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Hu Y, Han AY, Huang S, Pellionisz P, Alhiyari Y, Krane JF, Shori R, Stafsudd O, St John MA. A Tool to Locate Parathyroid Glands Using Dynamic Optical Contrast Imaging. Laryngoscope 2021; 131:2391-2397. [PMID: 34043240 DOI: 10.1002/lary.29633] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 05/05/2021] [Accepted: 05/15/2021] [Indexed: 01/29/2023]
Abstract
OBJECTIVES/HYPOTHESIS Identification of parathyroid glands and adjacent tissues intraoperatively can be quite challenging because of their small size, variable locations, and indistinct external features. The objective of this study is to test the efficacy of the dynamic optical contrast imaging (DOCI) technique as a tool in specifically differentiating parathyroid tissue and adjacent structures, facilitating efficient and reliable tissue differentiation. STUDY DESIGN Prospective study. METHODS Both animal and human tissues were included in this study. Fresh specimens were imaged with DOCI and subsequently processed for hematoxylin and eosin (H&E) stain. The DOCI images were analyzed and compared to the H&E results as ground truth. RESULTS In both animal and human experiments, significant DOCI contrast was observed between parathyroid glands and adjacent tissue of all types. Region of interest analysis revealed most distinct DOCI values for each tissue when using 494 and 572 nm-specific band pass filter for signal detection (P < .005 for porcine tissues, and P = .02 for human specimens). Linear discriminant classifier for tissue type prediction based on DOCI also matched the underlying histology. CONCLUSIONS We demonstrate that the DOCI technique reliably facilitates specific parathyroid gland localization. The DOCI technique constitutes important groundwork for in vivo precision endocrine surgery. LEVEL OF EVIDENCE 4 Laryngoscope, 2021.
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Affiliation(s)
- Yong Hu
- Department of Head and Neck Surgery, University of California Los Angeles (UCLA), Los Angeles, California, U.S.A
| | - Albert Y Han
- Department of Head and Neck Surgery, University of California Los Angeles (UCLA), Los Angeles, California, U.S.A.,UCLA Head and Neck Cancer Program, UCLA Medical Center, Los Angeles, California, U.S.A.,Jonsson Comprehensive Cancer Center, UCLA Medical Center, Los Angeles, California, U.S.A
| | - Shan Huang
- Department of Materials Science and Engineering, UCLA, Los Angeles, California, U.S.A
| | - Peter Pellionisz
- Department of Biomedical Engineering, UCLA, Los Angeles, California, U.S.A
| | - Yazeed Alhiyari
- Department of Head and Neck Surgery, University of California Los Angeles (UCLA), Los Angeles, California, U.S.A
| | - Jeffrey F Krane
- Department of Pathology and Laboratory Medicine, UCLA Medical Center, Los Angeles, California, U.S.A
| | - Ramesh Shori
- Department of Electrical and Computer Engineering, Henry Samueli School of Engineering, UCLA, Los Angeles, California, U.S.A
| | - Oscar Stafsudd
- Department of Electrical and Computer Engineering, Henry Samueli School of Engineering, UCLA, Los Angeles, California, U.S.A
| | - Maie A St John
- Department of Head and Neck Surgery, University of California Los Angeles (UCLA), Los Angeles, California, U.S.A.,UCLA Head and Neck Cancer Program, UCLA Medical Center, Los Angeles, California, U.S.A.,Jonsson Comprehensive Cancer Center, UCLA Medical Center, Los Angeles, California, U.S.A.,Department of Pathology and Laboratory Medicine, UCLA Medical Center, Los Angeles, California, U.S.A
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Papour A, Taylor Z, Stafsudd O, Tsui I, Grundfest W. Imaging autofluorescence temporal signatures of the human ocular fundus in vivo. JOURNAL OF BIOMEDICAL OPTICS 2015; 20:110505. [PMID: 26590217 DOI: 10.1117/1.jbo.20.11.110505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 10/22/2015] [Indexed: 06/05/2023]
Abstract
We demonstrate real-time in vivo fundus imaging capabilities of our fluorescence lifetime imaging technology for the first time. This implementation of lifetime imaging uses light emitting diodes to capture full-field images capable of showing direct tissue contrast without executing curve fitting or lifetime calculations. Preliminary results of fundus images are presented, investigating autofluorescence imaging potential of various retina biomarkers for early detection of macular diseases.
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Affiliation(s)
- Asael Papour
- University of California, Los Angeles, Electrical Engineering Department, 56-125B Engineering, IV Building, 420 Westwood Plaza, Los Angeles, California 90095-1594, United States
| | - Zachary Taylor
- University of California, Los Angeles, Department of Bioengineering, 410 Westwood Plaza, Room 5121, Engineering V, P.O. Box 951600, Los Angeles, California 90095-1600, United States
| | - Oscar Stafsudd
- University of California, Los Angeles, Electrical Engineering Department, 56-125B Engineering, IV Building, 420 Westwood Plaza, Los Angeles, California 90095-1594, United States
| | - Irena Tsui
- University of California, Los Angeles, Stein Eye Institute and Doheny Eye Institute, 100 Stein Plaza, Los Angeles, California 90095-7000, United States
| | - Warren Grundfest
- University of California, Los Angeles, Department of Bioengineering, 410 Westwood Plaza, Room 5121, Engineering V, P.O. Box 951600, Los Angeles, California 90095-1600, United States
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Abstract
Diffuse optical imaging is highly versatile and has a very broad range of applications in biology and medicine. It covers diffuse optical tomography, fluorescence diffuse optical tomography, bioluminescence, and a number of other new imaging methods. These methods of diffuse optical imaging have diversified instrument configurations but share the same core physical principle – light propagation in highly diffusive media, i.e., the biological tissue. In this review, the author summarizes the latest development in instrumentation and methodology available to diffuse optical imaging in terms of system architecture, light source, photo-detection, spectral separation, signal modulation, and lastly imaging contrast.
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