Evidence map›Paper›PMID 41200650›Full record

ArticleCureus2025

Investigating the Dosimetric Impact of Acuros XB in Lung Cases Before Clinical Implementation.

Marina Chalkia, George Patatoukas, Maria Tsimpoukelli, Nikolaos Kollaros, Maria-Eleni Zachou, Efrosyni Kypraiou, Vassilis Kouloulias, Kalliopi Platoni

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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.

Marina ChalkiaDepartment of Applied Medical Physics, Attikon University Hospital, Athens, GRC.
George PatatoukasDepartment of Applied Medical Physics, Attikon University Hospital, Athens, GRC.
Maria TsimpoukelliDepartment of Applied Medical Physics, Attikon University Hospital, Athens, GRC.
Nikolaos KollarosDepartment of Applied Medical Physics, Attikon University Hospital, Athens, GRC.
Maria-Eleni ZachouDepartment of Applied Medical Physics, Attikon University Hospital, Athens, GRC.
Efrosyni KypraiouDepartment of Clinical Radiation Oncology, Attikon University Hospital, Athens, GRC.
Vassilis KoulouliasDepartment of Clinical Radiation Oncology, National and Kapodistrian University of Athens, Medical School, Attikon University Hospital, Athens, GRC.
Kalliopi PlatoniDepartment of Applied Medical Physics, National and Kapodistrian University of Athens, Medical School, Attikon University Hospital, Athens, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background This study aims to present a simple and reliable way to study the dosimetric impact of the Acuros XB (AXB) algorithm compared to the Anisotropic Analytical Algorithm (AAA). Volumetric modulated arc therapy (VMAT) plans for lung cancer treatments were studied when changing the planning target volume (PTV) margins, positions, and interface distances. Methodology Three PTV positions were studied: near an air/tissue interface (PTVint), at the upper lobe surrounded by air (PTVair), and at the mediastinum (PTVtis). For the PTV near the interface, four VMAT plans were created, expanding the PTV margin and reducing the air/tissue interface distance at the same time. The margins were set to 0.5 cm, 0.7 cm, 1 cm, and 1.5 cm from the gross target volume (GTV). Differences in dose distributions between AXB and AAA occurred in all PTVs, with the maximum differences seen in PTVs including more air volume. Results For PTVtis, the two algorithms presented similar behavior. Specifically, for PTV mean dose (D

Indexed as

aaaacuros xbdosimetric comparisonlung cancervmat

Identifiers

PMID41200650
PMCPMC12587095

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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.