3D-printed phantom containing six spherical targets (8 to 20 mm diameter) was used with varying target-to-background ratios (5:1 to 20:1) of 18F-FDG to systematically achieve a range of SUVmax values for each target size. Images were acquired on Siemens Biograph mCT for SUVmax quantification and RefleXion X1 for AC measurements. Twenty-four BgRT plans were evaluated, and delivery accuracy was validated using ArcCHECK. Additionally, retrospective data from 18 patients across four institutions were analyzed to validate the phantom-derived findings.

resultsThe PET-linac successfully planned treatments for 13/24 experiments, all achieving an AC > 5 kBq/mL. SUVmax requirements varied by target size: 16-20 mm targets required an SUVmax > 6, consistent with current recommendations, while smaller targets required higher thresholds (e.g., 13 mm: SUVmax > 10, and 11 mm: SUVmax > 15). 8 and 9 mm targets failed to meet AC requirements even at SUVmax 14. Successful deliveries maintained acceptable accuracy, with gamma passing rates of 92.4% ± 5.0% (3%/2 mm) and 97.6% ± 1.9% (3%/3 mm). Analysis revealed that Volume (cc) × SUVmax > 11 consistently predicted successful BgRT planning across all target sizes. This threshold was validated using multi-institutional PET-CT patient data (mean: 11.36, 95% CI: 9.1-12.9), correctly predicting treatment eligibility in 15 of 18 cases.

conclusionsTarget size significantly influences BgRT eligibility. We derived a new criterion, Volume(cc) × SUVmax > 11 (95% CI: 9.1-12).

Indexed as

3D printingbiology-guided radiotherapyPETstandard uptake value

Identifiers

PMID41301012
PMCPMC12651831

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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.