Preoperative prediction of parathyroid carcinoma in an Asian Indian cohort

Head Neck. 2021 Jul;43(7):2069-2080. doi: 10.1002/hed.26677. Epub 2021 Mar 10.

Abstract

Background: Parathyroid carcinoma (PC) requires preoperative prediction for appropriate surgical management. Differentiation from symptomatic primary hyperparathyroidism (sPHPT) cohort is difficult.

Methods: Patients with sPHPT from a tertiary-care center, Western India, including Cohort-A (n = 19 [10/M; 9/F]) with PC and Cohort-B (n = 93 [33/M; 60/F] with benign parathyroid lesions) were compared to derive predictors for differential diagnosis.

Results: There were no differences in clinical or biochemical parameters between the two cohorts. Comparison of CECT parameters showed that irregular shape, tumor heterogeneity, infiltration, short/long-axis ratio >0.76, and long-diameter >30 mm had high negative-predictive value and intratumoral calcification had 100% positive-predictive value to diagnose PC; whereas there were no differences in contrast-enhancement patterns. Long diameter, short/long-axis ratio, and heterogeneity were significant predictors on multivariate analysis.

Conclusion: It is difficult to predict diagnosis of PC in an Indian sPHPT cohort based on clinical and biochemical parameters, whereas CECT parathyroid-based parameters can aid in diagnosis.

Keywords: CECT parathyroid; parathyroid carcinoma (PC); preoperative prediction; symptomatic PHPT (sPHPT).

MeSH terms

  • Humans
  • Hyperparathyroidism, Primary* / diagnosis
  • Hyperparathyroidism, Primary* / surgery
  • India / epidemiology
  • Parathyroid Glands
  • Parathyroid Hormone
  • Parathyroid Neoplasms* / diagnosis
  • Parathyroid Neoplasms* / surgery
  • Retrospective Studies

Substances

  • Parathyroid Hormone