Evidence map›Paper›PMID 40217299›Full record

ArticleRadiation oncology (London, England)2025

Dosimetric investigation of multi-parametric 4D-MRI for radiotherapy in liver cancer.

Sha Li, Xianggao Zhu, Haonan Xiao, Weiwei Liu, Yibao Zhang, Jing Cai, Tian Li, Yanye Lu

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2025. 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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1 · What the graph read from it

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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

8 authors.

Sha Li *Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China.
Xianggao Zhu *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education / Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute, Beijing, 100142, China.
Haonan XiaoDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Weiwei LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education / Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute, Beijing, 100142, China.
Yibao ZhangInstitute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China.
Jing CaiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Tian LiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China. tianli@polyu.edu.hk.
Yanye LuInstitute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China. yanye.lu@pku.edu.cn.ORCID http://orcid.org/0000-0002-3063-8051

Funding

Foundation of Peking University Cancer Hospital PY202305General Research Fund GRF 15104822, GRF 15102219NSFC Young Scientists Fund 82202941the Natural Science Foundation of China 82371112, 12275012the University Grants Committee, and the Health and Medical Research Fund, the Health Bureau, The Government of the Hong Kong Special Administrative Regions HMRF 10211606
6 · The paper itself

Abstract

backgroundIn radiotherapy, inadequate management of organ motion in liver cancer may lead to inadequate delineation accuracy, resulting in the underdosage of target tissues and overdosage of surrounding normal tissues. To investigate the clinical potential of multi-parametric 4D-MRI in the target delineation and dose accuracy for liver cancer radiotherapy.

methodsTwenty patients receiving radiotherapy for liver cancer were enrolled. Each patient underwent contrast-enhanced planning CT (free-breathing), contrast-enhanced T1-weighted (free-breathing), T2-weighted (gated) 3D-MRI, and low-quality 4D-MRI using the time resolved imaging with interleaved stochastic trajectories volumetric interpolated breath-hold examination (TWIST-VIBE) sequence. A dual-supervised deformation estimation model was used to generate a 4D deformable vector field (4D-DVF) from 4D-MRI data, and the prior images were deformed using this 4D-DVF to generate multi-parametric 4D-MRI. Assisted by 3D-MRI and multi-parametric 4D-MRI, target contours were performed on the planning CT, resulting in the generation of Target_3D and Target_4D. Clinical plans, Plan_3D and Plan_4D, were designed based on these contours respectively. To explore the dosimetric variations resulting from different contours without re-optimization, Plan_3D was directly applied to Target_4D, and Plan_4D was applied to Target_3D to generate Plan_3D' and Plan_4D' respectively. Target volume, contours, dose-volume histograms (DVHs), conformity index (CI), homogeneity index (HI), maximum and mean dose to organ as risks (OARs) were compared and evaluated.

resultsMean volume differences between Target_3D and Target_4D were 2.76 cm

conclusions3D image-guided target delineation may be more likely to underestimate target volume and compromise dose coverage, suggesting that using multi-parametric 4D-MRI can provide more precise target contours and enhance target dose coverage.

Indexed as

Liver NeoplasmsMagnetic Resonance ImagingRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedAgedFemaleFour-Dimensional Computed TomographyHumansImaging, Three-DimensionalMaleMiddle AgedOrgans at RiskRadiometryRadiotherapy DosageRadiotherapy, Intensity-ModulatedDDEMLiver cancerMulti-parametric 4D-MRIPlanRadiotherapyTarget contouring

Identifiers

PMID40217299
PMCPMC11987451

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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.