Pancreatic surveillance can detect early-stage pancreatic cancer and achieve long-term survival, but currently involves annual endoscopic ultrasound and MRI/MRCP, and is recommended only for individuals who meet familial/genetic risk criteria. To improve upon current approaches to pancreatic cancer early detection and to expand access, more accurate, inexpensive, and safe biomarkers are needed, but finding them has remained elusive. Newer approaches to early detection, such as using gene tests to personalize biomarker interpretation, and the increasing application of artificial intelligence approaches to integrate complex biomarker data, offer promise that clinically useful biomarkers for early pancreatic cancer detection are on the horizon.
Keyphrases
- artificial intelligence
- big data
- early stage
- magnetic resonance imaging
- machine learning
- genome wide
- deep learning
- ultrasound guided
- public health
- copy number
- magnetic resonance
- radiation therapy
- electronic health record
- high resolution
- computed tomography
- loop mediated isothermal amplification
- label free
- diffusion weighted imaging
- locally advanced
- sentinel lymph node