scholarly journals Contrast-Enhanced Ultrasound in the Bladder: Critical Features to Differentiate Occupied Lesions

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Qiping Liu ◽  
Huiling Gong ◽  
Hui Zhu ◽  
Chunyan Yuan ◽  
Bin Hu
Keyword(s):  
Blood Flow ◽  
Malignant Tumors ◽  
Color Doppler ◽  
Diagnostic Value ◽  
Flow Imaging ◽  
Contrast Enhanced Ultrasound ◽  
Color Doppler Flow Imaging ◽  
Clinical Value ◽  
Contrast Enhanced ◽  
Significant Difference

Objective. To study the clinical diagnostic value of contrast-enhanced ultrasound (CEUS) in bladder occupied lesions. Methods. 38 cases of conventional-ultrasound-found bladder occupied lesions did color Doppler flow imaging (CDFI) and CEUS checks. By comparing the difference between two types of blood flow imaging technologies in displaying the flow of bladder occupied lesions and observing the perfusion modes of contrast agents to enter lesions, the perfusion characteristics of CEUS were analyzed. Finally, they were contrasted with the surgical pathology results. Results. Of all the 38 cases, there were 51 bladder occupied lesions, including 43 bladder malignant tumors, 2 bladder inverted papillomas, and 6 glandular cystitis lesions. The blood flow display rate of bladder occupied lesions was 100% using CEUS. Apparently, it was higher than that of CDFI (62.7%), and the result of these showed a statistically significant difference ( P < 0.05 ). Using CEUS, 46 malignant lesions and 5 glandular cystitis lesions were indicated, and the diagnostic accuracy rate was 86.3%. Conclusion. CEUS can improve the blood flow display rate of bladder occupied lesions, and it can also observe the real-time blood flow of these lesions. It can help judge their nature and has a higher clinical value in differentiating the benign from the malignant.

scholarly journals Continuous Dynamic Registration of Microvascularization of Liver Tumors with Contrast-Enhanced Ultrasound

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Lukas Philipp Beyer ◽  
Benedikt Pregler ◽  
Isabel Wiesinger ◽  
Christian Stroszczynski ◽  
Philipp Wiggermann ◽  
...  
Keyword(s):  
Liver Tumors ◽  
Malignant Tumors ◽  
Regional Blood Flow ◽  
Late Phase ◽  
Diagnostic Value ◽  
Arterial Phase ◽  
Contrast Enhanced Ultrasound ◽  
Time To Peak ◽  
Contrast Enhanced ◽  
Significant Difference

Aim.To evaluate the diagnostic value of quantification of liver tumor microvascularization using contrast-enhanced ultrasound (CEUS) measured continuously from the arterial phase to the late phase (3 minutes).Material and Methods.We present a retrospective analysis of 20 patients with malignant (n=13) or benign (n=7) liver tumors. The tumors had histopathologically been proven or clearly identified using contrast-enhanced reference imaging with either 1.5 T MRI (liver specific contrast medium) or triphase CT and follow-up. CEUS was performed using a multifrequency transducer (1–5 MHz) and a bolus injection of 2.4 mL sulphur hexafluoride microbubbles. A retrospective perfusion analysis was performed to determine TTP (time-to-peak), RBV (regional blood volume), RBF (regional blood flow), and Peak.Results.Statistics revealed a significant difference (P<0.05) between benign and malignant tumors in the RBV, RBF, and Peak but not in TTP (P=0.07). Receiver operating curves (ROC) were generated for RBV, RBF, Peak, and TTP with estimated ROC areas of 0.97, 0.96, 0.98, and 0.76, respectively.Conclusion.RBV, RBF, and Peak continuously measured over a determined time period of 3 minutes could be of valuable support in differentiating malignant from benign liver tumors.

scholarly journals Application of contrast enhanced ultrasound in gallbladder lesion: is it helpful to improve the diagnostic capabilities?

