Evidence map›Paper›PMID 40653735›Full record

ArticleJournal of applied clinical medical physics2025

Cumulative dose assessment with transformer-based deformable image registration addition for cervical cancer patients.

Dongdong Zhou, Yuheng Shao, Fuying Wan, Jiayi Chen, Yumeng Zhang, Jiaqi Feng, Yunfei Ye, Jinglan Zhou, Fubin Zeng, Qi Chen and 3 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Dongdong ZhouDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Yuheng ShaoDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Fuying WanDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiayi ChenDepartment of Nantong University Xinglin College, Nantong, China.
Yumeng ZhangDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiaqi FengDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Yunfei YeDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Jinglan ZhouDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Fubin ZengDepartment of School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Qi ChenDepartment of MedMind Technology Co., Ltd., Beijing, China.
Shaobin WangDepartment of MedMind Technology Co., Ltd., Beijing, China.
Heqing LuDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Liang YangDepartment of Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

National Natural Science Foundation of China 82073474Pudong District Obstetrics and Gynecology Medical Association Project PDYLT2022-01Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 21Y11906800Talent Pool Project of Shanghai First Maternity and Infant Hospital 2022LH06
6 · The paper itself

Abstract

purposeBased on the combination mode of internal and external radiotherapy for cervical cancer, this study aimed to investigate an accurate transformer-based deformable image registration (DIR) method for cumulative dose assessment. METHODS AND MATERIALS: According to a retrospective analysis conducted on 180 patients with cervical cancer who underwent intracavitary brachytherapy (ICBT) and external beam radiation therapy (EBRT), this study proposed a mix-transformer structure-based deformable image registration (MTDIR) network for registering CT scans of ICBT and EBRT, followed by dose accumulation and assessment. The mean dice similarity coefficient (DSC) and Hausdorff distance (HD) of the rectum and bladder were computed to compare the performance of MTDIR with that of the state-of-the-art VoxelMorph method and the DIR method provided by velocity. Additionally, the cumulative dose of the bladder and rectum from four methods was calculated: direct DVH parameter addition (DA), DIR-based dose addition provided by Velocity (VA), VoxelMorph-based dose addition (VoA), and MTDIR-based dose addition (MA).

resultsThe mean DSC values of MTDIR, VoxelMorph, and Velocity for the bladder were 0.78, 0.75, and 0.72 for the registration between CT scans of EBRT and the last ICBT, respectively. The mean DSC values of the rectum were also equal to 0.58, 0.56, and 0.52. The mean HDmean values of MTDIR, VoxelMorph, and Velocity for the bladder were 4.81, 5.16, and 5.43, and the mean HDmean values of the rectum were 5.41, 5.81, and 6.93, respectively. For the registration between CT scans of ICBT, the mean DSC values of MTDIR, VoxelMorph, and Velocity for the bladder were obtained 0.82, 0.80, and 0.77, and the mean DSC values for the rectum were equal to 0.70, 0.68, and 0.63, respectively. The mean HDmean values of MTDIR, VoxelMorph, and Velocity for the bladder were 4.22, 4.58, and 4.79, and the mean HDmean values of the rectum were obtained 4.86, 5.17, and 5.64, respectively. The results generally suggested that MTDIR outperformed VoxelMorph and Velocity.

conclusionsThe study findings demonstrated that the model developed based on parameters obtained from the proposed method exhibited higher registration accuracy.

Indexed as

BrachytherapyImage Processing, Computer-AssistedOrgans at RiskRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedUterine Cervical NeoplasmsAlgorithmsFemaleHumansRadiotherapy DosageRadiotherapy, Intensity-ModulatedRectumRetrospective StudiesUrinary Bladdercervical cancercumulative dose assessmentdeformable image registration

Identifiers

PMID40653735
PMCPMC12256675

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