Risk stratification model for incidentally detected gallbladder polyps: A multicentre study.

PURPOSE: We aimed to develop a 4-level risk stratification model using a scoring system based on conventional ultrasound to improve the diagnosis of gallbladder polyp. METHOD: Patients with histopathologically confirmed gallbladder polyps were consecutively recruited from three medical centres. Conventional ultrasound findings and clinical characteristics were acquired prior to cholecystectomy. Risk factors for neoplastic and malignant polyps were used to build a risk stratification system via interobserver agreement and multivariate logistic regression analysis. The model was retrospectively trained using 264 pre-surgical samples and prospectively validated using 106 pre-surgical samples. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and malignant polyp rate. RESULTS: In total, 370 patients (mean age, 51.68 ± 14.41 years, 156 men) were enrolled in this study. Size (≥12 mm), shape (oblate or round), single, vascularity, gallbladder stone or sludge were considered risk factors for neoplastic polyps. Size (≥14 mm), shape (oblate), single, disrupted gallbladder wall, and gallbladder stone or sludge were risk factors for malignant polyps (all p < 0.05). In the scoring system, the sensitivity, specificity, and AUC of score ≥ 9 in diagnosing neoplastic polyps were 0.766, 0.788, and 0.876 respectively; and the sensitivity, specificity, and AUC of score ≥ 15 in diagnosing malignant polyps were 0.844, 0.926, and 0.949 respectively. In our model, the malignancy rates at the four levels were 0 % (0/24), 1.28 % (2/156), 9.26 % (5/54), and 70.37 % (38/54), respectively. CONCLUSIONS: The 4-level risk stratification model based on conventional ultrasound imaging showed excellent performance in classifying gallbladder polyps.

Imaging and Contrast-enhanced Ultrasound features of duodenal neuroendocrine tumor: A case report.

Duodenal neuroendocrine tumors are rare neoplasms arising from endocrine cells. Here we present a case of 32-year-old woman with Duodenal neuroendocrine tumors, report the imaging and contrast-enhanced Ultrasound (CEUS) features and review previous literatures of neuroendocrine tumors, which may be valuable for the differential diagnosis of duodenal neoplasms.

Dual-Targeted Microbubbles Specific to Integrin αVß3 and Vascular Endothelial Growth Factor Receptor 2 for Ultrasonography Evaluation of Tumor Angiogenesis.

Aggressive tumors are characterized by angiogenesis that promotes the migration and dissemination of tumor cells. Our aim was to develop a dual-targeted microbubble system for non-invasive evaluation of tumor angiogenesis in ultrasound. Avidinylated microbubbles were conjugated with biotinylated arginylglycylaspartic acid and vascular endothelial growth factor receptor 2 (VEGFR2) antibodies. Subcutaneous MHCC-97H liver carcinoma models were established. Non-targeted, αvß3-targeted, VEGFR2-targeted and dual-targeted microbubbles was intravenously injected in series while acquiring ultrasound images of the tumor. The microbubbles were destroyed by a high-mechanical-index pulse 4 min after the injection. Peak intensity (PI) before and after the destructive pulse was recorded to compare contrast enhancement by different microbubbles. The targeting rates of the integrin-targeted, VEGFR2-targeted and dual-targeted groups were 95.02%, 96.04% and 94.23%, respectively, with no significant differences. Tumors in all groups were significantly enhanced. The time-intensity curve indicated no significant differences in arrival time, PI, area under the curve, amplitude and mean transit time. The difference in ultrasound signal intensity before and after the destructive pulse (⊿PI) for all targeted microbubble groups was significantly greater than that for the non-targeted microbubble group (all p values < 0.05), and the difference for the dual-targeted microbubble group was significantly greater than those of both mono-targeted groups (p <0.05).

Contrast-enhanced ultrasonography in differential diagnosis of focal gallbladder adenomyomatosis and gallbladder cancer.

