Evidence map›Paper›PMID 42252540›Full record

ArticleJournal of applied clinical medical physics2026

Development of a virtual phantom for HDR cervical cancer brachytherapy: A multi-institutional tool for training, quality assurance, and variability reduction.

Kotaro Iijima, Hiroyuki Okamoto, Takahiro Ushijima, Yoshihiro Ueda, Yoshifumi Oku, Masahiko Toyota, Yasushi Ono, Jun Takatsu, Jun-Ichi Fukunaga, Naoya Murakami and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of applied clinical medical physics, 2026. 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
–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

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

11 authors.

Kotaro IijimaDepartment of Radiation Oncology, Graduate School of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1691-0175
Hiroyuki OkamotoSection of Radiation Safety and Quality Assurance Division, National Cancer Center Hospital, Chuo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9491-787X
Takahiro UshijimaDepartment of Radiology, Mie University Hospital, Tsu, Mie, Japan.
Yoshihiro UedaDepartment of Radiation Oncology, Osaka International Cancer Institute, Chuo-ku, Osaka, Japan.
Yoshifumi OkuDivision of Radiology, Department of Clinical Technology, Kagoshima University Hospital, Kagoshima-City, Kagoshima, Japan.
Masahiko ToyotaDivision of Radiology, Department of Clinical Technology, Kagoshima University Hospital, Kagoshima-City, Kagoshima, Japan.
Yasushi OnoDivision of Radiology, Department of Clinical Technology, Tottori University Hospital, Yonago-City, Tottori, Japan.
Jun TakatsuDepartment of Radiation Oncology, Faculty of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9848-9251
Jun-Ichi FukunagaDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, Higashi- ku, Fukuoka, Japan.
Naoya MurakamiDepartment of Radiation Oncology, Graduate School of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.
Tatsuya OhnoDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.

Funding

Japan mHDR Research FundJSPS KAKENHI JP23K07171JSPS KAKENHI JP26K03322the National Cancer Center Research and Development Fund 2025-A-12
6 · The paper itself

Abstract

backgroundHigh-dose-rate brachytherapy (HDR-BT) is a critical modality in the treatment of cervical cancer, requiring accurate and efficient treatment planning. Unlike external beam radiation therapy, HDR-BT demands specialized skills and training. However, accessible and standardized educational tools-particularly virtual phantoms-remain limited. PURPOSE: This study aimed to develop a virtual phantom tailored for HDR-BT treatment planning in cervical cancer management. The objective was to support planner training, reduce interobserver error, and provide a scalable platform for quality assurance and educational use.

methodsFour virtual phantoms (VP1-VP4) were generated using computed tomography images of physical models equipped with different applicators (Fletcher, Geneva, VCMC, and Venezia). Dose constraints were initially established through a single-institutional planning study (SIPS) and validated via a multi-institutional planning study involving seven institutions. Dose-volume parameters (DVPs) were analyzed to assess compliance with the constraints and to quantify inter-planner error (IPE) and inter-institutional error (IIE). The coefficient of variation (CV) and F-tests were employed to evaluate variability.

resultsInitial compliance with SIPS-defined dose constraints ranged from 35.4% to 70.8%. As compliance was low across all phantoms, we adjusted the spatial relationships between the target volume and organs at risk. The compliance then improved to 83.3%-100.0%. IIE was greater than IPE, with several DVPs exhibiting CVs above 20%. The hyper-dose sleeve (V200%) demonstrated the highest variability, with CVs exceeding 40% in some cases. These findings emphasize the importance of standardized training tools for reducing interobserver variability.

conclusionsThe developed virtual phantoms offer practical and accessible tools for HDR-BT treatment planning education. Its digital format enables broad dissemination and adaptability across institutions, supporting both training and clinical use. Ongoing refinement will be necessary to ensure continued relevance in evolving clinical environments and contribution to consistent, high-quality care in gynecologic brachytherapy.

Indexed as

BrachytherapyPhantoms, ImagingQuality Assurance, Health CareRadiotherapy Planning, Computer-AssistedUterine Cervical NeoplasmsFemaleHumansImage Processing, Computer-AssistedOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedTomography, X-Ray Computedbrachytherapydevelopmentvirtual phantom

Identifiers

PMID42252540
PMCPMC13243176

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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.