Search Results (98)

Background and aims. Nonalcoholic fatty liver disease (NAFLD) is a prevalent chronic liver disease associated with cirrhosis, hepatocellular carcinoma, and increased risks of liver-related and cardiovascular mortality. Many patients, however, remain asymptomatic until advanced stages. The gamma-glutamyl transferase to high-density lipoprotein cholesterol (GGT/HDL-C) ratio is a simple, noninvasive marker reflecting hepatic dysfunction and cardiometabolic imbalance. This study assessed its association with NAFLD and determined an optimal cutoff for identifying NAFLD. Methods. We conducted a cross-sectional analysis of 575 adults undergoing routine health examinations at the University of Medicine and Pharmacy Hospital in Ho Chi Minh City between 2021 and 2023. Participants with significant alcohol intake, viral hepatitis, or other chronic liver diseases were excluded. NAFLD was diagnosed by standardized abdominal ultrasonography based on increased hepatic echogenicity relative to the renal cortex or spleen. Associations between GGT/HDL-C and NAFLD were assessed by logistic regression (both as a continuous variable and by quartiles), and diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. Statistical significance was defined as a two-tailed p-value < 0.05. Results. Individuals with NAFLD showed significantly higher BMI, prevalence of hypertension and diabetes, and elevated glucose, HbA1c, AST, ALT, GGT, cholesterol, triglycerides, and LDL-C, along with lower HDL-C. Each unit increase in the GGT/HDL-C ratio was associated with a 2% increase in the odds of NAFLD based on univariate logistic regression analysis. However, after adjustment for demographic and metabolic covariates, the GGT/HDL-C ratio was no longer independently associated with NAFLD. The highest quartile had an odds ratio of 7.05 (95% CI: 4.2–11.83) compared to the lowest. The area under the ROC curve for GGT/HDL-C was 0.72, outperforming GGT or HDL-C alone. A cutoff of 32.47 UI/mmol had 72.4% sensitivity and 63.3% specificity. Conclusions. The GGT/HDL-C ratio showed a significant unadjusted association with NAFLD and moderate discriminatory performance. However, because the association was no longer significant after full adjustment, the ratio should currently be considered a simple laboratory-based screening marker that requires further validation before routine clinical application. Full article

Background: Neurological disease may lead to malnutrition through disease-related complications, underscoring the need for accurate muscle assessment. This study aims to evaluate an AI-based tool for quantifying and characterizing muscle ultrasound images, comparing its performance with the usual techniques of muscle mass and function. Methods: This was a prospective, open-label, longitudinal observational study of 117 adults with neurological disorders at high nutritional risk, designed to evaluate nutritional status and clinical evolution. The clinical assessment integrated anthropometry, bioelectrical impedanciometry, handgrip strength, dysphagia testing, and rectus femoris quadriceps ultrasound. Ultrasound images were evaluated through an AI-based platform to extract muscle quantity (rectus femoris muscle area (RFMA) and rectus femoris muscle thickness (RFMT) and quality biomarkers (percentage of low-echogenicity areas (Mi), interpreted as muscle; percentage of medium-echogenicity areas (FATi), interpreted as intramuscular fat). Patients were followed for two years to record mortality. Results: The sample included 117 adults with neurological disorders (52.1% women), with a mean age of 63.01 (16.14) years. A total of 77 patients (65.8%) had a condition with direct neuromuscular involvement. According to Global Leadership Initiative on Malnutrition (GLIM) criteria, 73 patients (62.4%) had malnutrition, while 30 patients (25.6%) had severe malnutrition. There were no differences in muscle mass parameters, but patients with neuromuscular involvement (NM) had lower values of percentage of Mi (NM: 42.44 (9.09%) vs. 47.36 (7.74)%; p < 0.01), and higher values of FATi (41.91 (5.71)% vs. 39.15 (4.89)%). The prevalence of mortality was 26 patients (22.2%). In the multivariate analysis, FATi (above median) (OR = 5.11 (IC95%: 1.26–20.67)) increased risk of death, adjusted by age, neuromuscular involvement, sex, and Mi. Conclusions: Patients with neuromuscular disorders showed a markedly lower proportion of Mi and a higher presence of FATi compared to those with non-neuromuscular conditions. Mortality was associated with greater FATi on AI-based ultrasound analysis. These findings suggest AI-enhanced imaging captures clinically relevant tissue alterations with potential prognostic value; however, given the observational data and heterogeneity of neurological conditions, these implications should be interpreted cautiously. Full article

Background/Objectives: This study investigates the correlation between substantia nigra (SN) hyperechogenicity, detected via transcranial sonography (TCS), and retinal thinning in patients with Parkinson’s disease (PD). Methods: In this cross-sectional study, 86 PD patients (172 eyes) underwent clinical assessment (UPDRS, Hoehn–Yahr), TCS for SN area measurement, and optical coherence tomography (OCT) for retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), and macular thickness analysis. Results: PD patients exhibited significant thinning of the GCIPL, average RNFL, and central macular thickness compared to healthy controls (p < 0.001 in all instances). Pathological SN hyperechogenicity (>0.19 cm²) was detected in 85.9% of patients with a preserved temporal bone window (71 out of 86). A significant negative correlation was found specifically between the SN echogenic area and central macular thickness (r = −0.248, p = 0.003). Patients with pathological SN findings had a significantly thinner central macula (p = 0.006) compared to those with a normal SN, while no significant correlations were observed between the SN area and RNFL or GCIPL. Conclusions: These findings demonstrate a specific correlation between SN hyperechogenicity and central macular thinning. While RNFL and GCIPL effectively differentiate PD from controls, the central macula might serve as a promising biomarker candidate reflecting SN changes. Further longitudinal studies are required to evaluate the role of these combined markers in the PD diagnostic algorithm. Full article

Background/Objective: Ultrasound is the first-line imaging modality for thyroid nodule assessment; however, it remains highly operator-dependent and subject to interobserver variability. Artificial intelligence (AI)-based systems have been proposed to improve reproducibility, yet evidence regarding their agreement with clinician assessment—particularly at the level of individual sonographic features—remains limited. Importantly, most available studies evaluate concordance rather than true diagnostic accuracy against an independent reference standard. To evaluate agreement between an AI-based ultrasound system and expert clinician assessment in thyroid nodule evaluation, focusing on concordance of size measurements, agreement in sonographic feature classification, and exploratory diagnostic performance relative to cytological outcomes. Methods: This retrospective single-center study included 74 thyroid nodules from adult patients undergoing routine ultrasound examination. Archived ultrasound images were independently assessed by an experienced clinician and an AI-based system. Agreement for quantitative measurements was evaluated using Bland–Altman analysis, while categorical features were assessed using percent agreement and Cohen’s kappa coefficients. Calibration was examined using scatter plots with the line of identity. Cytological results, when available, were used as a non-uniform exploratory reference standard for diagnostic analyses. Exploratory diagnostic performance was assessed using receiver operating characteristic (ROC) curves and area under the curve (AUROC) estimates. Given the study design, analyses primarily reflect agreement and measurement concordance rather than true diagnostic accuracy. Results: AI-derived and clinician measurements demonstrated strong agreement across all dimensions, with minimal systematic bias and stable calibration patterns. A small but consistent underestimation of one measurement axis by approximately 1 mm was observed. For categorical features, agreement ranged from fair to moderate (κ = 0.196–0.368), with the highest concordance for echogenic foci and lowest for echogenicity. Exploratory analyses showed variable diagnostic discrimination, with the best performance observed for size measurements and selected sonographic features. Conclusions: AI-based ultrasound analysis demonstrates robust agreement with clinician assessment for quantitative thyroid nodule measurements, while agreement for categorical feature classification remains moderate and variable. The findings highlight that the present study evaluates concordance rather than definitive diagnostic accuracy, particularly given the lack of a uniform independent reference standard. These results support the role of AI as an assistive tool in thyroid ultrasound practice, improving measurement reproducibility while requiring ongoing clinician oversight for qualitative interpretation. Full article

The canine supraspinatus insertion tendon (SIT) is frequently involved in shoulder disorders; however, objective ultrasonographic reference data remain limited. This study aimed to describe the ultrasonographic appearance of the SIT in clinically non-lame dogs and to develop a reproducible protocol for the quantitative analysis of tendon thickness and relative echogenicity. Thirty-five clinically non-lame dogs (70 shoulders) underwent prospective B-mode ultrasonography. On ultrasonographic examination, the SIT appeared as a structure composed of two clearly differentiated regions: a proximal region, which was thinner and more hyperechoic, and a distal region, which was thicker, relatively more hypoechoic, and attached to the bone surface. These findings were consistent with previous descriptions of the SIT ultrasonographic appearance reported in the literature. Tendon thickness and mean echogenicity were evaluated in both regions. Mean echogenicity was quantified using region-of-interest analysis and pixel intensity histograms, with trapezius muscle echogenicity used for background normalisation. Paired statistical tests and Pearson correlation analyses were performed. No significant differences were identified between the left and right SIT measurements for either thickness or relative echogenicity (p > 0.05). The distal region was significantly thicker than the proximal region (p < 0.001). Relative echogenicity also differed significantly between regions: the proximal region was more hyperechoic and heterogeneous, whereas the distal region was more homogeneous and hypoechoic (p < 0.001). Body weight and height were positively associated with tendon thickness, whereas associations with mean echogenicity were reduced after normalisation to trapezius muscle echogenicity. In conclusion, the canine SIT comprises two ultrasonographically distinct regions that differ in thickness and echogenicity. The proposed protocol provides an objective and standardized method for the quantitative ultrasonographic evaluation of tendon structure in dogs. However, this study represents a preliminary assessment of the SIT ultrasonography, and a larger sample size is required to confirm the statistical results obtained. Full article

Introduction/Aims: Quantitative analysis of nerve echogenicity can support the diagnosis of mono- and polyneuropathies, for instance by distinguishing inflammatory-demyelinating from axonal damage. However, echogenicity is mainly assessed qualitatively and examiner-dependently. This study aimed to establish quantitative reference data for grayscale values of peripheral nerves in the upper and lower extremities of healthy children and adolescents to provide a clinical benchmark. Methods: We retrospectively analyzed ultrasound data from 211 healthy children aged two to seventeen years who had undergone standardized examinations of 15 peripheral nerve sites. Grayscale analysis (0–255 levels per pixel) was performed within manually defined regions of interest (ROIs) using ImageJ (version 1.52). Echogenicity values were correlated with age, weight, height, and body mass index (BMI). Results: Echogenicity showed no significant overall association with biometric parameters. Mean grayscale values ranged from 85.23 ± 2.16 for the tibial nerve at the medial malleolus to 134.62 ± 2.69 for the sural nerve. Gain settings below 60 resulted in significantly lower grayscale values, whereas measurements with gain ≥ 60 were stable and comparable. Discussion: We propose reference grayscale ranges for peripheral nerves in healthy children and adolescents as a practical benchmark for clinical use and future studies. Due to technical constraints—particularly retrospective image processing and non-lossless data export—each laboratory should establish its own reference dataset, or multicentric parameters should be established. As our sample consisted predominantly of Caucasian participants, ethnic differences should be considered when applying these values to other populations. Full article

Background/Objectives: Breast cancer continues to be one of the most serious and common afflictions affecting women around the globe. Despite ultrasound imaging being an effective method for the detection of abnormalities in dense breast tissues, there are a number of drawbacks when utilizing this method, including the subjective nature of the imaging and the variant nature of the imaging due to the cognitive biases of the interpreting expert and the experience of the interpreting expert. The above factors are the cause of the increased need in the implementation of AI-driven models for diagnostic analysis. In this research, we provide a hybrid deep learning-based framework for cancer classification of the breast cancer ultrasound image dataset (‘BUSI dataset’). Methods: The contributing models of the proposed architecture involve the combination of a light ViT encoder and an EfficientNetV2-RW-S feature extractor. The combination mentioned leverage the positive sensitivities of the convolutional neural networks (CNNs) and the global reasoning neural networks (i.e., transformers) in the explanation of the architecture. The reason being, EfficientNetV2 diminishes the capture of the fine-grained morphological components of the lesions, edges, and echogenic variances of the tissue, whereas the transformer model diminishes the long-range dependencies of the lesions and other surrounding tissues. Results: The experimental results from the proposed hybrid model of the architecture demonstrates an enhanced classification accuracy of 97.95%, in contrast to the self-standing models of the architecture, the hybrid model supersedes the isolated ViT model (i.e., 89%) and the isolated CNN model (i.e., 80%) frameworks. Furthermore, the proposed model hybrid architecture also diminishes the overall self-attention computational complexity of the proposed model by substantially diminishing the number of tokens reaching an overall count of 10 (from the vast 197 tokens). This further leads to a substantial decrease in the memory and cost expended during the attention processes. Conclusions: Overall, this study proposes a method for the improved diagnostic and computational analysis, suggesting the proposed architecture to be a potential framework for use in the contemporary clinical environments. Full article

