Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada; Department of Diagnostic and Therapeutic Radiology and Research, Faculty of Medicine, Ramathibodi Hospital, 270 Thanon Rama VI, Thung Phaya Thai, Ratchathewi, Bangkok 10400, Thailand.
Department of Radiology, Section of Neuroradiology, Froedtert and Medical College of Wisconsin, Milwaukee, 9200 W Wisconsin Avenue, WI 53226, USA.
Neuroimaging Clin N Am. 2020 Aug;30(3):311-323. doi: 10.1016/j.nic.2020.04.003. Epub 2020 Jun 10.
Multiple applications of dual energy computed tomography (DECT) have been described for the evaluation of disorders in the head and neck, especially in oncology. We review the body of evidence suggesting advantages of DECT for the evaluation of the neck compared with conventional single energy computed tomography scans, but the full potential of DECT is still to be realized. There is early evidence suggesting significant advantages of DECT for the extraction of quantitative biomarkers using radiomics and machine learning, representing a new horizon that may enable this technology to reach its full potential.
双能计算机断层扫描（DECT）在头颈部疾病的评估中具有多种应用，特别是在肿瘤学领域。我们回顾了 DECT 与常规单能计算机断层扫描相比在评估颈部方面具有优势的证据，但 DECT 的全部潜力仍有待实现。早期有证据表明，DECT 在利用放射组学和机器学习提取定量生物标志物方面具有显著优势，这代表了一个新的领域，可能使这项技术充分发挥其潜力。
