Reducing unnecessary thyroid fine needle aspirations using American College of Radiology's thyroid imaging reporting and data system : A 5‐year retrospective audit

Sonography ◽  
2021 ◽  
Author(s):  
Christopher Hayes ◽  
Yasmin Shvarts ◽  
Randhir Sewgolam ◽  
Tri Nguyen ◽  
Simon Ussher
Keyword(s):  
Data System ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
System A ◽  
Retrospective Audit

scholarly journals Correlation of Thyroid Imaging Reporting and Data System [TI-RADS] and fine needle aspiration: experience in 1,000 nodules

2016 ◽  
Vol 14 (2) ◽  
pp. 119-123 ◽  
Author(s):  
Antonio Rahal Junior ◽  
Priscila Mina Falsarella ◽  
Rafael Dahmer Rocha ◽  
João Paulo Bacellar Costa Lima ◽  
Matheus Jorge Iani ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Fine Needle Aspiration ◽  
Thyroid Nodules ◽  
Needle Aspiration ◽  
Data System ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Bethesda System ◽  
Bethesda Classification ◽  
The Bethesda System

ABSTRACT Objective To correlate the Thyroid Imaging Reporting and Data System (TI-RADS) and the Bethesda system in reporting cytopathology in 1,000 thyroid nodules. Methods A retrospective study conducted from November 2011 to February 2014 that evaluated 1,000 thyroid nodules of 906 patients who underwent ultrasound exam and fine needle aspiration. Results A significant association was found between the TI-RADS outcome and Bethesda classification (p<0.001). Most individuals with TI-RADS 2 or 3 had Bethesda 2 result (95.5% and 92.5%, respectively). Among those classified as TI-RADS 4C and 5, most presented Bethesda 6 (68.2% and 91.3%, respectively; p<0.001). The proportion of malignancies among TI-RADS 2 was 0.8%, and TI-RADS 3 was 1.7%. Among those classified as TI-RADS 4A, proportion of malignancies was 16.0%, 43.2% in 4B, 72.7% in 4C and 91.3% among TI-RADS 5 (p<0.001), showing clear association between TI-RADS and biopsy results. Conclusion The TI-RADS is appropriate to assess thyroid nodules and avoid unnecessary fine needle aspiration, as well as to assist in making decision about when this procedure should be performed.

scholarly journals Accuracy of fine needle aspiration cytology and thyroid imaging reporting and data system to predict the nature of nodular goiter and its comparison with postoperative histology

2020 ◽  
Vol 7 (8) ◽  
pp. 2674
Author(s):  
Pratha Anantha Ramani ◽  
Ginni Vijay Sainath Reddy ◽  
Changala Glen Christopher ◽  
Chevuri Babu ◽  
Atla Bhagyalakshmi ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Fine Needle Aspiration ◽  
Fine Needle Aspiration Cytology ◽  
Needle Aspiration ◽  
Data System ◽  
Aspiration Cytology ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Needle Aspiration Cytology ◽  
Cytology Report

Background: Aim of the study was to find accuracy of pre-operative fine needle aspiration cytology (FNAC) and thyroid imaging reporting and data system (TIRADS) in predicting the nature of nodular goitre and confirming it with post-operative biopsy. Objective of the study was to assess the sensitivity and specificity of FNAC compared with post-operative biopsy and to assess the sensitivity and specificity of TIRADS compared with post-operative biopsy.Methods: This retrospective study was carried out at tertiary hospital, King George Hospital, Visakhapatnam over a period of 1 year from march 2018 to march 2019. Sensitivity and specificity are calculated based on formulae.Results: Sample size calculated with 90% confidence interval for population of vizag is 96, a sample of 100 patients were taken in this study. Of the 100 cases, 16 had thyroid carcinoma. 15 of them were papillary carcinoma and 1 follicular carcinoma. 8 cases matched with cytology report after post op biopsy and 8 we mismatched with cytology report after post op biopsy. The incidence of malignancy in clinically and cytologically benign goitre is 8.69. In our study sensitivity of FNAC is 50%, specificity is 100% and accuracy of test is 92% and TIRADS has a sensitivity of 100% and specificity of 72.62% and an accuracy of 77%.Conclusions: The current study has showed the disparity we see in thyroid neoplasms in FNAC test and TIRADS, which were proved to be different diagnosis in clinical and histopathology, so even if cytology is benign, we can’t rule out malignancy. FNAC and TIRADS combined have more sensitivity and specificity than individual tests.

