Ontology highlight
ABSTRACT: Background
Surgical resection with microscopically negative margins remains the main curative option for pancreatic cancer; however, in practice intraoperative delineation of resection margins is challenging. Ambient mass spectrometry imaging has emerged as a powerful technique for chemical imaging and real-time diagnosis of tissue samples. We applied an approach combining desorption electrospray ionization mass spectrometry imaging (DESI-MSI) with the least absolute shrinkage and selection operator (Lasso) statistical method to diagnose pancreatic tissue sections and prospectively evaluate surgical resection margins from pancreatic cancer surgery.Methods and findings
Our methodology was developed and tested using 63 banked pancreatic cancer samples and 65 samples (tumor an
SUBMITTER: Eberlin LS
PROVIDER: S-EPMC5019340 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature