The Value of Contrast-Enhanced Ultrasound in Diagnosing Small Renal Cell Carcinoma Subtypes and Angiomyolipoma.

OBJECTIVES: To retrospectively explore the value of contrast-enhanced ultrasound (CEUS) in differentiating small renal cell carcinomas (RCCs) from angiomyolipomas (AMLs), and distinguishing between clear cell RCC (ccRCC), papillary RCC (pRCC), and chromophobe RCC (chRCC). METHODS: A total of 151 patients with small renal masses (110 ccRCCs, 12 pRCCs, 9 chRCCs, and 20 AMLs) were enrolled between August 2016 and October 2019. RESULTS: There were significant differences in terms of enhancement intensity (EI), enhancement homogeneity, perilesional rim-like enhancement (PRE), wash in, and wash out (WO) between RCC and AML (P = .000, .011, .000, .001, .000, respectively). Although there was no significant difference in EI between pRCC and chRCC (P = .272), EI of ccRCC was higher than that of pRCC (P = .000) and chRCC (P = .010). Multivariate regression analysis showed PRE and fast WO were related to RCC (OR = 18.189, 15.141, respectively). Although there were no significant differences in the sensitivity and area under the curve (AUC) between PRE and fast WO (95.0% vs. 95.0%, P = 1.000 and .880 vs. 0.799, P = .123, respectively), the specificity of PRE in predicting RCC was higher than that of fast WO (80.92% vs. 64.89%, P = .011). The sensitivity, specificity, and AUC of the two characteristics combination for differentiating RCC from AML were 95.0%, 90.8%, and 0.920, respectively, and that of EI for differentiating between ccRCC, pRCC, and chRCC were 81.0%, 78.2%, and 0.796, respectively. CONCLUSIONS: CEUS has value in differentiating small RCCs from AMLs and distinguishing ccRCC, a subtype associated with a greater likelihood of malignant behavior from pRCC and chRCC.

Effects of Two Botulinum Toxin Type a Evaluated by Shear Wave Elastography and Electromyographic Measurements of Masseter Reduction.

ABSTRACT: The purpose of this study was to evaluate the efficacy and safety of onabotulinumtoxin A and Chinese botulinum toxin type A (CBA) for masseter reduction using elastography and electromyographic measurement. Female subjects aged 21 to 38 years with benign masseter hypertrophy received 1 treatment of either 50 units onabotulinumtoxin A or 50 units CBA in a double-blind clinical trial. The study enrolled 102 subjects (204 sides of masseters); 51 subjects per group. The thickness and stiffness of the masseter muscle and the electromyographic changes were evaluated before and 1, 4, 12, and 24 weeks after injection. One week after injection, the thickness of the masseter muscle did not change significantly, but the stiffness was reduced by 5% to 9%. After 4 weeks of injection, masseter muscle thickness, stiffness and strength decreased significantly compared with before injection. The changes were significantly at 12 weeks. Muscle stiffness measured by Shear-wave elastography was significantly reduced by 20% to 32% in the relaxed state and 25% to 47% in the contractile state. The electromyography showed that masseter muscle strength changed consistently with Shear-wave elastography value before and after injection. Six months after injection, ultrasound and electromyography showed that the masseter muscle thickness and stiffness began to recover. Between the 2 groups, there are no significant difference in thickness, stiffness and muscle strength reduction of masseters after treatment ( P > 0.05), as well as in side effects ( P > 0.05). Onabotulinumtoxin A and CBA were comparable in the efficacy and safety for masseter reduction.

The independent indicators for differentiating renal cell carcinoma from renal angiomyolipoma by contrast-enhanced ultrasound.

