Comparison between Sonographic Features and Fine Needle Aspiration Cytology with Histopathology in the Diagnosis of Solitary Thyroid Nodule.

Fine needle aspiration cytology TIRADS histopathology thyroid swelling

Journal

Indian journal of endocrinology and metabolism
ISSN: 2230-8210
Titre abrégé: Indian J Endocrinol Metab
Pays: India
ID NLM: 101555690

Informations de publication

Date de publication:
Historique:
received: 08 06 2020
revised: 26 06 2020
accepted: 11 07 2020
entrez: 22 10 2020
pubmed: 23 10 2020
medline: 23 10 2020
Statut: ppublish

Résumé

High resolution ultrasonography (USG) is the first-line investigation in evaluation of euthyroid nodules. Thyroid imaging reporting and data system (TIRADS) is an USG-based risk stratification system for classifying thyroid nodules. Subjects with high-risk category of TIRADS undergo fine needle aspiration cytology (FNAC) and FNAC findings are reported according to Bethesda classification. Bethesda categories are used for determining risk of malignancy. Data regarding sonographic classification of thyroid nodule and its cytological association with respect to final histopathological diagnosis remains scarcely available in India. The study evaluated euthyroid nodules for risk of malignancy and compared sonographic features and FNAC (Bethesda classification) findings with histopathology of excised samples. This was a single-center observational study on 137 consecutive subjects of solitary euthyroid nodule. All subjects underwent USG according to TIRADS and FNAC where applicable. Surgical biopsy report was used as a gold standard. The sensitivity, specificity, accuracy, positive predictive and negative predictive value of FNAC were 80%, 90%, 85%, 86%, and 86.6% and TIRADS were 80%, 47.2% 61%, 51.3%, and 77.3%, respectively. FNAC classification was equally sensitive and more specific than TIRADS. Among individual USG parameters, micro-calcification was most sensitive (80%) and specific (86%). Irregular margin and taller-than-wider shape had a specificity of 89% and 92%, respectively. 3 patients (14.28%) with benign cytology and suspicious USG features (specifically TIRADS 4 & 5) undergoing surgery had malignancy in final HPE. USG and FNAC are equally sensitive in diagnosing malignant thyroid nodule but FNA is more specific (90%). It's a minimally invasive method which can be used to distinguish malignant from benign lesions with a high degree of accuracy (85%). In patient having high risk feature on USG, a benign cytology needs to be repeat FNAC and they should undergo surgical biopsy for confirmation.

Sections du résumé

BACKGROUND BACKGROUND
High resolution ultrasonography (USG) is the first-line investigation in evaluation of euthyroid nodules. Thyroid imaging reporting and data system (TIRADS) is an USG-based risk stratification system for classifying thyroid nodules. Subjects with high-risk category of TIRADS undergo fine needle aspiration cytology (FNAC) and FNAC findings are reported according to Bethesda classification. Bethesda categories are used for determining risk of malignancy. Data regarding sonographic classification of thyroid nodule and its cytological association with respect to final histopathological diagnosis remains scarcely available in India.
AIMS AND OBJECTIVE OBJECTIVE
The study evaluated euthyroid nodules for risk of malignancy and compared sonographic features and FNAC (Bethesda classification) findings with histopathology of excised samples.
MATERIAL AND METHODS METHODS
This was a single-center observational study on 137 consecutive subjects of solitary euthyroid nodule. All subjects underwent USG according to TIRADS and FNAC where applicable. Surgical biopsy report was used as a gold standard.
RESULTS RESULTS
The sensitivity, specificity, accuracy, positive predictive and negative predictive value of FNAC were 80%, 90%, 85%, 86%, and 86.6% and TIRADS were 80%, 47.2% 61%, 51.3%, and 77.3%, respectively. FNAC classification was equally sensitive and more specific than TIRADS. Among individual USG parameters, micro-calcification was most sensitive (80%) and specific (86%). Irregular margin and taller-than-wider shape had a specificity of 89% and 92%, respectively. 3 patients (14.28%) with benign cytology and suspicious USG features (specifically TIRADS 4 & 5) undergoing surgery had malignancy in final HPE.
CONCLUSIONS CONCLUSIONS
USG and FNAC are equally sensitive in diagnosing malignant thyroid nodule but FNA is more specific (90%). It's a minimally invasive method which can be used to distinguish malignant from benign lesions with a high degree of accuracy (85%). In patient having high risk feature on USG, a benign cytology needs to be repeat FNAC and they should undergo surgical biopsy for confirmation.

Identifiants

pubmed: 33088759
doi: 10.4103/ijem.IJEM_349_20
pii: IJEM-24-349
pmc: PMC7540823
doi:

Types de publication

Journal Article

Langues

eng

Pagination

349-354

Informations de copyright

Copyright: © 2020 Indian Journal of Endocrinology and Metabolism.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

Références

N Engl J Med. 2004 Oct 21;351(17):1764-71
pubmed: 15496625
Radiology. 2015 Aug;276(2):579-87
pubmed: 25848904
Radiology. 2011 Sep;260(3):892-9
pubmed: 21771959
Ann Intern Med. 1997 Feb 1;126(3):226-31
pubmed: 9027275
Endocrinol Metab Clin North Am. 2007 Sep;36(3):707-35, vi
pubmed: 17673125
J Clin Endocrinol Metab. 2009 May;94(5):1748-51
pubmed: 19276237
J Am Coll Radiol. 2018 Mar;15(3 Pt A):381-382
pubmed: 29396195
Thyroid. 2009 Nov;19(11):1167-214
pubmed: 19860577
J Clin Imaging Sci. 2016 Feb 26;6:5
pubmed: 27014501
Endocrine. 2016 Sep;53(3):651-61
pubmed: 27071659
Future Oncol. 2010 Nov;6(11):1771-9
pubmed: 21142662
N Engl J Med. 1993 Feb 25;328(8):553-9
pubmed: 8426623
BMC Endocr Disord. 2019 Oct 29;19(1):112
pubmed: 31664992

Auteurs

Debanu De (D)

Department of Radiodiagnosis, IPGME&R, Kolkata, West Bengal, India.

Susmita Dutta (S)

Department of Radiodiagnosis, IPGME&R, Kolkata, West Bengal, India.

Soham Tarafdar (S)

Department of Endocrinology and R.G. KAR Medical College, Kolkata, West Bengal, India.

Suvrendu S Kar (SS)

Department of Medicine, R.G. KAR Medical College, Kolkata, West Bengal, India.

Utpalendu Das (U)

Department of Radiodiagnosis, IPGME&R, Kolkata, West Bengal, India.

Keya Basu (K)

Department of Pathology, IPGME&R, R.G. KAR Medical College, Kolkata, West Bengal, India.

Pradip Mukhopadhyay (P)

Department of Endocrinology and R.G. KAR Medical College, Kolkata, West Bengal, India.

Sujoy Ghosh (S)

Department of Endocrinology and R.G. KAR Medical College, Kolkata, West Bengal, India.

Classifications MeSH