BACKGROUND: Focal gallbladder adenomyomatosis (ADM) is a common disease that mimics gallbladder cancer (GBC) on ultrasonography. OBJECTIVE: Here we aim to assess the value of contrast-enhanced ultrasound (CEUS) in differentiating ADM from GBC. METHODS: Forty-one histopathologically proven focal ADMs and 34 GBCs (≤T2 stage) were enrolled in the study. Lesion location, blood flow signals, contrast pattern and appearance on contrast-enhanced ultrasound (CEUS) were compared respectively. RESULTS: Lesions were detected in fundus, body, neck at the rates of 61.0% (25/41), 26.8% (11/41) and 12.2% (5/41), respectively, in ADM patients, in comparison to 29.4% (10/34), 32.4% (11/34) and 38.2% (13/34), respectively, in GBC patients (p = 0.009). Blood flow signals were detected in 19.5% (8/41) of cases in ADMs, compared to 58.8% (20/34) in GBCs (p = 0.001). On CEUS, iso-enhancement, hypo-enhancement, intramural anechoic space and intactness of GB wall were detected in 41.5% (17/41), 39.0% (16/41), 56.1% (23/41) and 80.5% (33/41) cases of ADMs, in contrast to 17.6% (6/34), 20.6% (7/34), 20.6% (7/34) and 17.6% (6/34) of GBCs (p = 0.001, p = 0.001, p = 0.002, p < 0.001, respectively). The prior Youden's index were 0.81 based on intactness of GB wall on CEUS. CONCLUSION: Combined with CEUS helps improve the differential diagnosis accuracy of focal gallbladder ADMs.

Xanthogranulomatous cholecystitis: contrast-enhanced ultrasound features and differential diagnosis from wall-thickening gallbladder carcinoma.

OBJECTIVE: The purpose of this study is to evaluate the value of contrast-enhanced ultrasound (CEUS) in differential diagnosis of Xanthogranulomatous cholecystitis (XGC). MATERIAL AND METHODS: Patients of 17 XGCs and 43 wall-thickening gallbladder carcinomas (GBCs) were enrolled in this study. Firstly, we compared the ability of conventional ultrasound (CUS) and CEUS in detecting gallbladder (GB) features. Secondly, XGCs and GBCs features were compared on CEUS. Finally, all valuable indicators were ranked by Odds ratio. RESULTS: Significant differences were found in detecting GB wall thickness, GB stones, and hypoechoic nodules frequencies by CEUS and CUS. The mean GB wall thickness was 8.53 mm on CEUS, whereas the thickness measured 9.47 mm on CUS (p=0.011). GB stones and hypoechoic nodules were detected in 43 cases (71.7%) and 21 cases (30.0%) on CEUS, respectively, compared to 29 cases (48.3%) and 8 cases (13.3%) on CUS (p=0.009, p=0.027), respectively. Secondly, hypoenhancement time was longer in XGC (mean 78.9 s) than in GBC (mean 56.0 s) (p=0.002). Diffuse GB wall thickening, continuous inner wall, and hypoechoic nodules in the GB wall were observed in 12 patients (70.6%), 12 patients (70.6%) and 10 patients (58.8%) with XGC, respectively, compared to detection in 10 patients (23.3%), 4 patients (9.3%) and 11 patients (25.6%) by GBC (p=0.001, p=0.000 and p=0.015), respectively. Thirdly, the continuous inner wall was the most valuable indicator, with ORs of 23.4. The second valuable indicator was hypoenhancement time >80.5 s, with ORs of 11.9. CONCLUSIONS: CEUS demonstrated superior detection of GB wall thickness, GB stone and hypoechoic nodules compared to CUS. A continuous inner wall, hypoenhancement times greater than 80.5 s, diffuse thickening, and hypoechoic nodules were valuable indicators in XGCs.

Quantitative evaluation of contrast-enhanced ultrasound for differentiation of renal cell carcinoma subtypes and angiomyolipoma.

PURPOSE: To investigate the value of quantitative parameters of contrast-enhanced ultrasound (CEUS) in the differentiation of subtypes of renal cell carcinoma (RCC) and angiomyolipoma (AML). METHODS: The quantitative characteristics of 341 RCCs and 88 AMLs were analyzed with quantitative software (SonoLiver). Quantitative analysis was conducted in the whole tumor (ROItumor) and the maximum enhanced area of the tumor (ROImax), acquiring the parameters of maximum intensity (IMAX), rise time (RT), time to peak (TTP), mean transit time (mTT), and area under the curve (AUC), were derived and analyzed. The difference values between ROImax and normal renal cortex (ΔPar.s, including ΔIMAX, ΔRT, ΔTTP, ΔmTT, ΔAUC) were compared among renal histotypes. RESULTS: All time-related parameters (including RT, TTP and mTT) of ROImax were shorter than the corresponding parameters of ROItumor in RCC subtypes (all p<0.05), but made no statistical difference in AMLs (all p>0.05). There were significant differences of all ΔPar.s among RCC subtypes and AML (all p<0.01). ΔIMAX and ΔAUC showed the trend that ccRCC>AML>pRCC=chRCC. ΔTTP showed AML=pRCC=chRCC>ccRCC, ΔRT and ΔmTT showed AML>pRCC=chRCC=ccRCC. ΔmTT could distinguish RCC from AML with the area under the ROC curve (AUC) of 0.86. The AUC of ΔIMAX and ΔAUC was 0.89 and 0.92 vs 0.85 and 0.85 for discriminating between pRCC (or chRCC) and AML vs ccRCC and AML. CONCLUSIONS: Quantitative analysis of CEUS is a useful modality in AML and RCC subtypes' differentiation, by using ΔmTT, ΔIMAX and ΔAUC.

