Predictive Value of Conventional Ultrasound and Contrast-Enhanced Ultrasound in Early Recurrence of Hepatocellular Carcinoma after Surgical Resection

2016 ◽  
Vol 42 (5) ◽  
pp. 1042-1048 ◽  
Author(s):  
Yibin Wang ◽  
Jintang Liao ◽  
Wenjun Qi ◽  
Lulu Xie ◽  
Yueyi Li
Keyword(s):  
Hepatocellular Carcinoma ◽  
Surgical Resection ◽  
Predictive Value ◽  
Early Recurrence ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Conventional Ultrasound

Contrast-enhanced ultrasound–based ultrasomics score: a potential biomarker for predicting early recurrence of hepatocellular carcinoma after resection or ablation

2021 ◽  
Author(s):  
Hui Huang ◽  
Si-min Ruan ◽  
Meng-fei Xian ◽  
Ming-de Li ◽  
Mei-qing Cheng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Risk Group ◽  
Early Recurrence ◽  
High Risk Group ◽  
Low Risk ◽  
Primary Hepatocellular Carcinoma ◽  
Contrast Enhanced Ultrasound ◽  
Combined Model ◽  
Contrast Enhanced

Objectives: This study aimed to construct a prediction model based on contrast-enhanced ultrasound (CEUS) ultrasomics features and investigate its efficacy in predicting early recurrence (ER) of primary hepatocellular carcinoma (HCC) after resection or ablation. Methods: This study retrospectively included 215 patients with primary HCC, who were divided into a developmental cohort (n = 139) and a test cohort (n = 76). Four representative images—grayscale ultrasound, arterial phase, portal venous phase and delayed phase —were extracted from each CEUS video. Ultrasomics features were extracted from tumoral and peritumoral area inside the region of interest. Logistic-regression was used to establish models, including a tumoral model, a peritumoral model and a combined model with additional clinical risk factors. The performance of the three models in predicting recurrence within 2 years was verified. Results: The combined model performed best in predicting recurrence within 2 years, with an area under the curve (AUC) of 0.845, while the tumoral model had an AUC of 0.810 and the peritumoral model one of 0.808. For prediction of recurrence-free survival, the 2 year cumulative recurrence rate was significant higher in the high-risk group (76.5%) than in the low-risk group (9.5%; p < 0.0001). Conclusion: These CEUS ultrasomics models, especially the combined model, had good efficacy in predicting early recurrence of HCC. The combined model has potential for individual survival assessment for HCC patients undergoing resection or ablation. Advances in knowledge: CEUS ultrasomics had high sensitivity, specificity and PPV in diagnosing early recurrence of HCC, and high efficacy in predicting early recurrence of HCC (AUC > 0.8). The combined model performed better than the tumoral ultrasomics model and peritumoral ultrasomics model in predicting recurrence within 2 years. Recurrence was more likely to occur in the high-risk group than in the low-risk group, with 2-year cumulative recurrence rates respectively 76.5% and 9.5% (p < 0.0001).

scholarly journals Diagnostic value of contrast-enhanced ultrasound versus computed tomography for hepatocellular carcinoma: a retrospective, single-center evaluation of 234 patients

2020 ◽  
Vol 48 (6) ◽  
pp. 030006052093015 ◽  
Author(s):  
Vincent Schwarze ◽  
Constantin Marschner ◽  
Wiebke Völckers ◽  
Sergio Grosu ◽  
Giovanna Negrão de Figueiredo ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Hepatocellular Carcinoma ◽  
Predictive Value ◽  
Diagnostic Value ◽  
Ct Scans ◽  
Liver Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Single Center ◽  
Experienced Radiologist ◽  
Contrast Enhanced

Objective Hepatocellular carcinoma (HCC) is the most common cause of primary liver cancer. A major part of diagnostic HCC work-up is based on imaging findings from sonography, computed tomography (CT), or magnetic resonance imaging (MRI) scans. Contrast-enhanced ultrasound (CEUS) allows for the dynamic assessment of the microperfusion pattern of suspicious liver lesions. This study aimed to evaluate the diagnostic value of CEUS compared with CT scans for assessing HCC. Methods We performed a retrospective, single-center study between 2004 and 2018 on 234 patients with suspicious liver lesions who underwent CEUS and CT examinations. All patients underwent native B-mode, color Doppler and CEUS after providing informed consent. Every CEUS examination was performed and interpreted by a single experienced radiologist (European Federation of Societies for Ultrasound in Medicine and Biology level 3). Results CEUS was performed on all included patients without occurrence of any adverse effects. CEUS showed a sensitivity of 94%, a specificity of 70%, a positive predictive value of 93% and a negative predictive value of 72% for analyzing HCC compared with CT as the diagnostic gold standard. Conclusions CEUS has an excellent safety profile and shows a high diagnostic accuracy in assessing HCC compared with corresponding results from CT scans.

