scholarly journals Nomogram Combining Radiomics With the American College of Radiology Thyroid Imaging Reporting and Data System Can Improve Predictive Performance for Malignant Thyroid Nodules

2021 ◽  
Vol 11 ◽  
Author(s):  
Xingzhi Huang ◽  
Zhenghua Wu ◽  
Aiyun Zhou ◽  
Xiang Min ◽  
Qi Qi ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Predictive Performance ◽  
Needle Aspiration ◽  
Data System ◽  
Decision Curve Analysis ◽  
Training Cohort ◽  
Thyroid Imaging ◽  
Score Model ◽  
Better Than ◽  
Good Calibration

PurposeTo develop and validate a nomogram combining radiomics of B-mode ultrasound (BMUS) images and the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) for predicting malignant thyroid nodules and improving the performance of the guideline.MethodA total of 451 thyroid nodules referred for surgery and proven pathologically at an academic referral center from January 2019 to September 2020 were retrospectively collected and randomly assigned to training and validation cohorts (7:3 ratio). A nomogram was developed through combining the BMUS radiomics score (Rad-Score) with ACR TI-RADS score (ACR-Score) in the training cohort; the performance of the nomogram was assessed with respect to discrimination, calibration, and clinical application in the validation and entire cohorts.ResultsThe ACR-Rad nomogram showed good calibration and yielded an AUC of 0.877 (95% CI 0.836–0.919) in the training cohort and 0.864 (95% CI 0.799–0.931) in the validation cohort, which were significantly better than the ACR-Score model (p < 0.001 and 0.031, respectively). The significantly improved AUC, net reclassification index (NRI), and integrated discriminatory improvement (IDI) of the nomogram were found for both senior and junior radiologists (all p < 0.001). Decision curve analysis indicated that the nomogram was clinically useful. When cutoff values for 50% predicted malignancy risk (ACR-Rad_50%) were applied, the nomogram showed increased specificity, accuracy and positive predictive value (PPV), and decreased unnecessary fine-needle aspiration (FNA) rates in comparison to ACR TI-RADS.ConclusionThe ACR-Rad nomogram has favorable value in predicting malignant thyroid nodules and improving performance of the ACR TI-RADS for senior and junior radiologists.

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 Assessment the Adherence of Radiologists to the Thyroid Imaging Reporting and Data System (TIRADS)

2021 ◽  
Author(s):  
Fariba Zarei ◽  
Mohammad Reza Sasani ◽  
Banafsheh Zeinali Rafsanjani ◽  
Mahdi Saeedi Moghadam
Keyword(s):  
Thyroid Nodules ◽  
Fine Needle Aspiration Biopsy ◽  
Needle Aspiration ◽  
Data System ◽  
Fars Province ◽  
Non Invasive ◽  
Thyroid Imaging ◽  
Invasive Method ◽  
The Mean ◽  
Echogenic Foci

Introduction: Thyroid nodules are the most common findings among adults. Usually, Fine Needle Aspiration Biopsy (FNAB) can be used to distinguish the malignant and benign lesions. Application of a non-invasive method for determining the chance of malignancy in a nodule is desirable. Thyroid Imaging Reporting and Data System (TIRADS) was introduced to decrease the unnecessary FNABs and to optimize the management of these patients. The objective of this study was to assess the adherence of radiologist’s reports to TIRADS, after 10 years from the introduction of this system to radiologists in Fars Province. Methods: In this retrospective study, sonography report of the patients, who were referred to hospital for FNAB was assessed. If the patients did not have the previous sonography reports or the report was unreadable, they would be excluded from the study. Composition, echogenicity, shape, size, and margin were assessed and scored in this study. As the reports noted to each of the above-mentioned issues, score 1 was assigned to them. SPSS version 15 was used to analyze the data and calculated the standard deviation. Results: Sonography reports of 111 out of 250 patients was evaluated. The mean score of sonography reports from 5 was 2.63±0.86. The percentage of adherence of sonography reports to the expression of the first five categories was 52.61±17.25 %. Echogenic foci were also evaluated in the patients that it existed. The radiologists were reported them in almost 81% of cases. Conclusion: Overall adherence of sonographic report to TIRADS was 57.34%. The adherence can be definitely improved by training the radiologists.