Papillary renal cell carcinoma and clear cell renal cell carcinoma: Differentiation of distinct histological types with contrast - enhanced ultrasonography.

PURPOSE: Papillary renal cell carcinoma (pRCC) and clear cell renal cell carcinoma (ccRCC) have different biological behaviours and imaging features. The role of contrast-enhanced ultrasound (CEUS) in differentiating these two carcinoma subtypes has not been comprehensively studied. MATERIALS AND METHODS: Forty-eight patients with 49 pRCC lesions and 153 patients with 156 ccRCC lesions underwent preoperative conventional ultrasound (US) and CEUS. Among them, 91 patients (25 pRCCs and 66 ccRCCs) also underwent preoperative contrast-enhanced computed tomography (CECT) in our hospital. The characteristics of CEUS and CECT images for each patient imaged were analysed by each of two blinded observers. RESULTS: Images for five (5/25, 20%) pRCC patients demonstrated equivocal or no enhancement using CECT, while all lesions were enhanced using CEUS. From CEUS, images of pRCCs, when compared with ccRCC images, demonstrated significantly higher frequencies of slow wash-in (59.2% vs. 5.8%), fast wash-out (87.7% vs. 46.1%), and hypo-enhancement (57.1% vs. 7.1%) patterns, p<0.001, as well as the presence of pseudocapsule (42.9% vs. 23.1%), p=0.007. For lesions with large diameters (> 3 cm), a higher percentage of pRCC images demonstrated homogeneous enhancement compared with ccRCC images. Using the combination of slow wash-in, fast wash-out, and hypoenhancement patterns at peak as criteria to differentiate pRCC from ccRCC, positive and negative predictive value, and sensitivity and specificity were found to be 86.7%, 86.9%, 53.1%, and 97.4%, respectively. CONCLUSIONS: CEUS imaging features of slow-in, fast-out, and hypo-enhancement patterns may be useful for differentiating pRCC and ccRCC. In addition, CEUS may be helpful for diagnosing hypovascular renal lesions that demonstrate equivocal or no enhancement by CECT and, thus, for improving diagnostic confidence.

Contrast-enhanced ultrasound characterization of renal mucinous tubular and spindle cell carcinoma: report of two cases.

Mucinous tubular and spindle cell carcinoma of the kidney is a relatively rare pathologic entity that has recently been described in the World Health Organization 2004 renal cell carcinoma classification. We report two cases of mucinous tubular and spindle cell carcinoma in which contrast-enhanced ultrasound was used.

The value of contrast-enhanced ultrasound (CEUS) in detecting minute renal cell carcinoma.

UNLABELLED: To investigate the value of contrast-enhanced ultrasound (CEUS) in the detection of minute renal cell carcinoma (MRCC) compared to conventional ultrasound (US) and contrast-enhanced computed tomography (CECT). METHODS: Thirty-eight consecutive patients with 38 histopathologically proven MRCCs (≦15 mm) were enrolled in our study. CEUS and CECT were available in 38 and 24 patients, respectively. The features of CEUS were evaluated and compared to conventional ultrasound (US) and CECT. RESULTS: Ten (26.3%) tumors could not be detected by conventional US, while all tumors were detected by CEUS. The features of tumor border, blood flow, and echogenicity had significant difference between conventional US and CEUS (p=0.000, p=0.003, and p=0.012, respectively). The score of visibility of tumors by CEUS was significant higher than that of conventional US. The sensitivity, specificity, and accuracy of conventional US and CEUS in evaluating tumor necrosis were 42.9%, 50%, and 47.4% vs. 85.7%, 95.8%, and 92.1%, respectively. The enhancement features of MRCC including tumor vascularization, homogeneity, and border had no significant difference between CEUS and CECT (all p>0.05). On CEUS, synchronous-in (89.5%), hypervascular (84.2%), and fast-out (71.1%) were the most commonly observed enhancement characteristics for MRCC. CONCLUSION: CEUS performs better in detecting MRCC than conventional US, and it has the same capabilities in reflecting the enhanced features of MRCC as CECT.

