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46 results on '"Goerss, Stephan J."'

12. A novel re-attachable stereotactic frame for MRI-guided neuronavigation and its validation in a large animal and human cadaver model

Author

Edwards, Christine A, primary, Rusheen, Aaron E, additional, Oh, Yoonbae, additional, Paek, Seungleal B, additional, Jacobs, Joshua, additional, Lee, Kristen H, additional, Dennis, Kendall D, additional, Bennet, Kevin E, additional, Kouzani, Abbas Z, additional, Lee, Kendall H, additional, and Goerss, Stephan J, additional

Published
2018
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19. Volumetric quantification of Fisher Grade 3 aneurysmal subarachnoid hemorrhage: a novel approach to predict symptomatic vasospasm on admission computerized tomography scans

Author

Friedman, Jonathan A., primary, Goerss, Stephan J., additional, Meyer, Fredric B., additional, Piepgras, David G., additional, Pichelmann, Mark A., additional, McIver, Jon I., additional, Toussaint, L. Gerard, additional, McClelland, Robyn L., additional, Nichols, Douglas A., additional, Atkinson, John L. D., additional, and Wijdicks, Eelco F. M., additional

Published
2002
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46. Volumetric quantification of Fisher Grade 3 aneurysmal subarachnoid hemorrhage: a novel method to predict symptomatic vasospasm on admission computerized tomography scans.

Author

Friedman JA, Goerss SJ, Meyer FB, Piepgras DG, Pichelmann MA, McIver JI, Toussaint LG 3rd, McClelland RL, Nichols DA, Atkinson JL, and Wijdicks EF

Subjects
Adult, Aged, Aged, 80 and over, Brain Ischemia etiology, Female, Humans, Male, Middle Aged, Nervous System Diseases etiology, Predictive Value of Tests, Severity of Illness Index, Subarachnoid Hemorrhage complications, Vasospasm, Intracranial etiology, Blood Volume physiology, Blood Volume Determination methods, Brain Ischemia diagnostic imaging, Brain Ischemia physiopathology, Nervous System Diseases diagnostic imaging, Nervous System Diseases physiopathology, Patient Admission, Software, Subarachnoid Hemorrhage diagnostic imaging, Subarachnoid Hemorrhage physiopathology, Tomography, X-Ray Computed methods, Vasospasm, Intracranial diagnostic imaging, Vasospasm, Intracranial physiopathology
Abstract

Object: Predicting which patients with aneurysmal subarachnoid hemorrhage (SAH) will develop delayed ischemic neurological deficit (DIND) due to vasospasm remains subjective and unreliable. The authors analyzed the utility of a novel software-based technique to quantify hemorrhage volume in patients with Fisher Grade 3 aneurysmal SAH., Methods: Patients with aneurysmal SAH in whom a computerized tomography (CT) scan was performed within 72 hours of ictus and demonstrated Fisher Grade 3 SAH were analyzed. Severe DIND was defined as new onset complete focal deficit or coma. Moderate DIND was defined as new onset partial focal deficit or impaired consciousness without coma. Fifteen consecutive patients with severe DIND, 13 consecutive patients with moderate DIND, and 12 consecutive patients without DIND were analyzed. Software-based volumetric quantification was performed on digitized admission CT scans by a single examiner blinded to clinical information. There was no significant difference in age, sex, admission Hunt and Hess grade, or time to admission CT scan among the three groups (none, moderate, or severe DIND). Patients with severe DIND had a significantly higher cisternal volume of hemorrhage (median 30.5 cm3) than patients with moderate DIND (median 12.4 cm3) and patients without DIND (median 10.3 cm3; p < 0.001). Intraparenchymal hemorrhage and intraventricular hemorrhage were not associated with DIND. All 13 patients with cisternal volumes greater than 20 cm3 developed DIND, compared with 15 of 27 patients with volumes less than 20 cm3 (p = 0.004)., Conclusions: The authors developed a simple and potentially widely applicable method to quantify SAH on CT scans. A greater volume of cisternal hemorrhage on an admission CT scan in patients with Fisher Grade 3 aneurysmal SAH is highly associated with DIND. A threshold of cisternal hemorrhage volume (> 20 cm3) may exist above which patients are very likely to develop DIND. Prospective application of software-based volumetric quantification of cisternal SAH may predict which patients will develop DIND.

Published
2002
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