Hippocampal volumetric integrity in mesial temporal lobe epilepsy: A fast novel method for analysis of structural MRI

• Published in: Epilepsy research Vol. 154; pp. 157 - 162
• Main Authors: Hakimi, Mathew, Ardekani, Babak A., Pressl, Christina, Blackmon, Karen, Thesen, Thomas, Devinsky, Orrin, Kuzniecky, Ruben I., Pardoe, Heath R.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.08.2019
• Subjects: Hippocampal sclerosis; Hippocampal volumetric integrity; Hippocampal volumetry; Magnetic resonance imaging; Temporal lobe epilepsy; Hippocampal sclerosis; Temporal lobe epilepsy; Magnetic resonance imaging; Hippocampal volumetry; Hippocampal volumetric integrity
• ISSN: 0920-1211; 1872-6844; 1872-6844
• DOI: 10.1016/j.eplepsyres.2019.05.014

•HVI is a fast novel method for analysis of MRI scans.•MRI processing time of approximately 30 s.•Sensitive to hippocampal sclerosis (HS).•Detects HS using both research and clinical imaging protocols. We investigate whether a rapid and novel automated MRI processing technique for assessing hippocampal volumetric integrity (HVI) can be used to identify hippocampal sclerosis (HS) in patients with mesial temporal lobe epilepsy (mTLE) and determine its performance relative to hippocampal volumetry (HV) and visual inspection. We applied the HVI technique to T1-weighted brain images from healthy control (n = 35), mTLE (n = 29), non-HS temporal lobe epilepsy (TLE, n = 44), and extratemporal focal epilepsy (EXTLE, n = 25) subjects imaged using a standardized epilepsy research imaging protocol and on non-standardized clinically acquired images from mTLE subjects (n = 40) to investigate if the technique is translatable to clinical practice. Performance of HVI, HV, and visual inspection was assessed using receiver operating characteristic (ROC) analysis. mTLE patients from both research and clinical groups had significantly reduced ipsilateral HVI relative to controls (effect size: -0.053, 5.62%, p =  0.002 using a standardized research imaging protocol). For lateralizing mTLE, HVI had a sensitivity of 88% compared with a HV sensitivity of 92% when using specificity equal to 70%. The novel HVI approach can effectively detect HS in clinical populations, with an average image processing time of less than a minute. The fast processing speed suggests this technique could have utility as a quantitative tool to assist with imaging-based diagnosis and lateralization of HS in a clinical setting.