Papillary breast lesions on contrast-enhanced ultrasound: morphological enhancement patterns and diagnostic strategy.

OBJECTIVES: To identify features which determine the papillary nature of breast lesions by contrast-enhanced ultrasound (CEUS) based on morphological and pathological correlations, and predict which papillomas are malignant. METHODS: A retrospective review of 47 papillary lesions and 51 hypervascular benign abnormalities was performed. Enhancement patterns and diagnostic performance of CEUS were assessed. RESULTS: The most frequent finding in papillary lesions was perilesional linear ductal enhancement (87.2%) followed by heterogeneous enhancement (80.9%), and the presence of perfusion defects (66%). Among all CEUS morphological descriptors, a perilesional linear ductal enhancement pattern was the most effective feature to discriminate between papillary and hypervascular benign lesions. Using this criterion, the positive and negative predictive value for papilloma were 100% and 89.5%, respectively. A perilesional linear ductal pattern correlated with a ductal origin. The distinctive features associated with atypical or malignant papillomas were non-confluent enhancement, late overall wash-out, the presence of regional perfusion defect, clumped vascular pattern, and the presence of peripheral radial or penetrating vessels. The sensitivity, specificity, and positive and negative predictive values for predicting malignancy were 91.7%, 82.6%, 84.6% and 90.5%, respectively. CONCLUSIONS: CEUS provided characteristic enhancement patterns which could be helpful for identifying papillary lesions and for predicting potentially malignant papillomas. KEY POINTS: Papillary breast lesions display a characteristic appearance on CEUS. Adding CEUS to conventional US helps identify the papillary nature of papillomas. CEUS may be helpful for predicting potential malignancies among papillomas.

Contrast-enhanced ultrasonography for evaluation of cystic renal mass: in comparison to contrast-enhanced CT and conventional ultrasound.

PURPOSE: To assess the value of contrast-enhanced ultrasonography (CEUS) in evaluating cystic renal lesions compared with conventional ultrasound (US) and contrast-enhanced computed tomography (CECT). METHODS: One hundred and three patients with complex cystic renal masses underwent preoperative US and CEUS, among which 70 conducted CECT at our institution. The images were analyzed with the number of septa, septa and wall thickness and the presence of solid component, and final diagnosis was made. RESULTS: In malignancies, CEUS demonstrated more septa, thicker wall or septa, and more solid components than US and CECT. CEUS permitted categorization of 51.7% (30/58) and 28.6% (10/35) of malignant tumors in higher grade than by US and CECT, respectively. In benign lesions, CEUS detected more septa than CECT and correctly diagnosed benign cysts which appeared as solid lesions in US. CEUS permitted downgrading of 71.1% (32/45) and 17.1% (6/35) of benign lesions compared to US and CECT. The diagnostic performance of CEUS was better than US for benign cystic lesions. The phenomenon that solid-like component by US did not enhance by CEUS was a strong predictor of benign disease, with a positive predictive value (PPV) of 100%. Enhancement of solid, soft tissue by CEUS was highly predictive of malignancy, with a PPV of 100%. CONCLUSIONS: CEUS was superior to US and CECT in visualizing the number of septa septa and wall thickness, and the presence of solid component of cystic renal lesions. CEUS may play a similar role to CECT in the diagnosis of renal cystic lesions, and better than US.

Postoperative haemodynamic changes in transplanted liver: Long-term follow-up with ultrasonography.

OBJECTIVE: To investigate haemodynamic changes in the transplanted liver without postoperative complications. METHODS: Colour Doppler ultrasound was used to monitor recipients of liver transplants who had no postoperative complications. The haemodynamic data for the hepatic vasculature were compared at different time-points during the first 4 years after liver transplantation. RESULTS: A total of 144 liver transplant patients were enrolled in the study. Portal vein flow velocity decreased significantly from 72.1 ± 30.3 cm/s at 1 day to 44.2 ± 20.1 cm/s at 1 month after liver transplantation. Hepatic artery flow velocity was 61.4 ± 33.2 cm/s at day 1; it then decreased slowly but significantly to 48.3 ± 20.4 cm/s at 3 years after transplantation. There were 81 (56.3%) patients with high hepatic artery resistance index (HARI) (>0.80) and 19 (13.2%) with low HARI (<0.50) measured at least once during the 4-year follow-up examination. CONCLUSIONS: Decreased portal vein flow velocity was the typical change observed during the first month after liver transplantation. Abnormal haemodynamic Doppler results should be interpreted with caution because they may not be clinically significant and may improve spontaneously.

