Evidence map›Paper›PMID 42319906›Full record

ArticleThe British journal of radiology2026

Development of in situ dosimetry for FLASH proton radiotherapy via organic scintillating fibers.

Codey Olson, Jacob Strong, Adam Paxton, Geoff Nelson, Edward Cazalas

Abstract read
In one paragraph

Article in The British journal of radiology, 2026. 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
0cells of the map it votes in
0citing 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

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

5 authors.

Codey OlsonDepartment of Civil and Environmental Engineering, University of Utah Nuclear Engineering Program, Salt Lake City, UT 84112, United States.
Jacob StrongDepartment of Civil and Environmental Engineering, University of Utah Nuclear Engineering Program, Salt Lake City, UT 84112, United States.
Adam PaxtonDepartment of Radiation Oncology, Huntsman Cancer Institute, Salt Lake City, UT 84112, United States.
Geoff NelsonDepartment of Radiation Oncology, Huntsman Cancer Institute, Salt Lake City, UT 84112, United States.
Edward CazalasDepartment of Civil and Environmental Engineering, University of Utah Nuclear Engineering Program, Salt Lake City, UT 84112, United States.ORCID 0000-0001-9703-8571

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis work presents the design, development, and initial proof-of-concept testing of a dosimetry device intended for FLASH radiotherapy.

methodsThe system incorporates organic scintillating fibers coupled to a silicon photomultiplier (SiPM) and an FPGA-based readout, with fiber geometry optimized to minimize perturbations to a clinical proton beam, as confirmed through measurements at the Huntsman Cancer Institute (HCI).

resultsTests using a portable X-ray unit demonstrated a strong correlation between integrated charge and delivered dose (up to ∼35 mrem s-1) and showed that the detector can respond on nanosecond timescales, enabling rapid safety interlock triggering with minimal latency.

conclusionPreliminary proton irradiations at HCI further indicated that the device can resolve individual beam pulses, a capability valuable for both FLASH research and conventional radiotherapy. ADVANCES IN KNOWLEDGE: These results highlight the need for continued refinement of the experimental setup, readout electronics, and detector performance to fully realize real-time, in situ dose and pulse monitoring.

Indexed as

Proton TherapyRadiometryScintillation CountingEquipment DesignHumansRadiotherapy DosagedosimetryFLASHGEANT4protonradiotherapy

Identifiers

PMID42319906
PMCPMC13623240

What OpenQuestion holds

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Registered trials

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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.