Preoperative metabolic classification of thyroid nodules using mass spectrometry imaging of fine-needle aspiration biopsies
Abstract
Fine-needle aspiration (FNA) biopsy is a well-established technique for diagnosis of suspicious thyroid lesions. However, histologic discrimination between malignant and benign thyroid nodules from FNA can be challenging. Patients with an indeterminate FNA diagnosis often require diagnostic surgery, with the majority ultimately receiving a benign diagnosis. Here, we employ desorption electrospray ionization mass spectrometry (DESI-MS) imaging to diagnose thyroid lesions based on the molecular profiles obtained from FNA biopsy samples. Based on the molecular profiles obtained from malignant thyroid carcinomas and benign thyroid tissues, classification models were generated and used to predict on DESI-MSI data from FNA material with high performance. Our results demonstrate the potential for DESI-MSI to reduce the number of unnecessary diagnostic thyroid surgeries.
- Publication:
-
Proceedings of the National Academy of Science
- Pub Date:
- October 2019
- DOI:
- 10.1073/pnas.1911333116
- Bibcode:
- 2019PNAS..11621401D