| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Imaging, Diagnosis, Prognosis |
Authors' Affiliations: 1 Biomedical Engineering Department, Northwestern University and 2 Department of Internal Medicine, Evanston Northwestern Healthcare, Evanston, Illinois
Requests for reprints: Randall Brand, Department of Internal Medicine, Evanston Northwestern Healthcare, 2100 Pfingsten Road, Glenview, IL 650026. Phone: 847-657-1900; Fax: 847-657-1961; E-mail: rbrand{at}enh.org.
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.
Commentary
Clin. Cancer Res. 2007 13: 4315-4316.
This article has been cited by other articles:
![]() |
R. LaComb, O. Nadiarnykh, and P. J. Campagnola Quantitative Second Harmonic Generation Imaging of the Diseased State Osteogenesis Imperfecta: Experiment and Simulation Biophys. J., June 1, 2008; 94(11): 4504 - 4514. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. J. Bigio and S. K. Singh Gastrointestinal Cancer Surveillance by Optical Sensing Clin. Cancer Res., August 1, 2007; 13(15): 4315 - 4316. [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Cancer Research | Clinical Cancer Research |
| Cancer Epidemiology Biomarkers & Prevention | Molecular Cancer Therapeutics |
| Molecular Cancer Research | Cancer Prevention Research |
| Cancer Prevention Journals Portal | Cancer Reviews Online |
| Annual Meeting Education Book | Meeting Abstracts Online |