Thyroid sonography as an effective tool to discriminate between euthyroid sick and hypothyroid dogs

Reese, Sven ; Breyer, Ulrike; Deeg, Cornelia A.; Kraft, Wilfried und Kaspers, Bernd (2005): Thyroid sonography as an effective tool to discriminate between euthyroid sick and hypothyroid dogs. In: Journal of veterinary internal medicine, Bd. 19, Nr. 4: S. 491-498

Abstract

The diagnosis of canine hypothyroidism and its differentiation from euthyroid sick syndrome still is a major diagnostic challenge. In this study, ultrasonography was shown to be an effective tool for the investigation of thyroid gland diseases. Healthy control dogs (n = 87), dogs with euthyroid sick syndrome (n = 26), thyroglobulin autoantibody-positive (TgAA-positive, n = 30) hypothyroid dogs, and TgAA-negative (n = 23) hypothyroid dogs were examined by thyroid ultrasonography. Maximal cross sectional area (MCSA), thyroid volume, and echogenicity were measured. Statistical analysis identified highly significant (P < .001) differences between euthyroid and hypothyroid dogs both in thyroid volume and in MCSA, whereas no significant differences in thyroid size were detected between healthy euthyroid dogs and dogs with euthyroid sick syndrome. In euthyroid and euthyroid sick dogs, parenchymal echotexture was homogeneous and hyperechoic, whereas relative thyroid echogenicity of both TgAA-positive and TgAA-negative hypothyroid dogs was significantly lower (P < .001). When using arbitrarily chosen cutoff values for relative thyroid volume, MCSA, and echogenicity, thyroid volume especially was found to have highly specific predictive value for canine hypothyroidism. In summary, the data reveal that thyroid sonography is an effective ancillary diagnostic tool to differentiate between canine hypothyroidism and euthyroid sick syndrome.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Tiermedizin > Veterinärwissenschaftliches Department > Lehrstuhl für Anatomie, Histologie und Embryologie ; Tiermedizin > Veterinärwissenschaftliches Department > Lehrstuhl für Physiologie
• Themengebiete: 500 Naturwissenschaften und Mathematik > 590 Tiere (Zoologie)
• ISSN: 0891-6640
• Sprache: Englisch