The Utility of Ultrasound in the Preoperative Localization of Primary Hyperparathyroidism: Insights from Pakistan
| Autor: | Sumerah Jabeen, Saadia Sattar, Najmul Islam, Tehseen Fatima, Bhagwan Das, Abid Abbas Khan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Parathyroidectomy
medicine.medical_specialty endocrine system diseases medicine.medical_treatment education 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine ultrasound neck Internal Medicine Medicine primary hyperparathyroidism Reference standards 99m-tc sestamibi scintigraphy business.industry preoperative localization Ultrasound General Engineering Endocrinology/Diabetes/Metabolism Retrospective cohort study medicine.disease University hospital Predictive value Sestamibi scintigraphy Radiology business 030217 neurology & neurosurgery Primary hyperparathyroidism Family/General Practice |
| Zdroj: | Cureus |
| ISSN: | 2168-8184 |
| Popis: | Objective We aimed to evaluate and compare the diagnostic performance of ultrasound (US) and 99m-Tc sestamibi scintigraphy for the preoperative localization of primary hyperparathyroidism (PHPT). Methods This retrospective study was conducted at the Aga Khan University Hospital in Karachi, Pakistan, and comprised the data of patients with PHPT who underwent parathyroidectomy from 2008 to 2017. Preoperative US and 99m-Tc sestamibi scintigraphy findings were recorded and compared to surgical and histological findings, which were taken as a reference standard. Results The sensitivity of US in the preoperative localization of PHPT was 88.3%, positive predictive value (PPV) was 94.6%, and accuracy was 84.1%. The sensitivity of 99m-Tc sestamibi scintigraphy was 90.4%, PPV was 94.3%, and accuracy was 85.7%. Conclusion US neck is an efficient tool for the preoperative localization of PHPT, demonstrating a comparable diagnostic yield with 99m-Tc sestamibi, and can serve as a credible first-line imaging modality in a resource-constrained healthcare setup. |
| Databáze: | OpenAIRE |
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