Search Results (89)

Background/Objectives: This study aimed to evaluate the relationship between preoperative clinical, ultrasonographic, and cytologic findings and postoperative histopathology in patients with thyroid nodules, and to determine diagnostic factors associated with malignancy. Materials and Methods: A retrospective analysis was conducted on 100 patients who underwent thyroid surgery between September 2012 and April 2014. Preoperative data—including clinical examination, thyroid function tests, and high-resolution ultrasonography—were compared with fine-needle aspiration biopsy (FNAB) results and final histopathology. Ultrasonographic features (echogenicity, calcification, vascularity, and margin) were analyzed for their association with malignancy. Statistical tests included chi-square, t-test, and correlation analysis (p < 0.05 considered significant). Results: Among 100 patients (79 females, 21 males; mean age 47.5 ± 13.9 years), 29 (29%) had benign and 71 (71%) malignant histopathology. Malignancy was significantly associated with older age (p = 0.025), smaller nodule size (p = 0.019), hypoechogenicity (p = 0.001), microcalcifications (p = 0.014), and irregular margins (p = 0.017). FNAB showed a strong correlation with final histopathology (r = 0.65, p = 0.001). The overall sensitivity and specificity of FNAB were 25.4% and 82.8%, respectively. Conclusions: Hypoechogenicity, microcalcifications, and irregular margins were the most reliable ultrasonographic predictors of malignancy. FNAB remains a highly specific but variably sensitive diagnostic tool, and its accuracy increases when interpreted in conjunction with ultrasonographic findings. Integrating cytology with structured imaging systems such as ACR TI-RADS and Bethesda classification enhances diagnostic precision in thyroid nodule evaluation. Full article

Background and Objectives: Mean platelet volume (MPV) is a routinely available blood marker that measures platelet size and activation, and it has been evaluated as a potential marker for thyroid malignancies. Platelets participate in tumor genesis through angiogenesis, immune evasion, and metastasis, making them plausible adjuncts for cancer risk evaluation. The objective is to systematically evaluate the role of MPV in thyroid cancers, with the main focus on diagnostic accuracy, prognostic value, and limitations, focusing on papillary thyroid carcinoma (PTC). Materials and Methods: A systematic search of PubMed was conducted from January 2015 to September 2025. Only free full-text studies on human subjects were included. Eligible studies included case–control, cohort, or observational designs reporting MPV or platelet indices in thyroid cancer compared with benign nodules or healthy controls. Data on diagnostic performance, associations with tumor stage, lymph node involvement, and recurrence were extracted and synthesized narratively. No formal risk-of-bias or study quality assessment tool was applied. The literature search was restricted to studies with freely available full-text articles, which may have introduced access-based selection bias. Results: Eleven studies met the inclusion criteria. Most of them reported high MPV values in papillary thyroid carcinoma (PTC), with limited evidence regarding other thyroid cancer subtypes. High values of MPC were reported in the majority of studies in PTC compared to benign nodules or healthy controls. The diagnostic performance of MPV alone was poor, but integration with inflammatory ratios such as the neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte ratio (PLR), and with ultrasound systems (TI-RADS), improved accuracy. Regarding prognostic utility, some studies linked higher MPV with lymph node involvement or recurrence risk, while others did not find significant data. Thyroid function, autoimmune thyroid disease, and methodological variability in MPV measurement limited comparability across studies. Conclusions: MPV is a low-cost adjunct biomarker, especially when combined with other hematologic and imaging markers. However, MPV should not be used as a stand-alone diagnostic or prognostic tool. Larger, prospective studies are mandatory to clarify its clinical role. Full article