BACKGROUND: The value of contrast-enhanced ultrasound (CEUS) in differentiating between renal cell carcinoma (RCC) and angiomyolipoma (AML) was analyzed. The purpose of this study was to identify the independent indicators of CEUS for predicting RCC. METHODS: A total of 172 renal tumors (150 RCCs, 22 AMLs) in 165 patients underwent conventional ultrasound (CUS) and CEUS examinations before radical or partial nephrectomy, and the features on CUS and CEUS were analyzed. RESULTS: There were significant differences in echogenicity, blood flow signals in color Doppler flow imaging (CDFI), peak intensity, homogeneity of enhancement, wash in, wash out, and perilesional rim-like enhancement between RCC and AML (P < 0.05 for all). Multivariate analysis indicated that perilesional rim-like enhancement (P = 0.035, odds ratio [OR] = 9.907, 95% confidence interval [CI]: 1.169-83.971) and fast wash out (P = 0.001, OR = 9.755, 95%[CI]: 2.497-38.115) were independent indicators for predicting RCC. The area under the receiver operating characteristic (ROC) curve (AUC) for perilesional rim-like enhancement was 0.838 (95% CI: 0.774-0.890) with 76.7% sensitivity and 90.9% specificity, while the AUC of fast wash out was 0.833 (95% CI:0.768-0.885) with 74.7% sensitivity and 81.8% specificity. CONCLUSIONS: This study indicated that CEUS has value in differentiating RCC and AML. Present perilesional rim-like enhancement and fast wash out may be important indicators for predicting RCC.

The values of shear wave elastography in avoiding repeat fine-needle aspiration for thyroid nodules with nondiagnostic and undetermined cytology.

OBJECTIVE: To evaluate the value of shear wave elastography (SWE) in avoiding repeat fine-needle aspiration of thyroid nodules with nondiagnostic and undetermined cytology. METHODS: A total of 232 thyroid nodules with nondiagnostic (n = 132) and undetermined (n = 100) cytology underwent ultrasound (US) and SWE, followed by repeat ultrasound (US)-guided fine-needle aspiration cytology (FNAC). The final diagnosis was based on cytological or pathological findings. The US and SWE characteristics of benign and malignant nodules were compared using the χ2 -test. The receiver operating characteristic (ROC) curves of the thyroid imaging reporting and data system (TI-RADS) categories from the US and the EMean and ESD from the SWE were graphed, and the areas under the curves (AUCs) were compared using a Z test. RESULTS: There were significant differences between the benign and malignant nodules in terms of the echogenicity, shape, margin, calcification and TI-RADS categories (all P < 0.05). The differences were significant between the malignant and benign nodules for EMean [(34.57 ± 14.81) kPa vs. (19.18 ± 7.09) kPa] and ESD [(13.68 ± 13.01) kPa vs. (3.97 ± 2.58) kPa] (both P < 0.001). Though the difference in the AUCs of EMean (0.864) and ESD (0.876) was not significant (P = 0.745), they both had higher diagnostic performances in comparison with TI-RADS categories (0.762) (all P < 0.05). Moreover, ESD attained a sensitivity of 100% with a relatively higher specificity of 49.75% when its cut-off value was 3.3 kPa. CONCLUSIONS: Shear wave elastography is a promising imaging method for reducing repeat FNAC for benign thyroid nodules with nondiagnostic and undetermined cytology when using ESD as an index.

Identification of implanted mesh after incisional hernia repair using an automated breast volume scanner.

OBJECTIVES: This study aimed to evaluate the utility of an automated breast volume scanner (ABVS) versus handheld ultrasound (US) for identifying implanted mesh after incisional hernia repair. METHODS: In vitro, the appearances of 3 samples of different flat mesh and a mesh plug on both ABVS and handheld US examinations were evaluated. In vivo, 97 patients received both ABVS and handheld US examinations in the incisional region. The frequency used for handheld US was 11 MHz. The presence of the previously implanted mesh in the incisional region was evaluated and compared between the US modalities. The identified results were confirmed by surgical findings. RESULTS: In the in vitro study, the ABVS had more visualized and efficient imaging results for implanted mesh than handheld US. In the in vivo study, among 97 cases, 39 and 32 were identified as regions with mesh by the ABVS and handheld US, respectively. The ABVS had better identification performance than handheld US in terms of accuracy (94.8% versus 83.5%), sensitivity (90.5% versus 69.0%), and specificity (98.2% versus 94.5%). The κ values showed that handheld US had substantial agreement with surgical findings (κ = 0.78; 95% confidence interval, 0.66-0.90), whereas the ABVS had almost perfect agreement with surgical findings (κ = 0.93; 95% confidence interval, 0.86-1.00). More importantly, the ABVS could display the texture of lightweight mesh in the coronal plane. The specificity and sensitivity for mesh texture were 100.0% (55 of 55) and 94.4% (17 of 18), respectively. CONCLUSIONS: The use of an ABVS may help identify the presence of implanted mesh after incisional hernia repair in some cases in which the implant is difficult to appreciate on handheld US imaging with an 11-MHz transducer.

