Characteristics of the parathyroid gland in endoscopic thyroidectomy with the application of an image enhancement system
Related Experiment Video
Updated: Feb 13, 2026

Mixed Reality Assisted Radical Endoscopic Thyroidectomy
Published on: January 31, 2025
Peiliang Lin1, Ping Han1, Faya Liang1
1Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107, Yanjiang West Road, Guangzhou, 510120, Guangdong, China.
Background:
To assist surgeons in identifying and preserving the parathyroid gland (PTG) in endoscopic thyroidectomy (ET), we have summarized the characteristics of the PTG and the surrounding tissues in ET by applying the Storz Professional Image Enhancement System (SPIES).
Methods:
From November 2014 to May 2016, 182 patients with 613 suspected PTGs were included in our study. The shape, color, area, and density of surface blood vessels (SBVs); whether they were encapsulated with adipose tissue; and whether congestion was present during the operation were summarized. The κ coefficient of interobserver agreement in assessing the area and the density of SBVs of suspected PTGs with and without Spectra A (SA) and Spectra B (SB) modalities were calculated. Multiple binary logistic regression analyses were performed to determine the predictive value of different characteristics for detecting the PTG in ET with the application of SPIES.
Results:
With visual identification and histopathological results as reference standards, 291 targeted tissues were identified as PTGs, 256 as adipose tissue, 43 as lymph nodes, and 23 as thyroid tissue. The κ coefficients of interobserver agreement in assessing SBV density with or without the SA and SB modalities were 0.944 ± 0.013 and 0.859 ± 0.021, respectively, and those in assessing SBV area were 0.937 ± 0.014 and 0.841 ± 0.022, respectively. In the comparison between PTGs and other tissues, multiple binary logistic regression analysis revealed that shape, color, SBV density, congestion, and whether tissue was encapsulated with adipose tissue were independent predictive factors of PTGs.
Conclusion:
With the application of SPIES, the shape, color, density of SBVs, adipose tissue encapsulation, and congestion were independent factors that predicted PTGs in ET. The SA and SB modalities of SPIES could improve the reliability of SBV density and area classifications in targeted tissues.
Related Concept Videos
The Parathyroid Glands
Oxyphil cells, whose functions remain elusive, emerge during late puberty, adding a layer of complexity to the parathyroid gland's intricacies. In contrast, principal parathyroid cells undertake a vital role by...
Characteristics of Life
Characteristics of Fluids
Characteristics of Fluids
Fluids, which include both liquids and gases, are substances that deform continuously under shearing stress. For example, water and oil are liquids with molecules that can...
Characteristics of BJT
For input characteristics, the base-emitter voltage is varied, maintaining a constant collector-emitter voltage. This setup reveals a Shockley-type dependence of the collector current on...
Characteristics of JFET
The core of a JFET's operation is controlling drain current by modulating the gate-source voltage. When the drain and gate voltage are set to zero, the JFET exhibits no net current flow, representing a state of equilibrium. The drain current increases linearly as the...