Background: Fine-needle aspiration biopsy (FNAB) is the standard initial diagnostic procedure for thyroid nodules; however, a considerable proportion of results are non-diagnostic or indeterminate, often requiring repeat procedures and delaying management. Core needle biopsy (CNB) has been proposed as a second-line option. This study evaluated the frequency of non-conclusive FNAB and CNB results and assessed the diagnostic contribution of CNB in nodules with initially non-conclusive FNAB findings. Methods: A retrospective–prospective study was conducted between 2019 and 2025 at a tertiary referral center, including 434 thyroid nodules. Ultrasound risk stratification followed ACR TI-RADS criteria. FNAB was performed in 430 nodules, and CNB in 85 nodules, including 82 evaluated by both methods. Biopsy results were classified according to the Bethesda system as conclusive or non-conclusive. Paired comparisons were analyzed using the McNemar test, and associations with ultrasound risk were assessed. Results: FNAB produced non-conclusive results in 56.5% of cases, compared with 23.5% for CNB. In paired analysis, 53.7% of nodules with non-conclusive FNAB were reclassified as conclusive after CNB (p < 0.001). CNB significantly distinguished benign from malignant lesions, unlike FNAB. Hypoechogenicity, irregular margins, and punctate echogenic foci were independent predictors of malignancy. Minor complications were more frequent after CNB, while major complications were rare in both groups. Conclusions: CNB improves diagnostic yield when used as a second-line procedure in nodules with non-conclusive FNAB findings. Selective use in higher-risk nodules may reduce repeat procedures and facilitate more structured clinical management. Full article

Emphysematous cholecystitis is a rare but severe variant of acute cholecystitis characterized by gas-forming organisms within the gallbladder wall or lumen. It progresses rapidly and carries substantial mortality, making early and accurate recognition essential. Although its pathogenesis involves gallbladder wall ischemia with superimposed infection by gas-producing bacteria—most commonly Clostridium species—the clinical presentation is often nonspecific, particularly in patients with diabetes mellitus or immunosuppression. Imaging therefore serves as the cornerstone of diagnosis. Abdominal radiographs may demonstrate intraluminal or intramural gas, while ultrasound can reveal echogenic foci with reverberation artifacts, though overlying bowel gas and diagnostic mimics may limit sensitivity. Computed tomography remains the most accurate modality, precisely delineating gas within the gallbladder wall, lumen, or adjacent tissues and facilitating urgent surgical or percutaneous intervention. Magnetic resonance imaging offers complementary soft tissue characterization when computed tomography is contraindicated. This review synthesizes traditional imaging findings and emerging diagnostic innovations by critically comparing modality-specific strengths, limitations, and pitfalls. Dual-energy and photon-counting computed tomography enhance tissue contrast and gas conspicuity, while artificial intelligence-assisted image analysis enables earlier detection and expedited triage in emergency settings. By integrating evolving technologies with established radiologic principles, this article provides a forward-looking framework for improving diagnostic precision and ultimately enhancing outcomes for patients with emphysematous cholecystitis. Full article