Diagnostic value of an automated breast volume scanner for abdominal hernias.

OBJECTIVES: This study explored the diagnostic values of an automated breast volume scanner (ABVS) for abdominal external hernias. METHODS: Conventional sonograms and ABVS images from 128 abdominal external hernias in 104 patients (98 male and 6 female; age range, 41-79 years; mean age ± SD, 68.0 ± 14.6 years) were analyzed. The results were identified by surgical outcomes. The hernia type, hernial ring position, hernial sac size, hernia content, and hernia structure were evaluated by both sonographic modalities. RESULTS: The sensitivity and accuracy differences between the ABVS and conventional sonography for diagnosis of abdominal hernias and hernia size measurements were compared. The hernia types, as confirmed by surgery, included 45 indirect inguinal hernias (30 reducible and 15 irreducible), 12 reducible direct inguinal hernias, 5 femoral hernias, 62 incisional hernias (42 isolated and 20 multiple), and 4 umbilical hernias. The sensitivity of the ABVS was higher than that of conventional sonography for incisional hernias (P < .01), whereas there were no statistical differences in sensitivity for other types of hernias. The ABVS hernial sac number detection rate for both isolated and multiple incisional hernias was significantly higher compared with that of conventional sonography (both P < .01). The ABVS measurements correlated well with surgical results (length, P = .47; width, P = .31). CONCLUSIONS: Automated breast volume scanner images have the outstanding advantage of displaying the entire scope of the internal structure and the relationship with adjacent tissues of abdominal hernias. Therefore, an ABVS has good application prospects for diagnosis of abdominal external hernias and merits further research.

Combining Potential Strain Elastography and Radiomics for Diagnosing Breast Lesions in BI-RADS 4: Construction and Validation a Predictive Nomogram.

RATIONALE AND OBJECTIVES: To develop a nomogram by integrating B-mode ultrasound (US), strain ratio (SR), and radiomics signature (RS) effectively differentiating between benign and malignant lesions in the Breast Imaging Reporting and Data System (BI-RADS) 4. MATERIALS AND METHODS: We retrospectively recruited 709 consecutive patients who were assigned a BI-RADS 4 and underwent curative resection or biopsy between 2017 and 2022. US images were collected before surgery. A RS was developed through a multistep feature selection and construction process. Histology findings served as the gold standard. Univariate and multivariate regression analysis were employed to analyze the clinical and US characteristics and identify variables for developing a nomogram. The calibration and discrimination of the nomogram were conducted to evaluate its performance. RESULTS: The study included a total of 709 patients, with 497 in the training set and 212 in the validation set. In the training set, the B-mode US had an AUC of 0.84 (95% confidence interval [CI], 0.80, 0.87). The SR demonstrated an AUC of 0.78 (95% CI, 0.74, 0.82), while the RS showed an AUC of 0.85 (95% CI, 0.81, 0.88). Notably, the nomogram exhibited superior performance compared to the conventional US, SR, and RS (AUC=0.93, both p < 0.05, as per the Delong test). The clinical usefulness of the nomogram was favorable. CONCLUSION: The calibrated nomogram can be specifically designed to predict the malignancy of breast lesions in the BI-RADS 4 category.

The Emergence of the Potential Therapeutic Targets: Ultrasound-Based Radiomics in the Prediction of Human Epidermal Growth Factor Receptor 2-Low Breast Cancer.