Background/Objectives: Thyroid nodules are a prevalent condition with a high incidence rate of malignancy. Ultrasound (US)-based risk stratification systems have become widely utilized for the evaluation of thyroid nodules, including the American Thyroid Association (ATA) guidelines, the American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS), the Korean Society of Thyroid Radiology system (K-TIRADS), and the European Thyroid Association system (EU-TIRADS). Our institution has developed a real-time computerized score for evaluating thyroid nodules. This study aims to systematically compare the diagnostic performance of these systems when applied in real time by otolaryngologists, who integrate dynamic US imaging with physical examination. Methods: Patients with thyroid nodules who underwent US evaluation, US-guided fine-needle aspiration cytology (FNAC), and subsequent thyroidectomy were included. During each examination, otolaryngologists performed real-time risk categorization according to five US-based systems, with immediate scoring based on dynamic sonographic findings. Results: From April 2021 to November 2023, 130 patients were enrolled. For categories 4 and 5, the ATA guidelines had a sensitivity of 96.6% (95% CI: 87.3–100%), specificity of 78.9%, (60.6–97.3%) PPV of 84.6% (70.7–98.5%), NPV of 93.7% (81.9–100%), and accuracy of 88.1% (78.3–97.9%). The sensitivity of the ACR-TIRADS was 95.6% (87.3–100%), the specificity was 78.9% (60.6–97.3%), the PPV was 84.6% (70.7–98.5%), the NPV was 93.7% (81.9–100%), and the accuracy was 88.1% (78.3–97.9%). Both the K-TIRADS and the EU-TIRADS had sensitivities of 95.6% (87.3–100%), specificities of 78.9% (60.6–97.3%), PPVs of 84.6% (70.7–98.5%), NPVs of 93.7% (81.9–100%), and accuracies of 88.1% (78.3–97.9%). The computerized score (>3.3 considered malignant) and TBSRTC (Category 5 or 6) both had sensitivities of 73.9% (56.0–91.9%), specificities of 100%, PPVs of 100%, NPVs of 76.0% (59.3–92.7%), and accuracies of 85.7% (75.1–96.3%). Conclusions: Otolaryngologists can achieve highly accurate diagnostic performance when applying standardized ultrasound-based risk stratification systems, and a real-time computerized scoring system provides highly specific supplemental value for immediate clinical decision-making. Full article

Background and Objectives: Thyroid nodules are common, and distinguishing benign from malignant lesions is essential for clinical decision-making. While EU-TIRADS provides ultrasound-based risk stratification, fine-needle aspiration biopsy (FNAB) and the Bethesda System remain central diagnostic tools. This study aimed to compare the diagnostic performance of EU-TIRADS and Bethesda classifications and to identify ultrasonographic features independently associated with malignancy. Materials and Methods: This retrospective single-center study included 824 patients (1132 nodules) who underwent FNAB between August 2021 and June 2024. All ultrasound examinations and FNAB procedures were performed by the same endocrinologist. Sonographic features, EU-TIRADS categories, Bethesda classes, surgical indications, and histopathology were analyzed. Diagnostic accuracy was assessed using ROC curves, and multivariable logistic regression was applied to determine independent predictors of malignancy. Results: Among all nodules, 51.0% were EU-TIRADS 3, 28.6% were EU-TIRADS 4, and 19.2% were EU-TIRADS 5. Bethesda class II constituted 62.7% of FNAB results. Of the 289 surgically treated nodules, 53.3% were malignant. Malignant nodules were smaller, more often solitary and unilateral, and more frequently located in the upper pole (p < 0.05). Irregular margins (OR = 8.15, p < 0.001) and microcalcifications (OR = 10.01, p = 0.003) were independent predictors of malignancy. Taller-than-wide shape also showed significant association. ROC analyses demonstrated that EU-TIRADS (AUC = 0.808) and Bethesda (AUC = 0.869) were both significant predictors, with Bethesda showing higher specificity. Malignancy rates were 0% in EU-TIRADS II, 4.3% in III, 14.5% in IV, and 37.8% in V. Conclusions: EU-TIRADS is a practical and sensitive non-invasive tool for malignancy risk stratification; however, Bethesda classification remains superior in overall diagnostic accuracy. Microcalcification and irregular margins were the strongest ultrasonographic predictors of malignancy, while macrocalcification, parenchymal heterogeneity, and thyroiditis showed no significant association. These findings support the complementary roles of EU-TIRADS and FNAB and highlight key sonographic markers that enhance malignancy prediction in thyroid nodule evaluation. Full article

