scholarly journals Interest of researchers in ultrasound systems for risk stratification of thyroid nodules (TIRADS): a systematic review

2021 ◽  
Author(s):  
Pierpaolo Trimboli ◽  
Giulia Ferrarazzo ◽  
Maurilio Deandrea ◽  
Chiara Camponovo ◽  
Francesco Romanelli ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Thyroid Nodule ◽  
Geographic Distribution ◽  
Selection Criteria ◽  
Thyroid Nodules ◽  
Search Algorithm ◽  
Data System ◽  
Number Of Publications ◽  
Specific Search

Abstract Background A number of ultrasound risk stratification systems (RSSs) of thyroid nodule, often labeled as TIRADS (Thyroid Imaging Reporting and Data System), have been proposed. As a consequence, an increasing number of studies have been published on this topic. This systematic review was undertaken to answer specific questions in this field: how many articles and what type of studies have been published, which TIRADSs/RSSs have preferably been discussed, and what is the geographic distribution of the publications. Methods The study was conducted according to PRISMA. A specific search algorithm was used. Defined selection criteria were applied. Results 502 studies were finally included. The number of publications about TIRADSs/RSSs has increased over the time, being the Horvath TIRADS the most evaluated one. The first author of the article was from China in one fourth of cases. Conclusions The number of scientific articles focused on TIRADSs/RSSs is high and it has been importantly increased over the time.

scholarly journals A retrospective study correlating Ultrasound based Thyroid Imaging Reporting and Data System(TIRADS) with Bethesda System for Thyroid cytopathology in thyroid nodule risk stratification

2021 ◽  
Vol 03 ◽  
Author(s):  
Rajeev Chaturvedi ◽  
Ashok Kumar ◽  
Balaji Balasubramanian ◽  
Sreekala Sreehari
Keyword(s):  
Risk Stratification ◽  
Thyroid Nodule ◽  
Thyroid Nodules ◽  
Data System ◽  
Receiver Operating Curve ◽  
Thyroid Imaging ◽  
Risk Of Malignancy ◽  
Bethesda System ◽  
Thyroid Cytopathology ◽  
Undetermined Significance

Objective: To evaluate the efficacy of the ultrasound based Thyroid Imaging Reporting and Data System (TIRADS)in estimating risk of malignancy in thyroid nodules by correlating it with Bethesda system of thyroid cytopathology. Methods: A retrospective single center study was conducted in a specialty hospital in UAE from November 2017 to November 2019 on 259 thyroid nodules which underwent ultrasound and fine needle aspiration cytology (FNAC). Thyroid nodules were evaluated using American College of Radiology (ACR) TIRADS and categorized as benign (TR1), not suspicious (TR2), mildly suspicious (TR3), moderately suspicious (TR4), or highly suspicious (TR5) for malignancy. The risk of malignancy associated with each TIRADS category was evaluated by comparing it with the Bethesda system classification of cytopathology. Results: Ultrasound and FNAC data of 259 nodules was reviewed. Out of these 33 (12.7%) nodules were excluded because FNAC revealed atypia of undetermined significance or follicular lesion of undetermined significance. The estimated risk of malignancy in TR 3 was 13.6%, in TR4 was 27% and TR5 was 63.6%. There was statistically significant correlation between –TIRADS and Bethesda system using Chi-square test (p<0.001). The receiver operating curve (ROC) analysis revealed specificity of 81.3 % [95% CI, 74.9-86.6%], NPV of 91 % [95% CI, 87.1–93.8%] and accuracy of 77.9% [95% CI, 71.9–83.1%] in differentiating benign from malignant nodules. Conclusion: The ultrasound based ACR- TIRADS scoring correlates well with the Bethesda cytopathology in thyroid nodule risk stratification. Thus, it can be used as a simple and effective tool to decide further management and avoid unnecessary FNAC and surgeries in thyroid nodules.

Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Pyeong Hwa Kim ◽  
Chong Hyun Suh ◽  
Jung Hwan Baek ◽  
Sae Rom Chung ◽  
Young Jun Choi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Thyroid Nodule ◽  
Meta Analysis

Thyroid Imaging Reporting and Data System Risk Stratification of Thyroid Nodules: Categorization Based on Solidity and Echogenicity

Thyroid ◽  
2016 ◽  
Vol 26 (4) ◽  
pp. 562-572 ◽  
Author(s):  
Dong Gyu Na ◽  
Jung Hwan Baek ◽  
Jin Yong Sung ◽  
Ji-Hoon Kim ◽  
Jae Kyun Kim ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Imaging ◽  
System Risk

scholarly journals Correlation between Age, Nodule Diameter, and TI-RADS Score in Thyroid Nodule Classification on Follicular Thyroid Carcinoma

2021 ◽  
Vol 8 (8) ◽  
pp. 385-391
Author(s):  
Kania Difa Parama Citta ◽  
Sahudi Sahudi ◽  
Iskandar Ali
Keyword(s):  
Thyroid Cancer ◽  
Thyroid Carcinoma ◽  
Thyroid Nodule ◽  
Teaching Hospital ◽  
Thyroid Nodules ◽  
Follicular Thyroid Carcinoma ◽  
Data System ◽  
Endocrine Gland ◽  
Thyroid Ultrasound ◽  
Thyroid Imaging

Background: Thyroid cancer is a malignancy of the endocrine gland with the highest incidence. There are many radiological examination modalities that are used to help diagnose thyroid carcinoma, one of which is Ultrasonography. Ultrasonography (USG) can be useful to support the diagnosis of thyroid malignancy. A classification method that categorizes thyroid nodules based on risk for cancer, one of which is by using the Thyroid Imaging Reporting and Data System (TI-RADS). TI-RADS (Thyroid Imaging, Reporting and Data System) is a classification of thyroid ultrasound readings to differentiate between benign and malignant thyroid nodules. Several research efforts that have been done at Dr. Soetomo Hospital previously related to diagnostic of thyroid carcinoma but the results are meaningless and require large funds for the laboratory examination. The aim of this study is to make a relatively easy and inexpensive method using the TI-RADS classification, which is expected to assist in the preoperative diagnostics of a follicular thyroid carcinoma. It is hoped that there will be a method or modality that is easier, cheaper, accurate, and minimally invasive in predicting a follicular thyroid carcinoma. Methods: In this cross-sectional study, we included patients with thyroid mass who underwent treatment in Surgery Department, Dr. Soetomo Teaching Hospital between January 2012 and December 2020. In this study, we utilized the patients’ medical record to collect the necessary clinical data. The inclusion criteria in this study were patients with singular thyroid nodule, underwent thyroid ultrasound, and diagnosed as follicular nodular carcinoma by histopathology examination. Finally, a total of 53 patients were included for further analysis. Ethical approval was obtained from the Ethics Committee of Dr. Soetomo Teaching Hospital (Surabaya, Indonesia). Results: From a total of 53 research subjects, the subjects with the most age were more than 50 years old with a percentage of 52.8% or 28 patients and the rest, 47.2% or 25 patients. The results of this study indicates that nodule diameters less than 5 cm and more than 5 cm have almost the same number based on the number of data samples in this study, namely 53 patients. This can be seen from the number of respectively 27 (50.9%) and 26 (49%). In the TIRADS nodule score, the largest percentage obtained from medical data records in the form of a TIRADS score, namely a TIRADS score greater than TR 4 with a percentage of 60.4% or as many as 32 patients and the rest, namely a TIRADS score less than TR 4 of 39.6% or as much as 21 patients. In the third dependent variable, the authors looked for the odd ratio value for each variable on follicular carcinoma. The authors calculated the OR values ​​for each variable, obtaining results of 1.012 for age, 1.111 for nodule size, and 3.520 for TIRADS scores. Conclusion: There is a correlation between the TIRADS scores with the incidence of follicular thyroid carcinoma. Keywords: Thyroid cancer, TIRADS, Follicular Thyroid Carcinoma.

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