Evidence map›Paper›PMID 39759550›Full record

ReviewReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology2024

Monte Carlo methods to assess biological response to radiation in peripheral organs and in critical organs near the target.

Natalia Matuszak, Igor Piotrowski, Marta Kruszyna-Mochalska, Agnieszka Skrobala, Mirosława Mocydlarz-Adamcewicz, Julian Malicki

Abstract readReview
In one paragraph

Review in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 2024. 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
–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

3 citing papers in PubMed.

  1. Biomedicines · 2026
    Article
  2. lncRNA EGOT across cancers: TCGA analysis.Archives of medical science : AMS · 2026
    Article
  3. lncRNABiomedicines · 2025
    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

6 authors.

Natalia MatuszakDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
Igor PiotrowskiDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
Marta Kruszyna-MochalskaDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
Agnieszka SkrobalaDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
Mirosława Mocydlarz-AdamcewiczDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.
Julian MalickiDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The biological effects and clinical consequences of out-of-field radiation in peripheral organs can be difficult to determine, especially for low doses (0.1 Gy-1 Gy). In recent years, Monte Carlo (MC) methods have been proposed to more accurately predict nontarget doses. The aim of the present study was to assess the feasibility of using Monte Carlo methods to predict the biological response of tissues and critical organs to low dose radiation (0.1 to 1 Gy) based on results published in the literature. Materials and methods: Literature review, including studies published by our group. Results and Conclusions: It has long been assumed that radiation doses to peripheral organs located far from the target volume are too low to have any clinical impact. In recent years, however, concerns about the risk of treatment-induced secondary cancers, even in peripheral organs, have continued to grow in line with increasing life expectancy. At present, it is difficult in routine calculations to accurately determine radiation doses to the whole body and peripheral organs. Moreover, the potential clinical impact of these doses remains uncertain and the biological response to low dose radiation depends on the organ. In this context, MC methods can predict biological response in those organs. Monte Carlo methods have become a powerful tool to better predict the consequences of interactions between ionising radiation and biological matter. MC modelling can also help to characterise microscopic system dynamics and to provide a better understanding of processes occurring at the cellular, molecular, and nanoscales.

Indexed as

biological responsedose calculationMonte Carlo methodsout-of-field doses

Identifiers

PMID39759550
PMCPMC11698553

What OpenQuestion holds

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Registered trials

None linked

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.