Showing papers by "Andrea Schenk published in 2011"
TL;DR: A 3D computer planning system for the prediction of thermal lesions in LITT was developed and the calculation of the directional cooling effect of intrahepatic vessels is possible for the first time.
Abstract: In situ ablation is increasingly being used for the treatment of liver malignancies. The application of these techniques is limited by the lack of a precise prediction of the destruction volume. This holds especially true in anatomically difficult situations, such as metastases in the vicinity of larger liver vessels. We developed a three-dimensional (3D) planning system for laser-induced thermotherapy (LITT) of liver tumors. The aim of the study was to validate the system for calculation of the destruction volume. LITT (28 W, 20 min) was performed in close contact to major hepatic vessels in six pigs. After explantation of the liver, the coagulation area was documented. The liver and its vascular structures were segmented from a pre-interventional CT scan. Therapy planning was carried out including the cooling effect of adjacent liver vessels. The lesions in vivo and the simulated lesions were compared with a morphometric analysis. The volume of lesions in vivo was 6,568.3 ± 3,245.9 mm3, which was not different to the simulation result of 6,935.2 ± 2,538.5 mm3 (P = 0.937). The morphometric analysis showed a sensitivity of the system of 0.896 ± 0.093 (correct prediction of destructed tissue). The specificity was 0.858 ± 0.090 (correct prediction of vital tissue). A 3D computer planning system for the prediction of thermal lesions in LITT was developed. The calculation of the directional cooling effect of intrahepatic vessels is possible for the first time. The morphometric analysis showed a good correlation under clinical conditions. The pre-therapeutic calculation of the ablation zone might be a valuable tool for procedure planning.
21 citations
TL;DR: The results show that uncertainty sampling outperforms common random or error sampling strategies by achieving more accurate classification results with a lower number of training images.
18 citations
TL;DR: The use of computational modeling for treatment planning of interventional procedures on the example of two clinically used therapies for liver cancer, which are used for both primary tumors as well as metastatic tumors are demonstrated.
Abstract: In the following, we demonstrate the use of computational modeling for treatment planning of interventional procedures on the example of two clinically used therapies for liver cancer, which are used for both primary tumors (i.e., cancer originating in the liver) as well as metastatic tumors.
15 citations
TL;DR: Almost half of all livers in this series had paradoxical "anatomical"/"territorial" MHV belonging patterns that placed them at risk for right and left hepatectomies, which should be considered particularly risky for venous congestion in right hemiliver grafts and in extended left liver transplantation.
13 citations