scholarly journals Prediction of Remnant Liver Regeneration after Right Hepatectomy in Patients with Hepatocellular Carcinoma Using Preoperative CT Texture Analysis and Clinical Features

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tong Zhang ◽  
Yi Wei ◽  
Xiaopeng He ◽  
Yuan Yuan ◽  
Fang Yuan ◽  
...  

Objectives. To predict the regenerative rate of liver in patients with HCCs after right hepatectomy using texture analysis on preoperative CT combined with clinical features. Materials and Methods. 88 patients with 90 HCCs who underwent right hepatectomy were retrospectively included. The future remnant liver was semiautomatically segmented, and the volume of future remnant liver on preoperative CT (LVpre) and the volume of remnant liver on following-up CT (LVfu) were measured. We calculated the regeneration index (RI) by the following equation: (LVfu – LVpre)/LVpre) × 100 (%). The support vector machine recursive method was used for the feature selection. The Naive Bayes classifier was used to predict liver RI, and 5-fold cross-validation was performed to adjust the parameters. Sensitivity, specificity, and accuracy were calculated to evaluate the diagnostic efficiency of the model. Results. The mean RI was 142.99 ± 92.17%. Of all clinical parameters and texture features, the AST, ALB, PT-INR, Perc.10%, and S(5, −5)Correlat were found to be statistically significant with RI. The diagnostic sensitivity, specificity, and accuracy of the model in the training group were 0.902, 0.634, and 0.768, and the AUC value of the obtained model was 0.841. In the test group, the sensitivity, specificity, and accuracy of the model were 1.0, 0.429, and 0.778, respectively, and the AUC value was 0.844. Conclusion. The use of texture analysis on preoperative CT combined with clinical features can be helpful in predicting the liver regeneration rate in patients with HCCs after right hepatectomy.

2010 ◽  
Vol 42 (10) ◽  
pp. 4286-4288 ◽  
Author(s):  
M.K. Ju ◽  
G.H. Choi ◽  
D.J. Joo ◽  
K.H. Hur ◽  
J. Choi ◽  
...  

2020 ◽  
Author(s):  
Lungwani Muungo

A 72-year-old woman with a sigmoid colon cancer anda synchronous colorectal liver metastasis (CRLM), whichinvolved the right hepatic vein (RHV) and the inferiorvena cava (IVC), was referred to our hospital. Themetastatic lesion was diagnosed as initially unresectablebecause of its invasion into the confluence of theRHV and IVC. After she had undergone laparoscopicsigmoidectomy for the original tumor, she consequentlyhad 3 courses of modified 5-fluorouracil, leucovorin,and oxaliplatin (mFOLFOX6) plus cetuximab. Computedtomography revealed a partial response, and theconfluence of the RHV and IVC got free from cancerinvasion. After 3 additional courses of mFOLFOX6 pluscetuximab, preoperative percutaneous transhepaticportal vein embolization (PTPE) was performed tosecure the future remnant liver volume. Finally, a righthemihepatectomy was performed. The postoperativecourse was uneventful. The patient was dischargedfrom the hospital on postoperative day 13. She hadneither local recurrence nor distant metastasis 18 moafter the last surgical intervention. This multidisciplinarystrategy, consisting of conversion chemotherapy usingFOLFOX plus cetuximab and PTPE, could contributein facilitating curative hepatic resection for initiallyunresectable CRLM.Key words: Initially unresectable; Colorectal liver metastasis;Conversion chemotherapy; Cetuximab; Percutaneoustranshepatic portal vein embolization


2013 ◽  
Vol 37 (5) ◽  
pp. 1251-1258 ◽  
Author(s):  
Dominik Geisel ◽  
Maciej Malinowski ◽  
Maciej-Janusz Powerski ◽  
Joost Wüstefeld ◽  
Victoria Heller ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2133
Author(s):  
Francisco O. Cortés-Ibañez ◽  
Sunil Belur Nagaraj ◽  
Ludo Cornelissen ◽  
Gerjan J. Navis ◽  
Bert van der Vegt ◽  
...  

Cancer incidence is rising, and accurate prediction of incident cancers could be relevant to understanding and reducing cancer incidence. The aim of this study was to develop machine learning (ML) models that could predict an incident diagnosis of cancer. Participants without any history of cancer within the Lifelines population-based cohort were followed for a median of 7 years. Data were available for 116,188 cancer-free participants and 4232 incident cancer cases. At baseline, socioeconomic, lifestyle, and clinical variables were assessed. The main outcome was an incident cancer during follow-up (excluding skin cancer), based on linkage with the national pathology registry. The performance of three ML algorithms was evaluated using supervised binary classification to identify incident cancers among participants. Elastic net regularization and Gini index were used for variables selection. An overall area under the receiver operator curve (AUC) <0.75 was obtained, the highest AUC value was for prostate cancer (random forest AUC = 0.82 (95% CI 0.77–0.87), logistic regression AUC = 0.81 (95% CI 0.76–0.86), and support vector machines AUC = 0.83 (95% CI 0.78–0.88), respectively); age was the most important predictor in these models. Linear and non-linear ML algorithms including socioeconomic, lifestyle, and clinical variables produced a moderate predictive performance of incident cancers in the Lifelines cohort.


HPB ◽  
2021 ◽  
Vol 23 ◽  
pp. S46-S47
Author(s):  
M. Couto ◽  
F. Gianonne ◽  
B. Guiu ◽  
F. Navarro ◽  
F. Panaro

2009 ◽  
Vol 14 (2) ◽  
pp. 369-378 ◽  
Author(s):  
Wilmar de Graaf ◽  
Krijn P. van Lienden ◽  
Sander Dinant ◽  
Joris J. T. H. Roelofs ◽  
Olivier R. C. Busch ◽  
...  

HPB Surgery ◽  
2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
R. Ladurner ◽  
M. Schenk ◽  
R. Margreiter ◽  
F. Offner ◽  
A. Königsrainer

Objective. The minimal amount of liver mass necessary for regeneration is still a matter of debate. The aim of the study was to analyze liver regeneration factors after extended resection with or without portosystemic shunt. Methods. An extended left hemihepatectomy was performed in 25 domestic pigs, in 15 cases after a portosystemic H-shunt. The expression of Ki-67, VEGF, TGF-, FGF, and CK-7 was analyzed in paraffin-embedded tissue sections. Results. The volume of the remnant liver increased about 2.5-fold at the end of the first week after resection. With 19 cells/10 Glisson fields versus 4/10, Ki-67-expression was significantly higher in the H-shunt group. VEGF- and CK-7-expressions were significantly higher in the control group. No significant change was found in FGF-expression. The expression of TGF- was higher, but not significantly, in the control group. Conclusions. The expression of Ki-67, and therefore hepatocyte regeneration, was increased in the shunt group. The expression of CK-7 on biliary epithelium and the expression of VEGF, however, were stronger in the control group.


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