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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...
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Published in: | Journal of biophotonics 2021-06, Vol.14 (6), p.e202100008-n/a |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 1864-063X 1864-0648 |
DOI: | 10.1002/jbio.202100008 |