Suppr超能文献

预测性影像数据、人工智能与胰腺癌:早期检测的重要信号。

Prediagnostic Image Data, Artificial Intelligence, and Pancreatic Cancer: A Tell-Tale Sign to Early Detection.

机构信息

From the Cancer Biomarker Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Rockville, MD.

出版信息

Pancreas. 2020 Aug;49(7):882-886. doi: 10.1097/MPA.0000000000001603.

Abstract

Pancreatic cancer continues to be one of the deadliest malignancies and is the third leading cause of cancer-related mortality in the United States. Based on several models, it is projected to become the second leading cause of cancer-related deaths by 2030. Although the overall survival rate for patients diagnosed with pancreatic cancer is less than 10%, survival rates are increasing in those whose cancers are detected at an early stage, when intervention is possible. There are, however, no reliable biomarkers or imaging technology that can detect early-stage pancreatic cancer or accurately identify precursors that are likely to progress to malignancy. The Alliance of Pancreatic Cancer Consortia, a virtual consortium of researchers, clinicians, and advocacies focused on early diagnosis of pancreatic cancer, was formed in 2016 to provide a platform and resources to discover and validate biomarkers and imaging methods for early detection. The focus of discussion at the most recent alliance meeting was on imaging methods and the use of artificial intelligence for early detection of pancreatic cancer.

摘要

胰腺癌仍然是最致命的恶性肿瘤之一,是美国癌症相关死亡的第三大主要原因。基于几种模型预测,到 2030 年,它将成为癌症相关死亡的第二大主要原因。尽管被诊断患有胰腺癌的患者的总体存活率不到 10%,但在癌症早期发现、有干预可能的情况下,存活率正在上升。然而,目前还没有可靠的生物标志物或成像技术可以检测早期胰腺癌,或准确识别可能进展为恶性肿瘤的前体。胰腺癌症联盟是一个由研究人员、临床医生和倡导团体组成的虚拟联盟,专注于胰腺癌的早期诊断,于 2016 年成立,旨在为发现和验证早期检测的生物标志物和成像方法提供平台和资源。最近的联盟会议的讨论重点是成像方法和人工智能在早期检测胰腺癌中的应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验