RATIONALE AND OBJECTIVES: To evaluate whether ultrasound-based radiomics features can effectively predict HER2-low expression in patients with breast cancer (BC). MATERIAL AND METHODS: Between January 2021 and June 2023, patients who received US scans with pathologically confirmed BC in this multicenter study were included. In total, 383 patients from institution 1 were comprised of training set, 233 patients from institution 2 were comprised of validation set and 149 patients from institution 3 were comprised of external validation set. Radiomics features were derived from conventional ultrasound (US) images. The minimum redundancy and maximum relevancy and the least absolute shrinkage and selector operation algorithm were used to generate an US-based radiomics score (RS). Multivariable logistic regression analysis was used to select variables associated with HER2 expressions. The diagnostic performance of the RS was evaluated through the area under the receiver operating characteristic curve (AUC). RESULTS: In the training set, the RS yield an AUC of 0.81 (95%CI: 0.76-0.84) for differentiation HER2-zero from HER2-low and -positive cases, and performed well in validation set (AUC 0.84, 95%CI: 0.78-0.88) and external validation set (AUC 0.82, 95%CI: 0.73-0.90). In the subgroups analysis, the RS showed good performance in distinguishing HER2-zero from HER2 1 + , HER2 2 + and HER2-low tumors (AUC range, 0.79-0.87). CONCLUSION: The RS based on conventional US is proven effective for predicting HER2-low expression in BC.

Downgrading Breast Imaging Reporting and Data System categories in ultrasound using strain elastography and computer-aided diagnosis system: a multicenter, prospective study.

OBJECTIVE: To determine whether adding elastography strain ratio (SR) and a deep learning based computer-aided diagnosis (CAD) system to breast ultrasound (US) can help reclassify Breast Imaging Reporting and Data System (BI-RADS) 3 and 4a-c categories and avoid unnecessary biopsies. METHODS: This prospective, multicentre study included 1049 masses (691 benign, 358 malignant) with assigned BI-RADS 3 and 4a-c between 2020 and 2022. CAD results was dichotomized possibly malignant vs. benign. All patients underwent SR and CAD examinations and histopathological findings were the standard of reference. Reduction of unnecessary biopsies (biopsies in benign lesions) and missed malignancies after reclassified (new BI-RADS 3) with SR and CAD were the outcome measures. RESULTS: Following the routine conventional breast US assessment, 48.6% (336 of 691 masses) underwent unnecessary biopsies. After reclassifying BI-RADS 4a masses (SR cut-off <2.90, CAD dichotomized possibly benign), 25.62% (177 of 691 masses) underwent an unnecessary biopsies corresponding to a 50.14% (177 vs. 355) reduction of unnecessary biopsies. After reclassification, only 1.72% (9 of 523 masses) malignancies were missed in the new BI-RADS 3 group. CONCLUSION: Adding SR and CAD to clinical practice may show an optimal performance in reclassifying BI-RADS 4a to 3 categories, and 50.14% masses would be benefit by keeping the rate of undetected malignancies with an acceptable value of 1.72%. ADVANCES IN KNOWLEDGE: Leveraging the potential of SR in conjunction with CAD holds immense promise in substantially reducing the biopsy frequency associated with BI-RADS 3 and 4A lesions, thereby conferring substantial advantages upon patients encompassed within this cohort.

MicroRNAs involved in the mitogen-activated protein kinase cascades pathway during glucose-induced cardiomyocyte hypertrophy.

Cardiac hypertrophy is a key structural feature of diabetic cardiomyopathy in the late stage of diabetes. Recent studies show that microRNAs (miRNAs) are involved in the pathogenesis of cardiac hypertrophy in diabetic mice, but more novel miRNAs remain to be investigated. In this study, diabetic cardiomyopathy, characterized by hypertrophy, was induced in mice by streptozotocin injection. Using microarray analysis of myocardial tissue, we were able to identify changes in expression in 19 miRNA, of which 16 miRNAs were further validated by real-time PCR and a total of 3212 targets mRNA were predicted. Further analysis showed that 31 GO functions and 16 KEGG pathways were enriched in the diabetic heart. Of these, MAPK signaling pathway was prominent. In vivo and in vitro studies have confirmed that three major subgroups of MAPK including ERK1/2, JNK, and p38, are specifically upregulated in cardiomyocyte hypertrophy during hyperglycemia. To further explore the potential involvement of miRNAs in the regulation of glucose-induced cardiomyocyte hypertrophy, neonatal rat cardiomyocytes were exposed to high glucose and transfected with miR-373 mimic. Overexpression of miR-373 decreased the cell size, and also reduced the level of its target gene MEF2C, and miR-373 expression was regulated by p38. Our data highlight an important role of miRNAs in diabetic cardiomyopathy, and implicate the reliability of bioinformatics analysis in shedding light on the mechanisms underlying diabetic cardiomyopathy.

