Presentation + Paper
9 March 2022 Parathyroid gland differentiation using dynamic optical contrast imaging (DOCI)
Shan Huang, Yazeed Alhiyari, Kenric Tam, Albert Y. Han, Jeffrey F. Krane, Ramesh Shori, Oscar Stafsudd, Maie A. St. John
Author Affiliations +
Abstract
Surgical excision of an adenomatous or hypercellular parathyroid gland is typically the treatment of choice for primary hyperparathyroidism. Intraoperative identification can be challenging due to potential variable location and indistinct features of these glands. In 115 ex-vivo specimens we evaluated the efficacy of DOCI in identifying hypercellular parathyroid glands. Significant imaging differences were seen between hypercellular vs normal parathyroid glands vs other adjacent healthy tissues across 8 spectral channels (p<0.05). Our classification result (100% sensitivity, 98.8% specificity) using a logistic regression classifier further corroborated that DOCI has the capacity to accurately identify and differentiate parathyroid glands from surrounding tissues. DOCI enables sensitive and specific mapping of parathyroid location, leading to improved accuracy of the surgical procedure, reduced time to successful completion, fewer risks and improved patient outcomes.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shan Huang, Yazeed Alhiyari, Kenric Tam, Albert Y. Han, Jeffrey F. Krane, Ramesh Shori, Oscar Stafsudd, and Maie A. St. John "Parathyroid gland differentiation using dynamic optical contrast imaging (DOCI)", Proc. SPIE 11935, Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2022, 1193503 (9 March 2022); https://doi.org/10.1117/12.2610555
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KEYWORDS
Tissues

Luminescence

Optical imaging

Data modeling

Surgery

Machine learning

Neck

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