利用影像组学特征预测头颈部肿瘤中人乳头瘤病毒（HPV）状态的综述
The Use of Radiomic Features to Predict Human Papillomavirus (HPV) Status in Head and Neck Tumors: A Review.
作者信息
Glogauer Judah, Kohanzadeh Avraham, Feit Avery, Fournier Jeffrey E, Zians Avraham, Somogyi Dafna Z
机构信息
Department of Pathology and Molecular Medicine, McMaster University, Waterloo, CAN.
Medical School, Albert Einstein College of Medicine, Bronx, USA.
出版信息
Cureus. 2023 Aug 31;15(8):e44476. doi: 10.7759/cureus.44476. eCollection 2023 Aug.
Abstract
Head and neck cancers represent a significant source of morbidity and mortality across the world. The individual genetic makeup of each tumor can help to determine the course of treatment and can help clinicians predict prognosis. Non-invasive tools to determine the genetic status of these tumors, particularly p16 (human papillomavirus (HPV)) status could prove extremely valuable to treating clinicians and surgeons. The field of radiomics is a burgeoning area of radiology practice that aims to provide quantitative biomarkers that can be derived from radiological images and could prove useful in determining p16 status non-invasively. In this review, we summarize the current evidence for the use of radiomics to determine the HPV status of head and neck tumors. .
摘要
头颈癌是全球发病和死亡的一个重要来源。每个肿瘤的个体基因构成有助于确定治疗方案，并能帮助临床医生预测预后。用于确定这些肿瘤基因状态的非侵入性工具，尤其是p16（人乳头瘤病毒（HPV））状态，对治疗临床医生和外科医生来说可能极具价值。放射组学领域是放射学实践中一个新兴的领域，旨在提供可从放射图像中得出的定量生物标志物，并且可能在非侵入性确定p16状态方面有用。在这篇综述中，我们总结了目前使用放射组学来确定头颈肿瘤HPV状态的证据。
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