Thyroid Imaging Reporting And Data System Research Articles

Comparison of British Thyroid Association and TIRADS classifications and their impact on the radiological and surgical management of indeterminate thyroid nodules

BackgroundThe British Thyroid Association (BTA) Guidelines for the Management of Thyroid Cancer advocate for fine-needle aspiration cytology for all thyroid nodules graded indeterminate (U3) at ultrasound assessment. This approach raises concerns regarding potential over-diagnosis of low-risk lesions. Conversely, equivalent Thyroid Imaging Reporting and Data Systems (TIRADS) guidelines permit surveillance or discharge of indeterminate thyroid nodules of certain sizes. This service analysis analyses how guideline choice impacts the fine-needle aspiration cytology rate and subsequent surgical management of indeterminate thyroid nodules. MethodsAll patients with an indeterminate (U3) thyroid nodule identified on ultrasound over a 12-month period were included. Indeterminate thyroid nodules were retrospectively rescored using three equivalent TIRADS classifications by three independent reviewers, blinded to the histopathology. Hypothetical differences in fine-needle aspiration cytology rates and surgical activity were then compared. ResultsNinety-six nodules were identified. Retrospective application of TIRADS guidelines resulted in a hypothetical 44.8-55.2% reduction in fine-needle aspiration cytology performed for indeterminate thyroid nodules compared to BTA. A statistically significant increase in rates of surgical activity for indeterminate thyroid nodules was observed between BTA guidance and all retrospectively applied TIRADS guidelines (p<0.001). Of four confirmed thyroid cancers, three would have been unanimously removed. ConclusionUnder BTA guidance, increased fine-needle aspiration cytology rates for indeterminate thyroid nodules resulted in significantly increased surgical activity in our cohort compared to retrospectively applied TIRADS guidelines.

The Horizon of Thyroid Imaging Reporting and Data System in the Diagnostic Performance of Thyroid Nodules: Clinical Application and Future Perspectives.

The widespread occurrence of thyroid nodules and the typically slow progression of thyroid cancer have led to the development of the thyroid imaging reporting and data system (TI-RADS). The primary objectives behind the development of TI-RADS were to minimize unnecessary biopsies of non-cancerous nodules, enhance the overall precision of diagnosis and establish a uniform risk-stratification framework based on the lexicon to notify healthcare professionals of nodules that require a biopsy. The identification and precise diagnosis of thyroid nodules have led to improved clinical practice examination reports within the general population. TI-RADS is a risk-stratification system related to thyroid lesions and based on ultrasound characteristics and is similar to the structure of the breast imaging reporting and data system. There are various versions of TI-RADS, with some being widely used and adequately validated, while others lacking thorough evaluation. TI-RADS uses a numerical scoring system for characteristics, and its categories are determined by the cumulative score of a thyroid nodule, indicating the likelihood of it being benign or malignant. In this article, the various TI-RADS systems were examined as a successful method for producing precise and comprehensive documentation, with a particular emphasis on their functionality, similarities, distinctions and potential future developments.

Evaluating diagnostic accuracy and agreement of TI-RADS scoring in thyroid nodules: A comparative analysis between sonographers and radiologists.

The Thyroid Imaging Reporting and Data System (TI-RADS) is an essential tool for assessing thyroid nodules, primarily used by radiologists. This study aimed to compare the agreement of TI-RADS scores between sonographers and radiologists and to assess the diagnostic performance of these scores against histological findings in suspicious thyroid nodules. In a retrospective analysis, 168 patients with suspicious thyroid nodules classified as TR3 and above by the radiologists were included. Both sonographers and radiologists independently assigned the American College of Radiologists (ACR) TI-RADS scores, which were then compared for inter-reader agreement using Cohen's Kappa statistic. The scores were also evaluated for diagnostic performance against histological results based on the Bethesda system. The study revealed a moderate overall agreement between sonographers and radiologists in TI-RADS scoring (κ = 0.504; 95% CI: 0.409-0.599), with poor agreement noted specifically for nodule margin scores (κ = 0.102; 95% CI: -1.430-0.301). In terms of diagnostic performance against histological outcomes, sonographers' TI-RADS scores showed a sensitivity of 100% and a specificity of 44.6%, while radiologists' scores showed a sensitivity of 100% but a lower specificity of 29.3%. The findings indicate moderate agreement in TI-RADS scoring between sonographers and radiologists, with reproducibility challenges especially in scoring nodule margins. The marginally superior diagnostic performance of sonographers' scores suggests potential efficiency benefits in involving sonographers in preliminary assessments. Future research should aim to encompass a wider range of TI-RADS categories and focus on minimizing scoring variability to enhance the system's clinical utility.