2018 ◽  
Vol 20 (4) ◽  
pp. 420 ◽  
Author(s):  
Wen-Tao Kong ◽  
Hi-Yun Shen ◽  
Yu-Dong Qiu ◽  
Hao Han ◽  
Bao-Jie Wen ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Diagnostic Performance ◽  
Color Doppler ◽  
Final Diagnosis ◽  
Wall Thickening ◽  
Contrast Enhanced Ultrasound ◽  
Color Doppler Flow Imaging ◽  
Imaging Characteristics ◽  
Contrast Enhanced ◽  
Significant Difference

The aim of this study is to evaluate if contrast enhanced ultrasound (CEUS) can improve the differential diagnostic performance of gallbladder (GB) lesions.Materials and methods: Forty-nine patients (18 men, 31 women; mean age, 54.8±14.4 years, range age, 22-78 years) with GB lesions (mass-forming and wall-thickened types) were enrolled in this study. All patients underwent conventional ultrasonography (US) and CEUS examination. The imaging characteristics of GB lesions were analyzed to compare the diagnostic performance of US and CEUS. The final diagnosis was obtained by histopathology.Results: There were significant differences between benign and malignant GB lesions with regards to size, shape, vascularity, the integrity and margin of GB wall and time to iso-enhancement on CEUS (p<0.05). However, no significant difference was found concerning the enhancement patterns between the two groups (p>0.05). Logistic regression analysis showed that the boundary between liver and GB wall (p=0.017) and vascularity on color Doppler flow imaging (p=0.013) were two independent predictors of malignancy. The diagnostic accuracy of US could be improved in combination with CEUS (65.3% vs 83.7%). The diagnostic accuracy of the GB wall thickening type was higher than the mass forming type.Conclusion: CEUS could improve the diagnostic performance of GB lesions, especially for wall-thickened type lesions

scholarly journals Diagnostic Value of Contrast-Enhanced Ultrasound Evaluation of Malignant and Benign Solitary Thyroid Nodules

2016 ◽  
Vol 70 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Pēteris Priedītis ◽  
Maija Radziņa ◽  
Ilze Štrumfa ◽  
Zenons Narbuts ◽  
Arturs Ozoliņs ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Thyroid Nodules ◽  
Fine Needle Biopsy ◽  
Diagnostic Value ◽  
Contrast Enhanced Ultrasound ◽  
Clinical Value ◽  
Additional Tool ◽  
Ultrasound Evaluation ◽  
Contrast Enhanced ◽  
Benign Nodules

Abstract The aim of the study was to investigate the diagnostic value of contrast-enhanced ultrasound (CEUS) in differentiating benign and malignant thyroid nodules. Thirty-five patients with morphologically proved thyroid nodules (17 malignant; 18 benign), underwent CEUS examination. Five enhancement patterns were evaluated: vascularisation, homogeneity, presence of peripheral rim type enhancement, wash-out rate of the contrast medium, and enhancement using microvascular imaging application. Time-intensity curves (TIC) were analysed in post-processing and defined as three types: slow versus rapid and stable versus rapid biphasic wash-out. Diagnostic value of the listed CEUS parameters was calculated. The results showed medium strength correlation between morphology (benign versus malignant nodule) and type of TIC curve rs = 0.38 (p = 0.021), as well as between mode of contrast enhancement rs = 0.39 (p = 0.022) and wash-out pattern rs =0.39 (p = 0.024). The overall pooled sensitivity of selected diagnostic parameters was 82%, specificity 57%, and accuracy 70%. Malignant nodules were characterised by iso- or hypovascular contrast enhancement and slow wash-out, while benign nodules showed hypervascular enhancement with rapid wash-out TIC curve and rim-like pattern. The CEUS patterns significantly differed between malignant and benign thyroid nodules with high diagnostic accuracy. Thus, CEUS has important clinical value as an additional tool to ultrasound and fine needle biopsy.