scholarly journals Contrast-enhanced ultrasound performance in predicting blunt splenic injuries requiring only observation and monitoring

2019 ◽  
Vol 21 (1) ◽  
pp. 16 ◽  
Author(s):  
Corrado Tagliati ◽  
Giulio Argalia ◽  
Gian Marco Giuseppetti
Keyword(s):  
Predictive Value ◽  
Imaging Modality ◽  
Splenic Trauma ◽  
Trauma Patients ◽  
Contrast Enhanced Ultrasound ◽  
True Negative ◽  
Contrast Enhanced ◽  
Blunt Splenic Trauma ◽  
Conventional Ultrasound

Aims: To assess contrast enhanced ultrasound (CEUS) performance in the prediction of non-operatively managed blunt spleen injuries requiring only observation and monitoring during follow-up and to evaluate if CEUS accuracy was higher than conventional ultrasound (US) in this field.Material and methods: In 112 hemodynamic stable blunt spleen trauma patients, CEUS was performed for follow-up after computed tomography evaluation in the emergency department. CEUS and US performance were assessed considering as true negative cases patients that had not underwent interventional or surgical treatment during follow-up and were assessed as negative for splenic complications respectively by CEUS or US examinations.Results: CEUS showed sensitivity of 100%, specificity of 96.1%, positive predictive value of 69.2%, negative predictive value of 100.0% and accuracy of 96.4%. CEUS showed a significantly higher accuracy than conventional US (p=0.013).Conclusions: CEUS is a very useful imaging modality during follow-up of blunt splenic trauma non-operatively managed, allowing an efficientprediction of splenic injuries requiring only observation and monitoring during follow-up.

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.

scholarly journals The Value of Contrast-Enhanced Ultrasound in the Diagnosis of Cesarean Scar Pregnancy

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Xi Xiong ◽  
Ping Yan ◽  
Chunyan Gao ◽  
Qiulei Sun ◽  
Fenglian Xu
Keyword(s):  
Predictive Value ◽  
Lower Uterine Segment ◽  
Youden Index ◽  
Peak Time ◽  
Contrast Enhanced Ultrasound ◽  
Cesarean Scar Pregnancy ◽  
Cesarean Scar ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Conventional Ultrasound

Objective. To evaluate the value of contrast-enhanced ultrasound (CEUS) in the cesarean scar pregnancy (CSP).Methods. Clinical data from 92 patients with lower uterine segment pregnancy, who underwent conventional ultrasound and CEUS examination in the Department of Obstetrics and Gynecology, were collected by Xinqiao Hospital Third Military Medical University from March 2014 to March 2015. The parameters of ultrasound contrast time-intensity curve (TIC), including arrival time, time to peak, time from peak to one half, basic intensity, peak intensity, and wash-in slope, were analyzed.Results. Of the 92 cases of patients with pregnancy in the lower uterine segment, 52 cases were CSP, and 40 cases were intrauterine pregnancy. CEUS was significantly better than conventional ultrasound in terms of sensitivity, negative predictive value, Youden index, and diagnostic accuracy (P<0.05). There was no significant difference in specificity and positive predictive value (P>0.05).Conclusion. CEUS has a higher accuracy than conventional ultrasound in diagnosis of CSP.

S1284 Predictive Value of FDG PET-CT for Early Recurrence in Surgical Resection Against Hepatocellular Carcinoma

2010 ◽  
Vol 138 (5) ◽  
pp. S-220
Author(s):  
Atsushi Hiraoka ◽  
Kojiro Michitaka ◽  
Masao Miyagawa ◽  
Hideki Kawasaki ◽  
Satoshi Hidaka ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Surgical Resection ◽  
Predictive Value ◽  
Fdg Pet ◽  
Early Recurrence ◽  
Pet Ct ◽  
Fdg Pet Ct

scholarly journals Intraarterial contrast-enhanced ultrasound to predict the short-term tumour response of hepatocellular carcinoma to Transarterial chemoembolization with Lipiodol