Clinicopathological and Radiological Correlation Among the Spectrum of Nodular Thyroid Lesions.

Objective The primary objective of this study is to comprehensively evaluate nodular thyroid lesions. By analyzing the morphological characteristics of surgically resected specimens and biopsies, the aim is to establish correlations between the patterns, corresponding clinical diagnoses and radiological findings. Furthermore, the study will investigate cases where there is a discrepancy between imaging and pathological assessments, with the goal of understanding the contributing factors to this discordance and improving diagnostic accuracy. Methodology This retrospective observational study utilized convenience sampling to recruit participants. Sample size was determined using GPower software (Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany).Statistical analysis was performed using Jamovi 2.3.28 (Jamovi Research, Vienna, Austria).The Chi-square test was employed to assess the association between the Thyroid Imaging Reporting and Data System (TIRADS) score and histopathological diagnosis.Receiver operating characteristic (ROC) analysis was conducted to identify the optimal TIRADS cut-off point for classifying nodules as malignant and to evaluate the diagnostic accuracy of TIRADS.Discordant cases between histopathological and radiological findings were analyzed to investigate potential discrepancies. Result Taking into consideration histopathology report as a gold standard, correlation of TIRADS with histopathology findings, TIRADS showed 73.08% sensitivity and 81.08% specificity, showing the strongest balance between sensitivity and specificity, as demonstrated by the Youden's Index and Metric Score. The area under the curve (AUC) remains constant at 0.805, suggesting a consistent overall discriminative ability of the TIRADS scale. Conclusion A primary advantage of this study is its exclusive focus on surgically resected nodules, which allows for definitive histological confirmation and thereby ensures the most accurate diagnostic assessment.

Correlative evaluation of findings between ultrasonography, fine needle aspiration cytology and histopathology in cases of goitre

Background: Thyroid imaging reporting and data system (TIRADS) criteria is followed in ultrasonography (USG), based on the risk of malignancy depending on the presence of suspicious ultrasound features. Patients in the high-risk category of TIRADS undergo fine needle aspiration cytology (FNAC), with the Bethesda classification used to determine the risk of malignancy. There is dearth of data comparing sonographic classification of thyroid nodule and its cytological association with respect to final histopathological diagnosis in India. Methods: Prospective observational study on correlation of USG, FNAC and HPE of thyroid swellings conducted in department of otolaryngology at Jaipur national university institute for medical science and research centre, Jaipur, Rajasthan from June 2022 to April 2024 on 50 patients with palpable thyroid lump. Results: In the present study, USG has a sensitivity of 63.63%, specificity of 97.44%, a positive predictive value (PPV) of 87.5%, a negative predictive value (NPV) of 90.4% and an overall accuracy of 84.00%. FNAC shows a sensitivity of 72.7%, specificity of 89.7%, PPV of 66.7%, NPV of 92%, and an overall accuracy of 86%. Conclusions: Benign lesions on both FNAC and USG were almost in concurrence with HPE in our study. The results of FNAC for diagnosing malignancy in our study were almost at par with the results of HPE and outweighed the results of USG. Surgical management should be based on FNAC finding even if USG shows benign features. It should be essential part of armamentarium of evaluation of thyroid swelling. This combined approach provides a robust framework and enhances the accuracy for distinguishing between benign and malignant thyroid lesions, ultimately contributing to improved patient care and outcomes. However, the histopathological examination will remain the gold standard.

Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP): Prevalence, cyto-histo correlation, and molecular and ultrasonographic profile

Non-invasive follicular thyroid neoplasm with papillary like nuclear features (NIFTP) was introduced in 2017 WHO Classification of Endocrine Tumors. In this study, we aim to characterize the molecular and ultrasonographic profiles of NIFTP and evaluate the performance of fine needle aspiration (FNA) cytology. Consecutive thyroid resections at our institution between 2018 and 2022 were collected; 1282 thyroid resections were identified. NIFTP was diagnosed in 109 cases (prevalence: 8.5 %); 65 (60 %) were the targeted nodules with an average size of 2.5 cm. Among these 65 targeted, 27 had Afirma testing results, 44 had Thyroid Imaging Reporting and Data System (TIRADS) scores, and 53 had FNA results. Of the 27 cases with Afirma reports, 23 were labeled “suspicious”, including 5 with RAS-related mutations (risk of malignancy (ROM) 75 %) and 17 without a reportable genetic alternation (ROM 50 %). 60 % cases with TIRADS scores were classified as TIRADS 4, while 16 % were classified as TIRADS 5. The majority of the 53 FNA cases had a diagnosis of AUS/FLUS (53.7 %) or FN (31.5 %). One additional targeted nodule with a diagnosis of NIFTP had BRAFV600E mutation and was reclassified as papillary thyroid carcinoma. In summary, the majority of the targeted NIFTPs had “suspicious” Afirma testing results (85 %), TIRADS 4 scores (60 %) and either AUS/FLUS (53.7 %) or FN (31.5 %) FNA results. The sensitivity and specificity of cytology for diagnosing NIFTP were 90 % and 57 %, respectively, with a positive predictive value (PPV) of 16 % and negative predictive value of 98 %.

Thyroid Imaging Reporting and Data System (TI-RADS) Stratification for Thyroid Incidentalomas in Iraqi Sample

Thyroid Imaging Reporting and Data System (TI-RADS) Stratification for Thyroid Incidentalomas in Iraqi Sample

Avoidable biopsies? Validating artificial intelligence–based decision support software in indeterminate thyroid nodules

BackgroundMultiple artificial intelligence (AI) systems have been approved to risk-stratify thyroid nodules through sonographic characterization. We sought to validate the ability of one such AI system, Koios DS (Koios Medical, Chicago, IL), to aid in improving risk stratification of indeterminate thyroid nodules. MethodsA retrospective single-institution dataset was compiled of 28 cytologically indeterminate thyroid nodules having undergone molecular testing and surgical resection, with surgical pathology categorized as malignant or benign. Nodules were retrospectively evaluated with Koios DS. After nodule selection, automated and AI-adapter–derived Thyroid Imaging Reporting and Data System (TI-RADS) levels were recorded, and agreement with radiologist-derived levels was assessed using Cohen’s κ statistic. The performance of malignancy classification was compared between the radiologist and AI-adapter. Biopsy thresholds were re-evaluated using the AI-adapter. ResultsIn this cohort, 7 (25%) nodules were malignant on surgical pathology. The median nodule size was 2.4 cm (interquartile range: 1.8–2.9 cm). Median radiologist and automated TI-RADS levels were both 4, with κ 0.25 (“fair agreement”). Malignancy classification by the radiologist provided sensitivity 100%, specificity 33.3%, positive predictive value (PPV) 33.3%, and negative predictive value (NPV) 100%, compared with the AI-adapter’s performance with sensitivity 85.7%, specificity 76.2%, PPV 54.5%, and NPV 94.1%. Using the AI-adapter, 14 of 28 biopsies would have been deferred, 13 of which were surgically benign. ConclusionKoios automated and radiologist-derived TI-RADS levels were in consistent agreement for indeterminate thyroid nodules. Malignancy reclassification with the AI-adapter improved PPV at minimal cost to NPV. Risk stratification with the addition of the AI-adapter may allow for more accurate patient counseling and the avoidance of biopsies in select cases that would otherwise be cytologically indeterminate.

