Evidence map›Paper›PMID 42536588›Full record

ArticleMedicine2026

Gastric dose-volume parameters and toxicity in left-sided breast radiotherapy: A single-center retrospective comparison of helical tomotherapy and 3-dimensional field-in-field techniques.

Nilsu Çini, Hüseyin Tepetam, Afife Kübra Özcan, Duygu Gedik, Şule Karabulut Gül

Abstract readComparative Study
In one paragraph

Article in Medicine, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Nilsu ÇiniDepartment of Radiation Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Kartal, İstanbul, Turkiye.ORCID 0000-0001-6370-6535
Afife Kübra ÖzcanORCID 0009-0003-4466-3180
Şule Karabulut GülORCID 0000-0003-4219-8900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During left-sided breast radiotherapy (LSBRT), several organs may be exposed to irradiation and develop treatment-related side effects. Compared with cardiopulmonary toxicity, gastric complications remain relatively under-investigated, although gastrointestinal complications are not uncommon in patients treated with LSBRT. This retrospective single-center study aimed to evaluate the relationship between gastric dose-volume parameters, gastric toxicity, and target volume coverage in patients treated with Helical Tomotherapy (HT) and 3-dimensional field-in-field (3D-FIF) techniques. Sixty-one patients treated with LSBRT were retrospectively analyzed, including 31 treated with HT and 30 with 3D-FIF. Dose-volume histograms were evaluated for target volumes (PTVbreast, PTVsupra, and PTVboost) and the stomach. For target coverage, Dmean, Dmin, Dmax, and D95% parameters were analyzed; for the stomach, Dmean, Dmax, D1cc, D10cc, V5Gy, and V10Gy parameters were analyzed. Reported gastric side effects and radiotherapy fractionation schemes were also evaluated. Toxicities were graded according to the Common Terminology Criteria for Adverse Events (CTCAE v3.0). Comparisons between techniques were performed using appropriate statistical tests (IBM SPSS v27). The primary endpoint was the comparison of gastric dose-volume parameters and gastric toxicity. Patients treated with HT received significantly higher doses for all evaluated stomach dose parameters compared with those treated with 3D-FIF (P < .05). The incidence of gastric toxicity was also significantly higher in the HT group (P = .013). Notably, patients who developed gastric toxicity had significantly smaller stomach volumes (P = .015). Among patients receiving hypofractionated regimens, HT provided significantly higher D95% values for PTV coverage than 3D-FIF (P < .05), while no significant difference was observed in mean target doses. HT provided significantly improved target coverage, whereas 3D-FIF was associated with lower gastric dose and reduced gastric toxicity. Individualized technique selection based on patient-specific anatomical variations may help optimize both dosimetric and clinical outcomes.

Indexed as

Breast NeoplasmsRadiation InjuriesRadiotherapy, Intensity-ModulatedStomachUnilateral Breast NeoplasmsAdultAgedFemaleHumansMiddle AgedOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective Studies3D-FIFgastric side effecthelical tomotherapyleft-sided breast cancerleft-sided breast radiotherapystomach dose

Identifiers

PMID42536588
PMCPMC13433111

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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.