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiang Bo ◽  
Han Peng ◽  
Zhu LianHua ◽  
Fei Xiang ◽  
Luo YuKun
Keyword(s):  
Hepatocellular Carcinoma ◽  
Predictive Model ◽  
Predictive Value ◽  
Transarterial Chemoembolization ◽  
Characteristic Curve ◽  
Tumour Response ◽  
Locoregional Therapy ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Corona Enhancement

Abstract Background Transarterial chemoembolization (TACE) is an effective locoregional therapy in hepatocellular carcinoma (HCC). However, it is difficult to predict the tumour response (TR) of TACE intraprocedurally. The aim of this study was to predict the TR after TACE (1–3 months) in HCC patients using intraprocedural intraarterial contrast enhanced ultrasound (IA-CEUS). Methods In this case-control study, consecutive patients who received TACE in our hospital from September 2018 to May 2019 were enrolled. IA-CEUS was performed before and after TACE. Postoperative contrast-enhanced liver MRI was performed 1–3 months after TACE as the gold standard. According to the modified Response Evaluation Criteria in Solid Tumours (mRECIST), ultrasonic manifestations were compared between the complete remission (CR) group and non-CR group by univariate and multivariate analyses. A logistic predictive model was established and validated, and its diagnostic efficiency was evaluated. Results Forty-four patients with sixty-one lesions were enrolled in the study. Multivariate analysis identified, the risk factors as a large lesion diameter (OR: 1.84; 95% confidence interval [CI]: 1.009, 3.080; P = 0.020), a larger dimension of non-enhancing area in superior mesenteric artery (SMA)-CEUS than the size in B-mode ultrasound preoperatively (OR: 3.379; 95% CI: 1.346,8.484; P = 0.010), presence of corona enhancement in hepatic artery (HA)-CEUS postoperatively (OR: 6.642; 95% CI: 1.214, 36.331; P = 0.029), and decreased corona enhancement thickness (per centimetre) postoperatively (OR: 0.025; 95% CI: 0.006,0.718; P = 0.025). The area under the receiver operating characteristic curve (AUROC) of the predictive model was 0.904 (95% CI: 0.804, 0.966; P < 0.001). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 81.08, 91.67, 85.25, 93.75, and 75.86%, respectively. Leave-one-out cross-validation (LOOCV) showed that the accuracy was 77.05%. Conclusions Intraprocedural IA-CEUS can be used to predict the TR in HCC patients after TACE.

Predictive value of contrast-enhanced ultrasound combined with conventional ultrasound in solid renal parenchymal lesions

2021 ◽  
pp. 20210518
Author(s):  
Yingyu Cai ◽  
Fan Li ◽  
Zhaojun Li ◽  
Xin Li ◽  
Chunxiao Li ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Predictive Value ◽  
Contrast Enhanced Ultrasound ◽  
Counting Method ◽  
Scoring Method ◽  
Renal Lesions ◽  
Contrast Enhanced ◽  
Risk Of Malignancy ◽  
Conventional Ultrasound ◽  
Ultrasound Features

Objective: This study aimed to develop a model to predict the risk of malignancy in solid renal parenchymal lesions based on the imaging features of combined conventional and contrast-enhanced ultrasound (CEUS). Methods: A retrospective review was performed among patients with focal solid renal parenchymal lesions on ultrasound images. Ultrasound features were characterized by two experienced radiologists independently. A multiple logistic regression analysis was performed to determine the most relevant features and to estimate the risk of malignancy. Scoring and counting methods were developed based on the most relevant features. The diagnostic performance was evaluated by the sensitivity, specificity, positive predictive value, negative predictive value and area under the receiver operating characteristic curve (AUC). Results: A total of 519 renal lesions were included in this study. The conventional ultrasound features of diameter, echogenicity, hypoechoic rim and the CEUS feature of heterogeneity were identified as the most relevant features for prediction of malignancy. The sensitivity and specificity for the logistic regression model, the scoring method and the counting method were 95.3 and 93.4%, 93.8 and 87.8%, 88.8 and 93.9%, respectively. The logistic model had the best performance for diagnosing malignant renal lesions with AUC of 0.978, compared with the scoring method and the counting method with AUCs of 0.958 and 0.965. Conclusion: The combination of contrast-enhanced ultrasound with conventional ultrasound improved the diagnostic performance of solid renal lesions based on the logistic regression model. Advances in knowledge: In this study, we revealed that the combination of CEUS and conventional ultrasound provided higher accuracy for diagnosing malignant renal tumors.

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