Evidence map›Paper›PMID 42088101›Full record

ArticleInternational journal of particle therapy2026

Phenomenological Study of Intra-Spill Break Spots in Dose-Driven Continuous Scanning Proton Therapy.

Clifford Ghee Ann Chua, Wilson Han Yi Lim, Kang Hao Lee, Kah Seng Lew, Masashi Yagi, Wei Yang Calvin Koh, Andrew Wibawa, Zubin Master, Wen Siang Lew, James Cheow Lei Lee and 2 more

Abstract read
In one paragraph

Article in International journal of particle therapy, 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

12 authors.

Clifford Ghee Ann ChuaDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Wilson Han Yi LimDivision of Physics and Applied Physics, School of Physical and Mathematical Science, Nanyang Technological University, Singapore.
Kang Hao LeeDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Kah Seng LewDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Masashi YagiDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Wei Yang Calvin KohDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Andrew WibawaDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Zubin MasterDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Wen Siang LewDivision of Physics and Applied Physics, School of Physical and Mathematical Science, Nanyang Technological University, Singapore.
James Cheow Lei LeeDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Sung Yong ParkDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.
Hong Qi TanDivision of Radiation Oncology, National Cancer Centre Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Dose Driven Continuous Scanning proton therapy offers reduced beam delivery time compared to discrete spot scanning but requires accurate characterization of temporal beam parameters for precise dose calculation. This study quantified rise time ( Methods: Beam current measurements were performed using a CROSSmini 2D detector array at 50 μs temporal resolution across 3 proton energies (70.2, 150.2, and 228.7 MeV) and 3 nominal beam currents (8, 14, and 20 MU/s) with break points implemented at every spot. Piecewise function fitting was applied to extract Results: Conclusion: We have characterized

Indexed as

Dose-driven continuous scanningProton therapyTemporal characterization

Identifiers

PMID42088101
PMCPMC13138202

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.