Assessing the Diagnostic Accuracy of TI-RADS in Pediatric Thyroid Nodules: A Multi-Institutional Review

PurposeThyroid nodules are uncommon in children and adolescents but carry an increased risk of malignancy when present. The Thyroid Imaging Reporting and Data System (TI-RADS) is an adult-validated ultrasound-based risk assessment providing a prediction of malignant potential for thyroid nodules, thereby guiding recommendations for fine needle aspiration biopsy (FNAB). Minimal data exist regarding the applicability of TI-RADS to predict malignancy in pediatric thyroid nodules. This study aims to analyze the performance of TI-RADS for children and adolescents with thyroid nodules, hypothesizing that applying TI-RADS criteria would improve accuracy and reduce the number of recommended FNAB compared to American Thyroid Association (ATA) size criteria alone. MethodsA multi-institutional retrospective analysis was conducted including patients < 21 years with a thyroid nodule by sonographic thyroid imaging between 2015-2020. TI-RADS scores were assigned at each institution by a pediatric radiologist trained in thyroid imaging and TI-RADS criteria. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall accuracy of TI-RADS scoring were compared to existing ATA size-based recommendation for performing a FNAB. Accounting for relative size differences between adults and children, a novel PED TI-RADS category was developed and tested, recommending FNAB for thyroid nodules with a TI-RADS 3 and >1.5cm, TI-RADS 4 and >1.0cm, and TI-RADS 5 any feasible size. Results291 nodules from 260 patients (median age 14.9 years, 78.8% female) were assessed using TI-RADS. Applying adult TI-RADS criteria resulted in recommendation of FNAB for 35.1% of nodules, in contrast to 76.6% recommended by ATA guidelines (p<.0001) (Table). Utilizing the adult TI-RADS score ≥ 3 as an FNAB indicator resulted in 100% sensitivity and 28.5% specificity, with 0 cases of missed malignant nodules on pathology. When novel PED TI-RADS criteria were applied, 88 patients would have been spared an unnecessary FNAB with improved sensitivity and accuracy over ATA criteria. ConclusionsThe application of adult and PED TI-RADS scoring to thyroid nodules in pediatric patients enhances the accuracy of malignancy prediction compared to current American Thyroid Association size criteria alone. The utilization of PED TI-RADS scoring eliminated unnecessary biopsies in many children while not missing a single thyroid malignancy. Level of EvidenceLevel III

Diagnostic yield of combined ACR TI-RADS and Sonoelastography in solid thyroid nodules in tertiary care center: A prospective cross-sectional Study

Background: Thyroid nodules are prevalent, and accurate differentiation between benign and malignant nodules is crucial for management. We aim to evaluate the effectiveness of combining Thyroid Imaging Reporting and Data System (TIRADS) scoring with strain elastography, specifically the Elasticity Contrast Index (ECI), to differentiate between benign and malignant thyroid nodules. Methods: This analytical cross-sectional study involved 77 patients with solid thyroid nodules identified through B-mode ultrasonography. ACR TI-RADS scores, ECI values, and combined scores were compared with Fine needle aspiration Cytology (FNAC) results. Statistical analysis was performed using SPSS, and Pearson correlation tests were conducted to assess the correlation with FNAC findings. Result: The TI-RADS scoring system has a sensitivity of 83.3%, a specificity of 66.1%, and a positive predictive value of 42.9% for distinguishing benign and malignant nodules. Strain elastography with ECI values has a sensitivity of 94.4%, specificity of 98.3%, PPV of 94.4%, and NPV of 98.3%. Combining ACR TI-RADS and strain elastography achieves a sensitivity of 100%, specificity of 66.1%, NPV of 100%, and PPV of 47.4%. Conclusion: The study emphasizes the benefits of integrating noninvasive methods like ultrasound elastography and ACR TI-RADS for improved diagnostic precision, minimizing invasion and patient discomfort. This strategy is particularly advantageous for TI-RADS 3 nodules and reduces unnecessary procedures. However, FNAC should be reasonable and validated for higher classifications.

