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NCT Number: NCT06782828

Accuracy of FNAC in Diagnosis of Thyroid Nodules

Detection of degree of accuracy of FNAC in diagnosis of thyroid nodules

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Key information

Age range

10 year–80 year

Sex eligibility

All sexes

Study type

Observational

About this study

Accuracy in diagnosis in any case is required, and this is beneficial to the patient and the physician, and with the development that currently exists and the trend to use less invasive techniques, accuracy of FNAC should be studied well.1.Thyroid nodules are common and the principal method of diagnosis is fine-needle aspiration cytology (FNAC).2. Can investigators depend on FNAC alone in diagnosis of thyroid nodule in the future?!3. In this study, investigators will compare the results of (FNAC) versus (Biopsy) in diagnosis of thyroid nodule in AUH , to detect the degree of accuracy of FNAC.4. FNAC is a simple, safe, cost-effective and accurate diagnostic tool for the initial screening of patients with thyroid nodules.5. Background Routine application of fine needle aspiration cytology (FNAC) has decreased unnecessary referral of thyroid nodules for surgical treatment and has also increased the cancer rates found in surgery materials. Success of thyroid FNAC depends on skilled aspiration, skilled cytological interpretation and rational analysis of cytological and clinical data. The aim of this study was to determine the diagnostic accuracy rates of thyroid FNAC results obtained in our hospital.6. The FNAC is a sensitive, specific, and accurate initial diagnostic test for the preoperative evaluation of patients with thyroid swellings in our setting as well. The correlation of cytological and histopathological diagnoses is an important quality assurance method, as it allows cytopathologists to calculate their false-positive and false negative results.7

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • thyroid disease
  • multinodular
  • single nodule
  • TIRAD 3 or more by US
  • thyroid disease underwent FNAC then surgery
  • all age groups
  • patient fit for surgery

Exclusion criteria

  • patients with comorbidities.
  • patients unfit for surgery
  • patients who refused surgery.
  • Patient with no diagnostic FNAC.

Treatment and study plan

observe results of FNAC

Other

observe results of FNAC and compare it with results of histopathological examination to detect accuracy of FNAC in diagnosis of thyroid nodules.

Primary outcomes

  1. Incidence of true positive results of FNAC after thyroidectomy

    Time frame: 12 days

    Accuracy of FNAC in thyroid nodules compared to surgical specimen histopathological examination

  2. Percentage of malignant thyroid nodules not observed by FNAC

    Time frame: 12 days

    Percentage of malignant thyroid nodules that FNAC fails to detect

  3. Incidence of false negative results by FNAC

    Time frame: 12 days

    False negative that diagnosed by FNAC not malignant but proved malignancy after surgical excision

  4. Percentage of total number of true results of FNAC to the total number of cases

    Time frame: 12 days

    Accuracy of FNAC

Study contacts

Contact information is provided by the study sponsor or research team.

Mostafa Abed Abdulmoneim Mohammed

CONTACT

[email protected]

01142799359

Sponsors and collaborators

Lead sponsor

Assiut University

Other

Registry information

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Jan 20, 2025
Registry last updated
Jan 20, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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