Brain retraction and thickness of cerebral neocortex: An automated technique for detecting retraction-induced anatomic changes using magnetic resonance imaging

Andrew S. Little, Seban Liu, Scott Beeman, Tejas Sankar, Mark C. Preul, Leland S. Hu, Kris A. Smith, Leslie C. Baxter

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

BACKGROUND: Treating deep-seated cerebral lesions often requires retracting the brain. Retraction, however, causes clinically significant postoperative neurological deficits in 3% to 9% of intracranial cases. OBJECTIVE: This pilot study used automated analysis of postoperative magnetic resonance images (MRIs) to determine whether brain retraction caused local anatomic changes to the cerebral neocortex and whether such changes represented sensitive markers for detecting brain retraction injury. METHODS: Pre-and postoperative maps of whole-brain cortical thickness were generated from 3-dimensional MRIs of 6 patients who underwent selective amygdalohippocampectomy for temporal lobe epilepsy (5 left hemispheres, 1 right hemisphere). Mean cortical thickness was determined in the inferior temporal gyrus (ITG test), where a retractor was placed during surgery, and in 2 control gyri-the posterior portion of the inferior temporal gyrus (ITG control) and motor cortex control. Regions of cortical thinning were also compared with signs of retraction injury on early postoperative MRIs. RESULTS: Postoperative maps of cortical thickness showed thinning in the inferior temporal gyrus where the retractor was placed in 5 patients. Postoperatively, mean cortical thickness declined from 4.1 ± 0.4 mm to 2.9 ± 0.9 mm in ITG test (P = .03) and was unchanged in the control regions. Anatomically, the region of neocortical thinning correlated with postoperative edema on MRIs obtained within 48 hours of surgery. CONCLUSION: Postoperative MRIs can be successfully interrogated for information on cortical thickness. Brain retraction is associated with chronic local thinning of the neocortex. This automated technique may be sensitive enough to detect regions at risk for functional impairment during craniotomy that cannot be easily detected on postoperative structural imaging.

Original languageEnglish (US)
Pages (from-to)ons277-ons282
JournalNeurosurgery
Volume67
Issue numberSUPPL. 1
DOIs
StatePublished - Dec 2010

Keywords

  • Amygdalohippocampectomy
  • Brain retraction injury
  • Cortical thickness
  • FreeSurfer

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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