Alessia Cimadamore, Rodolfo Montironi, Liang Cheng, Antonio Lopez-Beltran, Eamonn T Rogers, Carmine Franzese, Alessandro Crestani, Gianluca Giannarini
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引用次数: 0
摘要
根据《柳叶刀》前列腺癌委员会（Lancet Commission on prostate cancer, PCa）最近发表的一篇论文1，预计到2040年，前列腺癌新病例将从2020年的140万增加到290万。这种上升无法通过公共卫生干预和改变生活方式来预防。前列腺癌的晚期诊断“在世界范围内普遍存在，尤其是在低收入和中等收入国家”1。应对病例数增加造成的危害的最佳方法是开发早期诊断系统。早期诊断系统将不得不整合日益强大的人工智能（AI），包括数字病理学（DP）诊断，以帮助解释前列腺组织标本。这篇文章旨在指出DP和AI如何帮助病理学家应对即将到来的前列腺癌“海啸”。
The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami.
According to the recently published paper by the Lancet Commission on prostate cancer (PCa) 1, the projections of new cases of PCa will rise from 1.4 million in 2020 to 2.9 million by 2040. Such a rise cannot be prevented by public health interventions and lifestyle changes. Late diagnosis of PCa is "widespread worldwide but especially in low-income and middle-income countries" 1. The best way to cope with the harm due to the increase in case numbers is to develop systems for earlier diagnosis. Early diagnosis systems will have to integrate the growing power of artificial intelligence (AI), including digital pathology (DP) diagnostics, to aid the interpretation of prostate tissue specimens 1. This contribution aims to point out how DP and AI can help pathologists for the prostate cancer "tsunami" about to come.
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