A Comparison of Different Thyroid Imaging Reporting and Data Systems to Reduce Unnecessary FNAs and Missed Malignancies

2021 ◽  
pp. 875647932110550
Author(s):  
Ehsan Seif ◽  
Mostafa Qorbani ◽  
Shaghayegh Mousavi ◽  
Ali Salahshoor
Keyword(s):  
Artificial Intelligence ◽  
Thyroid Nodules ◽  
Scoring Systems ◽  
Data System ◽  
Data Systems ◽  
Fine Needle ◽  
Conservative Method ◽  
Thyroid Imaging ◽  
The Eu

Objective: The Thyroid Imaging Reporting and Data System (TIRADS) has been proposed to reduce the number of unnecessary fine needle aspirations (FNA) from thyroid nodules. Materials and Methods: An individual radiologist provided sonographic examinations and FNA on a collection of 188 thyroid nodules. The recommendations based on the TIRADS system, for each nodule, was determined and evaluated against the cytology results. Results: The American College of Radiology (ACR), artificial intelligence (AI), European (EU), and Korean (K) scoring systems reduced FNAs by 53%, 56%, 48%, and 28%, respectively. Among those lesions without a recommendation for immediate FNA, The ACR would have missed four malignant nodules, the AI would have missed four malignant nodules, and K TIRADS would have missed three malignant nodules but with a recommended follow-up imaging. The ACR would have missed three malignant nodules, the AI would have missed four malignant nodules, and EU TIRADS would have missed four malignant nodules, without a recommended follow-up examination. The highest and lowest kappa interrelated agreements were between ACR and AI (0.902) and AI and K (0.448). Conclusion: The ACR and AI TIRADS could substantially decrease the number of FNAs but rely on follow-up imaging. The EU TIRADS reduced the number of FNAs, the least however this system had less dependence on follow-up imaging. The K TIRADS was the most conservative method and the least dependent on follow-up diagnostics.

scholarly journals Diagnostic value of thyroid imaging reporting and data system in thyroid nodules

2021 ◽  
Vol 8 (8) ◽  
pp. 2286
Author(s):  
Elsayed Ahmed Mostafa ◽  
Radwa Mohamed Atia ◽  
Muhammad Salah Ragab Abdel-Aal
Keyword(s):  
Fine Needle Aspiration ◽  
Predictive Value ◽  
Diagnostic Value ◽  
Needle Aspiration ◽  
Data System ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Thyroid Fine Needle Aspiration ◽  
Risk Of Malignancy ◽  
Sensitivity Specificity

Background: The improved detection of TNs (TNs) with US has resulted in an increase in the number of thyroid fine needle aspiration biopsy (FNAB). Appropriate criteria are necessary to avoid an increase of rather unnecessary benign cytologic results in TNs. Thyroid imaging reporting and data system (TIRADS) was first used by Horvath et al in 2009. This was to standardize the reporting of results of thyroid (ultrasonography) US that can be understood by clinicians and also stratify the risk of malignancy of a lesion based on the US features of the lesion.Methods: Cases with uninodular or multinodular goiter had been included. Evaluation of cases had been done using ultrasound of the neck. TNs were classified into categories according to thyroid imaging reporting and data system of the American colleague of radiologists (ACR-TIRADS).Cases were ordered for fine needle aspiration cytology (FNAC). Operable cases were only included in the study and postoperative histopathology was revised.Results: The study included 46 patients. The different TIRADS categories were confronted with the results of cytology and histopathology. Combining TIRADS 2 and 3 as probably benign categories and TIRADS 4 and 5 as probably malignant categories, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were respectively 100%, 84.38%, 73.68% and 100%. The accuracy of ACR-TIRADS was 89.13%.Conclusions: ACR-TIRADS helps in stratifying nodular thyroid disease based on the risk of malignancy. It could lead to a significant decrease of the number of unnecessary FNABs.

GUIDELINE IMPLEMENTATION ON FINE-NEEDLE ASPIRATION FOR THYROID NODULES: FOCUSING ON MICRONODULES

2020 ◽  
Vol 26 (9) ◽  
pp. 1017-1025
Author(s):  
Si Eun Lee ◽  
Eun-Kyung Kim ◽  
Hee Jung Moon ◽  
Jung Hyun Yoon ◽  
Vivian Youngjean Park ◽  
...  
Keyword(s):  
Thyroid Nodule ◽  
Fine Needle Aspiration ◽  
Thyroid Surgery ◽  
Thyroid Nodules ◽  
Guideline Implementation ◽  
Needle Aspiration ◽  
Data System ◽  
American Thyroid Association ◽  
Fine Needle ◽  
Thyroid Imaging

Objective: We investigated patients who were referred to our institution after fine-needle aspiration (FNA) was performed at outside clinics to evaluate how many nodules satisfied the FNA indications of the Korean Thyroid Imaging Reporting and Data System (K-TIRADS) and compare that to the number of thyroid nodules that satisfy the FNA indications of the American College of Radiology (ACR)-TIRADS and American Thyroid Association (ATA) guidelines. Methods: Between January 2018 and December 2018, 2,628 patients were included in our study. The included patients were those referred for thyroid surgery after having a suspicious thyroid nodule. We retrospectively applied the three guidelines to each thyroid nodule and determined whether each nodule satisfied the FNA indications. We compared the proportion of nodules satisfying the FNA indications of each guideline using a generalized linear model and generalized estimating equation. Results: The median size of the 2,628 thyroid nodules was 0.9 cm (range, 0.2 to 9.5 cm). We found that FNA was not indicated for 54.1%, 47.7%, and 19.1% of nodules and 87.3%, 99.0%, and 97.8% among them were micronodules (<1 cm) according to the ACR-TIRADS, ATA guideline, and K-TIRADS, respectively. The proportion of micronodules which satisfied the FNA indications was significantly higher for the K-TIRADS (65.1%) compared to the ACR TIRADS (12.1%) and ATA guideline (12.1%) ( P<.001). Conclusion: Among patients referred for thyroid surgery to our institutions, about 35% of the micronodules underwent FNA despite not being appropriate for indications by the K-TIRADS. Systematic training for physicians as well as modifications to increase the sensitivity of the guideline may be needed to reduce the overdiagnosis of thyroid cancers, especially for micronodules. Abbreviations: ACR = American College of Radiology; ATA = American Thyroid Association; FNA = fine-needle aspiration; K-TIRADS = Korean Thyroid Imaging Reporting and Data System; LN = lymph node; TIRADS = Thyroid Imaging Reporting and Data System; US = ultrasound