Serum trace elements show association with thyroperoxidase autoantibodies in Thyroid Imaging Reporting and Data System (TI-RADS) 4 nodules

Thyroid nodule (TN) has been becoming a great concern worldwide due to its high incidence. Although some studies have reported associations between trace elements exposure and the risk of TNs, the linkage was not inconclusive. The present study aimed to identify the association of selected serum trace elements (Ca, Mg, V, Fe, Co, Cu, Zn, Se, Mn and Mo) with TNs among general adults. A cross-sectional study was conducted in January 2021 in Chengdu, China. 1282 subjects completed the questionnaire and gave at least one human biological material after an overnight fast, venous blood, and urine, including 377 TN participants defined through ultrasound. Various trace elements in serum specimens were determined by inductively coupled plasma mass spectrometry. Thyroid functions were tested by chemiluminescent microparticle immunoassay (CMIA). The associations between trace elements levels and the risk of TNs were examined by restricted cubic splines (RCS) regression and bayesian kernel machine regression (BKMR) models. TNs were more common in females (P < 0.001) and in the elderly (P < 0.001) and that they were also frequently associated with fertility, marital status, annual household income, drinking, anxiety, vitamin supplement, tea consumption, hypertension and hyperlipidemia. After adjusting for confounders by a propensity score matching model, the association between trace elements concentrations and TNs risk was found to be statistically insignificant in the RCS (P for nonlinear > 0.05) and BKMR models. FT3 or T4 (total or free) increased significantly with increasing total trace elements mixture levels. In TI-RADS-4 TN subjects, TPO-Ab level increased significantly with increasing total trace elements mixture levels in the high-dose range. Ca, Zn, Mo at their 75th percentile showed positive individual effects on TPO-Ab, which was examined to be interactive. The detection of trace elements for TNs in general adults may be of no significance, but once individuals classified as TI-RADS-4 TNs are detected with abnormal TPO-Ab, Ca, Zn and Mo level are recommended to measure. The substantive association on it still needs to be continuously explored in the future.

Thyroid nodules: diagnosis and management.

Thyroid nodules, with a prevalence of almost 25% in the general population, are a common occurrence. Their prevalence varies considerably depending on demographics such as age and sex as well as the presence of risk factors. This article provides a comprehensive overview of the prevalence, risk stratification and current management strategies for thyroid nodules, with a particular focus on changes in diagnostic and therapeutic protocols that have occurred over the past 10 years. Several sonography-based stratification systems (such as Thyroid Imaging Reporting and Data Systems (TIRADS)) might help to predict the malignancy risk of nodules, potentially eliminating the need for biopsy in many instances. However, large or suspicious nodules necessitate cytological evaluation following fine-needle aspiration biopsy for accurate classification. In the case of cytology yielding indeterminate results, additional tools, such as molecular testing, can assist in guiding the management plan. Surgery is no longer the only treatment for symptomatic or malignant nodules: active surveillance or local ablative treatments might be beneficial for appropriately selected patients. To enhance clinician-patient interactions and discussions about diagnostic options, shared decision-making tools have been developed. A personalized, risk-based protocol promotes high-quality care while minimizing costs and unnecessary testing.

Malignant thyroid lump multi classification by TIRADS using DBA with transfer learning

Thyroid diseases have developed into significant illnesses in recent decades. These diseases affect the thyroid glands and are caused by elevated thyroid hormone levels or infections in the thyroid organs. It is challenging to resolve thyroid diagnosis using conventional parametric and nonparametric statistical techniques since it can be viewed as a classification problem. However, there are certain barriers in the manner of obtaining both efficacy and accuracy in thyroid nodule diagnosis. Deep learning (DL) and machine learning (ML) models have emerged as useful instruments for the diagnosis of sickness in the modern era. For the purpose of diagnosing and classifying thyroid diseases, this research introduces a novel deep belief network (DBF) with transfer learning, known as DBNTL. In this study, the pre-processed image was first pre-processed using a conventional multiresolution bilateral technique, and then it was subjected to a novel segmentation technique called fusion pooling integrated U-net segmentation. The DBN with transfer learning model is used to classify and grade malignant thyroid nodules in compliance with thyroid imaging-reporting-and-data-system (TIRADS) guidelines. In this model, the model's weights are obtained by transfer learning. A major metric for evaluating the efficacy of biological image processing applications, good sensitivity and specificity (97.28 and 97.22, respectively) were obtained for the recommended modes.

