PURPOSE: Pancreatic cancer remains one of the most deadly cancers and carries a dismal 5-year survival rate of <5%. Therefore, there is urgent need to develop a highly accurate and minimally invasive (e.g., without instrumentation of the pancreatic duct given high rate of complications) method of detection. Our group has developed a collection of novel light-scattering technologies that provide unprecedented quantitative assessment of the nanoscale architecture of the epithelium. We propose a novel approach to predict pancreatic cancer through the assessment of the adjacent periampullary duodenal mucosa without any interrogation of the pancreatic duct or imaging of the pancreas. EXPERIMENTAL DESIGN: Endoscopically and histologically normal-appearing periampullary duodenal biopsies obtained from 19 pancreatic cancer patients were compared with those obtained at endoscopy from 32 controls. Biopsies were analyzed using our newly developed optical technologies, four-dimensional elastic light-scattering fingerprinting (4D-ELF) and low-coherence enhanced backscattering (LEBS) spectroscopy. RESULTS: 4D-ELF- and LEBS-derived optical markers from normal-appearing periampullary duodenal mucosa can discriminate between pancreatic cancer patients and normal controls with 95% sensitivity and 91% specificity. Moreover, the diagnostic performance of these optical markers was not compromised by confounding factors such as tumor location and stage. CONCLUSIONS: Here, we showed, for the first time, that optical analysis of histologically normal duodenal mucosa can predict the presence of pancreatic cancer without direct visualization of the pancreas.
PURPOSE:Pancreatic cancer remains one of the most deadly cancers and carries a dismal 5-year survival rate of <5%. Therefore, there is urgent need to develop a highly accurate and minimally invasive (e.g., without instrumentation of the pancreatic duct given high rate of complications) method of detection. Our group has developed a collection of novel light-scattering technologies that provide unprecedented quantitative assessment of the nanoscale architecture of the epithelium. We propose a novel approach to predict pancreatic cancer through the assessment of the adjacent periampullary duodenal mucosa without any interrogation of the pancreatic duct or imaging of the pancreas. EXPERIMENTAL DESIGN: Endoscopically and histologically normal-appearing periampullary duodenal biopsies obtained from 19 pancreatic cancerpatients were compared with those obtained at endoscopy from 32 controls. Biopsies were analyzed using our newly developed optical technologies, four-dimensional elastic light-scattering fingerprinting (4D-ELF) and low-coherence enhanced backscattering (LEBS) spectroscopy. RESULTS: 4D-ELF- and LEBS-derived optical markers from normal-appearing periampullary duodenal mucosa can discriminate between pancreatic cancerpatients and normal controls with 95% sensitivity and 91% specificity. Moreover, the diagnostic performance of these optical markers was not compromised by confounding factors such as tumor location and stage. CONCLUSIONS: Here, we showed, for the first time, that optical analysis of histologically normal duodenal mucosa can predict the presence of pancreatic cancer without direct visualization of the pancreas.
Authors: Vladimir Turzhitsky; Jeremy D Rogers; Nikhil N Mutyal; Hemant K Roy; Vadim Backman Journal: IEEE J Sel Top Quantum Electron Date: 2010 Impact factor: 4.544
Authors: Pilar Beatriz Garcia-Allende; Venkataramanan Krishnaswamy; P Jack Hoopes; Kimberley S Samkoe; Olga M Conde; Brian W Pogue Journal: J Biomed Opt Date: 2009 May-Jun Impact factor: 3.170
Authors: William R Lloyd; Robert H Wilson; Seung Yup Lee; Malavika Chandra; Barbara McKenna; Diane Simeone; James Scheiman; Mary-Ann Mycek Journal: Biomed Opt Express Date: 2013-12-02 Impact factor: 3.732