Loading…

Development of an imaging device for label‐free parathyroid gland identification and vascularity assessment

During thyroid surgeries, it is important for surgeons to accurately identify healthy parathyroid glands and assess their vascularity to preserve their function postoperatively, thus preventing hypoparathyroidism and hypocalcemia. Near infrared autofluorescence detection enables parathyroid identifi...

Full description

Saved in:
Bibliographic Details
Published in:Journal of biophotonics 2021-06, Vol.14 (6), p.e202100008-n/a
Main Authors: Mannoh, Emmanuel A., Parker, Logan B., Thomas, Giju, Solórzano, Carmen C., Mahadevan‐Jansen, Anita
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:During thyroid surgeries, it is important for surgeons to accurately identify healthy parathyroid glands and assess their vascularity to preserve their function postoperatively, thus preventing hypoparathyroidism and hypocalcemia. Near infrared autofluorescence detection enables parathyroid identification, while laser speckle contrast imaging allows assessment of parathyroid vascularity. Here, we present an imaging system combining the two techniques to perform both functions, simultaneously and label‐free. An algorithm to automate the segmentation of a parathyroid gland in the fluorescence image to determine its average speckle contrast is also presented, reducing a barrier to clinical translation. Results from imaging ex vivo tissue samples show that the algorithm is equivalent to manual segmentation. Intraoperative images from representative procedures are presented showing successful implementation of the device to identify and assess vascularity of healthy and diseased parathyroid glands. A new imaging device is presented for the purpose of identifying parathyroid glands and assessing their vascularity during surgery, without the need for contrast agents, through the combination of autofluorescence imaging with laser speckle contrast imaging. The device employs an algorithm to analyze images obtained and automate the delivery of relevant information to the surgeon, reducing a barrier to clinical translation.
ISSN:1864-063X
1864-0648
DOI:10.1002/jbio.202100008