For their study, Gu and colleagues from the University of Jinan in China, enrolled 103 patients with suspected thyroid nodules who had received thyroidectomy and IHC analysis from January 2013 to 2016. All patients underwent CT imaging prior to surgery and 3D Slicer v 4.8.1 was used to analyze the images of the sample taken from surgery.
The team chose four target IHC markers for their model: cytokeratin 19, galectin 3, thyroperoxidase, and high-molecular-weight cytokeratin. They used the Kruskal-Wallis test to improve the classification performance of the model which was built from 86 reproducible and nonredundant features.
Overall, the best performing cytokeratin 19 model achieved an 84.4% accuracy in the training cohort and 80% in the validation cohort. The thyroperoxidase and galectin 3 predictive models yielded accuracies of 81.4% and 82.5% in the training cohort and 84.2% and 85.0% in the validation cohort, respectively.
Credit: Google News