Published in:
Open Access
01-12-2022 | Artificial Intelligence | Review
Advances in biomarkers and techniques for pancreatic cancer diagnosis
Authors:
Haotian Wu, Suwen Ou, Hongli Zhang, Rui Huang, Shan Yu, Ming Zhao, Sheng Tai
Published in:
Cancer Cell International
|
Issue 1/2022
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Abstract
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.