Human papillomavirus (HPV) infection is sexually transmitted and commonly widespread in the head and neck region; however, its role in tumor development and prognosis has only been demonstrated for oropharyngeal squamous cell carcinoma (HPV-OPSCC). The aim of this review is to analyze the results of the most recent literature that has investigated the use of artificial intelligence (AI) as a method for discerning HPV-positive from HPV-negative OPSCC tumors. A review of the literature was performed using PubMed/MEDLINE, EMBASE, and Cochrane Library databases, according to PRISMA for scoping review criteria (from 2017 to July 2024). A total of 15 articles and 4063 patients have been included. Eleven studies analyzed the role of radiomics, and four analyzed the role of AI in determining HPV histological positivity. The results of this scoping review indicate that AI has the potential to play a role in predicting HPV positivity or negativity in OPSCC. Further studies are required to confirm these results.
人乳头瘤病毒（HPV）感染通过性传播，在头颈部区域普遍存在；然而，其在肿瘤发生和预后中的作用仅在口咽鳞状细胞癌（HPV-OPSCC）中得到证实。本综述旨在分析最新文献中关于利用人工智能（AI）区分HPV阳性与HPV阴性OPSCC肿瘤的研究结果。根据PRISMA范围综述标准（2017年至2024年7月），通过PubMed/MEDLINE、EMBASE和Cochrane Library数据库进行文献检索。共纳入15篇文献，涉及4063名患者。其中11项研究分析了影像组学的作用，4项研究探讨了AI在判定HPV组织学阳性方面的作用。本范围综述结果表明，AI在预测OPSCC的HPV阳性或阴性状态方面具有潜在应用价值，但仍需进一步研究以验证这些结果。
肿瘤(癌症)患者之家