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 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 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

scholarly journals The Value of Contrast-Enhanced Ultrasound Classification in Diagnosis of Pancreatic Cystic Lesions

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Yixi Wang ◽  
Yanjie Wang ◽  
Zhihui Fan ◽  
Jun Shan ◽  
Kun Yan
Keyword(s):  
Diagnostic Accuracy ◽  
Diagnostic Value ◽  
Type I ◽  
Cystic Lesions ◽  
Type Ii ◽  
Contrast Enhanced Ultrasound ◽  
Type Iii ◽  
Type Iv ◽  
Contrast Enhanced ◽  
Significant Difference

Objective. To compare the consistency of contrast-enhanced ultrasound (CEUS) classification results with magnetic resonance imaging (MRI) and to investigate the diagnostic value of CEUS classification in pancreatic cystic lesions. Methods. 84 cases of pancreatic cystic lesions were enrolled in this study. According to the CEUS classification methods of previous study in our center, all the lesions were classified into four types: type I, unilocular cysts; type II, microcystic lesions; type III, macrocystic lesions; and type IV, cystic lesions with enhanced solid components. The consistency of CEUS and MRI typing results was analysed. Among the 84 cases, 45 cases had pathological results. The CEUS results were compared with the pathological results, and the diagnostic value of CEUS classification in diagnosing pancreatic cystic lesions was explored. Results. Among the 84 cases, CEUS diagnosed 8 cases of type I, 24 of type II, 8 of type III, and 45 of type IV. MRI diagnosed 10 cases of type I, 25 of type II, 7 of type III, and 43 of type IV. The classification typing results of CEUS were highly consistent with that of enhanced MRI (kappa value: 0.852). Among the 45 cases with pathological results, the diagnostic accuracy of each type was 91.1%, 95.6%, 93.3%, and 88.9%. The accuracy of CEUS and MRI in diagnosing pancreatic cystic lesions was 75.56% (34/45) and 80% (36/45), respectively. The diagnostic accuracy of CEUS had no significant difference from that of MRI (P=0.687). Conclusion. The classification results by CEUS and MRI are in excellent agreement. The classification of pancreatic cystic lesions by CEUS is significantly helpful for clinical diagnosis.

scholarly journals Hepatic inflammatory pseudotumor mimicking malignancy: the value of differential diagnosis on contrast enhanced ultrasound

2020 ◽  
Author(s):  
Wen-Tao Kong ◽  
Wen-Ping Wang ◽  
Hai-Yun Shen ◽  
Hai-Yan Xue ◽  
Chun-Rui Liu ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Inflammatory Pseudotumor ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Injection ◽  
Imaging Characteristics ◽  
Contrast Enhanced ◽  
Conventional Ultrasound ◽  
Delayed Phase ◽  
Hepatic Inflammatory Pseudotumor ◽  
Hepatic Malignancies

The aim of this study is to investigate whether the use of contrast enhanced ultrasound (CEUS) can improve the differential diagnostic performance between hepatic inflammatory pseudotumor (HIPT) and other malignant tumors.Material and methods: Forty-four patients with histological proven HIPTs were included in this retrospective study. The features of conventional ultrasound (US) and CEUS were evaluated.Results: Three kinds of enhanced pattern can be seen in the 44 nodules including homogeneous (n=18, 41%), heterogeneous (n=16, 36%) and rim-like enhancement (n=10, 23%). All of the nodules showed hypo-enhancement during the portal and delayed phase. The dominant nodules (n=29, 66%) presented wash-out within 60 s after contrast injection. Quick wash-in and wash-out was seen in 18 nodules (41%). Eighteen nodules (41%) were correctly diagnosed as HIPT, whereas the remaining 26 cases were misdiagnosed as malignancies (n=20, 45%) or with an uncertain diagnosis (n=6, 14%).Conclusion: CEUS was not enough to differentiate HIPT from hepatic malignancies, especially intrahepatic cholangiocarcinoma and liver metastasis. However, some CEUS imaging characteristics may be helpful for HIPT diagnosis.

scholarly journals The independent indicators of contrast-enhanced ultrasound for predicting renal cell carcinoma

2020 ◽  
Author(s):  
Hongli Cao ◽  
Liang Fang ◽  
Lin Chen
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Color Doppler ◽  
Renal Tumors ◽  
Contrast Enhanced Ultrasound ◽  
Color Doppler Flow Imaging ◽  
Contrast Enhanced ◽  
Color Doppler Flow ◽  
Conventional Ultrasound

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. Conclounsions: 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

Abstract TMP47: The Clinical Utility of Contrast Enhanced Ultrasound Detecting Disrupted Carotid Plaques

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Shuichi Tonomura ◽  
Kozue Saito ◽  
Hatsue Ishibashi-Ueda ◽  
Soichiro Abe ◽  
Kota Mori ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Carotid Plaque ◽  
Plaque Rupture ◽  
Color Doppler ◽  
Color Doppler Ultrasound ◽  
Contrast Enhanced Ultrasound ◽  
Histopathological Findings ◽  
Carotid Plaques ◽  
Contrast Enhanced

Introduction: Contrast-enhanced ultrasound (CEUS) using new contrast agents which offer a stable contrast effect in vivo is a noninvasive modality to detect vulnerability of carotid plaque, ulceration and neovascularization. A recent study showed the superiority for the detection of small ulcers using CEUS to color-Doppler ultrasound (CDUS), which used computed tomographic angiography (CTA) as the reference technique. Hypothesis: We assumed CEUS enables us to detect disruption of carotid plaques that could not be detected by CDUS and CTA. We aimed to investigate the diagnostic accuracy for detecting the disruption of the carotid plaques comparing with histopathological findings. Methods: From July 2010 to July 2015, we enrolled 68 internal carotid stenosis (ICS) patients undergoing carotid endarterectomy (CEA) and preoperatively examined CEUS using Perflubutane (Sonazoid), CDUS and CTA. We compared the findings of the plaque disruptions detected by these three modalities with the histopathological findings of ulceration and present/recent plaque rupture. Results: Of 68 subjects (age 72±6.6years old, 66 men), 44 (64%) had symptomatic ICS. Pathologically, ulceration and present/recent plaque rupture were found in 58 cases (85.3%). The diagnostic accuracy for detecting the disruption of carotid plaque by CEUS was significantly superior to other modalities (Table 1). CEUS could find disrupted carotid plaque more accurately than CTA. Conclusions: The assessment of the disruption of the plaques using CEUS was well correlated with pathological findings of plaque rupture, which may help us to evaluate the plaque vulnerability in vivo real time.

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