Hepatocellular carcinoma and non malignant lesions in cirrhotic liver: assessment with contrast-enhanced doppler ultrasonography

2001 ◽  
Vol 34 (0) ◽  
pp. 234
Author(s):  
A Fracanzani
Keyword(s):  
Hepatocellular Carcinoma ◽  
Doppler Ultrasonography ◽  
Cirrhotic Liver ◽  
Contrast Enhanced ◽  
Malignant Lesions

Hepatocellular carcinoma and non malignant lesions in cirrhotic liver: assessment with contrast-enhanced Doppler ultrasonography

2001 ◽  
Vol 34 ◽  
pp. 234
Author(s):  
Anna Ludovica Fracanzani ◽  
Larry Burdick ◽  
Mauro Borzio ◽  
Alessandra Maraschi ◽  
Franco Borzio ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Doppler Ultrasonography ◽  
Cirrhotic Liver ◽  
Contrast Enhanced ◽  
Malignant Lesions

scholarly journals Contrast-enhanced ultrasound algorithm (ACR CEUS LI-RADSv 2017)– a valuable tool for the noninvasive diagnosis of hepatocellular carcinoma in patients with chronic liver disease

2021 ◽  
Author(s):  
Ana Maria Ghiuchici ◽  
Mirela Dănilă ◽  
Alina Popescu ◽  
Roxana Șirli ◽  
Tudor Moga ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Predictive Value ◽  
Real Life ◽  
Reference Method ◽  
Focal Liver Lesions ◽  
Noninvasive Diagnosis ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Malignant Lesions

Aims: to evaluate the accuracy of LR-5 category from the latest Contrast-Enhanced Ultrasound algorithm (ACR CEUS LI-RADSv 2017) for the noninvasive diagnosis of hepatocellular carcinoma (HCC), in a real-life cohort of high-risk patients. Material and methods: We retrospectively re-analysed the CEUS studies of 464 focal liver lesions (FLL) in 382 patients at high-risk for HCC (liver cirrhosis of any aetiology, chronic B or C hepatitis with severe fibrosis) using the ACR CEUS LI-RADSv 2017 algorithm. CEUS LI-RADS categories used for the diagnosis of HCC were: CEUS LR-5 (definitely HCC) and CEUS LR-TIV (HCC with macrovascular invasion). Contrast-enhanced CT, contrast-enhanced MRI, or histology were used as diagnostic reference methods to evaluate the CEUS LI-RADS classification of the 464 lesions. Results: According to the reference method, the 464 lesions were classified as follows: 359 HCCs, 68 non-HCC-non-malignant lesions and 37 non-HCC malignant lesions. The diagnostic accuracy of LR-5 category for the diagnosis of hepatocellular carcinoma was 76.9%. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 71.9%, 94.3 %, 97.7% and 49.5%, respectively. Conclusions: LR-5 category from ACR CEUS LI-RADSv 2017 algorithm, has good sensitivity, excellent specificity, and PPV for the diagnosis of HCC. The HCC rate increases from LR-3 to LR-5.

Evaluation of hepatocellular carcinoma following proton radiotherapy using contrast enhanced power doppler ultrasonography observation

2001 ◽  
Vol 120 (5) ◽  
pp. A559
Author(s):  
Gaku Nilzawa ◽  
Yasushi Matsuzaki ◽  
Eriko Tohno ◽  
Yoshifumi Saitou ◽  
Junichi Shoda ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Doppler Ultrasonography ◽  
Power Doppler ◽  
Power Doppler Ultrasonography ◽  
Proton Radiotherapy ◽  
Contrast Enhanced

Dynamics of contrast enhancement in MR imaging and power Doppler ultrasonography of solid breast lesions

