False-positive malignant diagnosis of nodule mimicking lesions by computer-aided thyroid nodule analysis in clinical ultrasonography practice

Krisztián Molnár, Endre Kálmán, Zsófia Hári, Omar Giyab, Tamás Gáspár, Károly Rucz, Péter Bogner, Arnold Tóth

Research output: Contribution to journalArticle

Abstract

This study aims to test computer-aided diagnosis (CAD) for thyroid nodules in clinical ultrasonography (US) practice with a focus towards identifying thyroid entities associated with CAD system misdiagnoses. Two-hundred patients referred to thyroid US were prospectively enrolled. An experienced radiologist evaluated the thyroid nodules and saved axial images for further offline blinded analysis using a commercially available CAD system. To represent clinical practice, not only true nodules, but mimicking lesions were also included. Fine needle aspiration biopsy (FNAB) was performed according to present guidelines. US features and thyroid entities significantly associated with CAD system misdiagnosis were identified along with the diagnostic accuracy of the radiologist and the CAD system. Diagnostic specificity regarding the radiologist was significantly (p < 0.05) higher than when compared with the CAD system (88.1% vs. 40.5%) while no significant difference was found in the sensitivity (88.6% vs. 80%). Focal inhomogeneities and true nodules in thyroiditis, nodules with coarse calcification and inspissated colloid cystic nodules were significantly (p < 0.05) associated with CAD system misdiagnosis as false-positives. The commercially available CAD system is promising when used to exclude thyroid malignancies, however, it currently may not be able to reduce unnecessary FNABs, mainly due to the false-positive diagnoses of nodule mimicking lesions.

Original languageEnglish
Article number378
JournalDiagnostics
Volume10
Issue number6
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Computer-assisted diagnosis
  • Diagnostic errors
  • Thyroid cancer
  • Thyroid nodule
  • Ultrasonography

ASJC Scopus subject areas

  • Clinical Biochemistry

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