Yong Hu1, Albert Y Han1,2,3, Shan Huang4, Peter Pellionisz5, Yazeed Alhiyari1, Jeffrey F Krane6, Ramesh Shori7, Oscar Stafsudd7, Maie A St John1,2,3,6. 1. Department of Head and Neck Surgery, University of California Los Angeles (UCLA), Los Angeles, California, U.S.A. 2. UCLA Head and Neck Cancer Program, UCLA Medical Center, Los Angeles, California, U.S.A. 3. Jonsson Comprehensive Cancer Center, UCLA Medical Center, Los Angeles, California, U.S.A. 4. Department of Materials Science and Engineering, UCLA, Los Angeles, California, U.S.A. 5. Department of Biomedical Engineering, UCLA, Los Angeles, California, U.S.A. 6. Department of Pathology and Laboratory Medicine, UCLA Medical Center, Los Angeles, California, U.S.A. 7. Department of Electrical and Computer Engineering, Henry Samueli School of Engineering, UCLA, Los Angeles, California, U.S.A.
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.
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.