Diagnostic utility of ultrasonography and fine needle aspiration cytology in the pre-operative assessment of suspicious thyroid nodules

Introduction and Background: The incidence of thyroid cancer in Sri Lanka has risen over the last two decades. According to current national cancer statistics, it has become the second commonest cancer in females. Ultrasonography and fine needle aspiration cytology (FNAC) are pre-operative investigations that are useful to assess the nature of thyroid nodules. Though, majority of thyroid nodules are benign, it is vital to identify the suspicious nodules pre-operatively, to decide the most appropriate treatment option.Aim of the study was to determine the diagnostic utility of ultrasonography and FNAC in the pre-operative assessment of suspicious thyroid nodules in the local setting.Methodology: A descriptive cross-sectional study conducted at the Colombo South Teaching hospital and Department of Pathology, University of Sri Jayewardenepura enrolling 135 patients with ultrasonically suspicious thyroid nodules. Ultrasound guided FNAC samples were collected from each patient for cytological assessment. TIRADS (Thyroid Imaging Reporting And Data System) classification was used for radiological assessment and the Bethesda system for cytological interpretation. Data was analyzed using the SPSS 23 software.Results: The age of enrolled patients ranged from 15-76 years with a mean age of 49.8. Majority of the patients were females (81%) while 19% were males. Eleven FNAC specimens were excluded from the study due to insufficient cellularity. Classification of the cases according to ultrasound findings showed that the majority of the patients 51.61% (n=64) belonged to TI-RADS 3 (mildly suspicious). Thirty nine (31.45%) patients had moderately suspicious nodules (TIRADS 4) and 21 cases (16.93%) were highly suspicious.Conclusion: TI-RADS 5 category had the highest sensitivity and 100% concordance between the cytology and ultrasonography results.

Combing superb microvascular imaging with shear wave elastography for risk stratification of Thyroid Imaging Reporting and Data System (TI-RADS) 4 thyroid nodules.

It is difficult to accurately assess the risk of Thyroid Imaging Reporting and Data System (TI-RADS) 4 thyroid nodules due to the overlap of benign and malignant conventional ultrasound (US) features of nodules. To reduce unnecessary needle biopsies and assist clinical decision-making, this study established a dynamic nomogram incorporating superb microvascular imaging (SMI) and shear wave elastography (SWE) for the risk evaluation of TI-RADS 4 thyroid nodules. A total of 248 patients who underwent US, SMI, and SWE with cytological or histopathological results were included in this retrospective study, and were randomly divided into training (174 patients) and verification (74 patients) cohorts. The clinical characteristics and US, SMI, and SWE features of patients were analyzed in the training cohort. The least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were used to screen parameters and construct dynamic nomogram. The receiver operating characteristic (ROC) curves, calibration curve, and decision curve were used to evaluate the performance of the nomogram. A dynamic nomogram was constructed based on age [odds ratio (OR) =0.954; P=0.005] , shape (OR =0.345; P=0.041), SMI (OR =9.511; P<0.001), and SWE (OR =3.670; P=0.001). The nomogram showed excellent discrimination both in the training [area under the curve (AUC): 0.848; 95% confidence interval (CI): 0.784-0.911] and validation (AUC: 0.862; 95% CI: 0.780-0.944) cohorts, and better than US, SMI, and SWE alone in all cohorts (P<0.05). The Nomo-score of each patient was calculated and the cut-off value was 0.607 which can be used to distinguish high-risk and low-risk patients. The SMI and SWE show added predictive value on risk stratification in patients with TI-RADS 4 thyroid nodules and a dynamic nomogram was constructed to screen high-risk individuals and assist the clinical decision-making.

Visualizing thyroid health: a pictorial journey through 2017 ACR TI-RADS and common thyroid pathologies.

