Because there are no symptoms in the early stages of pancreatic cancer “about 75 to 80 percent of patients are diagnosed in the later stages of the disease,” said Somashekar Krishna, MD, a James physician scientist who specializes in the early detection and screening of pancreatic cancer.
Krishna and the team of pancreatic cancer experts at the James are using enhanced screening and artificial intelligence (AI) to better identify pre-cancerous cysts and cancerous tumors in the pancreas; and are the first in the world to use high-tech ablation techniques to attack and kill pancreatic cysts and tumors in a new clinical trial. Most pancreatic cancer tumors begin as pre-cancerous cysts and are most commonly found in people 60 and older. “For people in their 50s there is about a 10-percent prevalence, this doubles in people 60 to 70 to 20 percent and is 25 to 30 percent in people 70 to 80,” Krishna said, adding, “most are small and never grow and become cancerous.”
Endoscopy procedures are used to better “see” these cysts and cancerous tumors, and the use of artificial intelligence is another tool to identify and determine the risk factor of pre-cancerous cysts. “The tip of the endoscopy probe can see even the tiniest structures in a very detailed manner, and we can pass a needle through the scope and do a biopsy and establish the risk,” Krishna said. Surgery is one option, but the procedure is quite invasive and not easily tolerated by older patient with other medical issues. “A new option is ablation, using heat, in a very precise and careful manner,” Krishna said. “We are the only ones doing this in the United States and have done this with nearly 30 patients in a clinical trial.” Krishna is determined to improve screening and treatment for pancreatic cancer and reduce the mortality rate. “Early in my career, 80 percent of patients diagnosed with pancreatic cancer did not make it more than a year,” he said. “We want to change these outcomes to intervene early and with better and better treatment options.”