Evaluating Micro-Optical Coherence Tomography as a Feasible Imaging Tool for Pancreatic Disease Diagnosis

Pancreatic cancer is one of the leading causes of cancer mortality worldwide due to the lack of reliable tools for early diagnosis of this cancer. In this study, we evaluated the feasibility of micro-optical coherence tomography ( <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>OCT) as an imaging tool for the diagnosis of pancreatic cancers. Specifically, we constructed a <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math> </inline-formula>OCT device that achieves a resolution of <inline-formula><tex-math notation="LaTeX">$\text{1.67}\pm \text{0.01}\, \mu$</tex-math></inline-formula>m and <inline-formula><tex-math notation="LaTeX">$\text{1.79}\pm \text{0.01}\, \mu$</tex-math></inline-formula>m in axial and lateral directions, respectively, and acquired three-dimensional <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>OCT images of mouse, rat, and human pancreatic specimens <italic>ex vivo</italic>. We compared the results of <inline-formula> <tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>OCT with those of the corresponding histology. In  <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>OCT images of normal pancreatic specimens, the detailed cellular and subcellular-level pancreatic microstructures, e.g., the islet of Langerhans (IL), IL cell nuclei, blood vessels, and serous acini, could be clearly resolved in different cases. To the best of our knowledge, this study is the first to demonstrate that the cellular and subcellular structures of pancreatic tissues were identified using OCT. More importantly, we showed that these normal cellular-level structures were lost in  <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>OCT images of cancerous specimens, demonstrating the feasibility of differentiating malignant lesions from normal tissues using <inline-formula> <tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>OCT. Moving forward, the development of an intraoperative imaging device may realize optical biopsies <italic>in vivo</italic> or real-time cellular-resolution examination of specimens from needle aspiration biopsies.

[1]  G. Ha Usler,et al.  "Coherence radar" and "spectral radar"-new tools for dermatological diagnosis. , 1998, Journal of biomedical optics.

[2]  Thilo Gambichler,et al.  Recent advances in clinical application of optical coherence tomography of human skin , 2015, Clinical, cosmetic and investigational dermatology.

[3]  H. Yoo,et al.  Design and fabrication of an optical probe with a phase filter for extended depth of focus. , 2016, Optics express.

[4]  Gopi N. Maguluri,et al.  Investigation of tissue cellularity at the tip of the core biopsy needle with optical coherence tomography. , 2018, Biomedical optics express.

[5]  L. Gullo,et al.  Acute Pancreatitis in Five European Countries: Etiology and Mortality , 2002, Pancreas.

[6]  Ping Shum,et al.  Dual spectrometer system with spectral compounding for 1-μm optical coherence tomography in vivo. , 2014, Optics letters.

[7]  C. V. D. van de Velde,et al.  Validation of full-field optical coherence tomography in distinguishing malignant and benign tissue in resected pancreatic cancer specimens , 2017, PloS one.

[8]  Xingde Li,et al.  Optical coherence tomography imaging of the pancreas: a needle-based approach. , 2005, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.

[9]  F. Real,et al.  A genetic roadmap of pancreatic cancer: still evolving , 2017, Gut.

[10]  Xinyu Liu,et al.  Depth extension and sidelobe suppression in optical coherence tomography using pupil filters. , 2014, Optics express.

[11]  Stephen M Pirris,et al.  Intraoperative image-guided spinal navigation: technical pitfalls and their avoidance. , 2014, Neurosurgical focus.

[12]  B. Bouma,et al.  Cardiovascular Optical Coherence Tomography , 2015 .

[13]  Tadataka Yamada,et al.  Textbook of Gastroenterology , 1995 .

[14]  Linbo Liu,et al.  Toward High-Speed Imaging of Cellular Structures in Rat Colon Using Micro-optical Coherence Tomography , 2016, IEEE Photonics Journal.

[15]  J. Fujimoto,et al.  Ultrahigh-resolution ophthalmic optical coherence tomography , 2001, Nature Medicine.

[16]  Xingde Li,et al.  Super-achromatic monolithic microprobe for ultrahigh-resolution endoscopic optical coherence tomography at 800 nm , 2017, Nature Communications.

[17]  J. Gardecki,et al.  Extended depth of focus for coherence-based cellular imaging. , 2017, Optica.

[18]  R. Webb,et al.  Video-rate confocal scanning laser microscope for imaging human tissues in vivo. , 1999, Applied optics.

[19]  Maciej Wojtkowski,et al.  Ophthalmic imaging by spectral optical coherence tomography. , 2004, American journal of ophthalmology.

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

[21]  Hongki Yoo,et al.  Endoscopic micro-optical coherence tomography with extended depth of focus using a binary phase spatial filter. , 2017, Optics letters.

[22]  Ruedi Aebersold,et al.  Mass spectrometry-based proteomic quest for diabetes biomarkers. , 2015, Biochimica et biophysica acta.

[23]  M. Sivak,et al.  In vivo optical coherence tomography imaging of the pancreatic and biliary ductal system. , 2005, Gastrointestinal endoscopy.

[24]  Y. Ni,et al.  Pancreatic imaging: Current status of clinical practices and small animal studies , 2017, World journal of methodology.

[25]  Ying Lu,et al.  Detection of hepatic metastases from cancers of the gastrointestinal tract by using noninvasive imaging methods (US, CT, MR imaging, PET): a meta-analysis. , 2002, Radiology.

[26]  G. Ripandelli,et al.  Optical coherence tomography. , 1998, Seminars in ophthalmology.

[27]  K. Chu,et al.  Method for Quantitative Study of Airway Functional Microanatomy Using Micro-Optical Coherence Tomography , 2013, PloS one.

[28]  Jiawen Li,et al.  Flexible needle with integrated optical coherence tomography probe for imaging during transbronchial tissue aspiration , 2017, Journal of biomedical optics.

[29]  Daniel Carl,et al.  Investigation of living pancreas tumor cells by digital holographic microscopy. , 2006, Journal of biomedical optics.

[30]  U. Ahlgren,et al.  Imaging the pancreas: from ex vivo to non-invasive technology , 2008, Diabetologia.

[31]  Vikas Chaudhary,et al.  Imaging of the pancreas: Recent advances , 2011, Indian journal of endocrinology and metabolism.

[32]  Nanguang Chen,et al.  Double-reflection polygon mirror for high-speed optical coherence microscopy. , 2007, Optics letters.

[33]  Linbo Liu,et al.  In vivo imaging of airway cilia and mucus clearance with micro-optical coherence tomography. , 2016, Biomedical optics express.

[34]  S. Yun,et al.  High-speed spectral-domain optical coherence tomography at 1.3 mum wavelength. , 2003, Optics express.