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Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report

Fine needle aspiration cytology (FNAC) is the final diagnosis of thyroid nodules before surgery. It is important to further improve the indeterminate FNAC diagnosis results using computerized cytological features. This retrospective cross-sectional study included 240 cases, of whom 110 had histologi...

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Autores principales: Shih, Shyang-Rong, Jan, I-Shiow, Chen, Kuen-Yuan, Chuang, Wan-Yu, Wang, Chih-Yuan, Hsiao, Yung-Lien, Chang, Tien-Chun, Chen, Argon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896131/
https://www.ncbi.nlm.nih.gov/pubmed/31731438
http://dx.doi.org/10.3390/cancers11111645
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author Shih, Shyang-Rong
Jan, I-Shiow
Chen, Kuen-Yuan
Chuang, Wan-Yu
Wang, Chih-Yuan
Hsiao, Yung-Lien
Chang, Tien-Chun
Chen, Argon
author_facet Shih, Shyang-Rong
Jan, I-Shiow
Chen, Kuen-Yuan
Chuang, Wan-Yu
Wang, Chih-Yuan
Hsiao, Yung-Lien
Chang, Tien-Chun
Chen, Argon
author_sort Shih, Shyang-Rong
collection PubMed
description Fine needle aspiration cytology (FNAC) is the final diagnosis of thyroid nodules before surgery. It is important to further improve the indeterminate FNAC diagnosis results using computerized cytological features. This retrospective cross-sectional study included 240 cases, of whom 110 had histologic diagnosis of papillary thyroid cancers (PTC), 100 had nodular/adenomatous goiters/hyperplasia (benign goiters), 10 had follicular/Hurthle cell carcinomas, and 20 had follicular adenomas. Morphological and chromatic features of FNAC were quantified and analyzed. The result showed that six quantified cytological features were found significantly different between patients with a histologic diagnosis of PTC and patients with histologic diagnosis of benign goiters in multivariate analysis. These cytological features were used to estimate the malignancy risk in nodules with indeterminate FNAC results. The Area Under the Receiver Operating Characteristics (AUROC) of the diagnostic accuracy with a benign or malignant nature was 81.3% (p < 0.001), 78.7% (p = 0.014), and 56.8% (p = 0.52) for nodules with FNAC results of atypia, which is suspicious for malignancy and follicular neoplasm, respectively. In conclusion, quantification of cytological features could be used to develop a computer-aided tool for diagnosing PTC in thyroid nodules with indeterminate FNAC results.
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spelling pubmed-68961312019-12-23 Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report Shih, Shyang-Rong Jan, I-Shiow Chen, Kuen-Yuan Chuang, Wan-Yu Wang, Chih-Yuan Hsiao, Yung-Lien Chang, Tien-Chun Chen, Argon Cancers (Basel) Article Fine needle aspiration cytology (FNAC) is the final diagnosis of thyroid nodules before surgery. It is important to further improve the indeterminate FNAC diagnosis results using computerized cytological features. This retrospective cross-sectional study included 240 cases, of whom 110 had histologic diagnosis of papillary thyroid cancers (PTC), 100 had nodular/adenomatous goiters/hyperplasia (benign goiters), 10 had follicular/Hurthle cell carcinomas, and 20 had follicular adenomas. Morphological and chromatic features of FNAC were quantified and analyzed. The result showed that six quantified cytological features were found significantly different between patients with a histologic diagnosis of PTC and patients with histologic diagnosis of benign goiters in multivariate analysis. These cytological features were used to estimate the malignancy risk in nodules with indeterminate FNAC results. The Area Under the Receiver Operating Characteristics (AUROC) of the diagnostic accuracy with a benign or malignant nature was 81.3% (p < 0.001), 78.7% (p = 0.014), and 56.8% (p = 0.52) for nodules with FNAC results of atypia, which is suspicious for malignancy and follicular neoplasm, respectively. In conclusion, quantification of cytological features could be used to develop a computer-aided tool for diagnosing PTC in thyroid nodules with indeterminate FNAC results. MDPI 2019-10-25 /pmc/articles/PMC6896131/ /pubmed/31731438 http://dx.doi.org/10.3390/cancers11111645 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shih, Shyang-Rong
Jan, I-Shiow
Chen, Kuen-Yuan
Chuang, Wan-Yu
Wang, Chih-Yuan
Hsiao, Yung-Lien
Chang, Tien-Chun
Chen, Argon
Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report
title Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report
title_full Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report
title_fullStr Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report
title_full_unstemmed Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report
title_short Computerized Cytological Features for Papillary Thyroid Cancer Diagnosis—Preliminary Report
title_sort computerized cytological features for papillary thyroid cancer diagnosis—preliminary report
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896131/
https://www.ncbi.nlm.nih.gov/pubmed/31731438
http://dx.doi.org/10.3390/cancers11111645
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