2002 ◽  
Vol 43 (5) ◽  
pp. 492-500 ◽  
Author(s):  
H. Reinikainen ◽  
E. Pääkkö ◽  
I. Suramo ◽  
M. Päivänsalo ◽  
J. Jauhiainen ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Contrast Enhancement ◽  
Doppler Ultrasonography ◽  
Power Doppler ◽  
Breast Lesions ◽  
Power Doppler Ultrasonography ◽  
Doppler Us ◽  
Contrast Enhanced ◽  
The Us ◽  
Malignant Lesions

Purpose: To evaluate the dynamics of contrast enhancement in solid breast lesions at contrast-enhanced MR imaging and power Doppler ultrasonography (US) and to compare the methods to histology and to each other. Material and Methods: Forty breast lesions were prospectively examined with dynamic MR and power Doppler US. Time-signal intensity curves of enhancement were obtained for both methods. The shape of the curve was analyzed to be benign, indeterminate or malignant. The curves were also analyzed quantitatively by calculating the slope of the curve and the area under the curve (both methods), relative enhancement (MR), and time to peak (US). The lesions were divided into malignant lesions, fibroadenomas, and other benign lesions. The results were compared to histology. Results: In the subjective analysis of the MR curve in differentiating between benign and malignant lesions the accuracy was 90%. The MR curve also enabled differentiation between fibroadenomas and malignancies. The accuracy of the US curve was 38%. Quantitatively, statistically significant differences were found using all the MR variables, except between malignancies and fibroadenomas. Using the US variables, no significant difference was found between the groups. Conclusion: The dynamics of contrast-enhanced MR were reliable in the differential diagnosis of solid breast lesions, but contrast-enhanced power Doppler US was of limited value.

An MR-Based Radiomics Model for Differentiation Between Hepatocellular Carcinoma and Focal Nodular Hyperplasia in Non-Cirrhotic Liver

2021 ◽  
Author(s):  
Zongren Ding ◽  
Kongying Lin ◽  
Jun Fu ◽  
Qizhen Huang ◽  
Guoxu Fang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Focal Nodular Hyperplasia ◽  
Cirrhotic Liver ◽  
Arterial Phase ◽  
Training Set ◽  
Combined Model ◽  
Clinical Model ◽  
Contrast Enhanced ◽  
Nodular Hyperplasia ◽  
Validation Set

Abstract Purpose:This study aimed to develop and validate a radiomics model for differentiating between hepatocellular carcinoma (HCC) and focal nodular hyperplasia (FNH) in non-cirrhotic livers using Gd-DTPA contrast-enhanced magnetic resonance imaging (MRI).Methods:We retrospectively enrolled 149 HCC patients and 75 FNH patients seen between May 2015 and May 2019 at our center and randomly allocated patients to a training set (n = 156) and a validation set (n = 68). A total of 2,260 radiomics features were extracted from the arterial phase and portal venous phase of Gd-DTPA contrast-enhanced MRI. Using Max-Relevance and Min-Redundancy, random forests, and the least absolute shrinkage and selection operator algorithm for dimensionality reduction, multivariable logistic regression was used to build the radiomics model. A clinical model and combined model were also established. The diagnostic performance of the three models was compared. Results:Eight radiomics features were chosen to build a radiomics model, and four clinical factors (age, sex, HbsAg, and enhancement pattern) were chosen to build the clinical model. When evaluating the performance of three models, the clinical model that included clinical data and visual MRI findings achieved excellent performance in the training set (AUC, 0.937; 95% CI, 0.887–0.970) and the validation set (AUC, 0.903; 95% CI, 0.807–0.962), and there was no significant difference between the radiomics model and the clinical model. The AUC of the combined model was significantly better than that of the clinical model for both the training (0.984 vs. 0.937, p = 0.002) and validation (0.972 vs. 0.903, p = 0.032) sets.Conclusions:The combined model based on clinical and radiomics features can well distinguish HCC from FNH in non-cirrhotic liver. Our model may assist clinicians in the clinical decision-making process.

Sign in / Sign up

Export Citation Format

Share Document