Migliorelli Andrea, Manuelli Marianna, Ciorba Andrea, Stomeo Francesco, Pelucchi Stefano, Bianchini Chiara
ENT & Audiology Unit, Department of Neurosciences, University Hospital of Ferrara, 44100 Ferrara, Italy.
Cancers (Basel). 2024 Dec 2;16(23):4040. doi: 10.3390/cancers16234040.
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，其在肿瘤发生发展和预后中的作用仅在口咽鳞状细胞癌（HPV-OPSCC）中得到证实。本综述的目的是分析最新文献的研究结果，这些文献探讨了使用人工智能（AI）作为区分HPV阳性和HPV阴性OPSCC肿瘤的方法。根据PRISMA范围综述标准（2017年至2024年7月），使用PubMed/MEDLINE、EMBASE和Cochrane图书馆数据库对文献进行了综述。共纳入15篇文章和4063例患者。11项研究分析了放射组学的作用，4项研究分析了AI在确定HPV组织学阳性方面的作用。本范围综述的结果表明，AI有可能在预测OPSCC的HPV阳性或阴性方面发挥作用。需要进一步的研究来证实这些结果。
