Evidence map›Paper›PMID 35737156›Full record

ArticleBulletin of experimental biology and medicine2022

Calculation of the Biological Efficiency of the Proton Component from 14.8 MeV Neutron Irradiation in Computational Biology with Help of Video Cards.

K B Gordon, V O Saburov, S N Koryakin, I A Gulidov, T Kh Fatkhudinov, I V Arutyunyan, A D Kaprin, A N Solov'ev

Abstract read
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In one paragraph

Article in Bulletin of experimental biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

K B GordonPeoples' Friendship University of Russia (RUDN University), Moscow, Russia. gordon-kb@rudn.ru.
V O SaburovA. F. Tsyb Medical Radiological Research Center, Affiliated Branch of the National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Obninsk, Russia.
S N KoryakinA. F. Tsyb Medical Radiological Research Center, Affiliated Branch of the National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Obninsk, Russia.
I A GulidovA. F. Tsyb Medical Radiological Research Center, Affiliated Branch of the National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Obninsk, Russia.
T Kh FatkhudinovPeoples' Friendship University of Russia (RUDN University), Moscow, Russia.
I V ArutyunyanA. P. Avtsyn Research Institute of Human Morphology, Moscow, Russia.
A D KaprinPeoples' Friendship University of Russia (RUDN University), Moscow, Russia.
A N Solov'evA. F. Tsyb Medical Radiological Research Center, Affiliated Branch of the National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Obninsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast neutron therapy, which previously has demonstrated effective results, but along with a large number of complications, can again be considered a promising treatment method in the treatment of cancer. One of the ways of analyzing the relative biological efficiency and accurate biological dose of fast neutrons in body tissues is to improve the algorithms of computational biology and mathematical modeling. A high-performance computing code was written which allows to estimate in real-time mode the biological dose of the proton component from the action of neutron radiation with an energy of 14.8 MeV. A comparative analysis of the computing performance on various video cards was also performed.

Indexed as

ProtonsProton TherapyAlgorithmsComputational BiologyNeutronsProtonscomputational biologyfast neutron therapymathematical modelingproton componentradiobiology

Identifiers

PMID35737156

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.