Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/117889
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Health Technology and Informatics | - |
| dc.creator | Li, S | - |
| dc.creator | Zhu, X | - |
| dc.creator | Xiao, H | - |
| dc.creator | Liu, W | - |
| dc.creator | Zhang, Y | - |
| dc.creator | Cai, J | - |
| dc.creator | Li, T | - |
| dc.creator | Lu, Y | - |
| dc.date.accessioned | 2026-03-05T07:57:19Z | - |
| dc.date.available | 2026-03-05T07:57:19Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/117889 | - |
| dc.language.iso | en | en_US |
| dc.publisher | BioMed Central Ltd. | en_US |
| dc.rights | © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | The following publication Li, S., Zhu, X., Xiao, H. et al. Dosimetric investigation of multi-parametric 4D-MRI for radiotherapy in liver cancer. Radiat Oncol 20, 51 (2025) is available at https://doi.org/10.1186/s13014-025-02600-3. | en_US |
| dc.subject | DDEM | en_US |
| dc.subject | Liver cancer | en_US |
| dc.subject | Multi-parametric 4D-MRI | en_US |
| dc.subject | Plan | en_US |
| dc.subject | Radiotherapy | en_US |
| dc.subject | Target contouring | en_US |
| dc.title | Dosimetric investigation of multi-parametric 4D-MRI for radiotherapy in liver cancer | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 20 | - |
| dc.identifier.issue | 1 | - |
| dc.identifier.doi | 10.1186/s13014-025-02600-3 | - |
| dcterms.abstract | Background: In 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. | - |
| dcterms.abstract | Methods: Twenty 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. | - |
| dcterms.abstract | Results: Mean volume differences between Target_3D and Target_4D were 2.76 cm3 (standard deviation [SD] 3.42 cm3) in the caudate lobe, 181.54 cm3 (SD 68.50 cm3) in the left hepatic lobe, and 26.08 cm3 (SD 20.52 cm3) in the right hepatic lobe. Mean and SD of CI and HI is 1.02 ± 0.04 and 0.108 ± 0.02 in Plan_3D, 1.02 ± 0.01 and 0.107 ± 0.01 in Plan_4D. There were no statistically significant differences in OAR doses between Plan_3D and Plan_3D’, between Plan_4D and Plan_4D’. However, a statistically significant difference in target dose was observed between Plan_3D and Plan_3D’ (P = 1.47 × 10⁻⁷) and between Plan_4D and Plan_4D’ (P = 0.013). Plan_3D’ meets 100% of the prescription dose covering mean 77.89% (SD 10.13%) of the Targeted_4D volume, while Plan_4D’ covered mean 94.17% (SD 3.12%) of the Targeted_3D volume. | - |
| dcterms.abstract | Conclusions: 3D 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. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Radiation oncology, Dec. 2025, v. 20, no. 1, 51 | - |
| dcterms.isPartOf | Radiation oncology | - |
| dcterms.issued | 2025-12 | - |
| dc.identifier.scopus | 2-s2.0-105003107382 | - |
| dc.identifier.pmid | 40217299 | - |
| dc.identifier.eissn | 1748-717X | - |
| dc.identifier.artn | 51 | - |
| dc.description.validate | 202603 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was jointly supported by NSFC Young Scientists Fund (82202941), the Natural Science Foundation of China (12275012, 623B2001), Foundation of Peking University Cancer Hospital (PY202305, JC202505,PY202306), Beijing Natural Science Foundation (Z210008), Science and Technology Program of the Joint Fund of Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences(2023GLLH0138), General Research Fund (GRF 15104822, GRF 15102219), the University Grants Committee, the Health and Medical Research Fund (HMRF 10211606), the Health Bureau, The Government of the Hong Kong Special Administrative Regions, and Innovation and Technology Support Programme (ITS/049/22FP), Innovation and Technology Commission, Hong Kong Special Administrative Regions. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s13014-025-02600-3.pdf | 2.09 MB | Adobe PDF | View/Open |
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