Background/Objectives: Solid tumors are characterized by a dense stromal structure and heterogeneous microenvironments that limit intratumoral drug penetration and contribute to immune exclusion. We developed perfluoropentane (PFP)-based phase-change nanodroplets (IMP700) and aimed to identify focused ultrasound (FUS) parameters that enhance cavitation and sonoporation to improve drug delivery and immune engagement in tumor models. Methods: IMP700 was prepared as lipid-shelled PFP nanodroplets and physicochemically characterized. Acoustic droplet vaporization (ADV), echogenicity, and cavitation were evaluated in vitro and in vivo using ultrasound imaging and cavitation analysis under varying FUS parameters, including acoustic intensity, duty cycle, and pulse repetition frequency (PRF), in PANC-1 xenograft tumors. Sonoporation was assessed by co-administering an ultrasound-responsive doxorubicin liposome (IMP301), and intratumoral drug distribution was analyzed by confocal imaging. Immune responses were evaluated in a syngeneic 4T1 tumor model by quantifying CD8⁺ T-cell infiltration after repeated treatments. Results: IMP700 exhibited nanoscale size and high PFP encapsulation efficiency and underwent ADV with increased echogenicity and intensity-dependent cavitation. In vivo, a 2% duty cycle and 10 Hz PRF produced strong and reproducible cavitation. Under these conditions, IMP700 markedly increased inertial cavitation and enhanced intratumoral drug penetration compared to FUS alone. Combined IMP700 and FUS treatment also increased intratumoral CD8⁺ T-cell infiltration. Conclusions: IMP700 amplifies FUS-induced cavitation, improves sonoporation-mediated drug delivery, and promotes CD8⁺ T-cell infiltration, which supports the use of FUS-activated nanodroplets as a strategy to overcome stromal and immunological barriers in solid tumors. Full article

Background: Cellulite is a highly prevalent condition with dermal and subcutaneous alterations poorly captured by visual grading systems. Ultrasound has emerged as a non-invasive imaging modality capable of objectively quantifying morphological features relevant to cellulite. This systematic review evaluated the evidence on ultrasound for the diagnosis, structural characterization, and treatment monitoring of cellulite, identifying methodological limitations and research gaps. Methods: This systematic review (PROSPERO:CRD420251185486) followed the PRISMA statement. Searches were conducted in PubMed, Scopus, and CENTRAL up to November 2025. Risk of bias was evaluated using ROBINS-I and the Newcastle–Ottawa Scale. Results: Nine studies involving 785 participants were included. Ultrasound frequencies ranged from 12 to 35 MHz, with some scanners operating across broader bandwidths. Despite variability in devices, acquisition protocols, and clinical comparators, all studies consistently demonstrated that ultrasound quantifies key structural characteristics of cellulite. Diagnostic investigations reported moderate-to-strong correlations (r ≈ 0.31–0.64) between ultrasound-derived measures and clinical severity scores. Interventional studies showed measurable reductions in dermal and subcutaneous thickness, decreased adipose protrusion height, and improved dermal echogenicity across multiple treatment modalities. Ultrasound frequently detected microstructural remodeling not readily visible on clinical examination. Conclusions: Ultrasound is a valuable imaging modality for objectively characterizing cellulite and monitoring treatment-induced tissue remodeling. Standardized acquisition protocols, validated analytic criteria, and larger controlled studies are needed to support integration into routine dermatologic and esthetic practice. The quantitative and reproducible nature of ultrasound-derived parameters also provides a suitable foundation for future integration with data-driven and artificial intelligence–based image analysis frameworks. Full article

Background: Carotid plaque composition is central to stroke risk, but some aspects of plaque characterization are derived from ex vivo imaging, while clinical decision-making relies on in vivo ultrasound (US) and computed tomography (CT). High correlation of clinical in vivo and ex vivo imaging is necessary when including ex vivo plaque features in artificial intelligence (AI) models, but the extent of this correlation between CT and US remains poorly understood. Methods: Patients undergoing carotid endarterectomy (n = 188) were enrolled. Preoperative carotid US (n = 182) and CT (n = 156) were performed. Plaque specimens from 187 patients were imaged on ex vivo CT and US. Quantitative metrics included plaque volumes, relative calcified/non-calcified volumes, HU and grayscale distributions, Agatston and calcification scores, and heterogeneity indices (coefficient of variation). Qualitative US parameters (echogenicity, juxtaluminal echolucency, discrete white areas) were visually graded. Correlation between in vivo and ex vivo imaging was assessed, and agreement was quantified for parameters with the highest correlation with Bland–Altman analysis. Results: CT of patients and ex vivo CT showed moderate to strong correlation for total, calcified, and non-calcified plaque volumes and whole-plaque mean HU (r = 0.55–0.79; CCC = 0.43–0.74). Agatston and calcification scores correlated strongly (r = 0.78–0.80; CCC = 0.63–0.76). In contrast, most non-calcified and heterogeneity metrics showed negligible-to-weak correlation. Correlations between in vivo and ex vivo US were substantially weaker (maximum correlation: 75th grayscale percentile r = 0.35). In vivo CT overestimated calcified volume (bias: 8.7%) and in vivo US underestimated the 75th grayscale quantile (bias: −25.5 grayscale). Conclusions: Quantitative CT metrics—particularly relative calcified plaque volume and calcium scores—translate reasonably well from ex vivo to in vivo imaging and represent robust candidates for radiomics and AI-based stroke risk models, even ex vivo. Ultrasound parameters show limited translational validity, underscoring the need for volumetric clinical US and discouraging the inclusion of ex vivo ultrasound features for machine learning applications. Full article

