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Spatial spectral imaging as an adjunct to the Bethesda classification of thyroid fine-needle aspiration specimens
Cancer Cytopathology, 07/31/2012
Hahn LD et al. – The authors developed image classification tests that distinguish between FNAs of papillary thyroid carcinoma (PTC) and benign goiter (BG), demonstrating the potential value of spatial spectral imaging as an adjunct test for the classification of thyroid fine–needle aspiration (FNA) samples. The data support prospective testing to determine the value of the PTC/BG classifier in routine clinical use.
Methods- A multispectral camera was used to capture spectral images representing 100 cases of PTC and BG.
- Used in conjunction with commercial software, 10 cases were used as a training set to develop a “classifier,” a classification algorithm that segments digitized multispectral images into regions of PTC, BG, and “nonfeature.”
- This algorithm was used to generate a screening test and a diagnostic test that were validated on an independent set of images representing 30 cases of PTC and 30 cases of BG.
- The area under the receiver operating characteristic for the PTC/BG classifier was 0.90.
- The screening test had a sensitivity of 0.93 and a specificity of 0.73. The diagnostic test had a sensitivity of 0.70 and a specificity of 0.90.