Superb microvascular imaging is as sensitive as contrast-enhanced ultrasound for detecting synovial vascularity in rheumatoid arthritis.

Background: Detection of synovitis is essential for assessing rheumatoid arthritis (RA) activity and predicting prognosis. This study aimed to compare the diagnostic performance of superb microvascular imaging (SMI) with that of contrast-enhanced ultrasound (CEUS) in patients with RA in clinical remission. Methods: SMI and CEUS were applied to 63 patients with active RA and 48 patients with RA in clinical remission. Differences in positive synovial vascularity (SV) and its semi-quantitative scale were observed, and the correlations of SMI and CEUS results with C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and rheumatoid factor (RF) were analyzed. Results: For the 63 joints with active RA, the detection rates of SV as determined by SMI and CEUS were 90.5% (95% CI: 83.0-97.9%) and 93.7% (95% CI: 87.5-99.8%), respectively, with no significant difference observed between the two modalities (t=-1.137; P=0.260). There was good agreement between the two modalities in detecting positive blood flow (Kappa =0.784) and blood flow signal score (Kappa =0.792). For the 48 joints with clinical remission, the detection rates of SV determined by SMI and CEUS were 79.2% (95% CI: 67.2-91.1%) and 83.3% (95% CI: 72.4-94.3%), respectively, with no significant difference found between the two modalities (t=1.000; P=0.322). There was high consistency between the two modalities in detecting positive blood flow (Kappa =0.727) and blood flow signal score (Kappa =0.661). The vascularity scores of SMI and CEUS were positively correlated with CRP, ESR, and RF in the joints with active RA, but not in those with clinical remission. Conclusions: SMI is as sensitive as CEUS for detecting vessels in the synovium and displaying local SV in patients with RA who achieve clinical remission.

The quantitative evaluation of contrast-enhanced ultrasound in the differentiation of small renal cell carcinoma subtypes and angiomyolipoma.

BACKGROUND: Contrast-enhanced ultrasound (CEUS) has been widely used for renal lesion diagnosis and differential diagnosis. However, qualitative analysis of CEUS is subject to examinations with low reproducibility. This study aims to investigate the diagnostic value of CEUS quantitative parameters in differentiating small renal cell carcinoma (RCC) subtypes and angiomyolipoma (AML). METHODS: A retrospective analysis was performed on 97 cases of a small renal mass undergoing a CEUS before a radical or partial nephrectomy procedure. A region of interest (ROI) was placed in the tumor's maximum enhanced region (ROImax) as much as possible, and adjacent renal cortex (ROIrefer) was selected from normal renal tissue around a mass of the same depth. The time-intensity curve (TIC) was used to analyze the ROImax and the ROIrefer of the tumors quantitatively. Then the parameters of the ROImax and the ROIrefer, including the differences between the parameters of the ROImax and the ROIrefer, were analyzed statistically. RESULTS: In RCC and clear cell renal cell carcinoma (ccRCC), the peak intensity (PI), slope (SL), area under the curve (AUC), area under the wash-in curve (AWI), area under the wash-out curve (AWO), time to peak intensity (TTP) and the mean transit time (MTT) were statistically significant between ROImax and ROIrefer (all P=0.000). The △PI (△PI = PImax - PIrefer), △SL (△SL = SLmax - SLrefer), △AUC (△AUC = AUCmax - AUCrefer), △AWI (△AWI = AWImax - AWIrefer) and △AWO (△AWO = AWOmax - AWOrefer) of RCC were significantly higher than in AML (P=0.007, 0.000, 0.003, 0.048, 0.009, respectively), while the TTP (△TTP = TTPmax - TTPrefer) and △MTT (△MTT = MTTmax - MTTrefer) of RCC were significantly lower (both P=0.000). In comparison with papillary renal cell carcinoma (pRCC) and chromophobe renal cell carcinoma (chRCC), the △PI, △SL, △AUC and △AWO of ccRCC were all larger (all P<0.05). The sensitivity, specificity, and AUC of the combination of parameter difference for differentiating RCC from AML were 100%, 81.2%, and 0.965, respectively, and for differentiating ccRCC from pRCC and chRCC, 85.71%, 85.92% and 0.911, respectively. CONCLUSIONS: CEUS quantitative parameters have value in differentiating small RCC from AML and distinguishing ccRCC from pRCC and chRCC.