scholarly journals Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules

2021 ◽  
Vol 11 ◽  
Author(s):  
Shi Yan Guo ◽  
Ping Zhou ◽  
Yan Zhang ◽  
Li Qing Jiang ◽  
Yong Feng Zhao
Keyword(s):  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
New Technologies ◽  
Statistical Significance ◽  
Characteristic Curve ◽  
Logistic Models ◽  
Contrast Enhanced Ultrasound ◽  
Clinical Value ◽  
Contrast Enhanced ◽  
Significant Difference

BackgroundWith the improvement of ultrasound imaging resolution and the application of various new technologies, the detection rate of thyroid nodules has increased greatly in recent years. However, there are still challenges in accurately diagnosing the nature of thyroid nodules. This study aimed to evaluate the clinical application value of the radiomics features extracted from B-mode ultrasound (B-US) images combined with contrast-enhanced ultrasound (CEUS) images in the differentiation of benign and malignant thyroid nodules by comparing the diagnostic performance of four logistic models.MethodsWe retrospectively collected and ultimately included B-US images and CEUS images of 123 nodules from 123 patients, and then extracted the corresponding radiomics features from these images respectively. Meanwhile, a senior radiologist combined the thyroid imaging reporting and data system (TI-RADS) and the enhancement pattern of the ultrasonography to make a graded diagnosis of the malignancy of these nodules. Next, based on these radiomics features and grades, logistic regression was used to help build the models (B-US radiomics model, CEUS radiomics model, B-US+CEUS radiomics model, and TI-RADS+CEUS model). Finally, the study assessed the diagnostic performance of these radiomics features with a comparison of the area under the curve (AUC) of the receiver operating characteristic curve of four logistic models for predicting the benignity or malignancy of thyroid nodules.ResultsThe AUC in the differential diagnosis of the nature of thyroid nodules was 0.791 for the B-US radiomics model, 0.766 for the CEUS radiomics model, 0.861 for the B-US+CEUS radiomics model, and 0.785 for the TI-RADS+CEUS model. Compared to the TI-RADS+CEUS model, there was no statistical significance observed in AUC between the B-US radiomics model, CEUS radiomics model, B-US+CEUS radiomics model, and TI-RADS+CEUS model (P&gt;0.05). However, a significant difference was observed between the single B-US radiomics model or CEUS radiomics model and B-US+CEUS radiomics model (P&lt;0.05).ConclusionIn our study, the B-US radiomics model, CEUS radiomics model, and B-US+CEUS radiomics model demonstrated similar performance with the TI-RADS+CEUS model of senior radiologists in diagnosing the benignity or malignancy of thyroid nodules, while the B-US+CEUS radiomics model showed better diagnostic performance than single B-US radiomics model or CEUS radiomics model. It was proved that B-US radiomics features and CEUS radiomics features are of high clinical value as the combination of the two had better diagnostic performance.

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

2020 ◽  
Author(s):  
Hongli Cao ◽  
Liang Fang ◽  
Lin Chen ◽  
Jia Zhan ◽  
Xuehong Diao ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Color Doppler ◽  
Renal Tumors ◽  
Renal Angiomyolipoma ◽  
Contrast Enhanced Ultrasound ◽  
Color Doppler Flow Imaging ◽  
Contrast Enhanced ◽  
Color Doppler Flow

Abstract 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. Key words: Renal cell carcinoma; angiomyolipoma; contrast-enhanced ultrasound; ultrasonography

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

2020 ◽  
Author(s):  
Hongli Cao(Former Corresponding Author) ◽  
Liang Fang ◽  
Lin Chen(New Corresponding Author) ◽  
Jia Zhan ◽  
Xuehong Diao ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Color Doppler ◽  
Renal Tumors ◽  
Renal Angiomyolipoma ◽  
Contrast Enhanced Ultrasound ◽  
Color Doppler Flow Imaging ◽  
Contrast Enhanced ◽  
Color Doppler Flow

Abstract 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. Key words: Renal cell carcinoma; angiomyolipoma; contrast-enhanced ultrasound; ultrasonography

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