Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder

Purpose. Several commercial tests have been used for the classification of indeterminate thyroid nodules in cytology. However, the geographic inconvenience and high cost confine their widespread use. This study aims to develop a classifier for conveniently clinical utility. Methods. Gene expression...

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Bibliographic Details
Published in:International journal of endocrinology Vol. 2020; no. 2020; pp. 1 - 8
Main Authors: Yang, Peixuan, Wei, Chiju, Zhang, Lili, Yang, Kaiji, Li, Zexin, Xu, Wencan
Format: Journal Article
Language:English
Published: Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
John Wiley & Sons, Inc
Wiley
Subjects:
Corruption
Datasets
Endocrinology
Gene expression
Genes
Genomes
Neural networks
Pathology
Sparsity
Thyroid cancer
Thyroid diseases
Maryland
ISSN:1687-8337, 1687-8345
Online Access:Get full text
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Summary:Purpose. Several commercial tests have been used for the classification of indeterminate thyroid nodules in cytology. However, the geographic inconvenience and high cost confine their widespread use. This study aims to develop a classifier for conveniently clinical utility. Methods. Gene expression data of thyroid nodule tissues were collected from three public databases. Immune-related genes were used to construct the classifier with stacked denoising sparse autoencoder. Results. The classifier performed well in discriminating malignant and benign thyroid nodules, with an area under the curve of 0.785 [0.638–0.931], accuracy of 92.9% [92.7–93.0%], sensitivity of 98.6% [95.9–101.3%], specificity of 58.3% [30.4–86.2%], positive likelihood ratio of 2.367 [1.211–4.625], and negative likelihood ratio of 0.024 [0.003–0.177]. In the cancer prevalence range of 20–40% for indeterminate thyroid nodules in cytology, the range of negative predictive value of this classifier was 37–61%, and the range of positive predictive value was 98–99%. Conclusion. The classifier developed in this study has the superb discriminative ability for thyroid nodules. However, it needs validation in cytologically indeterminate thyroid nodules before clinical use.
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Academic Editor: Alexander Schreiber
ISSN:1687-8337
1687-8345
DOI:10.1155/2020/9015713