Diagnostic value of 2017 ACR Thyroid Imaging Reporting and Data System (TI-RADS) combined with fine needle aspiration biopsy in thyroid nodules

2021 ◽  
pp. 1-10
Author(s):  
Chao Zhang ◽  
Yu-Qin Huang ◽  
Zhi-Long Liu
Keyword(s):  
Fine Needle Aspiration ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Diagnostic Value ◽  
Needle Aspiration ◽  
Data System ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Accuracy Increase ◽  
Sensitivity Specificity

OBJECTIVE: To evaluate diagnostic value of Thyroid Imaging Reporting and Data System published by American College of Radiology (ACR TI-RADS) in 2017, ultrasound-guided fine-needle aspiration (US-FNA), and the combination of both methods in differentiation between benign and malignant thyroid nodules. METHODS: The data of US-FNA and ACR TI-RADS are collected from 159 patients underwent thyroid surgery in our hospital, which include a total of 178 thyroid nodules. A Bethesda System for Reporting Thyroid Cytopathology category of ≥IV and an ACR TI-RADS category ≥4 are regarded as diagnosis standards for malignancy in US-FNA and ACR TI-RADS, respectively. The pathological results after surgery are considered as the gold standard. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of the ACR TI-RADS, US-FNA and the combination of both methods for the differential diagnosis of thyroid nodules are calculated, respectively. RESULTS: The sensitivity, specificity and accuracy of ACR TI-RADS are 85.4%, 37.5%and 72.5%, respectively. The sensitivity, specificity and accuracy of US-FNA are 70.0%, 100%and 78.1%, respectively. After combining these two methods, the sensitivity, specificity and accuracy increase to 99.23%, 37.50%and 82.58%, respectively. The sensitivity of ACR TI-RADS is higher than that of US-FAN, and the sensitivity of combining these two methods is also higher than that of using ACR TI-RADS and US-FNA alone. CONCLUSION: The established ACR TI-RADS can help in selecting the target during nodule puncture, while the combination of ACR TI-RADS and US-FAN can further improve diagnostic ability for detecting malignant thyroid nodules.

scholarly journals Comparison of Fine Needle Aspiration Cytology in Thyroid Lesions using The Bethesda System for Reporting Thyroid Cytopathology with Ultrasonography using Thyroid Imaging Reporting and Data System

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Sudeep Regmi ◽  
Archana Tiwari ◽  
Rupesh Sharma
Keyword(s):  
Fine Needle Aspiration ◽  
Needle Aspiration ◽  
Data System ◽  
Substantial Agreement ◽  
Fine Needle ◽  
Thyroid Imaging ◽  
Bethesda System ◽  
Thyroid Cytopathology ◽  
The Bethesda System ◽  
Thyroid Lesions

Introduction: Thyroid nodule is a common presentation. The estimated prevalence of thyroid nodules is 4-7% by clinical examination and 50-60% on ultrasonographic (USG) evaluation. Most are benign without any symptoms or cosmetic concerns. Only around 5% are found to be malignant. Methods: This prospective study evaluated a total of 54 patients with thyroid lesions presenting to Otorhinolaryngology, Surgery and Internal Medicine out-patient departments of a tertiary hospital for a period of nine months. The thyroid lesions were categorized into different categories using Thyroid Imaging Reporting and Data System (TIRADS) by USG and The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) by fine needle aspiration (FNA). The agreement between TIRADS and TBSRTC was evaluated using Cohen's kappa statistics. Results: By FNA, 68.5% were benign lesions whereas 7.4% were malignant. Follicular Neoplasm (FN) or Suspicious for FN and Suspicious for Malignancy category comprised 5.6% each. 1.9% of the lesions showed Atypia of Unknown Significance (AUS). 11.1% of the lesions were non-diagnostic or unsatisfactory for evaluation. Overall agreement between the cases by USG and FNA using the TIRADS and TBSRTC respectively was 77.77%. There was a substantial agreement between the diagnosis made by these systems, kappa (κ)= .633 (95% CI, 0.41 to 0.85, p<0.05). Conclusion: This study observed a substantial agreement between the diagnosis made by TIRADS on USG and TBSRTC on FNA. Our study advocates the stratification of thyroid lesions according to TIRADS so that only suspicious lesions undergo FNA.

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