Autophagy-dependent Na+-K+-ATPase signalling and abnormal urate reabsorption in hyperuricaemia-induced renal tubular injury.

Increasing evidence indicates that hyperuricaemia (HUA) is not only a result of decreased renal urate excretion but also a contributor to kidney disease. Na+-K+-ATPase (NKA), which establishes the sodium gradient for urate transport in proximal tubular epithelial cells (PTECs), its impairment leads to HUA-induced nephropathy. However, the specific mechanism underlying NKA impairment-mediated renal tubular injury and increased urate reabsorption in HUA is not well understood. In this study, we investigated whether autophagy plays a key role in the NKA impairment signalling and increased urate reabsorption in HUA-induced renal tubular injury. Protein spectrum analysis of exosomes from the urine of HUA patients revealed the activation of lysosomal processes, and exosomal expression of lysosomal-associated membrane protein-2 was associated with increased serum levels and decreased renal urate excretion in patients. We demonstrated that high uric acid (UA) induced lysosome dysfunction, autophagy and inflammation in a time- and dose-dependent manner and that high UA and/or NKA α1 siRNA significantly increased mitochondrial abnormalities, such as reductions in mitochondrial respiratory complexes and cellular ATP levels, accompanied by increased apoptosis in cultured PTECs. The autophagy inhibitor hydroxychloroquine (HCQ) ameliorated NKA impairment-mediated mitochondrial dysfunction, Nod-like receptor pyrin domain-containing protein 3 (NLRP3)-interleukin-1ß (IL-1ß) production, and abnormal urate reabsorption in PTECs stimulated with high UA and in rats with oxonic acid (OA)-induced HUA. Our findings suggest that autophagy plays a pivotal role in NKA impairment-mediated signalling and abnormal urate reabsorption in HUA-induced renal tubular injury and that inhibition of autophagy by HCQ could be a promising treatment for HUA.

MicroRNAs target gene and signaling pathway by bioinformatics analysis in the cardiac hypertrophy.

Cardiac hypertrophy is a physiological adaptive response of the heart to diverse pathophysiological stimuli. Initially, it may be adaptive to normalize wall stress and to preserve contractile performance. This adaptive process may gradually progress to dilated cardiomyopathy, fibrotic diseases, arrhythmia, heart failure and even sudden death. Although various molecular pathways responsible for the coordinated control of the hypertrophic program, little is known about their underlying molecular mechanisms. Very recently, increasing evidence showed that miRNAs are key modulators of both cardiovascular development and function, which govern the process of cardiac hypertrophy and heart failure. MicroRNAs (miRNAs) act in a complex functional network in which each single miRNAs might control thousands of distinct target genes, and each single protein-coding gene can be regulated by many different miRNAs. Identifying the roles of miRNAs, their target genes and signaling pathways in cardiac hypertrophy by bioinformatic analysis will provide more insight into the molecular mechanisms underlying this disease process. Currently, bioinformatics resource such as GO and KEGG was applied to describe the miRNAs target genes function and identify the mRNA interaction networks that are responsible for various cellular processes. It provides a useful approach to observe the function of microRNA in physiological and pathological conditions. In this review, we will give a discussion on the dysregulation of specific miRNAs in cardiac hypertrophy and signaling pathways linking the hypertrophy-regulating miRNAs to the pathological process of cardiac hypertrophy. Finally, we place special emphasis on the essential role of bioinformatics analysis to predict the target genes and miRNAs gene networks.

Role of Superb Microvascular Imaging in Differentiating Between Malignant and Benign Solid Breast Masses.

