Photon-tissue interaction model enables quantitative optical analysis of human pancreatic tissues

A photon-tissue interaction (PTI) model was developed and employed to analyze 96 pairs of reflectance and fluorescence spectra from freshly excised human pancreatic tissues. For each pair of spectra, the PTI model extracted a cellular nuclear size parameter from the measured reflectance, and the relative contributions of extracellular and intracellular fluorophores to the intrinsic fluorescence. The results suggest that reflectance and fluorescence spectroscopies have the potential to quantitatively distinguish among pancreatic tissue types, including normal pancreatic tissue, pancreatitis, and pancreatic adenocarcinoma.

[1]  Karthik Vishwanath,et al.  Do fluorescence decays remitted from tissues accurately reflect intrinsic fluorophore lifetimes? , 2004, Optics letters.

[2]  M. Imamura,et al.  Quantitative Analysis of Collagen and Collagen Subtypes I, III, and V in Human Pancreatic Cancer, Tumor‐Associated Chronic Pancreatitis, and Alcoholic Chronic Pancreatitis , 1995, Pancreas.

[3]  V. R. Kondepati,et al.  Near-infrared fiber optic spectroscopy as a novel diagnostic tool for the detection of pancreatic cancer. , 2005, Journal of biomedical optics.

[4]  M. Mycek,et al.  Design and development of a rapid acquisition laser-based fluorometer with simultaneous spectral and temporal resolution , 2001 .

[5]  G. Staerkel,et al.  Cytologic criteria for well differentiated adenocarcinoma of the pancreas in fine‐needle aspiration biopsy specimens , 2002, Cancer.

[6]  A. Koong,et al.  Pancreatic tumors show high levels of hypoxia. , 2000, International journal of radiation oncology, biology, physics.

[7]  Brian Pogue,et al.  Quantitative fluorescence lifetime spectroscopy in turbid media: comparison of theoretical, experimental and computational methods. , 2002, Physics in medicine and biology.

[8]  Katherine W. Calabro,et al.  Analysis of changes in reflectance measurements on biological tissues subjected to different probe pressures. , 2008, Journal of biomedical optics.

[9]  G. Zonios,et al.  Diffuse reflectance spectroscopy of human adenomatous colon polyps in vivo. , 1999, Applied optics.

[10]  V. Backman,et al.  Partial-wave microscopic spectroscopy detects subwavelength refractive index fluctuations: an application to cancer diagnosis. , 2009, Optics letters.

[11]  Robert Grützmann,et al.  Quantitative perfusion analysis of transabdominal contrast-enhanced ultrasonography of pancreatic masses and carcinomas. , 2009, Gastroenterology.

[12]  M. W. Büchler,et al.  Preoperative tissue diagnosis for tumours of the pancreas , 2009, The British journal of surgery.

[13]  Malavika Chandra,et al.  Optical spectroscopy detects histological hallmarks of pancreatic cancer. , 2009, Optics express.

[14]  J. Lindholm,et al.  Discrimination of pancreatic adenocarcinomas from chronic pancreatitis by morphometric analysis. , 1992, Pathology, research and practice.

[15]  Irene Georgakoudi,et al.  The combined use of fluorescence, reflectance, and light-scattering spectroscopy for evaluating dysplasia in Barrett's esophagus. , 2004, Gastrointestinal endoscopy clinics of North America.

[16]  P. Pour,et al.  Atlas of Exocrine Pancreatic Tumors , 1994, Springer Japan.

[17]  Zoya I. Volynskaya,et al.  Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy. , 2008, Journal of biomedical optics.

[18]  Karthik Vishwanath,et al.  Quantitative molecular sensing in biological tissues: an approach to non-invasive optical characterization. , 2006, Optics express.

[19]  Christoph Bobrowski,et al.  Comparison of endoscopic ultrasound-guided fine needle aspiration for focal pancreatic lesions in patients with normal parenchyma and chronic pancreatitis , 2002, American Journal of Gastroenterology.

[20]  P. Arcidiacono,et al.  Intraductal Optical Coherence Tomography for Investigating Main Pancreatic Duct Strictures , 2007, The American Journal of Gastroenterology.

[21]  Malavika Chandra,et al.  Spectral areas and ratios classifier algorithm for pancreatic tissue classification using optical spectroscopy. , 2010, Journal of biomedical optics.

[22]  C. Doglioni,et al.  Optical Coherence Tomography to Detect Epithelial Lesions of the Main Pancreatic Duct: An Ex Vivo Study , 2005, The American Journal of Gastroenterology.

[23]  Jarod C Finlay,et al.  Effect of pigment packaging on diffuse reflectance spectroscopy of samples containing red blood cells. , 2004, Optics letters.

[24]  Killough Bw,et al.  Diagnosis of pancreatic carcinoma by fine needle aspiration cytology and computerized cytomorphometry. , 1989 .

[25]  John L. Cameron,et al.  Pancreaticoduodenectomy (Whipple Resections) in Patients Without Malignancy: Are They All `Chronic Pancreatitis'? , 2003, The American journal of surgical pathology.

[26]  T. Gansler,et al.  Diagnosis of pancreatic carcinoma by fine needle aspiration cytology and computerized cytomorphometry. , 1989, Analytical and quantitative cytology and histology.

[27]  Michele Follen,et al.  Model-based analysis of clinical fluorescence spectroscopy for in vivo detection of cervical intraepithelial dysplasia. , 2006, Journal of biomedical optics.

[28]  Karthik Vishwanath,et al.  Time-resolved photon migration in bi-layered tissue models. , 2005, Optics express.

[29]  Malavika Chandra,et al.  Probing pancreatic disease using tissue optical spectroscopy. , 2007, Journal of biomedical optics.