Evidence map›Paper›PMID 37365087›Full record

ArticleZeitschrift fur medizinische Physik2025

Impact of log file source and data frequency on accuracy of log file-based patient specific quality assurance.

Akbar Azzi, Gerd Heilemann, Dietmar Georg, Supriyanto Ardjo Pawiro, Terry Mart, Wolfgang Lechner

Open access · goldAbstract read
In one paragraph

Article in Zeitschrift fur medizinische Physik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 2 countries.

Akbar AzziDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, 16424 Depok, Indonesia.
Gerd HeilemannDepartment of Radiation Oncology, Division of Medical Physics, Medical University of Vienna, 1090 Vienna, Austria.
Dietmar GeorgDepartment of Radiation Oncology, Division of Medical Physics, Medical University of Vienna, 1090 Vienna, Austria.
Supriyanto Ardjo PawiroDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, 16424 Depok, Indonesia. Electronic address: supriyanto.p@sci.ui.ac.id.
Terry MartDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, 16424 Depok, Indonesia.
Wolfgang LechnerDepartment of Radiation Oncology, Division of Medical Physics, Medical University of Vienna, 1090 Vienna, Austria.
Medical University of Vienna · ATUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performing phantom measurements for patient-specific quality assurance (PSQA) adds a significant amount of time to the adaptive radiotherapy procedure. Log file based PSQA can be used to increase the efficiency of this process. This study compared the dosimetric accuracy of high-frequency linear accelerator (Linac) log files and low-frequency log data stored in the oncology information system (OIS). Thirty patients were included, that were recently treated in the head and neck (HN), brain, and prostate region with volumetric modulated arc therapy (VMAT) and an additional ten patients treated using stereotactic body radiation therapy (SBRT) with 3D-conformal radiotherapy (3D-CRT) technique. Log data containing a single fraction were used to calculate the dose distributions. The dosimetric differences between Linac log files and OIS logs were evaluated with a gamma analysis with 2%/2 mm criterion and dose threshold of 30%. The original treatment plan was used as a reference. Moreover, DVH parameters of D

Indexed as

Quality Assurance, Health CareRadiotherapy, Intensity-ModulatedHumansMaleParticle AcceleratorsPhantoms, ImagingProstatic NeoplasmsRadiometryRadiosurgeryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedLog fileOncology information systemPatient specific quality assurance

Identifiers

PMID37365087
PMCPMC12166938
OpenAlexW4381987733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.