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Value of three-dimensional reconstructions in pancreatic carcinoma using multidetector CT:Initial results

World Journal of Gastroenterology 2009年第46期15卷 5827-5832页

作者： Miriam Klauβ Max schbinger Ivo Wolf Jens Werner ha.s-peter meinzer ha.s-Ulrich Kauczor Lars Grenacher Department of Diagnostic and Interventional Radiology University of Heidelberg Department of Medical and Biological Informatics German Cancer Research Center(DKFZ) surgical Clinic University of Heidelberg

AIM:To evaluate the use of three-dimensional imaging of pancreatic carcinoma using multidetector computed tomography(CT)in a prospective ***:Ten patients with suspected pancreatic tumors were examined prospectively using multidetec-tor CT(somatom sensation 16,siemens,Erlangen,Germany).The images were evaluated for the pres-ence of a pancreatic carcinoma and invasion of the peripancreatic vessels and surrounding *** the isotropic CT data sets,a three-dimensional image was created with automatic vascular analysis and semi-automatic segmentation of the organs and pancreatic tumor by a *** CT examinations and the three-dimensional images were presented to the sur-geon directly before and during the patient's operation using the Medical Imaging Interaction Toolkit-based software "ReLiver".Immediately after surgery,the value of the two images was judged by the *** operation and the histological results served as the gold ***:Nine patients had a pancreatic carcinoma(all pT3),and one patient had a serous *** tumor inf iltrated the superior mesenteric *** inf iltration was correctly *** carcinomas were *** comparison to the CT image with axial and coronal reconstructions,the three-dimensional image was judged by the surgeons as better for operation planning and consistently described as ***:A 3D-image of the pancreas repre-sents an invaluable aid to the ***,the 3D-software must be further developed in order to be integrated into daily clinical routine.

关键词： Pancreatic carcinoma 3D-reconstruction Multidetector computed tomography Pancreatic carcinomainvasion segmentation

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