TITLE:
Pathological and Clinical Correlation European Union-Thyroid Imaging Reporting and Data System (EU-TIRADS) Classification of Thyroid Nodules in Two University Hospitals in Cotonou
AUTHORS:
Annelie Kerekou Hode, Hubert Dedjan, Fréjus Alamou
KEYWORDS:
Thyroid Nodules, EU-TIRADS Classification, Malignancy
JOURNAL NAME:
Open Journal of Endocrine and Metabolic Diseases,
Vol.14 No.2,
January
31,
2024
ABSTRACT: Introduction: Since its creation in 2017 by the
European community, the EU-TIRADS classification has enjoyed an excellent
reputation in several countries around the world. Indeed, several studies
conducted in these countries testify to the effectiveness of this tool for the
management of nodular thyroid pathology. However, in Benin, the contribution of
this classification has not yet been evaluated. It is therefore to overcome
this inadequacy that we undertook this study. Objective: Participate in
improving the diagnostic and therapeutic management of thyroid nodules at the
CNHU HKM in Cotonou and at the CHUZ in Suru-Léré. Methods: This is a
cross-sectional study with retrospective data collection spread over a period
of 3 years 5 months, from January 2019 to May 2022 and carried out jointly in
the Endocrinology Metabolism Nutrition and ORL-CCF departments of the CNHU HKM
of Cotonou and in the ORL-CCF department of the CHUZ of Suru-Léré. The study
population consisted of patients who
consulted the University Clinic of Endocrinology Metabolism Nutrition, the
University Clinic of ORL-CCF of the CNHU-HKM and the University Clinic
of ORL-CCF of the CHUZ of Suru-Léré for thyroid nodule and who have had
surgery. The study data was collected from patients hospitalization records
using a survey form. Results: On ultrasound, according to the EU-TIRADS classification, 56.8% of nodules presented a low
risk of malignancy (EU-TIRADS 3) compared to respectively 19.8%; 23% and
2.5% of nodules with zero (EU-TIRADS 2), intermediate (EU-TIRADS 4) and high
(EU-TIRADS 5) risk of malignancy. Regarding the performance of this
classification, it is sensitive in 37.5% of cases and has a specificity of
78.5% with a PPV (Positive Predictive Value)
and a NPV (Negative Predictive Value) respectively of 6.6 % and 91.6%.
Furthermore, the bivariate correlations revealed that the size of the nodule
was significantly associated with the malignancy of the nodule (p = 0.014) and
the calculated value of the Yule’s Q coefficient (0.375) reflects a moderate
intensity of the connection between the EU-TIRADS and histology. Conclusion:
the EU-TIRADS classification, due to its excellent NPV, is of great interest
for the management of thyroid nodules at the CNHU-HKM of Cotonou and at the
CHUZ of Suru-Léré. In view of this, particular emphasis must be placed on its
regular and rigorous use.