Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI‐RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI‐RADS with FNA cytology in the evaluation of thyroid nodules

2020 ◽  
Vol 128 (7) ◽  
pp. 470-481 ◽  
Author(s):  
Lopa Modi ◽  
Wei Sun ◽  
Negin Shafizadeh ◽  
Raquel Negron ◽  
Melissa Yee‐Chang ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Correlation Study ◽  
Data System ◽  
Thyroid Imaging ◽  
Increased Risk ◽  
Risk Of Malignancy

scholarly journals Value of Thyroid Imaging Reporting and Data System in Initial Bethesda Category III Thyroid Nodules

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Caoxin Yan ◽  
Zhiyan Luo ◽  
Zimei Lin ◽  
Shouxing Xu ◽  
Yunkai Luo ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Univariate Analysis ◽  
Data System ◽  
Thyroid Imaging ◽  
Increased Risk ◽  
Risk Of Malignancy ◽  
Clinicopathologic Parameters ◽  
Bethesda System ◽  
Benign Nodules

Background. To evaluate the role of Thyroid Imaging Reporting and Data System (TI-RADS) in predicting malignancy for cytological Bethesda system III nodules. Method. The study included 188 thyroid nodules with first Bethesda system III cytology on surgery or repeat FNA. Patients' clinicopathologic parameters and ultrasonographic (US) nodule characteristics were evaluated according to benignity and malignancy. Using the TI-RADS classification system, thyroid nodules were categorized. Results. The size of malignant nodules was significantly lower than that of benign nodules ( P  < 0.001). Thyroid nodules associated with concomitant thyroid carcinoma had a significantly increased risk of malignancy ( P  < 0.001). Univariate analysis indicated that there were significant differences in the images of benign and malignant nodules in terms of solid composition, hypoechogenicity or marked hypoechogenicity, a taller-than-wide or irregular shape, ill-defined margins, and microcalcifications presence ( P  < 0.05). TI-RADS categories 4c (OR = 8.3, 95% CI 3.8–18.1; P  = 0.043) and 5 (OR = 9.4; 95% CI 1.2–74.2; P  = 0.026) were predictive for malignancy. Conclusions. The TI-RADS US evaluation may assist the physician in deciding whether to proceed with follow-up, repeating FNA, or surgical intervention.

scholarly journals Risk of Malignancy in Thyroid Nodules Using the American College of Radiology Thyroid Imaging Reporting and Data System in the NIFTP Era

2018 ◽  
Vol 50 (10) ◽  
pp. 735-737 ◽  
Author(s):  
Pedro Rosario ◽  
Alexandre da Silva ◽  
Maurício Nunes ◽  
Michelle Borges
Keyword(s):  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Neoplasm ◽  
Malignant Tumours ◽  
Thyroid Imaging ◽  
Risk Of Malignancy ◽  
Nuclear Features

AbstractRecently, the American College of Radiology (ACR) proposed a Thyroid Imaging Reporting and Data System (TI-RADS) for thyroid nodules based on ultrasonographic features. It is important to validate this classification in different centres. The present study evaluated the risk of malignancy in solid nodules>1 cm using ACR TI-RADS. The risk of malignancy was defined including noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) and after its exclusion from malignant tumours. For the present study, the original images were revised, and each nodule was assigned to one of the TI-RADS levels proposed for solid nodules: TR3, TR4, or TR5. This risk of malignancy was significantly different for the three levels: 1.7%, 11.2%, and 60.6% for TR3, TR4, and TR5, respectively, when NIFTP was included, and 0.6%, 7.9%, and 60.2% for TR3, TR4, and TR5, respectively, when NIFTP was excluded from malignant tumours. The nodules corresponding to NIFTP were classified according to ACR as TR3 in 28.5% of cases, TR4 in 67.8%, and TR5 in only 3.5%. The nodules corresponding to cancer were classified according to ACR as TR3 in only 2.3% of cases, TR4 in 27%, and TR5 in 70.5%. In conclusion, this study shows the validity of the ACR TI-RADS for solid thyroid nodules, even after the exclusion of NIFTP from malignant tumours.

USING THE ATA AND ACR TI-RADS SONOGRAPHIC CLASSIFICATIONS AS ADJUNCTIVE PREDICTORS OF MALIGNANCY FOR INDETERMINATE THYROID NODULES

2019 ◽  
Vol 25 (9) ◽  
pp. 908-917 ◽  
Author(s):  
Sara Ahmadi ◽  
Rebecca Herbst ◽  
Taofik Oyekunle ◽  
Xiaoyin ‘Sara’ Jiang ◽  
Kyle Strickland ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Thyroid Nodules ◽  
Clinical Decision Making ◽  
Data System ◽  
Follicular Neoplasm ◽  
American Thyroid Association ◽  
Thyroid Imaging ◽  
Risk Of Malignancy ◽  
Indeterminate Cytology ◽  
Undetermined Significance