With the advent of high-resolution ultrasonography (HRUS), more thyroid nodules are being detected than ever before, and they are being identified at an earlier stage. It poses a challenge for radiologists and clinicians in deciding what to do next. Most nodules are benign and require no follow-up and intervention. Even highly suspicious nodules can be followed up, if the size is small. Variations in HRUS interpretation among radiologists are common, with frequent misidentifications between spongiform and solid-cystic lesions, hypoechoic and very hypoechoic nodules, and microcalcification and hyperechoic foci with comet-tail artifacts. Cystic lesions with echogenic contents are often confused with solid nodules, cystic papillary carcinoma thyroid is often confused with colloid cysts. The 2017 ACR TI-RADS (American College of Radiology Thyroid Imaging Reporting and Data System) aims to standardize the interpretation of thyroid nodules and guide further management. Rather than giving specific diagnosis like colloid cyst, adenomatous nodule and papillary carcinoma; ACR TI-RADS classifies nodules from TI-RADS 1 to TI-RADS 5 based on HRUS characteristics and recommends further management. What the authors often read are textual contents that are theoretical, and in practice, the authors get confused while interpreting the characteristics of thyroid nodules. This review offers a detailed visual overview of the 2017 ACR TI-RADS and common thyroid conditions, explaining key features through imaging data and examples for consistent interpretation. Combining textual explanations with visual aids, this article provides practical guidance for interpreting thyroid nodules for radiologists, and clinicians seeking a clear understanding of thyroid imaging and pathology.

Role of Macrocalcification in Raising the Suspicion of Malignancy among the ACR TIRADS Thyroid Nodules Detected by Ultrasonography

Abstract Background Thyroid nodules are a frequent finding on neck sonography. The US is the most commonly used imaging technique for the evaluation of thyroid nodules. The Thyroid Imaging, Reporting and Data System (TIRADS) developed by the American college of radiology (ACR) for classification of thyroid nodules is a practical and convenient method for risk stratification of thyroid malignancy, based on allocating points for different sonographic features of thyroid nodules in five morphologic categories (composition, echogenicity, margins, shape, and presence of echogenic foci). Objective To evaluate the role of macrocalcification in raising the suspicious of malignancy among ACR TIRADS 3 and 4 group without macrocalcification Patients and Methods Our study was conducted on 60 adult patients, 20 patients with TIRADS 3 nodule, 20 patients with TIRADS 4 group with macrocalcification nodules and 20 patients group TIRADS 4 without macrocalcification nodules, whose ages range between 23 and 65 years old and were referred to undergo FNA procedures. Results The present study concludes parenchymal macrocalcifications showed no statistically significant difference in raising percentage of malignancy among TIRADS 4 patients. Conclusion We conclude that the added macrocalcification showed no statistically significant difference in raising percentage of malignancy compared to TIRADS 4 without calcification group. Also, presence of macrocalcification should not prevent clinicians from making further assessments in case of nondiagnostic results to exclude their association with rather than their causal relation with thyroid malignancies.

Positive Predictive Value of Thyroid Imaging, Reporting and Data System (TI-RADS) (3-5) When Compared to Fine Needle Aspiration Cytology Results

Abstract Background Thyroid nodules are a very common finding in the population. Evaluation of a patient with a thyroid nodule for possibility of malignancy could be challenging. Ultrasound is one tool that could be of help, several scoring systems are utilized to help differentiate benign from malignant nodules. One of the most used is TIRADS as proposed by ACR. Another invasive tool that could help is fine needle aspiration cytology. Objective Evaluating and comparing the accuracy of TI-RADS in the assessment of suspicious thyroid nodules by matching their results with the results of FNAC. Patients and Methods Our study was conducted on 72 adult patients with thyroid nodules and were referred to undergo FNA procedures in ‘Interventional radiology unit’ at the Radiology Department “Ain Shams University hospitals”, Cairo, Egypt. Results The present study concludes that TIRADS classification as proposed by ACR showed less statistical significance in predicting malignancy when compared to results of fine needle aspiration cytology. However, several components of the TIRADS scoring system were better predictors of malignancy than other components, namely the irregular margin, the taller than wider shape and the presence of calcifications within the nodule. Conclusion Our study concludes that better applying and implementing the TIRADS scoring system by the sonographer or using other scoring system available in evaluating thyroid nodules like ATA scoring system might result in more reliable ultrasound results decreasing the need to do fine needle aspiration.

