Evidence map›Paper›PMID 37969397›Full record

ArticleTranslational cancer research2023

A ternary model of proton therapy based on boron medium radiosensitization and enhancement paths: a Monte Carlo simulation.

Xiaowa Wang, Liqun Shi, Xufei Wang, Lan Wang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Polyacrylic Acid-Coated LaBPharmaceutics · 2025
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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

4 authors at 2 institutions in 1 country.

Xiaowa WangInstitute of Modern Physics, Fudan University, Shanghai, China.
Liqun ShiInstitute of Modern Physics, Fudan University, Shanghai, China.
Xufei WangInstitute of Modern Physics, Fudan University, Shanghai, China.
Lan WangShanghai Proton and Heavy Ion Center, Shanghai, China.
Fudan University · CNCenter for High Pressure Science & Technology Advanced Research · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To overcome proton therapy limitations [low linear energy transfer (LET) radiation with a relative biological effectiveness (RBE) typically ranging from 1.1 to 1.2], radiosensitization techniques can be employed to increase the radiosensitivity of tumor cells and improve the effectiveness of radiation therapy. In this study, we suggest using a boron-based medium to overcome the biological limitations of proton therapy. By inducing the hydrogen-boron fusion reaction (p + Methods: Using Monte Carlo simulation, the possibility of interacting low-energy proton beams with Results: Under the basic principle of the "ternary" radiotherapy model, comparative analyses of neutrons and α particles produced by proton beams of different energies incident on the phantoms, which were composed of boron isotopes of different concentrations in proportion to the phantoms, have shown that the α particle yield decreased with decreasing boron doping concentration, whereas the neutron yield increased with decreasing boron doping concentration. The distribution of thermal neutrons and α particles in the longitudinal direction of the proton beam were also studied, and it was found that the number of α particles produced was high at high boron concentrations, and the locations of α and thermal neutrons were close to the treatment target. Conclusions: The proton therapy ternary model is theoretically feasible from the perspective of mathematical analysis and Monte Carlo simulation experiments.

Indexed as

BoronMonte Carlo simulationproton therapyradiosensitizationternary model

Identifiers

PMID37969397
PMCPMC10643938
OpenAlexW4388195310

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.