COMPARISON OF DIAGNOSTIC PERFORMANCE BETWEEN THE AMERICAN COLLEGE OF RADIOLOGY THYROID IMAGING REPORTING AND DATA SYSTEM AND AMERICAN THYROID ASSOCIATION GUIDELINES: A SYSTEMATIC REVIEW

2020 ◽  
Vol 26 (5) ◽  
pp. 552-563 ◽  
Author(s):  
Qing Zhang ◽  
Jian Ma ◽  
Weijing Sun ◽  
Lanlan Zhang
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Thyroid Nodules ◽  
Needle Aspiration ◽  
Data System ◽  
American Thyroid Association ◽  
Summary Receiver Operating Characteristic ◽  
Thyroid Imaging ◽  
The Cost ◽  
Receiver Operating

Objective: We aimed to compare the diagnostic accuracy of the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) with the American Thyroid Association (ATA) guidelines in risk stratification of thyroid nodules. Methods: We performed a computerized search of Medline, EMBASE, Web of Science, Cochrane Library, and Google Scholar to identify eligible articles published before July 31, 2019. We included studies providing head-to-head comparison between ACR TI-RADS and ATA guidelines, with fine-needle aspiration biopsy cytology results or pathology results as the reference standard. Quality assessment of included studies was conducted using the Quality Assessment of Diagnostic Accuracy Studies–2 tool. Summary estimates of sensitivity and specificity were calculated by bivariate modeling and hierarchical summary receiver operating characteristic modeling. We also performed multiple subgroup analyses and meta-regression. Results: Twelve original articles with 13,000 patients were included, involving a total of 14,867 thyroid nodules. The pooled sensitivity of ACR TI-RADS and ATA guidelines was 0.84 (95% confidence interval [CI], 0.76–0.89) and 0.89 (95% CI, 0.80–0.95), with specificity of 0.67 (95% CI, 0.56–0.76) and 0.46 (95% CI, 0.29–0.63), respectively. There were no significant differences between the two classification criteria in terms of both sensitivity ( P = .26) and specificity ( P = .05). For five studies providing direct comparison of ACR TI-RADS, ATA guidelines, and Korean TI-RADS, our analyses showed that the Korean TI-RADS yielded the highest sensitivity (0.89; 95% CI, 0.82–0.94), but at the cost of a significant decline in specificity (0.23; 95% CI, 0.17–0.30). Conclusion: Both classification criteria demonstrated favorable sensitivity and moderate specificity in the stratification of thyroid nodules. However, use of ACR TI-RADS could avoid a large number of biopsies at the cost of only a slight decrease in sensitivity. Abbreviations: ACR = American College of Radiology; ATA = American Thyroid Association; FNAB = fine-needle aspiration biopsy; HSROC = hierarchical summary receiver operating characteristic; SROC = summary receiver operating characteristic; TI-RADS = Thyroid Imaging Reporting and Data System; US = ultrasonography

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

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.

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

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.

Thyroid imaging reporting and data system (TI‐RADS) of the American College of Radiology (ACR) for predicting malignancy in thyroid nodules >1 cm with indeterminate cytology

2018 ◽  
Vol 47 (5) ◽  
pp. 523-525 ◽  
Author(s):  
Tiara Grossi Rocha ◽  
Pedro Weslley Rosario ◽  
Alexandre Lemos Silva ◽  
Maurício Buzelin Nunes ◽  
Maria Regina Calsolari
Keyword(s):  
Thyroid Nodules ◽  
Data System ◽  
Thyroid Imaging ◽  
Indeterminate Cytology
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