Background: Ultrasound is the primary imaging modality for evaluating thyroid nodules, with echogenicity and nodule size serving as parameters for malignancy risk stratification. Though the TI-RADS classification system is standardized, interpretation varies among observers due to subjectivity, and can affect diagnostic consistency. This study aimed to evaluate the diagnostic and interobserver agreement of quantitative ultrasound gray-scale analysis and nodule area in differentiating benign from malignant solid thyroid nodules. Methods: This retrospective study reviewed 600 patients who underwent thyroid ultrasound at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, in 2023 and 2024. Of these 600, 107 adult patients with 116 solid thyroid nodules (96 benign and 20 malignant) who subsequently underwent ultrasound-guided fine-needle aspiration were included in the final analysis. From B-mode ultrasound images, the grayscale median (GSM) values of each nodule and adjacent normal thyroid tissue were measured using Adobe Photoshop. The GSM ratio (GSMr) was calculated by dividing nodule GSM by normal tissue GSM. Nodule size, taken as cross-sectional area, was assessed using ImageJ software version 1.53. The Mann–Whitney U test was used to compare GSMr and the area between benign and malignant nodules. Inter-observer agreement was evaluated using the intraclass correlation coefficient (ICC). Results: Malignant nodules had significantly lower GSMr compared to benign nodules (malignant: median 0.76, IQR 0.27; benign: median 0.88, IQR 0.55, p = 0.02). Malignant nodules were also significantly larger than benign nodules (malignant: median 2.77 cm², IQR: 5.08; benign: median 1.78 cm², IQR 1.65, p = 0.02). Inter-observer reproducibility was excellent for both GSMr (ICC = 0.998) and area (ICC = 0.997). Conclusions: Quantitative ultrasound assessment of grayscale echogenicity and nodule area provides valuable diagnostic information for differentiating benign from malignant solid thyroid nodules. These objective measures may enhance diagnostic confidence and support more precise clinical decision-making in thyroid nodule evaluation. Full article

Background/Objectives: Medullary thyroid carcinoma (MTC) poses diagnostic challenges due to its sonographic similarity to benign nodules and the modest sensitivity of conventional ultrasound (US) and TIRADS-based risk stratification. Elastography, using strain (SE) and shear-wave (SWE) techniques, has demonstrated high accuracy in papillary thyroid carcinoma (PTC) but remains underexplored in MTC. This study investigates whether elastographic stiffness measurements can enhance diagnostic precision for MTC when combined with conventional US. Methods: We retrospectively analyzed 20 nodules confirmed as MTC by pathology after surgical resection (January 2013–June 2024) and evaluated via conventional US, SE, and SWE at a specialized endocrinology center. Elasticity scores (ES) and Emean/Emax values were compared with US features, TIRADS categories, calcitonin levels, nodule size, and lymph node status. Results: Qualitative SE showed a mean ES of 3.2 (55% ES 4, 20% ES 3), while 87.5% of nodules exceeded an SWE Emean cutoff of 30.5 kPa, indicating increased stiffness in most MTC nodules and outperforming TIRADS, where only 60% were high-risk. Moderate correlations were found between calcitonin and nodule size (r = 0.52, p = 0.018) and between ES and size (r = 0.48, p = 0.034), but calcitonin did not correlate with ES (r = 0.07, p = 0.768). Nodules with suspicious lymph nodes showed higher Emean and ES trends, though not significant. Conclusions: Elastography identifies increased stiffness in MTC, challenging its “soft” classification, and improves risk stratification beyond TIRADS. We suggest integrating elastography as a complementary tool alongside TIRADS to guide fine-needle aspiration, without replacing calcitonin or cytology. Prospective multicenter studies are needed to validate thresholds and optimize multimodal risk assessment in MTC. Full article

