Evidence map›Paper›PMID 40336979›Full record

ArticlePrecision radiation oncology2024

Investigating the method of selection of background pixel values for the calibration of EBT-XD film dosimetry.

Sathiya Raj, Nithya Shree, Ganesh Kadirampatti

Abstract read
In one paragraph

Article in Precision 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. Editorial: 2Precision radiation oncology · 2025
    Article
  2. Article
  3. 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

3 authors.

Sathiya RajRadiation Physics Kidwai Memorial Institute of Oncology Bangalore India.ORCID https://orcid.org/0000-0003-3902-9428
Nithya ShreeRadiation Physics Kidwai Memorial Institute of Oncology Bangalore India.
Ganesh KadirampattiRadiation Physics Kidwai Memorial Institute of Oncology Bangalore India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study investigates three different calibration methods for the selection of background pixel intensity. Methods: Film-by-Film (FBF) Method: Each film serves as its own control. Batch-by-Film (BBF) Method: A single film is used as a control for all calibration films. Generic (GEN) Method: A generic value (65535) is used as the background pixel value for all calibration films.Three calibration curves were established for the red, green, blue, and RGB channels, and the Radbard NIH (image) curve-fitting model was used to predict the dose. Sensitivity at different dose levels was quantified by calculating the first derivative of each color channel. Results: The GEN method exhibited a difference of up to 6% between the predicted and delivered doses below 2 Gy. The changes in optical density when using the GEN method differed significantly ( Conclusions: The FBF method is more accurate than the BBF and GEN methods because it accounts for inter-film variations. The Radbard NIH (image) curve-fitting function proved suitable for predicting the dose for all the three calibration methods.

Indexed as

Calibration curveEBT‐XD filmFilm dosimetry

Identifiers

PMID40336979
PMCPMC11935016

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.