Objective: Thyroid nodules with indeterminate cytology pose management challenges in clinical practice. The aim of this study was to determine the efficacy of ultrasound features in navigating clinical decision making in thyroid nodules with indeterminate cytology. Methods: We retrospectively reviewed ultrasound imaging from 186 adult patients with thyroid nodules and indeterminate cytology who underwent thyroidectomy at a quaternary hospital from 2010–2017. All nodules were classified based on the American Thyroid Association (ATA) and 2017 American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS). Nodules were included if good quality pre-operative ultrasound imaging and surgical pathology were available. Results: A total of 202 thyroid nodules were included. The median age was 57 years; 82.8% were female. Risk of malignancy (ROM) in resected nodules with Bethesda 3 and 4 cytology was 19.4% and 30.3%, respectively. ATA high-suspicious and TI-RADS 5 nodules had high ROM, 100% in both systems for Bethesda 3 nodules; 66.7% and 50.0%, respectively, for Bethesda 4 nodules. For ATA very-low suspicious/TI-RADS 1 and 2, ROM was 0%. ROM in ATA low-suspicious/TI-RADS 3 nodules with Bethesda 3 cytology was lower (15.2% and 16.0%, respectively) than Bethesda 4 cytology (33.8% and 34.3%, respectively). ATA intermediate-suspicious/TI-RADS 4 nodules with Bethesda 4 cytology had a lower ROM (11.1% and 18.2%, respectively) than Bethesda 3 cytology (28.6 % and 31.6%, respectively). Conclusion: Using either the ATA or the TI-RADS system to risk-stratify nodules with indeterminate cytology may help clinicians plan better for additional diagnostic testing and treatment. Abbreviations: ACR = American College of Radiology; ATA = American Thyroid Association; AUS = atypia of undetermined significance; FLUS = follicular lesion of undetermined significance; FN = follicular neoplasm; PPV = positive predictive value; ROM = risk of malignancy; SFN = suspicious for follicular neoplasm; TI-RADS = Thyroid Imaging Reporting and Data System

scholarly journals CAN THE AMERICAN THYROID ASSOCIATION, K-TIRADS, AND ACR-TIRADS ULTRASOUND CLASSIFICATION SYSTEMS BE USED TO PREDICT MALIGNANCY IN BETHESDA CATEGORY IV NODULES?

2020 ◽  
Vol 26 (9) ◽  
pp. 945-952 ◽  
Author(s):  
Wei Yang ◽  
Ghaneh Fananapazir ◽  
Jennifer LaRoy ◽  
Machelle Wilson ◽  
Michael J. Campbell
Keyword(s):  
Predictive Value ◽  
Thyroid Nodules ◽  
Needle Aspiration ◽  
Classification Systems ◽  
Data System ◽  
Risk Category ◽  
American Thyroid Association ◽  
Thyroid Imaging ◽  
Grading Systems ◽  
Risk Of Malignancy

Objective: Management of thyroid nodules with Bethesda category III and IV cytology on fine needle aspiration (FNA) is challenging as they cannot be adequately classified as benign or malignant. Ultrasound (US) patterns have demonstrated the utility in evaluating the risk of malignancy (ROM) of Bethesda category III nodules. This study aims to evaluate the value of 3 well-established US grading systems (American Thyroid Association [ATA], Korean Thyroid Imaging Reporting and Data System [Korean-TIRADS], and The American College of Radiology Thyroid Imaging Reporting and Data System [ACR-TIRADS]) in determining ROM in Bethesda category IV nodules. Methods: Ninety-two patients with 92 surgically resected thyroid nodules who had Bethesda category IV cytology on FNA were identified. Nodule images were retrospectively graded using the 3 systems in a blinded manner. Associations between US risk category and malignant pathology for each system were analyzed. Results: Of the 92 nodules, 56 (61%) were benign and 36 (39%) were malignant. Forty-seven per cent of ATA high risk nodules, 53% of K-TIRADS category 5 nodules, and 50% of ACR-TIRADS category 5 nodules were malignant. The ATA high-risk category had 25% sensitivity, 82% specificity, 47% positive predictive value (PPV) for malignancy. K-TIRADS category 5 had 25% sensitivity, 85% specificity, 53% PPV for malignancy. ACR-TIRADS category 5 had 25% sensitivity, 84% specificity, 50% PPV for malignancy. None of the 3 grading systems yielded a statistically significant correlation between US risk category and the ROM ( P = .30, .72, .28). Conclusion: The ATA, Korean-TIRADS, and ACR-TIRADS classification systems are not helpful in stratifying ROM in patients with Bethesda category IV nodules. Clinicians should be cautious of using ultra-sound alone when deciding between therapeutic options for patients with Bethesda category IV thyroid nodules. Abbreviations: ACR-TIRADS = The American College of Radiology Thyroid Imaging Reporting and Data System; ATA NSP = American Thyroid Association nodule sonographic patterns and risk of malignancy classification system; FN = follicular neoplasm; FNA = fine needle aspiration; FTC = follicular thyroid carcinoma; FVPTC = follicular variant of papillary thyroid carcinoma; HCC = Hurthle cell carcinoma; HCN = Hurthle cell neoplasm; K-TIRADS = Korean Thyroid Imaging Reporting and Data System; NIFTP = noninvasive follicular thyroid neoplasm with papillary-like nuclear features; NPV = negative predictive value; PPV = positive predictive value; ROM = risk of malignancy; US = ultrasound

