False-Positive Malignant Diagnosis of Nodule Mimicking Lesions by Computer-Aided Thyroid Nodule Analysis in Clinical Ultrasonography Practice.

computer-assisted diagnosis diagnostic errors thyroid cancer thyroid nodule ultrasonography

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
06 Jun 2020
Historique:
received: 13 05 2020
revised: 03 06 2020
accepted: 04 06 2020
entrez: 11 6 2020
pubmed: 11 6 2020
medline: 11 6 2020
Statut: epublish

Résumé

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 (

Identifiants

pubmed: 32517227
pii: diagnostics10060378
doi: 10.3390/diagnostics10060378
pmc: PMC7345888
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary
ID : Framework 5.

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Auteurs

Krisztián Molnár (K)

Department of Diagnostic Imaging, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Endre Kálmán (E)

Department of Pathology, University of Pécs Medical School, Szigeti Út 12, 7643 Pécs, Hungary.

Zsófia Hári (Z)

Department of Diagnostic Imaging, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Omar Giyab (O)

Department of Diagnostic Imaging, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Tamás Gáspár (T)

Department of Diagnostic Imaging, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Károly Rucz (K)

1st Department of Medicine, Division of Endocrinology, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Péter Bogner (P)

Department of Diagnostic Imaging, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Arnold Tóth (A)

Department of Diagnostic Imaging, University of Pécs Medical School, Ifjúság út 13, 7624 Pécs, Hungary.

Classifications MeSH