Background: Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder characterized by cutaneous and subcutaneous neurofibromas, which impact quality of life. Dermoscopy-guided high-frequency ultrasound (DG-HFUS) integrates dermoscopy with 33 MHz ultrasound, enabling precise lesion localization and reproducible measurements. Objective: To characterize neurofibromas in NF1 patients using DG-HFUS and identify imaging parameters for diagnosis, monitoring, and treatment planning. Methods: 14 genetically confirmed NF1 patients underwent DG-HFUS imaging (Dermus SkinScanner). 100 neurofibromas were assessed for size, location, shape, contours, surface, echogenicity, global echogenicity, and posterior acoustic features. Results: Lesions were dermal (79%) or subcutaneous (21%), round (28%), ovoid (63%), or spiked (9%). Mean vertical and lateral diameters were 5.37 ± 2.66 mm and 2.28 ± 1.39 mm. All were hypoechoic; 62% homogeneous, 38% heterogeneous. Margins were well-defined in 57% and poorly defined in 43%. Posterior enhancement occurred in 3% and shadowing in 10%. Conclusions: DG-HFUS provides a detailed, reproducible assessment of neurofibromas, supporting differential diagnosis, surgical planning, and longitudinal monitoring. The evaluated imaging parameters offer objective insights for optimizing NF1 management. Future developments, including 3D reconstruction and AI-assisted analysis, may further enhance its clinical utility. Full article

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

Objective: Restless legs syndrome (RLS) is a highly prevalent neurological complication in end-stage renal disease (ESRD) patients. This study aimed to explore the transcranial sonography (TCS) characteristics of the substantia nigra (SN) and brainstem raphe (BR) in ESRD patients with and without RLS and to evaluate the diagnostic value of SN echogenicity for ESRD-related RLS. Methods: A total of 65 ESRD patients (45 with RLS [ESRD + RLS] and 20 without RLS [ESRD − RLS]) from the dialysis center and 30 age- and gender-matched healthy controls (NC) from the health management center were enrolled between January 2017 and December 2022. All participants underwent TCS to measure the bilateral SN echogenic area, and the total SN echogenic area (SNsA) was calculated. BR echogenicity was assessed using a semiquantitative scale. Receiver operating characteristic (ROC) curves were plotted to determine the optimal SNsA cutoff for diagnosing ESRD + RLS. Results: The SNsA in the ESRD + RLS group [0.15 (0.13–0.22) cm²] was significantly smaller than that in the ESRD − RLS group [0.27 (0.23–0.31) cm²] and the NC group [0.27 (0.22–0.30) cm²] (both p < 0.001). ROC curve analysis showed that SNsA had the highest diagnostic efficacy for ESRD + RLS, with an area under the curve (AUROC) of 0.823 (95% confidence interval [CI]: 0.722–0.924). At a cutoff of 0.22 cm², SNsA yielded a sensitivity of 85.0%, specificity of 73.3%, accuracy of 76.92%, positive predictive value (PPV) of 58.6%, and negative predictive value (NPV) of 91.7%. The prevalence of BR hypoechogenicity was significantly higher in ESRD + RLS (33.33%) and ESRD − RLS (35.00%) groups than in the NC group (10.00%) (both p < 0.05), but no difference was observed between the two ESRD subgroups (p > 0.05). No significant differences in third ventricle (TV) width or bilateral middle cerebral artery peak systolic velocity (MCA-PSV) were found among the three groups (all p > 0.05). Conclusions: ESRD + RLS patients exhibit significant SN hypoechogenicity compared with ESRD − RLS patients and healthy controls. SNsA with a cutoff of 0.22 cm² serves as a reliable imaging biomarker for diagnosing ESRD + RLS, and TCS is a valuable noninvasive tool to assist clinical decision-making in this population. Full article