PURPOSE: To retrospectively assess the main variables that affect the complete magnetic resonance (MR) imaging-guided resection of supratentorial low-grade gliomas. MATERIALS AND METHODS: Institutional review board approval was obtained for this retrospective HIPAA-compliant study, with the requirement for informed consent waived. Data from 101 patients (61 men, 40 women; mean age, 39 years; age range, 18-72 years) who had nonenhancing supratentorial mass lesions that were histopathologically diagnosed as low-grade (World Health Organization grade II) gliomas and consecutively underwent surgery with intraoperative MR imaging guidance were analyzed. There were 21 low-grade astrocytomas, 64 oligodendrogliomas, and 16 mixed oligoastrocytomas. Initial and residual tumor volumes were measured on intraoperative T2-weighted MR images and three-dimensional spoiled gradient-echo MR images. The anatomic relationships between the tumor and eloquent cortical and/or subcortical regions and the influence of these relationships on the extent of resection were analyzed on the basis of preoperative MR imaging findings. Summary measures, univariate Fisher exact test and t test, and multivariate logistic regression analyses were performed. RESULTS: Tumor volume ranged from 2.7-231.0 mL. Univariate analyses revealed the following tumor characteristics to be significant predictive variables of incomplete tumor resection: diffuse tumor margin on T2-weighted MR images, oligodendroglioma or oligoastrocytoma histopathologic type, and large tumor volume (P < .05 for all). Tumor involvement of the following structures was associated with incomplete resection: corpus callosum, corticospinal tract, insular lobe, middle cerebral artery, motor cortex, optic radiation, visual cortex, and basal ganglia (P < .05 for all). Multivariate analyses revealed that incomplete tumor resection was due to tumor involvement of the corticospinal tract (P < .01), large tumor volume (P < .01), and oligodendroglioma histopathologic type (P = .02). CONCLUSION: The main variables associated with incomplete tumor resection in 101 patients were identified by using statistical predictive analyses. (c) RSNA, 2006.
PURPOSE: To retrospectively assess the main variables that affect the complete magnetic resonance (MR) imaging-guided resection of supratentorial low-grade gliomas. MATERIALS AND METHODS: Institutional review board approval was obtained for this retrospective HIPAA-compliant study, with the requirement for informed consent waived. Data from 101 patients (61 men, 40 women; mean age, 39 years; age range, 18-72 years) who had nonenhancing supratentorial mass lesions that were histopathologically diagnosed as low-grade (World Health Organization grade II) gliomas and consecutively underwent surgery with intraoperative MR imaging guidance were analyzed. There were 21 low-grade astrocytomas, 64 oligodendrogliomas, and 16 mixed oligoastrocytomas. Initial and residual tumor volumes were measured on intraoperative T2-weighted MR images and three-dimensional spoiled gradient-echo MR images. The anatomic relationships between the tumor and eloquent cortical and/or subcortical regions and the influence of these relationships on the extent of resection were analyzed on the basis of preoperative MR imaging findings. Summary measures, univariate Fisher exact test and t test, and multivariate logistic regression analyses were performed. RESULTS:Tumor volume ranged from 2.7-231.0 mL. Univariate analyses revealed the following tumor characteristics to be significant predictive variables of incomplete tumor resection: diffuse tumor margin on T2-weighted MR images, oligodendroglioma or oligoastrocytoma histopathologic type, and large tumor volume (P < .05 for all). Tumor involvement of the following structures was associated with incomplete resection: corpus callosum, corticospinal tract, insular lobe, middle cerebral artery, motor cortex, optic radiation, visual cortex, and basal ganglia (P < .05 for all). Multivariate analyses revealed that incomplete tumor resection was due to tumor involvement of the corticospinal tract (P < .01), large tumor volume (P < .01), and oligodendroglioma histopathologic type (P = .02). CONCLUSION: The main variables associated with incomplete tumor resection in 101 patients were identified by using statistical predictive analyses. (c) RSNA, 2006.
Authors: D T Gering; A Nabavi; R Kikinis; N Hata; L J O'Donnell; W E Grimson; F A Jolesz; P M Black; W M Wells Journal: J Magn Reson Imaging Date: 2001-06 Impact factor: 4.813
Authors: A Nabavi; P M Black; D T Gering; C F Westin; V Mehta; R S Pergolizzi; M Ferrant; S K Warfield; N Hata; R B Schwartz; W M Wells; R Kikinis; F A Jolesz Journal: Neurosurgery Date: 2001-04 Impact factor: 4.654
Authors: J P Schneider; T Schulz; F Schmidt; J Dietrich; S Lieberenz; C Trantakis; V Seifert; S Kellermann; R Schober; L Schaffranietz; M Laufer; T Kahn Journal: AJNR Am J Neuroradiol Date: 2001-01 Impact factor: 3.825
Authors: Francesco Pignatti; Martin van den Bent; Desmond Curran; Channa Debruyne; Richard Sylvester; Patrick Therasse; Denes Afra; Philippe Cornu; Michel Bolla; Charles Vecht; Abul B M F Karim Journal: J Clin Oncol Date: 2002-04-15 Impact factor: 44.544
Authors: Susumu Mori; Kim Frederiksen; Peter C M van Zijl; Bram Stieltjes; Michael A Kraut; Meiyappan Solaiyappan; Martin G Pomper Journal: Ann Neurol Date: 2002-03 Impact factor: 10.422
Authors: Neculai Archip; Olivier Clatz; Stephen Whalen; Dan Kacher; Andriy Fedorov; Andriy Kot; Nikos Chrisochoides; Ferenc Jolesz; Alexandra Golby; Peter M Black; Simon K Warfield Journal: Neuroimage Date: 2006-12-23 Impact factor: 6.556
Authors: Jong Woo Lee; Patrick Y Wen; Shelley Hurwitz; Peter Black; Santosh Kesari; Jan Drappatz; Alexandra J Golby; William M Wells; Simon K Warfield; Ron Kikinis; Edward B Bromfield Journal: Arch Neurol Date: 2010-03
Authors: Nathalie Y R Agar; Alexandra J Golby; Keith L Ligon; Isaiah Norton; Vandana Mohan; Justin M Wiseman; Allen Tannenbaum; Ferenc A Jolesz Journal: Neurosurgery Date: 2011-02 Impact factor: 4.654