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http://hdl.handle.net/10397/107845
| Title: | Evaluating virtual contrast-enhanced magnetic resonance imaging in nasopharyngeal carcinoma radiation therapy : a retrospective analysis for primary gross tumor delineation | Authors: | Li, W Zhao, D Zeng, G Chen, Z Huang, Z Lam, S Cheung, ALY Ren, G Liu, C Liu, X Lee, FKH Au, KH Lee, VHF Xie, Y Qin, W Cai, J Li, T |
Issue Date: | 1-Dec-2024 | Source: | International journal of radiation oncology biology physics, 1 Dec. 2024, v. 120, no. 5, p. 1448-1457 | Abstract: | Purpose: To investigate the potential of virtual contrast-enhanced MRI (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 CT of 348 biopsy-proven NPC patients from three 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 two medical physicists participated in clinical evaluations in three 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 were less than 1Gy. Conclusions: The VCE-MRI is highly promising to replace the use of gadolinium-based CE-MRI in tumor delineation of NPC patients. |
Keywords: | Deep learning Virtual contrast enhancement Clinical evaluation NPC |
Publisher: | Elsevier | Journal: | International journal of radiation oncology biology physics | ISSN: | 0360-3016 | EISSN: | 1879-355X | DOI: | 10.1016/j.ijrobp.2024.06.015 |
| Appears in Collections: | Journal/Magazine Article |
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