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Indocyanine green fluorescence for parathyroid gland identification and function prediction: Systematic review and meta-analysis

Publisher

WILEY
DOI: 10.1002/hed.26950

Keywords

fluorescence; hypoparathyroidism; indocyanine green; parathyroid glands; thyroidectomy

Funding

  1. National Research Foundation of Korea [2019M3A9H2032424, 2019M3E5D5064110, 2020R1I1A1A01051844]
  2. National Research Foundation of Korea [2019M3A9H2032424, 2020R1I1A1A01051844, 2019M3E5D5064110] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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The study evaluated the diagnostic accuracies of ICG fluorescence for identifying parathyroid glands during surgery and predicting postoperative function. ICG was found to effectively identify parathyroid glands and predict function, which is valuable for patients undergoing thyroid surgery.
Background To evaluate the diagnostic accuracies of indocyanine green (ICG) fluorescence for identifying parathyroid glands during surgery and predicting the postoperative function. Methods From six databases, 21 studies were finally included in the study. True-positive, true-negative, false-positive, and false-negative data were extracted for the analysis. The quality of each study was analyzed using the QUADAS-2 tool. Results The sensitivity of ICG-based parathyroid gland identification was 0.9380 (95% CI [0.9003, 0.9621]). The diagnostic odds ratio for ICG-based prediction of parathyroid gland function was 54.5652 [13.2059, 225.4570]. The area under the summary receiver operating characteristic curve was 0.909. Fluorescence intensity-based prediction presented higher diagnostic accuracy than that of score-based prediction. The incidence of postoperative hypoparathyroidism was higher in the group with a zero ICG score compared to the high scored group. Conclusions Identification of parathyroid gland and prediction of postoperative function using ICG are valuable to patients undergoing thyroidectomy or parathyroidectomy.

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