Wu Haotian, Ou Suwen, Zhang Hongli, Huang Rui, Yu Shan, Zhao Ming, Tai Sheng
Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Harbin Medical University, Harbin, 150086, China.
Cancer Cell Int. 2022 Jun 28;22(1):220. doi: 10.1186/s12935-022-02640-9.
Pancreatic cancer is the most lethal type of malignancy and is characterized by high invasiveness without severe symptoms. It is difficult to detect PC at an early stage because of the low diagnostic accuracy of existing routine methods, such as abdominal ultrasound, CT, MRI, and endoscopic ultrasound (EUS). Therefore, it is of value to develop new diagnostic techniques for early detection with high accuracy. In this review, we aim to highlight research progress on novel biomarkers, artificial intelligence, and nanomaterial applications on the diagnostic accuracy of pancreatic cancer.
胰腺癌是最致命的恶性肿瘤类型,其特点是侵袭性强但症状不严重。由于现有常规方法(如腹部超声、CT、MRI和内镜超声(EUS))的诊断准确性较低,早期检测胰腺癌很困难。因此,开发具有高准确性的早期检测新诊断技术具有重要价值。在本综述中,我们旨在突出新型生物标志物、人工智能和纳米材料应用在提高胰腺癌诊断准确性方面的研究进展。