scholarly journals Surgical Treatment Strategies and Prognosis of Hepatocellular Carcinoma

Author(s):  
Alessandro Uzzau ◽  
Maria Laura ◽  
Vittorio Cherchi ◽  
Serena Bertozzi ◽  
Claudio Avellini ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A401-A401
Author(s):  
M BOERMEESTER ◽  
E BELT ◽  
B LAMME ◽  
M LUBBERS ◽  
J KESECIOGLU ◽  
...  


2010 ◽  
Vol 6 (3) ◽  
pp. 199-206 ◽  
Author(s):  
Andrew Aronsohn ◽  
Smruti R. Mohanty




2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Rute Alves ◽  
Manuel Teixeira Gomes ◽  
Carlos Sampaio Macedo ◽  
Helena P. Miranda ◽  
Filipe Nery


2021 ◽  
Vol 13 (9) ◽  
pp. 967-978
Author(s):  
Francesca Carissimi ◽  
Matteo Nazzareno Barbaglia ◽  
Livia Salmi ◽  
Cristina Ciulli ◽  
Linda Roccamatisi ◽  
...  


2021 ◽  
pp. 1-4
Author(s):  
Kabalane Yammine ◽  
◽  
Sarah Khalife ◽  

Tumor thrombus infiltration of hepatocellular carcinoma (HCC) into the inferior vena cava and right atrium is rare and is associated with a poor prognosis due to the critical location of the tumor and the limited efficiency of the available treatment strategies. In this study, we report the case of a patient with advanced HCC and tumor thrombus in the inferior vena cava and right atrium who demonstrated complete response with mass retraction upon Yttrium-90 trans-arterial radioembolization (90Y- TARE) therapy. Throughout the 16 months follow-ups after the radioembolization, the patient was free of any complications, revealing no occurrence of radiation-induced pneumonitis or tumor recurrence.





2021 ◽  
Vol 11 ◽  
Author(s):  
Yuyan Chen ◽  
Zelong Liu ◽  
Yunxian Mo ◽  
Bin Li ◽  
Qian Zhou ◽  
...  

Objectives: Preoperative prediction of post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) is significant for developing appropriate treatment strategies. We aimed to establish a radiomics-based clinical model for preoperative prediction of PHLF in HCC patients using gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI).Methods: A total of 144 HCC patients from two medical centers were included, with 111 patients as the training cohort and 33 patients as the test cohort, respectively. Radiomics features and clinical variables were selected to construct a radiomics model and a clinical model, respectively. A combined logistic regression model, the liver failure (LF) model that incorporated the developed radiomics signature and clinical risk factors was then constructed. The performance of these models was evaluated and compared by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC) with 95% confidence interval (CI).Results: The radiomics model showed a higher AUC than the clinical model in the training cohort and the test cohort for predicting PHLF in HCC patients. Moreover, the LF model had the highest AUCs in both cohorts [0.956 (95% CI: 0.955–0.962) and 0.844 (95% CI: 0.833–0.886), respectively], compared with the radiomics model and the clinical model.Conclusions: We evaluated quantitative radiomics features from MRI images and presented an externally validated radiomics-based clinical model, the LF model for the prediction of PHLF in HCC patients, which could assist clinicians in making treatment strategies before surgery.





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