Modified TI-RADS Coupled with BRAFV600E Enhances Diagnostic Efficiency in Papillary Thyroid Carcinoma: Prospective Study.

Thyroid disorders, relatively common diseases of the endocrine system, have risen gradually in recent years. Early detection and accurate diagnosis of thyroid cancer hold exceptional importance. This study aimed to determine the efficacy of a modified TI-RADS and BRAFV600E mutation testing for thyroid cancer (PTC) diagnosis. Ninety five thyroid nodules (48 benign and 47 malignant) from 81 patients were examined using Kwak Thyroid Imaging Reporting and Data System (TI-RADS) were subjected to shear wave elasticity (SWE), BRAFV600E genotyping and fine needle aspiration (FNA) cytology. The modified TI-RADS exhibited superior diagnostic accuracy compared to TI-RADS in differentiating benign nodules from malignant thyroid nodules. Moreover, the AUC of modified TI-RADS in conjunction with BRAFV600E was the highest at 95% CI (0.898-0.992, p=0.003), surpassing other diagnostic methods in enhanced sensitivity and maintaining high specificity. The diagnostic efficiency of this combination surpassed that of individual diagnostic methods.

Individual Ultrasonographic Characteristics of Thyroid Nodules and Their Cytopathological Correlation to Determine Malignancy Risk.

Background Ultrasonographic evaluation of thyroid nodules is challenging due to their high frequency and low malignancy rate. The risk stratification system developed by the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) focuses on addressing the primary contemporary objectives for these lesions, aiming to decrease unnecessary biopsies while maintaining a similar specificity compared with other risk stratification systems. Generally, when indicative of malignancy by ultrasound findings, the next best step in management is an evaluation by fine needle aspiration biopsy (FNAB) and cytological analysis with The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) resultsthat determine further evaluation requirements, actions that are based on the risk of malignancy (ROM) of the assigned category, which could include surgical intervention. Objectives To validate and analyze the individual impact of each ultrasonographic finding indicative of malignancy in the ACR TI-RADS guidelines based on their respective correlation with results obtained by TBSRTC. Materials and method Reports for 212 thyroid ultrasound-guided FNABs from 2018 to 2020 were assessed. Only 117 had both ACR TI-RADS and TBSRTC reports available and were analyzed. Nodules were divided into two groups: ROM < 5% (Bethesda 1, 2; n = 58), and ROM > 5% (Bethesda 3, 4, 5, 6; n = 59).Statistical analysis was performed using the x2 test and bivariate logistic regression model for each characteristic included in ACR TI-RADS. Results Individual ultrasound characteristics with a more pronounced distribution towards the Bethesda > 5% malignancy group were: solid or almost completely solid composition (n=53, 62.3%), very hypoechoic echogenicity (n=3, 75%), wider-than-tall shape (n=50, 50.5%), lobulated or irregular margin (n=23, 65.7%), punctate echogenic foci (n=18, 72%), and thyroid isthmus location (n=6, 75%). Statistically significant individual ultrasonographic characteristics indicative of malignancy included solid or almost completely solid (p = 0.005), very hypoechoic echogenicity (p = 0.046), margin lobulated or irregular (p = 0.031), and punctate echogenic foci (p = 0.015). No significant association was found in the taller-than-wide shape for differentiating malignant from benign lesions (p = 0.969). Conclusions Specific ultrasound characteristics identified in the ACR TI-RADS system demonstrate a stronger correlation with an increased risk of malignancy when compared with cytologic evaluation results. These characteristics include a solid composition, lobulated or irregular margins, punctate echogenic foci, and very hypoechoic echogenicity. Our findings revealedthat the scale points for the taller-than-wide characteristic do not adequately represent its true influence on the risk of malignancy.