Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107845
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dc.contributorDepartment of Health Technology and Informaticsen_US
dc.contributorResearch Institute for Smart Ageingen_US
dc.contributorDepartment of Biomedical Engineeringen_US
dc.contributorMainland Development Officeen_US
dc.creatorLi, Wen_US
dc.creatorZhao, Den_US
dc.creatorZeng, Gen_US
dc.creatorChen, Zen_US
dc.creatorHuang, Zen_US
dc.creatorLam, Sen_US
dc.creatorCheung, ALYen_US
dc.creatorRen, Gen_US
dc.creatorLiu, Cen_US
dc.creatorLiu, Xen_US
dc.creatorLee, FKHen_US
dc.creatorAu, KHen_US
dc.creatorLee, VHFen_US
dc.creatorXie, Yen_US
dc.creatorQin, Wen_US
dc.creatorCai, Jen_US
dc.creatorLi, Ten_US
dc.date.accessioned2024-07-15T06:24:49Z-
dc.date.available2024-07-15T06:24:49Z-
dc.identifier.issn0360-3016en_US
dc.identifier.urihttp://hdl.handle.net/10397/107845-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectDeep learningen_US
dc.subjectVirtual contrast enhancementen_US
dc.subjectClinical evaluationen_US
dc.subjectNPCen_US
dc.titleEvaluating virtual contrast-enhanced magnetic resonance imaging in nasopharyngeal carcinoma radiation therapy : a retrospective analysis for primary gross tumor delineationen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author's file: Evaluating virtual contrast-enhanced MRI (VCE-MRI) in nasopharyngeal carcinoma radiotherapy: a retrospective analysis for primary gross tumor delineationen_US
dc.identifier.spage1448en_US
dc.identifier.epage1457en_US
dc.identifier.volume120en_US
dc.identifier.issue5en_US
dc.identifier.doi10.1016/j.ijrobp.2024.06.015en_US
dcterms.abstractPurpose: 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.en_US
dcterms.abstractMethods 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.en_US
dcterms.abstractResults: 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.en_US
dcterms.abstractConclusions: The VCE-MRI is highly promising to replace the use of gadolinium-based CE-MRI in tumor delineation of NPC patients.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationInternational journal of radiation oncology biology physics, 1 Dec. 2024, v. 120, no. 5, p. 1448-1457en_US
dcterms.isPartOfInternational journal of radiation oncology biology physicsen_US
dcterms.issued2024-12-01-
dc.identifier.eissn1879-355Xen_US
dc.description.validate202407 bcrcen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera2930c-
dc.identifier.SubFormID48812-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2025-12-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2025-12-01
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