Nitesh V Patel1,2,3, Kiersten Frenchu1, Shabbar F Danish1,3. 1. Division of Neurosurgery, Robert Wood Johnson Medical School, Rutgers, New Brunswick, New Jersey. 2. Department of Neurosurgery, New Jersey Medical School, Rutgers, Newark, New Jersey. 3. Section of Neurosurgery, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey.
Abstract
BACKGROUND: Magnetic resonance guided laser induced thermal therapy (LITT) is a minimally invasive method to treat a wide range of intracranial pathologies. The Arrhenius model is used to generate a thermal damage estimate (TDE) predicting ablation extent. OBJECTIVE: Evaluation and correlation of the TDE to magnetic resonance imaging (MRI)-estimated ablation extent in human cases. METHODS: The Medtronic Visualase system (Medtronic Inc, Dublin, Ireland) was utilized. Postablation axial T1-contrast enhanced images were acquired and intraoperative TDE image was obtained from the Visualase console. OsiriX DICOM Viewer (Pixmeo Inc, Bernex, Switzerland) was utilized to calculate cross-sectional area on MRI. ImageJ (National Institutes of Health, Bethesda, Maryland) was utilized for TDE area. Two blinded raters performed all measures. Statistical testing included Pearson correlation and the Student's t-test. RESULTS: Twenty-two cases including tumor and epilepsy were evaluated. Average MRI predicted tumor ablation area was 4.72 ± 2.22 cm2 and average predicted epilepsy ablation area was 4.12 ± 1.89 cm2. Average tumor TDE was 4.02 ± 1.95 cm2 and average epilepsy TDE was 4.36 ± 2.21 cm2. Rater 1's ablation areas and TDEs correlated with r = 0.89 (P < .0001) and no significant difference (P > .5). Rater 2's ablation areas and TDEs correlated with r = 0.91 (P < .0001) and no significant difference (P > .7). Rater 1 vs Rater 2 showed a strong correlation for TDE (r = 0.98, P < .000001) and ablation area (r = 0.96, P < .0001) and no significant difference (P > .5). CONCLUSION: The TDE is an accurate and reliable measure of ablated area in LITT in human cases as assessed on postoperative MRI. Future studies should be larger and assess reliability of the TDE when multiple lasers and planes are used.
BACKGROUND: Magnetic resonance guided laser induced thermal therapy (LITT) is a minimally invasive method to treat a wide range of intracranial pathologies. The Arrhenius model is used to generate a thermal damage estimate (TDE) predicting ablation extent. OBJECTIVE: Evaluation and correlation of the TDE to magnetic resonance imaging (MRI)-estimated ablation extent in human cases. METHODS: The Medtronic Visualase system (Medtronic Inc, Dublin, Ireland) was utilized. Postablation axial T1-contrast enhanced images were acquired and intraoperative TDE image was obtained from the Visualase console. OsiriX DICOM Viewer (Pixmeo Inc, Bernex, Switzerland) was utilized to calculate cross-sectional area on MRI. ImageJ (National Institutes of Health, Bethesda, Maryland) was utilized for TDE area. Two blinded raters performed all measures. Statistical testing included Pearson correlation and the Student's t-test. RESULTS: Twenty-two cases including tumor and epilepsy were evaluated. Average MRI predicted tumor ablation area was 4.72 ± 2.22 cm2 and average predicted epilepsy ablation area was 4.12 ± 1.89 cm2. Average tumor TDE was 4.02 ± 1.95 cm2 and average epilepsy TDE was 4.36 ± 2.21 cm2. Rater 1's ablation areas and TDEs correlated with r = 0.89 (P < .0001) and no significant difference (P > .5). Rater 2's ablation areas and TDEs correlated with r = 0.91 (P < .0001) and no significant difference (P > .7). Rater 1 vs Rater 2 showed a strong correlation for TDE (r = 0.98, P < .000001) and ablation area (r = 0.96, P < .0001) and no significant difference (P > .5). CONCLUSION: The TDE is an accurate and reliable measure of ablated area in LITT in human cases as assessed on postoperative MRI. Future studies should be larger and assess reliability of the TDE when multiple lasers and planes are used.
Authors: Walter J Jermakowicz; Iahn Cajigas; Lia Dan; Santiago Guerra; Samir Sur; Pierre-Francois D'Haese; Andres M Kanner; Jonathan R Jagid Journal: PLoS One Date: 2018-07-06 Impact factor: 3.240