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- Title
Spatial spectral imaging as an adjunct to the Bethesda classification of thyroid fine-needle aspiration specimens.
- Authors
Hahn, Lewis D; Hoyt, Clifford; Rimm, David L; Theoharis, Constantine
- Abstract
Thyroid fine-needle aspiration (FNA) biopsy, the preoperative diagnostic standard of care for patients with thyroid nodules, has limitations. Spectral imaging captures visible light information that is beyond the capability of the human eye, potentially increasing the accuracy of FNA biopsy. In the current study, the authors demonstrated the feasibility of using spectral imaging in combination with automated spatial analysis based on trainable pattern recognition as an adjunct test for thyroid FNA classification by developing an algorithm that distinguishes between images of papillary thyroid carcinoma (PTC) and benign goiter (BG).
- Publication
Cancer cytopathology, 2013, Vol 121, Issue 3, p162
- ISSN
1934-6638
- Publication type
Journal Article
- DOI
10.1002/cncy.21224