Evidence map›Paper›PMID 38854328›Full record

ArticleCureus2024

Evaluation of the Efficacy of Thyroid Imaging Reporting and Data Systems Classification in Risk Stratification and in the Management of Thyroid Swelling by Comparing It With Fine-Needle Aspiration Cytology and Histopathological Examination.

Abhishek K Saw, Zenith H Kerketta, Khushboo Rani, Krishna Murari, Kritika Srivastava, Ajay Kumar, Sunny Lnu, Anish Baxla, Nabu Kumar, Nusrat Noor

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Abhishek K SawGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Zenith H KerkettaGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Khushboo RaniGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Krishna MurariGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Kritika SrivastavaObstetrics and Gynaecology, Rajendra Institute of Medical Sciences, Ranchi, IND.
Ajay KumarTrauma Surgery & Critical Care, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Sunny LnuGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Anish BaxlaGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Nabu KumarGeneral Surgery, Rajendra Institute of Medical Sciences, Ranchi, IND.
Nusrat NoorGeneral Practice, Clinica Cure Hospital, Ranchi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid nodules are a common clinical challenge, with a significant proportion being cancerous. Fine-needle aspiration cytology (FNAC) is widely used for diagnosis but has limitations. Ultrasound has emerged as a promising tool for distinguishing between benign and malignant nodules. This study aims to compare the diagnostic accuracy of ultrasonography (USG) and FNAC in diagnosing malignant thyroid swelling using postoperative histopathological examinations as the gold standard.

methodA diagnostic accuracy study was conducted over 1.5 years at Rajendra Institute of Medical Sciences, Ranchi, India. A total of 132 patients with thyroid swellings were included. Patients underwent USG and FNAC, and 99 patients subsequently underwent surgery and histopathological examination. Statistical analysis was performed to evaluate the performance of USG and FNAC, including sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV).

resultsThe study encompassed 132 patients, predominantly 94 (71.21%) females. Most patients, i.e., 76 out of 132 (57.58%), were aged 30-50 years, with an average age of presentation at 41 years. Socioeconomic status revealed 120 (90.9%) belonging to Classes II and III. USG and FNAC exhibited sensitivities of 77.4% and 90.3%, specificities of 94.1% and 98.5%, and accuracies of 88.9% and 96.0%, respectively. FNAC demonstrated superior diagnostic performance metrics compared to USG, with higher PPV and NPV, indicating its stronger ability to correctly identify true-positive cases. Ultrasound features and FNAC findings showed significant associations with biopsy results, reaffirming their utility in diagnosing thyroid nodules.

conclusionFNAC emerged as a highly accurate diagnostic tool for distinguishing between benign and malignant thyroid nodules, outperforming USG. Understanding demographic and clinical characteristics can aid in the timely diagnosis and management of thyroid disorders. Further research is warranted to enhance diagnostic algorithms and optimize patient care in resource-constrained settings.

Indexed as

bethesda scoringbiopsyfine-needle aspiration cytology (fnac)thyroid disorderstirads scoringultrasound

Identifiers

PMID38854328
PMCPMC11162270

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