Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2021 Aug 7;56(8):844-847. doi: 10.3760/cma.j.cn115330-20201109-00858.
ABSTRACT
Objective: To explore the values of intraoperative fine-needle aspiration (IFNA) and parathyroid hormone (PTH) detection in the eluate of aspirated tissue during parathyroidectomy. Methods: Fifty-four patients with secondary hyperparathyroidism (SHPT) including 24 males and 30 females, aged 20-83 years, admitted to Zhongnan Hospital of Wuhan University from January 2019 to October 2019, were included. All patients received subtotal parathyroidectomy with autologous transplantation, during surgery, IFNA and PTH detection in the eluate of aspirated tissue were performed, and also routine postoperative pathological examination was performed. The results of PTH detection in the eluate of aspirated tissue and postoperative pathological examinations were compared and analyzed by SPSS and R software for e valuating of the sensitivity, specificity, positive predictive value, negative predictive value, misdiagnosis rate, missed diagnosis and accuracy. Results: Surgery was completed successfully in all patients. After surgery, the symptoms were improved in the patients except two who were asymptomatic. None had any serious postoperative complications such as hypocalcaemia or hoarseness. A total of 231 aspirated tissue samples were tested, of which 216 were identified as parathyroid and 15 non-parathyroid based on intraoperative PTH detection in tissue eluate; while 217 were confirmed as parathyroid tissues and 14 non-parathyroid tissues with postoperative pathological examinations. The specificity and sensitivity of intraoperative IFNA and PTH detection in tissue eluate for identifying parathyroid tissues were 99.5% and 100.0%, respectively. Conclusion: The IFNA and PTH detection in tissue eluate is a rapid, simple, and accurate procedure, which helps the surgeon to identi fy parathyroid tissue and to ensure the endocrine activity of preserved or autografted parathyroid tissue during parathyroidectomy.
PMID:34521169 | DOI:10.3760/cma.j.cn115330-20201109-00858
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