Evidence map›Paper›PMID 40919254›Full record

ArticleReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology2025

Evaluation of the liver load index as a predictor of liver exposure in right breast radiotherapy.

Urszula Sobocka-Kurdyk, Maria Radomiak, Bartosz Pawałowski, Marta Paluszyńska, Patrycja Borowska, Dariusz W Kowalczyk, Anna Rychter, Agnieszka Skrobała

Abstract read
In one paragraph

Article in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

8 authors.

Urszula Sobocka-KurdykDepartment of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.
Maria RadomiakDepartment of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.
Bartosz PawałowskiDepartment of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.
Marta PaluszyńskaDepartment of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.
Patrycja BorowskaDepartment of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.
Dariusz W KowalczykRadiotherapy Unit III, Kalisz Branch of the Greater Poland Cancer Centre, Kalisz, Poland.
Anna RychterColon Cancer Unit, Regional Oncology Center, Lodz, Poland.
Agnieszka SkrobałaDepartment of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To compare doses deposited to the liver during right breast radiotherapy with static and dynamic radiotherapy techniques. The second aim was to introduce the liver load index (LLI), a novel index developed to estimate radiation exposure to the liver prior to treatment selection. Materials and methods: We prepared radiotherapy treatment plans for ten patients with right breast cancer. Plans were created for conventional 3D conformal radiation therapy (3D-CRT), intensity-modulated radiation therapy (IMRT) with and without dose optimisation to liver, and hybrid 3D-CRT/volumetric modulated arc therapy (VMAT). Dosimetric evaluation was based on dose-volume histogram (DVH) parameters. The Wilcoxon test was used to assess differences between treatment plans. Spearman's rank correlation was used to determine the correlation between the LLI and the radiation dose to the liver. Result: IMRT plans resulted in significantly higher D Conclusion: The LLI provides an accurate estimation of liver exposure to radiation during right breast radiotherapy. This index, which is calculated prior to treatment planning, is highly accurate, as evidenced by the strong correlation between the LLI and the mean liver dose.

Indexed as

liver irradiationliver load indexradiation exposure indexright-sided breast cancer

Identifiers

PMID40919254
PMCPMC12413217

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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.