Research ArticleCancer

A multimodality test to guide the management of patients with a pancreatic cyst

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Science Translational Medicine  17 Jul 2019:
Vol. 11, Issue 501, eaav4772
DOI: 10.1126/scitranslmed.aav4772

Pancreatic prognostication

Early, accurate detection of pancreatic cancer is a high priority. However, not all pancreatic cysts develop into cancer and they can be difficult to triage, leading to both missed diagnoses and unnecessary surgeries. Springer, Masica, and Dal Molin et al. developed a machine-learning method that integrates high-dimensional clinical, imaging, and molecular data to diagnose and determine the likely best course of action for patients with pancreatic cysts: discharge and no follow-up, discharge and routine monitoring, or surgery. The test, tuned to avoid discharging patients with potential malignancies, outperformed the current standard of care in managing patients in all groups, demonstrating its potential for both clinicians and patients.

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