Background: There is an ongoing project to create an international Thyroid Imaging Reporting And Data System (I-TIRADS) to harmonize the terminology of guidelines for reporting thyroid ultrasonography. As artificial intelligence (AI) has been gaining increasing attention also in the thyroid field, achieving solid information about the consistency of AI in interpreting the TIRADS terminology is relevant before the I-TIRADS is published. The present study aimed to examine the issue of AI when interpreting the TIRADS terminology to describe thyroid nodules (TNs). Methods: Three TIRADSs from the USA (ACR-TIRADS), Europe (EU-TIRADS), and Asia (K-TIRADS) were considered. The most popular AI, such as ChatGPT, was tested. All possible combinations of terms of the three TIRADSs were performed. Results: 2592 cases were included. With the ACR-TIRADS lexicon, there was a slightly significant difference between systems (p = 0.0494) which was attributed to variations between ACR- and EU-TIRADS (p = 0.0099). With the EU-TIRADS lexicon, there was a significant difference between systems (p < 0.0001) with a significant result between EU- and ACR-TIRADS (p = 0.0003). Using the K-TIRADS terminology, no significant difference was observed (p = 0.7954). The intraobserver agreement of ChatGPT was moderate with the best values (from 0.55 to 0.60) with the K-TIRADS lexicon. Conclusions: ChatGPT interprets the TIRADS lexicon but with variations when it is asked to assess TNs according to one TIRADS using the terminology of another TIRADS. Clinical operators as well as patients should also be aware of these novel data. Full article

Background/Objectives: Advances in large language models like ChatGPT-4o have extended their use to medical image analysis. Accurate assessment of thyroid nodule ultrasound features using ACR TI-RADS is crucial for clinical practice. This study aims to evaluate ChatGPT-4o’s intra-observer consistency and its agreement with an expert in analyzing these features from ultrasound image assessments based on ACR TI-RADS. Methods: This cross-sectional study used ultrasound images from 100 thyroid nodules collected prospectively between May 2019 and August 2021. Ultrasound images were analyzed by ChatGPT-4o, following ACR TI-RADS guidelines, to assess features of thyroid nodule including composition, echogenicity, shape, margin, and echogenic foci. The analysis was repeated after one week to evaluate intra-observer reliability. The ultrasound images were also analyzed by another ultrasound expert for the evaluation of inter-observer reliability. Agreement was measured using Cohen’s Kappa coefficient, and concordance rates were calculated based on alignment with the expert’s reference classifications. Results: Intra-observer agreement for ChatGPT-4o was moderate for composition (Kappa = 0.449) and echogenic foci (Kappa = 0.404), with substantial agreement for echogenicity (Kappa = 0.795). Agreement was notably low for shape (Kappa = −0.051) and margin (Kappa = 0.154). Inter-observer agreement between ChatGPT-4o and the expert was generally low, with Kappa values ranging from −0.006 to 0.238, the highest being for echogenic foci. Overall concordance rates between ChatGPT-4o and expert evaluations ranged from 46.6% to 48.2%, with the highest for shape (65%) and the lowest for echogenicity (29%). Conclusions: ChatGPT-4o showed favorable consistency in assessing some thyroid nodule features in intra-observer analysis, but notable variability in others. Inter-observer comparisons with expert evaluations revealed generally low agreement across all features, despite acceptable concordance for certain imaging characteristics. While promising for specific ultrasound features, ChatGPT-4o’s consistency and accuracy still vary significantly compared to expert assessments. Full article

