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Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda

BACKGROUND: Ultrasonography is a noninvasive modality for the initial assessment of thyroid nodules. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) has demonstrated good performance in differentiating malignant thyroid nodules. However, the combination of A...

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Autores principales: Isse, Hamdi Mohamed, Lukande, Robert, Sereke, Senai Goitom, Odubu, Fualal Jane, Nassanga, Rita, Bugeza, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472606/
https://www.ncbi.nlm.nih.gov/pubmed/37653537
http://dx.doi.org/10.1186/s13044-023-00169-1
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author Isse, Hamdi Mohamed
Lukande, Robert
Sereke, Senai Goitom
Odubu, Fualal Jane
Nassanga, Rita
Bugeza, Samuel
author_facet Isse, Hamdi Mohamed
Lukande, Robert
Sereke, Senai Goitom
Odubu, Fualal Jane
Nassanga, Rita
Bugeza, Samuel
author_sort Isse, Hamdi Mohamed
collection PubMed
description BACKGROUND: Ultrasonography is a noninvasive modality for the initial assessment of thyroid nodules. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) has demonstrated good performance in differentiating malignant thyroid nodules. However, the combination of ACR TI-RADS categories and cytology has not been studied extensively, in Uganda. The study aims to correlate ACR TI-RADS with cytology among patients referred for US-guided fine-needle aspiration at Mulago National Referral Hospital. METHODS: This was a hospital-based cross-sectional study that recruited 132 patients with thyroid nodules. Spearman’s correlation was used to establish a relationship between TI-RADS and cytology findings. The diagnostic accuracy of TI-RADS was assessed using sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. RESULTS: Of 132 study participants, 90% (n = 117) were females, and the mean age was 41 ± 13 years. One hundred sixty-one thyroid nodules were analyzed. More than half of the thyroid nodules (54.7%, n = 87) were solid or almost solid, 96.9% (n = 154) were shaped wider than tall, 57.2% (n = 91) had smooth margins, 83.7% (n = 133) were hyperechoic or isoechoic, and 88.7% (n = 141) had no echogenic foci. TI-RADS 3 was the most common at 42.9% (n = 69). The proportions of malignancy for TI-RADS 4 and TI-RADS 5 were 73.3% and 85.7%, respectively. The correlation between ACR TI-RADS and the Bethesda system of thyroid classification scores was r = 0.577. The sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios of ACR TI-RADS were 90.9%, 98.5%, 90%, 99.3%, 62.3, and 0.1, respectively. CONCLUSION: We found that ACR TI-RADS classification is an appropriate and noninvasive method for assessing thyroid nodules in routine practice. It can safely reduce the number of unnecessary fine-needle aspiration in a significant proportion of benign thyroid lesions. Thyroid nodules classified as TI-RADS 3 should be followed routinely. ACR TI-RADS should be standardized as the screening tool in resource-limited areas.
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spelling pubmed-104726062023-09-02 Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda Isse, Hamdi Mohamed Lukande, Robert Sereke, Senai Goitom Odubu, Fualal Jane Nassanga, Rita Bugeza, Samuel Thyroid Res Research BACKGROUND: Ultrasonography is a noninvasive modality for the initial assessment of thyroid nodules. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) has demonstrated good performance in differentiating malignant thyroid nodules. However, the combination of ACR TI-RADS categories and cytology has not been studied extensively, in Uganda. The study aims to correlate ACR TI-RADS with cytology among patients referred for US-guided fine-needle aspiration at Mulago National Referral Hospital. METHODS: This was a hospital-based cross-sectional study that recruited 132 patients with thyroid nodules. Spearman’s correlation was used to establish a relationship between TI-RADS and cytology findings. The diagnostic accuracy of TI-RADS was assessed using sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. RESULTS: Of 132 study participants, 90% (n = 117) were females, and the mean age was 41 ± 13 years. One hundred sixty-one thyroid nodules were analyzed. More than half of the thyroid nodules (54.7%, n = 87) were solid or almost solid, 96.9% (n = 154) were shaped wider than tall, 57.2% (n = 91) had smooth margins, 83.7% (n = 133) were hyperechoic or isoechoic, and 88.7% (n = 141) had no echogenic foci. TI-RADS 3 was the most common at 42.9% (n = 69). The proportions of malignancy for TI-RADS 4 and TI-RADS 5 were 73.3% and 85.7%, respectively. The correlation between ACR TI-RADS and the Bethesda system of thyroid classification scores was r = 0.577. The sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios of ACR TI-RADS were 90.9%, 98.5%, 90%, 99.3%, 62.3, and 0.1, respectively. CONCLUSION: We found that ACR TI-RADS classification is an appropriate and noninvasive method for assessing thyroid nodules in routine practice. It can safely reduce the number of unnecessary fine-needle aspiration in a significant proportion of benign thyroid lesions. Thyroid nodules classified as TI-RADS 3 should be followed routinely. ACR TI-RADS should be standardized as the screening tool in resource-limited areas. BioMed Central 2023-09-01 /pmc/articles/PMC10472606/ /pubmed/37653537 http://dx.doi.org/10.1186/s13044-023-00169-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Isse, Hamdi Mohamed
Lukande, Robert
Sereke, Senai Goitom
Odubu, Fualal Jane
Nassanga, Rita
Bugeza, Samuel
Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda
title Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda
title_full Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda
title_fullStr Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda
title_full_unstemmed Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda
title_short Correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in Uganda
title_sort correlation of the ultrasound thyroid imaging reporting and data system with cytology findings among patients in uganda
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472606/
https://www.ncbi.nlm.nih.gov/pubmed/37653537
http://dx.doi.org/10.1186/s13044-023-00169-1
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