Reliability of a computer-aided system in the evaluation of indeterminate ultrasound images of thyroid nodules
Reverter, Jordi L. (Universitat Autònoma de Barcelona. Departament de Medicina)
Ferrer Estopiñan, Laura (Universitat Autònoma de Barcelona. Departament de Medicina)
Vázquez, Federico (Universitat Autònoma de Barcelona. Departament de Medicina)
Ballesta Purroy, Sílvia (Universitat Autònoma de Barcelona. Departament de Medicina)
Batule, Sol (Universitat Autònoma de Barcelona. Departament de Medicina)
Pérez-Montes de Oca, Alejandra (Universitat Autònoma de Barcelona. Departament de Medicina)
Puig-Jové, Carlos (Universitat Autònoma de Barcelona. Departament de Medicina)
Puig Domingo, Manuel (Universitat Autònoma de Barcelona. Departament de Medicina)

Data:	2021
Resum:	Computer-aided diagnostic (CAD) programs for malignancy risk stratification from ultrasound (US) imaging of thyroid nodules are being validated both experimentally and in real-world practice. However, they have not been tested for reliability in analyzing difficult or unclear images. US images with indeterminate characteristics were evaluated by five observers with different experience in US examination and by a commercial CAD program. The nodules, on which the observers widely agreed, were considered concordant and, if there was little agreement, not concordant or difficult to assess. The diagnostic performance of the readers and the CAD program was calculated and compared in both groups of nodule images. In the group of concordant thyroid nodules (n = 37), the clinicians and the CAD system obtained similar levels of accuracy (77. 0% vs 74. 2%, respectively; P = 0. 7) and no differences were found in sensitivity (SEN) (95. 0% vs 87. 5%, P = 0. 2), specificity (SPE) (45. 5 vs 49. 4, respectively; P = 0. 7), positive predictive value (PPV) (75. 2% vs 77. 7%, respectively; P = 0. 8), nor negative predictive value (NPV) (85. 6 vs 77. 7, respectively; P = 0. 3). When analyzing the non-concordant nodules (n = 43), the CAD system presented a decrease in accuracy of 4. 2%, which was significantly lower than that observed by the experts (19. 9%, P = 0. 02). Clinical observers are similar to the CAD system in the US assessment of the risk of thyroid nodules. However, the AI system for thyroid nodules AmCAD-UT ® showed more reliability in the analysis of unclear or misleading images.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	CAD system ; Risk classification ; Thyroid nodules
Publicat a:	European Thyroid Journal, Vol. 11 (september 2021) , ISSN 2235-0802

DOI: 10.1530/ETJ-21-0023
PMID: 34981749

7 p, 2.5 MB

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