Evaluation of renal urothelial carcinoma by contrast-enhanced ultrasonography.

PURPOSE: To observe ultrasonographic features of urothelial carcinoma in renal pelvis and evaluate contrast-enhanced ultrasound (CEUS) in diagnosis. MATERIALS AND METHODS: Fifty-two patients with urothelial carcinoma underwent preoperative conventional US, colour Doppler flow imaging (CDFI) and CEUS. RESULTS: Of 52 total lesions, 41 (78.8%) could be clearly identified by US, and 49 (94.2%) were enhanced by CEUS. Among US-imaged lesions, 39 (95.1%) were solid tumours, and two (4.9%) were mixed solid-cystic; 25 (61.0%) were isoechoic, 11 (26.8%) hypoechoic, and five (12.2%) hyperechoic. Analysis of tumour blood flow by CDFI characterised 17 avascular lesions (41.5% of total), 16 hypovascular (39.0%), and 8 hypervascular (19.5%). The resistance index ranged from 0.65 to 0.88 (mean of 0.71). Enhancement was seen in 49 lesions after injection of SonoVue. A slow enhancement pattern was observed in 36 lesions (73.5%) relative to renal cortex, and 13/49 (26.5%) showed simultaneous enhancement. At peak enhancement, 38 lesions (77.6%) were hypo-enhanced, six (12.2%) iso-enhanced, and five (10.2%) hyper-enhanced. There were 12 lesions with intertumoural necrosis or haemorrhage (24.5%) that were heterogeneously enhanced, and 37 (75.5%) were homogeneously enhanced. A fast washout pattern was observed in 46 lesions (93.9%), synchronous washout in two (4.08%), and slow washout in one (2.04%). CONCLUSIONS: Slow-in, fast-out, and hypo-enhancement properties are associated with renal urothelial carcinoma and may thus have diagnostic value. We found that CEUS is able to identify tumours that are ambiguous by conventional US, and it thus significantly improves the confidence of diagnosis.

Effect of acute intraocular pressure elevation on blood flow velocity and resistance in the rabbit ophthalmic artery.

OBJECTIVE: To determine the effect of intraocular pressure (IOP) on blood flow velocity and resistance in the rabbit ophthalmic artery. ANIMALS: Ten adult New Zealand White rabbits were used. PROCEDURES: Right eyes were cannulated and the IOP was raised in a stepwise manner from 20 to 70 mmHg. Peak systolic velocity (PSV), end diastolic velocity (EDV) and resistive index (RI) in the ophthalmic artery were measured by color Doppler imaging. Values of PSV, EDV and RI were compared at various IOPs via the analysis of variance (anova) of a randomized block design with post hoc Bonferroni test. RESULTS: Significant differences of PSV, EDV and RI at different IOP points (all P < 0.001) were observed. Over the entire IOP range, linear regression showed a negative correlation between IOP and both PSV and EDV (ß = -0.07434, P = 0.0020 and ß = -0.07829, P < 0.001, respectively), as well as a positive correlation between the RI and IOP (ß = 0.00221, P < 0.001). Moreover, line plots identified a point with IOP = 40 mmHg, splitting the IOP range with different regression slopes. Piecewise linear regression indicated no correlation between PSV, EDV, RI and IOP when the IOP was elevated from 20 to 40 mmHg (P = 0.1832, P = 0.5932 and P = 0.5819, respectively). However, piecewise linear regression detected a stronger negative correlation between PSV, EDV and IOP (ß = -0.15760, P = 0.0011 and ß = -0.11872, P = 0.001, respectively) and a stronger positive correlation between RI and IOP (ß = 0.00273, P = 0.0015) during the stage from 40 to 70 mmHg. CONCLUSIONS: The ophthalmic artery in the rabbits was capable of maintaining normal blood velocity and resistance when IOP was below 40 mmHg. However, the autoregulatory capacity was greatly limited when IOP was over 40 mmHg.