Background: Thyroid nodules are common in the general population, and up to 15% may be malignant. Patients with transfusion-dependent thalassemia (TDT) are predisposed to endocrine complications, raising concern for thyroid malignancy. This study compared surveillance strategies between TDT patients and healthy controls (HCs). Methods: This cross-sectional study used thyroid ultrasonography (US) to identify and characterize thyroid nodules in patients with TDT and HCs. Nodule assessment was performed using the Thyroid Imaging Reporting and Data System and the Italian Consensus for the Classification and Reporting of Thyroid Cytology for FNAs. Rates of indicated but unperformed FNAs and confirmed thyroid cancer cases were recorded. Statistical comparisons were performed using Fisher’s exact and chi-squared tests. Results: A total of 156 TDT and 101 HCs underwent thyroid US. Nodules were detected in 35.2% of TDT patients and 34.6% of HCs, with no difference in prevalence. Nodules were smaller in TDT patients, but suspicious ultrasound features and cancer prevalence were similar. Furthermore, 33.3% of TDT patients vs. 4.5% of HCs did not undergo indicated FNA (p = 0.021). Conclusions: Thyroid nodule prevalence and malignancy risk were comparable in TDT patients and HCs. A higher proportion of TDT patients missed indicated FNA procedures, revealing a critical gap in surveillance. Enhanced adherence to guideline-based follow-up is needed in thalassemia care. Full article

Background/Objectives: Autonomously functioning thyroid nodules (AFTNs) are most frequently diagnosed as benign. However, they show high ratings in ultrasound (US) risk stratification systems (RSSs) that utilize the current clinical standard methodology of conventional static image capture (SIC) documentation. The objective of this study was to evaluate the RSS ratings and respective fine needle cytology (FNC) recommendations of cine loop (CL) video sequences in comparison to SIC. Methods: 407 patients with 424 AFTNs were enrolled in this unicentric, retrospective study between 11/2015 and 11/2023. Recorded US CL and SIC were analyzed lesion-wise and compared regarding US features, Kwak and ACR TIRADS, ACR FNC recommendations, as well as assessment difficulties and artifacts. Statistical analyses were conducted using the Chi² test and Spearman’s correlation coefficient in SPSS software. p-values < 0.05 were considered significant. Results: Strong to very strong correlations were observed for all US features, RSS ratings, and ACR FNC recommendations (Spearman’s correlation: each p < 0.001), comparing CL and SIC. For >60% of the AFTNs, ACR FNC recommendation was given. Kwak TIRADS were more consistent with the benign nature of AFTNs than the ACR ratings. CL captured significantly more “echogenic foci” than SIC (Chi²: p < 0.001). Artifacts (poor image quality, acoustic shadowing, sagittal incompletely displayed AFTN) were significantly more common on CL, affecting ~40% of AFTNs, compared to ~15% on SIC (Chi²: each p < 0.05). Weak correlation was observed for assessment confidence between CL and SIC, with SIC outperforming CL (Spearman’s correlation: each p < 0.001). Conclusions: A strong correlation was identified between CL and SIC in terms of RSS ratings and ACR FNC recommendations. Kwak is a superior representative of the benign character of AFTNs than ACR. However, CL provided more detailed information while being associated with decreased observer confidence and more artifacts. Specific operator training and technical improvements, including AI implementation, could improve image quality in future. Full article

Background and Objectives: To identify clinical, ultrasound (US) and real-time elastography (RTE) characteristics indicative of malignancy in small thyroid lesions. Materials and Methods: 141 consecutive patients with incidentally discovered solid thyroid nodules (diameter ≤ 10 mm) by neck US were assessed, and RTE was performed. The nodules were classified per American (ACR-TIRADS) and European (EU-TIRADS) criteria; US-guided FNA was conducted on EU-TIRADS 5 nodules. The US and RTE features of nodules classified as benign (Bethesda II) or malignant (Bethesda V and VI) were compared. Results: 41 nodules were classified as EU-TIRADS 5. Their Fine Needle Aspiration (FNA) cytology was Bethesda II (n = 11), III-IV (n = 3), V (n = 10) or VI (n = 17). Bethesda V–VI patients had a higher rate of autoimmune thyroiditis (p = 0.015) and higher ACR-scoring points (p < 0.001) compared with Bethesda II. The elastography ratio was equal between the groups (p = 0.584). In logistic regression analysis, ACR-scoring points predicted FNA results, with an area under the curve (AUC) of 0.993 (sensitivity 92.6% and specificity of 100%). The clinical model (age, body mass index, sex, autoimmunity, L-thyroxine treatment, nodule diameter, elastography ratio) achieved an AUC of 0.744. A “mixed” model, combining clinical characteristics with the ACR scoring points, achieved perfect performance (AUC = 1.000), predicting FNA results with 100% sensitivity and specificity. Conclusions: The proposed “mixed model” can predict Bethesda V–VI in thyroid nodules <10 mm, allowing for the selection of those needing further evaluation. Full article