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.

scholarly journals Comparison of Incidental Thyroid Nodules Between Early Breast Cancer Patients and Healthy Controls: Higher Incidence and Thyroid Imaging Reporting and Data System (TI-RADS) Score of Patients with Cancer

2021 ◽  
Vol 14 (9) ◽  
Author(s):  
Masoomeh Raoufi ◽  
Robab Anbiaee ◽  
Zohre Soltani ◽  
Fatemeh Shojaeian ◽  
Seyed Amir Ahmad Safavi-Naini
Keyword(s):  
Breast Cancer ◽  
Thyroid Nodules ◽  
Ductal Carcinoma ◽  
Data System ◽  
Healthy Controls ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Thyroid Imaging ◽  
Risk Of Malignancy ◽  
Us Findings

Background: Breast and thyroid cancers remain among the most common malignancies in women. In previous studies, the co-occurrence of thyroid and breast cancers has been reported. Objectives: The aim of this study was to evaluate and compare the risk and incidence of incidental thyroid nodules (ITNs) between patients with breast cancer and healthy controls, based on the Thyroid Imaging Reporting and Data System (TI-RADS). Methods: This case-control study was conducted on 140 patients with breast cancer and 140 cancer-free women in a similar age range. Thyroid ultrasonography (US) was performed before the onset of treatment. The risk stratification of thyroid nodules was based on the TI-RADS. Results: The mean age of the participants was not significantly different between the case (43.35 ± 7.85 years) and control (42.11 ± 3.69 years) groups (P = 0.094). Invasive ductal carcinoma was the most frequent type of breast cancer in the patients. Normal thyroid US findings were significantly less frequent in patients with breast cancer (35.7%) compared to the healthy controls (76.4%) (P = 0.001). On the other hand, thyroid nodules were more frequent in the patients and associated with a higher risk of malignancy (i.e., high TI-RADS scores) compared to healthy women (P = 0.001 and P = 0.001, respectively). Besides, patients with breast cancer showed more thyroid abnormalities in the US examinations. Conclusions: A higher frequency of ITN, with an elevated TI-RADS score, which raised the suspicion of malignancy, was seen in patients with breast cancer. Overall, patients with breast cancer may benefit from a regular thyroid US examination.

scholarly journals Thyroid Imaging Reporting and Data System Score Combined with the New Italian Classification for Thyroid Cytology Improves the Clinical Management of Indeterminate Nodules

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Salvatore Ulisse ◽  
Daniela Bosco ◽  
Francesco Nardi ◽  
Angela Nesca ◽  
Eleonora D’Armiento ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Clinical Management ◽  
Thyroid Nodules ◽  
Data System ◽  
Benign Diseases ◽  
Malignancy Risk ◽  
Thyroid Cytology ◽  
Thyroid Imaging ◽  
Indeterminate Nodules ◽  
Risk Of Malignancy

The new Italian cytological classification (2014) of thyroid nodules replaced the TIR3 category of the old classification (2007) with two subclasses, TIR3A and TIR3B, with the aim of reducing the rate of surgery for benign diseases. Moreover, thyroid imaging reporting and data system (TI-RADS) score appears to ameliorate the stratification of the malignancy risk. We evaluated whether the new Italian classification has improved diagnostic accuracy and whether its association with TI-RADS score could improve malignancy prediction. We retrospectively analyzed 70 nodules from 70 patients classified as TIR3 according to the old Italian classification who underwent surgery for histological diagnosis. Of these, 51 were available for cytological revision according to the new Italian cytological classification. Risk of malignancy was determined for TIR3A and TIR3B, TI-RADS score, and their combination. A different rate of malignancy (p=0.0286) between TIR3A (13.04%) and TIR3B (44.44%) was observed. Also TI-RADS score is significantly (p=0.003) associated with malignancy. By combining cytology and TI-RADS score, patients could be divided into three groups with low (8.3%), intermediate (21.4%), and high (80%) risk of malignancy. In conclusion, the new Italian cytological classification has an improved diagnostic accuracy. Interestingly, the combination of cytology and TI-RADS score offers a better stratification of the malignancy risk.

Application of Thyroid Imaging Reporting and Data System in the Ultrasound Assessment of Thyroid Nodules According to Physician Experience

2016 ◽  
Vol 32 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Su Yeon Ko ◽  
Eun-Kyung Kim ◽  
Hee Jung Moon ◽  
Jung Hyun Yoon ◽  
Ha Yan Kim ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Imaging ◽  
Ultrasound Assessment
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