Clinical application of 18F-FCH PET/CT in the diagnosis and treatment of hyperparathyroidism

Front Endocrinol (Lausanne). 2023 Apr 11:14:1100056. doi: 10.3389/fendo.2023.1100056. eCollection 2023.

Abstract

Objective: We evaluated the difference in parathyroid visualization on 18F-FCH PET/CT images obtained at 5 and 60 min, and quantitatively analyzed the mode of FCH uptake at different time points, to determine the best imaging time for FCH PET/CT.

Methods: This retrospective study included 73 patients with hyperparathyroidism (HPT) who underwent 18F-FCH PET/CT imaging between December 2017 and December 2021. The diagnostic efficiency of 5- and 60-min dual time point imaging for the diagnosis of hyperparathyroidism and parathyroid adenoma and hyperplasia, were compared using visual and quantitative analyses.

Results: Dual-time 18F-FCH PET/CT imaging visual analysis had diagnostic value for HPT. The receiver operating characteristic curve of PET/CT quantitative parameters for the diagnosis of HPT and lesions showed that the parathyroid/thyroid SUVmax ratio for 60-min imaging had a higher sensitivity and specificity (based on patient, sensitivity: 90.90% and specificity: 85.71%; based on focus, sensitivity: 83.06% and specificity: 85.71%) compared to that for 5-min imaging. PET/CT quantitative parameters can distinguish parathyroid adenoma and hyperplasia. The 60-min parathyroid SUVmax value had the highest diagnostic value (cutoff: 3.945; area under the curve: 0.783).

Conclusion: The quantitative parameters of 60min 18F-FCH PET/CT have more advantages in aiding in the pathologica diagnosis and clinical treatment of HPT.

Keywords: 18F-FCH PET/CT; diagnosis; hyperparathyroidism; imaging time selection; quantitative study.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Choline
  • Humans
  • Hyperparathyroidism* / diagnostic imaging
  • Hyperplasia / diagnostic imaging
  • Parathyroid Neoplasms* / diagnostic imaging
  • Parathyroid Neoplasms* / pathology
  • Positron Emission Tomography Computed Tomography / methods
  • Retrospective Studies

Substances

  • Choline

Grants and funding

This work is supported by Chongqing medical scientific research project (2021MSXM087).