Purpose: This study aimed to compare: the performance of K-TIRADS, EU-TIRADS and ACR TIRADS when used by observers with different levels of experience compared with the gold standard of cytology, and to evaluate the diagnostic performance of CAD (computer-aided design) compared with TI-RADS systems. Methods and Materials: In total, 323 thyroid nodules were evaluated in patients who were candidates for needle aspiration. Three observers with different levels of experience evaluated the diagnostic accuracy of three risk stratification systems (ACR TI-RADS, EU-TIRADS and K-TIRADS) and CAD software (S-Detect, made by Samsung) in characterizing the nodules. The results were compared with cytology examination. All nodules were characterized in terms of shape, margins, composition, calcifications, size, echogenicity and microcalcifications, and by stratifying individual nodules by using the three TIRADS systems; then S-detect software was applied and the data were compared with each other and with the gold standard. Results: Through cytology, 308 benign and 33 malignant nodules were identified. ACR-TIRADS showed a sensitivity of 100%, a specificity of 86%, a positive predictive value of 43% and a negative predictive value of 100%. EU-TIRADS showed a sensitivity of 100%, a specificity of 79%, a positive predictive value of 33% and a negative predictive value of 100%. K-TIRADS showed a sensitivity of 100%, a specificity of 89%, a positive predictive value of 50% and a negative predictive value of 100%. S-Detect combined with EU-TIRADS showed a high agreement (>95%) with the gold standard. Conclusions: K-TIRADS’s positive predictive power was slightly better than the other TIRADS, suggesting greater accuracy in correctly diagnosing positive cases. S-DETECT combined with EU-TIRADS has similar results to S-Detect with ACR- and K-TIRADS in terms of sensitivity, specificity and negative predictive power. However, it has a slightly better positive predictive power, suggesting greater accuracy in correctly diagnosing positive cases than the ACR- and K-TIRADS classification systems. In general, S-Detect cannot yet be considered a substitute for the human observer but only as an important support for human evaluation and an excellent and fast help to provide a comprehensive and complete report. Clinical Relevance/Application: S-Detect is a valuable tool for characterizing thyroid nodules when integrated with radiologist evaluation. It is also an important support tool for less experienced observers. Particularly interesting is the approach of use in integrated combination of the K-TIRADS by the human observer with S-Detect using EU-TIRADS, which could increase the overall diagnostic efficiency of the systems. Full article

Objective: Radiofrequency ablation (RFA) has gained recognition as a minimally invasive alternative to surgery for managing symptomatic benign thyroid nodules. However, predicting RFA efficacy remains challenging, especially in identifying patients who may require multiple treatment sessions. The aim of the present study is to identify predictors of suboptimal volume reduction (SVR), defined as failure to achieve a volume reduction greater than 5% between 6 and 12 months after procedure and persistence of symptoms. Methods: A retrospective single-center analysis of consecutive patients who underwent a single RFA procedure for benign thyroid at Verona University Hospital between 2020 and 2023 was conducted. Clinical data, including nodule volume and compressive symptoms, were collected preoperatively and at 1, 6, and 12 months post-RFA. Regression analysis was performed to identify predictors of SVR and persistence of symptoms. Results: A total of 50 patients were included. Baseline nodule volume, higher ACR-TIRADS score, and higher body mass index (BMI) were identified as independent predictors of SVR (p < 0.05). At 12 months, 18.4% of patients reported persistent compressive symptoms; however, no significant predictors of symptom persistence were identified. Conclusions: RFA is effective in reducing benign thyroid nodule volume, with a minority of patients experiencing persistent symptoms. Baseline nodule volume, ultrasonographic characteristics, and BMI significantly influence RFA outcomes, suggesting the need for additional procedures. Further studies are required to identify predictors of treatment response, enhancing patient selection and optimizing therapeutic efficacy. Full article

