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- Publisher Website: 10.1016/j.ijrobp.2024.06.015
- Scopus: eid_2-s2.0-85202766697
- PMID: 38964419
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Article: Evaluating Virtual Contrast-Enhanced Magnetic Resonance Imaging in Nasopharyngeal Carcinoma Radiation Therapy: A Retrospective Analysis for Primary Gross Tumor Delineation
Title | Evaluating Virtual Contrast-Enhanced Magnetic Resonance Imaging in Nasopharyngeal Carcinoma Radiation Therapy: A Retrospective Analysis for Primary Gross Tumor Delineation |
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Authors | |
Issue Date | 2-Jul-2024 |
Publisher | Elsevier |
Citation | International Journal of Radiation Oncology - Biology - Physics, 2024 How to Cite? |
Abstract | Purpose: To investigate the potential of virtual contrast-enhanced magnetic resonance imaging (VCE-MRI) for gross-tumor-volume (GTV) delineation of nasopharyngeal carcinoma (NPC) using multi-institutional data. Methods and Materials: This study retrospectively retrieved T1-weighted (T1w), T2-weighted (T2w) MRI, gadolinium-based contrast-enhanced MRI (CE-MRI), and planning computed tomography (CT) of 348 biopsy-proven NPC patients from 3 oncology centers. A multimodality-guided synergistic neural network (MMgSN-Net) was trained using 288 patients to leverage complementary features in T1w and T2w MRI for VCE-MRI synthesis, which was independently evaluated using 60 patients. Three board-certified radiation oncologists and 2 medical physicists participated in clinical evaluations in 3 aspects: image quality assessment of the synthetic VCE-MRI, VCE-MRI in assisting target volume delineation, and effectiveness of VCE-MRI-based contours in treatment planning. The image quality assessment includes distinguishability between VCE-MRI and CE-MRI, clarity of tumor-to-normal tissue interface, and veracity of contrast enhancement in tumor invasion risk areas. Primary tumor delineation and treatment planning were manually performed by radiation oncologists and medical physicists, respectively. Results: The mean accuracy to distinguish VCE-MRI from CE-MRI was 31.67%; no significant difference was observed in the clarity of tumor-to-normal tissue interface between VCE-MRI and CE-MRI; for the veracity of contrast enhancement in tumor invasion risk areas, an accuracy of 85.8% was obtained. The image quality assessment results suggest that the image quality of VCE-MRI is highly similar to real CE-MRI. The mean dosimetric difference of planning target volumes was less than 1 Gy. Conclusions: The VCE-MRI is highly promising to replace the use of gadolinium-based CE-MRI in tumor delineation of NPC patients. |
Persistent Identifier | http://hdl.handle.net/10722/350770 |
ISSN | 2023 Impact Factor: 6.4 2023 SCImago Journal Rankings: 1.992 |
DC Field | Value | Language |
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dc.contributor.author | Li, Wen | - |
dc.contributor.author | Zhao, Dan | - |
dc.contributor.author | Zeng, Guangping | - |
dc.contributor.author | Chen, Zhi | - |
dc.contributor.author | Huang, Zhou | - |
dc.contributor.author | Lam, Saikit | - |
dc.contributor.author | Cheung, Andy Lai Yin | - |
dc.contributor.author | Ren, Ge | - |
dc.contributor.author | Liu, Chenyang | - |
dc.contributor.author | Liu, Xi | - |
dc.contributor.author | Lee, Francis Kar Ho | - |
dc.contributor.author | Au, Kwok Hung | - |
dc.contributor.author | Lee, Victor Ho Fun | - |
dc.contributor.author | Xie, Yaoqin | - |
dc.contributor.author | Qin, Wenjian | - |
dc.contributor.author | Cai, Jing | - |
dc.contributor.author | Li, Tian | - |
dc.date.accessioned | 2024-11-02T00:37:59Z | - |
dc.date.available | 2024-11-02T00:37:59Z | - |
dc.date.issued | 2024-07-02 | - |
dc.identifier.citation | International Journal of Radiation Oncology - Biology - Physics, 2024 | - |
dc.identifier.issn | 0360-3016 | - |
dc.identifier.uri | http://hdl.handle.net/10722/350770 | - |
dc.description.abstract | <p>Purpose: To investigate the potential of virtual contrast-enhanced magnetic resonance imaging (VCE-MRI) for gross-tumor-volume (GTV) delineation of nasopharyngeal carcinoma (NPC) using multi-institutional data. Methods and Materials: This study retrospectively retrieved T1-weighted (T1w), T2-weighted (T2w) MRI, gadolinium-based contrast-enhanced MRI (CE-MRI), and planning computed tomography (CT) of 348 biopsy-proven NPC patients from 3 oncology centers. A multimodality-guided synergistic neural network (MMgSN-Net) was trained using 288 patients to leverage complementary features in T1w and T2w MRI for VCE-MRI synthesis, which was independently evaluated using 60 patients. Three board-certified radiation oncologists and 2 medical physicists participated in clinical evaluations in 3 aspects: image quality assessment of the synthetic VCE-MRI, VCE-MRI in assisting target volume delineation, and effectiveness of VCE-MRI-based contours in treatment planning. The image quality assessment includes distinguishability between VCE-MRI and CE-MRI, clarity of tumor-to-normal tissue interface, and veracity of contrast enhancement in tumor invasion risk areas. Primary tumor delineation and treatment planning were manually performed by radiation oncologists and medical physicists, respectively. Results: The mean accuracy to distinguish VCE-MRI from CE-MRI was 31.67%; no significant difference was observed in the clarity of tumor-to-normal tissue interface between VCE-MRI and CE-MRI; for the veracity of contrast enhancement in tumor invasion risk areas, an accuracy of 85.8% was obtained. The image quality assessment results suggest that the image quality of VCE-MRI is highly similar to real CE-MRI. The mean dosimetric difference of planning target volumes was less than 1 Gy. Conclusions: The VCE-MRI is highly promising to replace the use of gadolinium-based CE-MRI in tumor delineation of NPC patients.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | International Journal of Radiation Oncology - Biology - Physics | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Evaluating Virtual Contrast-Enhanced Magnetic Resonance Imaging in Nasopharyngeal Carcinoma Radiation Therapy: A Retrospective Analysis for Primary Gross Tumor Delineation | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.ijrobp.2024.06.015 | - |
dc.identifier.pmid | 38964419 | - |
dc.identifier.scopus | eid_2-s2.0-85202766697 | - |
dc.identifier.eissn | 1879-355X | - |
dc.identifier.issnl | 0360-3016 | - |