Virtual image navigation: a new method to control intraoperative bleeding in neuroendoscopic surgery. Technical note.
In this neuroendoscopic study the authors tested the newly developed "red-out module" of their visual navigation system that enables the neurosurgeon to achieve hemostasis if total visualization is lost due to hemorrhage ("red out") within the visual field. An optical position measurement system connected to the endoscope guarantees that digitized endoscopic images are coupled with the accurate endoscopic position. Computerized images are simultaneously stored with their respective position data, and this creates a virtual anatomical landscape. The system was tested in in vivo bleeding conditions in a rat model. Artificial endoscopic cavities were created in the inguinal, pelvic, and jugular regions in rats to imitate the conditions of the human ventricular system. Two experimental settings were tested: Technique I, in which a computer landmark has been previously determined at the point where the vessel will be lesioned; and Technique II, in which a landmark has been previously set in the surrounding area of the vessel. Immediately after hemorrhage obscures the visual field (red out), the computer automatically displays the virtual images on a separate monitor. The previously set landmarks and the graphic overlay of the coagulation fiber enable the surgeon to navigate within the operative field based on the virtual images and to perform coagulation at the site of the lesion. A total of 175 vessels were coagulated: 43 arteries and 132 veins. In using Technique I, 130 (90.9%) of 143 vessels and in using Technique II, 26 (81.2%) of 32 arteries were successfully coagulated. The authors' data revealed that virtual image guidance has the potential to be a helpful tool in neuroendoscopy.
Department of Neurosurgery, Ruhr-University Bochum, and Center of Neuroinformatics, Germany. Martin.Scholz@ruhr-uni-bochum.de
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D000818:Animals; D004195:Disease Models, Animal; D004724:Endoscopy / Q000379:methods*; D005260:Female; D006487:Hemostasis; D007091:Image Processing, Computer-Assisted; D020300:Intracranial Hemorrhages / Q000000981:diagnostic imaging*; D008297:Male; D019635:Neurosurgical Procedures / Q000379:methods*; D011859:Radiography; D051381:Rats; D017208:Rats, Wistar; D014584:User-Computer Interface