The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules

Background. This study is aimed at evaluating the diagnostic efficacy of ultrasound-based risk stratification for thyroid nodules in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) and the American Thyroid Association (ATA) risk stratification systems. Methods. 286 patients with thyroid cancer were included in the tumor group, with 259 nontumor cases included in the nontumor group. The ACR TI-RADS and ATA risk stratification systems assessed all thyroid nodules for malignant risks. The diagnostic effect of ACR and ATA risk stratification system for thyroid nodules was evaluated by receiver operating characteristic (ROC) analysis using postoperative pathological diagnosis as the gold standard. Results. The distributions and mean scores of ACR and ATA rating risk stratification were significantly different between the tumor and nontumor groups. The lesion diameter > 1 cm subgroup had higher malignant ultrasound feature rates detected and ACR and ATA scores. A significant difference was not found in the ACR and ATA scores between patients with or without Hashimoto’s disease. The area under the receiver operating curve (AUC) for the ACR TI-RADS and the ATA systems was 0.891 and 0.896, respectively. The ACR had better specificity (0.90) while the ATA system had higher sensitivity (0.92), with both scenarios having almost the same overall diagnostic accuracy (0.84). Conclusion. Both the ACR TI-RADS and the ATA risk stratification systems provide a clinically feasible thyroid malignant risk classification, with high thyroid nodule malignant risk diagnostic efficacy.

Predicting papillary thyroid carcinoma cervical lymph node metastases: an algorithm using the American College of Radiology Thyroid Imaging, Reporting and Data System

Background It is important to predict lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) preoperatively; however, the relationship between the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) score and cervical LNM remains unclear. Purpose To evaluate the association between the ACR TI-RADS score and cervical LNM in patients with PTC. Material and Methods This retrospective study consisted of 474 patients with 548 PTCs. Cervical LNM including central LNM (CLNM) and lateral LNM (LLNM) were confirmed by pathology. Univariate and multivariate analyses were performed to investigate the risk factors of CLNM and LLNM. Results Multivariate logistic regression analyses indicated that younger age and multifocality were risk factors for CLNM in PTCs with TR5. In addition, younger age, larger tumor size, and Hashimoto’s thyroiditis (HT) were risk factors for LLNM in PTCs ≥ 10 mm with TR5. In PTCs with TR4, ACR TI-RADS scores 5–6 conferred risks for LNM. In PTCs ≥ 10 mm with TR5, ACR TI-RADS scores ≥9 were risk factors for LLNM. Conclusion A higher ACR TI-RADS score is a predictor for cervical LNM in PTCs with TR4 and PTCs ≥ 10 mm with TR5.

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

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.

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

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.

Value of Thyroid Imaging Reporting and Data System in Initial Bethesda Category III Thyroid 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.

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

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.