Evidence map›Paper›PMID 42358275›Full record

ArticlePrecision radiation oncology2026

Automated quality assurance of HDR brachytherapy: Evaluation of Dwell-position accuracy and Dwell-time linearity via image processing of radiochromic films.

Qingqing Yuan, Suyan Bi, En Lou, YaJun Jia, Zhitao Dai

Abstract read
In one paragraph

Article in Precision radiation oncology, 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qingqing YuanNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen China.
Suyan BiSchool of Medical Sciences Universiti Sains Malaysia Kubang Kerian Kelantan Malaysia.ORCID https://orcid.org/0000-0001-7992-4078
En LouDepartment of Physics and Key Laboratory of Artificial Micro & Nano-structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan China.
YaJun JiaNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen China.
Zhitao DaiNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop and validate a fully automated quality assurance method for high-dose rate (HDR) brachytherapy, enabling the precise evaluation of source dwell-position accuracy and dwell-time linearity using radiochromic film analysis and advanced image processing algorithms. Methods: A novel analytical framework was established to verify HDR source positional precision and dwell-time linearity. Radiochromic films were irradiated under predefined treatment plans. Image preprocessing involved grayscale conversion, median filtering, rotation correction, and absolute coordinate calibration. The centroid of each dwell position was determined using two-dimensional Gaussian fitting. Temporal linearity analysis employed radial grayscale summation within the radii of 250-400 pixels. Linearity was quantified using the coefficient of determination (R Results: Automated Gaussian fitting achieved sub-millimeter positional accuracy (maximum error ≤ 0.6 mm), eliminating manual intervention. Rotation correction algorithms effectively mitigated positional errors caused by film misalignment. Comparative analysis with commercial software yielded nearly identical results, validating the reliability of the method. Dwell-time analysis demonstrated excellent linearity ( Conclusions: This study presents a robust and fully automated quality assurance (QA) solution for HDR brachytherapy that simultaneously verifies sub-millimeter-level dwell-position accuracy and temporal linearity. The integration of radiochromic film dosimetry with algorithmic image processing eliminates manual intervention and standardizes QA workflows, representing a substantial advancement in treatment safety and efficiency.

Indexed as

Dwell‐position accuracyDwell‐time linearityHigh‐dose‐rate brachytherapyImage processingRadiochromic film

Identifiers

PMID42358275
PMCPMC13292168

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