INTRODUCTION: The purpose of this study was to evaluate the diagnostic performance of superb microvascular imaging (SMI) in breast lesions. MATERIALS AND METHODS: Eighty-five solid breast lesions were studied with color Doppler flow imaging (CDFI), power Doppler imaging (PDI), monochromatic SMI (mSMI), and contrast-enhanced ultrasonography (CEUS). The penetrating vessels (PVs) and microvascular morphologic and distribution features of the breast tumors were evaluated for each modality. RESULTS: The diagnostic accuracies of CDFI, PDI, mSMI, and CEUS were calculated and compared. Surgical pathologic analysis showed 47 benign and 38 malignant lesions. Compared with CDFI and PDI, mSMI and CEUS detected more PVs in breast lesions. The microvascular architecture showed significant differences between benign and malignant lesions. Benign lesions mainly displayed avascular, line-like, and branch-like patterns, and malignant lesions tended to display root hair-like and crab claw-like patterns. mSMI and CEUS identified more root hair-like and crab claw-like patterns in malignant lesions than CDFI and PDI. The sensitivity, negative predictive value, and accuracy of mSMI findings in diagnosing malignancy based on PVs and vascular patterns were both higher than those of CDFI and PDI. CONCLUSIONS: mSMI is equal to CEUS and superior to CDFI and PDI in identifying microvascular and discriminating malignant and benign breast masses.

Differences among the Thyroid Imaging Reporting and Data System proposed by Korean, the American College of Radiology and the European Thyroid Association in the diagnostic performance of thyroid nodules.

The aim of this study was to evaluate the diagnostic performance of the Thyroid Imaging Reporting and Data System (TIRADS) in the forms proposed by Kwak (K-TIRADS), the American College of Radiology (ACR-TIRADS) and the European Thyroid Association (EU-TIRADS). A total of 846 thyroid nodules were evaluated by K-TIRADS, ACR-TIRADS and EU-TIRADS. All the ultrasound data were analyzed and classified according to the criteria of the three systems. In addition, we calculated the risk of malignancy and plotted receiver operating characteristic (ROC) curves. Moreover, the diagnostic efficacy for malignancy were compared. Of the 846 thyroid nodules, 316 were malignant nodules and 530 were benign nodules. The areas under the ROC curves of K-TIRADS (0.827) and ACR-TIRADS (0.817) were not significantly different (P=0.2425); however, they were greater than that of EU-TIRADS (0.758) (P=0.000). The sensitivity of K-TIRADS (94.94%) was higher than that of ACR-TIRADS (61.08%) or EU-TIRADS (58.86%) (P=0.000), while ACR-TIRADS (89.62%) and EU-TIRADS (83.21%) had higher specificity than K-TIRADS (50.75%) (P=0.000). Although all the K-TIRADS, ACR-TIRADS and EU-TIRADS have values in risk stratification for thyroid nodules, they cannot simultaneously achieve high sensitivity and high specificity. Further research should be performed to develop a TIRADS which is more suitable for the population of China.

Predicting cervical lymph node metastasis in patients with papillary thyroid cancer (PTC) - Why contrast-enhanced ultrasound (CEUS) was performed before thyroidectomy.

The objective of this research was to investigate the clinical value of contrast-enhanced ultrasound (CEUS) for prediction of cervical lymph node metastasis (CLNM) in papillary thyroid cancer (PTC).One hundred and eighty-six patients with PTC confirmed by fine needle aspiration (FNA) were preoperatively performed CEUS.A multivariate analysis was performed to predict CLNM by 15 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance.There were totally 37 patients with CLNM confirmed by pathology. Multivariate analysis demonstrated that intensity at peak time, capsule contact and size on CEUS were the three strongest independent predictors for CLNM. ROC analyses of these characteristics showed the areas under the curve (Az), sensitivity, and specificity were 0.650, 48.6 %, 79.8 %; 0.586, 67.6%, 49.7%; and 0.612, 56.8%, 64.4% for intensity at peak time, capsule contact, and size, respectively.The CEUS patterns of PTC are relative to not only the size of PTC but also the possibility of CLNM after thyroidectomy. CEUS seem to be a tool to predict CLNM in PTC patients.

Homogeneity Parameter in Contrast-Enhanced Ultrasound Imaging Improves the Classification of Abnormal Cervical Lymph Node after Thyroidectomy in Patients with Papillary Thyroid Carcinoma.

