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Evaluating Virtual Contrast-enhanced MRI (VCE-MRI) in Nasopharyngeal Carcinoma Radiotherapy: A Retrospective Analysis for Primary Gross Tumor Delineation.
Li, Wen; Zhao, Dan; Zeng, Guangping; Chen, Zhi; Huang, Zhou; Lam, Saikit; Cheung, Andy Lai-Yin; Ren, Ge; Liu, Chenyang; Liu, Xi; Lee, Francis Kar-Ho; Au, Kwok-Hung; Lee, Victor Ho-Fun; Xie, Yaoqin; Qin, Wenjian; Cai, Jing; Li, Tian.
Afiliación
  • Li W; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China. Electronic address: wenli@polyu.edu.hk.
  • Zhao D; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Beijing Cancer Hospital & Institute, Peking University Cancer Hospital & Institute, Beijing, China.
  • Zeng G; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Chen Z; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Huang Z; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Beijing Cancer Hospital & Institute, Peking University Cancer Hospital & Institute, Beijing, China.
  • Lam S; Research Institute for Smart Aging, The Hong Kong Polytechnic University, Hong Kong SAR, China; Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Cheung AL; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Ren G; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Liu C; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Liu X; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
  • Lee FK; Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China.
  • Au KH; Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China.
  • Lee VH; Department of Clinical Oncology, The University of Hong Kong, Hong Kong SAR, China.
  • Xie Y; Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China.
  • Qin W; Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong Province, China.
  • Cai J; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China; Research Institute for Smart Aging, The Hong Kong Polytechnic University, Hong Kong SAR, China; The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China. Electronic a
  • Li T; Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China. Electronic address: litian.li@polyu.edu.hk.
Article en En | MEDLINE | ID: mdl-38964419
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Radiat Oncol Biol Phys Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Radiat Oncol Biol Phys Año: 2024 Tipo del documento: Article