Background/Objectives: Static image captures (SICs) are the prevailing methodology for documenting thyroid nodules (TNs) on ultrasound examinations. Ultrasound cine-loop (CL) video sequences of the thyroid enable the storage and review of the entire organ in PACS, analogous to sectional imaging modalities such as CT or MRI. Expanding on SIC, the collection of more extensive datasets is possible, with the potential to enhance diagnostic performance. However, there is an absence of reliable data concerning this process. Methods: This retrospective, tertiary care, single-center study included all patients with cytologically and histopathologically diagnosed TNs from 01/16 to 12/23. A standardized CL protocol was routinely acquired in addition to conventional SIC. The diagnostic performance of ACR and Kwak TIRADS was examined for both CL and SIC in a PACS. Advantages, challenges, and limitations of CL were analyzed. Conclusions: In total, 189 patients with 329 TNs (78% females, aged 54 ± 15 years; 76% diagnosed via surgery; 14% malignant) were included. On SIC, 58 TNs (18%) were not identified (all benign). When comparing CL with SIC, a strong correlation was observed for nearly all ultrasound features (echogenicity, composition, margin, and foci; each p < 0.001) and both TIRADSs (each p < 0.001). The diagnostic accuracy of CL was slightly superior, with maximum values of 85% for ACR and 87% for Kwak TIRADS, respectively. Rating confidence and image quality exhibited superiority on SIC (each p < 0.001). The occurrence of image artifacts was more prevalent in CL (p < 0.001). The integration of cine loops into thyroid ultrasound was found to be a seamless process, thereby enhancing the risk stratification of nodules. Image quality impairments manifested more frequently in cine loops, while static image captures demonstrated higher levels of assessment confidence. Full article

Background/Objectives: Accurate diagnosis of thyroid cancer is critical but challenging due to overlapping ultrasound (US) features of benign and malignant nodules. This study aimed to evaluate the diagnostic performance of non-invasive and minimally invasive US techniques, including B-mode US, shear wave elastography (SWE), color Doppler, superb microvascular imaging (SMI), and TI-RADS, in patients with suspected thyroid lesions and to assess their reliability and cost effectiveness compared with fine needle aspiration (FNA) biopsy. Methods: A prospective, single-center study (October 2023–February 2025) enrolled 300 patients with suspected thyroid cancer at a Spanish tertiary hospital. Of these, 296 patients with confirmed diagnoses underwent B-mode US, SWE, Doppler, SMI, and TI-RADS scoring, followed by US-guided FNA and Bethesda System cytopathology. Lasso-penalized logistic regression and a bootstrap analysis (1000 replicates) were used to develop diagnostic models. A utility function was used to balance diagnostic reliability and cost. Results: Thyroid cancer was diagnosed in 25 patients (8.3%). Elastography combined with SMI achieved the highest diagnostic performance (Youden index: 0.69; NPV: 97.4%; PPV: 69.1%), outperforming Doppler-only models. Intranodular vascularization was a significant risk factor, while peripheral vascularization was protective. The utility function showed that, when prioritizing cost, elastography plus SMI was cost effective (α < 0.716) compared with FNA. Conclusions: Elastography plus SMI offers a reliable, cost-effective diagnostic rule for thyroid cancer. The utility function aids clinicians in balancing reliability and cost. SMI and generalizability need to be validated in higher prevalence settings. Full article