OBJECTIVE: To explore the conventional and contrast-enhanced ultrasound (CEUS) features of cervical lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC) patients postoperatively and analyze its pathological basis. MATERIALS AND METHODS: Conventional and CEUS were performed in 86 abnormal cervical lymph nodes (ACLNs) from 56 PTC patients who had received thyroidectomy. Then, fine-needle aspiration (FNA) was taken to confirm pathological results, a multivariate analysis was performed to correlate the sonographic features of the CLNM, and then an equation for CLNM was established. RESULTS: Fifty-four lymph nodes were confirmed to be metastasis of PTC by FNA. Intensity at peak time, homogeneity, and color flow patterns, cystic change, or microcalcification and echogenicity were significantly associated with CLNM. Multivariate analysis showed three strongest features (homogeneity, intensity of peak, and cystic change or calcification) to be significantly associated with the evidence of CLNM. Then, the equation was established with the following significant predictive factors: P = 1/1 + exp∑[-3.213 + 2.77 ∗ cystic or calcification + 0.13 ∗ CDFI patterns + 3.65 ∗ homogeneity + 2.43 ∗ intensity at peak time]. CONCLUSION: Depiction of a heterogeneous hyperenhancement of cervical lymph nodes within CEUS studies and cystic change or microcalcification in conventional ultrasound were identified as predictive for metastatic lymph node invasion, and the equation was more accurate for predicting CLNM compared to single B-mode ultrasound and CEUS feature.

Additional Value of Superb Microvascular Imaging for Thyroid Nodule Classification with the Thyroid Imaging Reporting and Data System.

Superb microvascular imaging (SMI) is an innovative vascular imaging technique for ultrasound (US). Compared with conventional color Doppler imaging (CDI) and power Doppler imaging (PDI), SMI can detect more blood flow in thyroid nodules. In this study, a total of 203 thyroid nodules (160 benign nodules, 43 malignant nodules) in 195 patients were assessed with the Thyroid Imaging Reporting and Data System (TI-RADS) published by the American College of Radiology in 2017) and SMI. With TI-RADS alone, 24 (15.0%), 76 (47.5%), 65 (40.6%) and 39 (24.4%) thyroid nodules were classified as TR2, TR3, TR4 and TR5, respectively. However, with the combination of TI-RADS and SMI, 31 (19.4%), 79 (49.4%), 44 (27.5%) and 49 (30.6%) thyroid nodules were classified as TR2, TR3, TR4 and TR5, respectively. The area under the receiver operating characteristic curves for the combination (0.952) was larger than that for TI-RADS alone (0.883) (Z = 3.478, p = 0.001). The efficiency of TI-RADS alone and the TI-RADS + SMI combination in diagnosing thyroid nodules was determined for all except TR2 nodules. Although no significant differences between the methods were observed for TR3 and TR5 thyroid nodules (p > 0.05), the diagnostic efficiency of TI-RADS + SMI for TR4 thyroid nodules was higher than that of TI-RADS alone for TR4 nodules (p < 0.05). This study indicated that the vascularity of thyroid nodules can be well characterized using SMI, and the combined use of gray-scale US and SMI can improve the diagnostic performance of TI-RADS for TR4 thyroid nodules.

Renal Masses: Evaluation with Contrast-Enhanced Ultrasound, with a Special Focus on the Pseudocapsule Sign.

The aim of this study was to analyze the diagnostic performance of contrast-enhanced ultrasound (CEUS) in differentiating between benign and malignant renal masses, with a special emphasis on the value of the pseudocapsule sign. A total of 163 consecutive patients with 163 renal masses were involved. The conventional ultrasonography and CEUS features were assessed. Sensitivity, specificity and the area under the receiver operating characteristic curve (Az) were calculated for qualitative CEUS, and a multivariate analysis was performed to analyze the correlation between the sonographic features and malignancy. Time to peak (TTP) and peak intensity (PI) were compared between benign and malignant renal masses for quantitative CEUS analysis in 72 of 163 patients. Intraclass correlations were calculated for variability in intensity and time parameters between qualitative and quantitative evaluation. Among all qualitative CEUS features, the pseudocapsule sign showed the highest Az (0.777; 95% confidence interval: 0.701-0.853) and yielded the highest sensitivity (67.4%) and specificity (88.0%); multivariate logistic regression analysis showed that the pseudocapsule sign and color Doppler flow imaging patterns were the two strongest independent predictors for malignancy. For quantitative CEUS analysis, higher PI and shorter TTP were found in malignant renal masses than those in benign ones. The Intraclass correlation coefficient values among qualitative and the quantitative assessments were 0.00 for time and 0.03 for intensity. The pseudocapsule sign offered the most efficient performance among all the qualitative and quantitative CEUS features.