Retrosternal Goiter: A couple of classification methods with computed tomograpy findings

Abstract

Objectives: The retrosternal goiter (RSG), which can be defined by different classification and its incidence between 2% and 26% of all thyroidectomized patients, is a thyroid gland disease. Our aim was to classify RSG cases with a couple of different ways, which we have detected in computed tomography (CT) imaging of the thorax.

Methods: In this retrospective study conducted at Kars Harakani State Hospital Pulmonary Medicine Polyclinic between June 2014 and June 2017 in which 176 patients were included. The age, sex, diagnostic codes, retrosternal extension of the thyroid gland (aortic upper arch, aortic reaching arch and aortic inferior arch), extension type (prevascular, paratracheal retrovascular and retrotracheal), extension amount (mm) (<50% and 50%<) of thyroid gland of the patients were assessed.

Results: About 56.25% (n=99) were female and the mean age was 65.9±11.4 years. The most common co-morbid disease in patients with RSG was Chronic Obstructive Pulmonary Disease (COPD) (52.3%). Thirty nine (22.2%) of the patients had associated nodule, 16 (9.1%) had accompanying tracheal pressure and one patient had nodule and tracheal pressure. 27.3% of the patients’ gland’s right lobe and 28.9% of the patients’ left lobe were extended >50% below the thoracic entry. Left thyroid gland’s (90.3%) retrosternal extension and aortic arch spread (91.2%) were more. When classified according to the trachea, the left lobe’s paratracheal and retrovascular extension (50.9%) was more. Extension amounts were similar for both thyroid lobes.

Conclusion: In patients who have retrosternal goiter, goiter spread can be defined with multiple classification with thorax CT.

doi: https://doi.org/10.12669/pjms.346.15932

How to cite this:Perincek G, Avci S, Celtikci P. Retrosternal Goiter: A couple of classification methods with computed tomograpy findings. Pak J Med Sci. 2018;34(6):1494-1497.   doi: https://doi.org/10.12669/pjms.346.15932

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.