Mathematical Modeling of Thermal Damage Estimate Volumes in MR-guided Laser Interstitial Thermal Therapy

被引:4
作者
Liang, Allison S. [1 ]
Munier, Sean M. [1 ]
Danish, Shabbar F. [1 ]
机构
[1] Rutgers Robert Wood Johnson Med Sch, Dept Neurosurg, New Brunswick, NJ USA
关键词
Laser interstitial thermal therapy; LITT; magnetic resonance thermometry; MRgLITT; thermal ablation parameters;
D O I
10.1111/jon.12830
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND AND PURPOSE Magnetic resonance-guided laser interstitial thermal therapy (MRgLITT) is a minimally invasive procedure that produces real-time thermal damage estimates (TDEs) of ablation. Currently, MRgLITT software provides limited quantitative parameters for intraoperative monitoring, but orthogonal TDE-MRI slices can be utilized to mathematically estimate ablation volume. The objective of this study was to model TDE volumes and validate using post-24 hours MRI ablative volumes. METHODS Ablations were performed with the Visualase Laser Ablation System (Medtronic). Using ellipsoidal parameters determined for dual-TDEs from orthogonal MRI planes, TDE volumes were calculated by two definite integral methods (A and B) implemented in Matlab (MathWorks). Post-24 hours MRI ablative volumes were measured in OsiriX (Pixmeo) by two-blinded raters and compared to TDE volumes via paired t-test and Pearson's correlations. RESULTS Twenty-two ablations for 20 patients with various intracranial pathologies were included. Average TDE volume calculated with method A was 3.44 +/- 1.96 cm(3) and with method B was 4.83 +/- 1.53 cm(3). Method A TDE volumes were significantly different than post-24 hours volumes (P < .001). Method B TDE volumes were not significantly different than post-24 hours volumes (P = .39) and strongly correlated with each other (r = .85, R-2 = .72, P < .0001). A total of eight of 22 (36%) method A versus 17 of 22 (77%) method B TDE volumes were within 25% of the post-24 hours ablative volume. CONCLUSION We present a viable mathematical method integrating dual-plane TDEs to calculate volumes. Future algorithmic iterations will incorporate additional calculated variables that improve ablative volume estimations.
引用
收藏
页码:334 / 340
页数:7
相关论文
共 50 条
[41]   The Impact of Perilesional Heatsink Structures on Ablation Volumes in Laser Interstitial Thermal Therapy for Brain Metastases [J].
Bhatia, Shovan ;
Berke, Chandler N. ;
Rivera, Cameron A. ;
Cleri, Nathaniel A. ;
Mahavadi, Anil ;
Merenzon, Martin A. ;
Khalafallah, Adham M. ;
Levy, Adam S. ;
Daggubati, Lekhaj C. ;
Morell, Alexis A. ;
Kaye, Brandon ;
Sanchez, Pier ;
Shah, Ashish H. ;
Komotar, Ricardo J. ;
Ivan, Michael E. .
NEUROSURGERY, 2024, 95 (04) :849-858
[42]   Magnetic resonance-guided laser interstitial thermal therapy for posterior fossa neoplasms [J].
Ashraf, Omar ;
Arzumanov, Grant ;
Luther, Evan ;
McMahon, J. Tanner ;
Malcolm, James G. ;
Mansour, Samuel ;
Lee, Ian Y. ;
Willie, Jon T. ;
Komotar, Ricardo J. ;
Danish, Shabbar F. .
JOURNAL OF NEURO-ONCOLOGY, 2020, 149 (03) :533-542
[43]   Magnetic resonance-guided laser interstitial thermal therapy for posterior fossa neoplasms [J].
Omar Ashraf ;
Grant Arzumanov ;
Evan Luther ;
J. Tanner McMahon ;
James G. Malcolm ;
Samuel Mansour ;
Ian Y. Lee ;
Jon T. Willie ;
Ricardo J. Komotar ;
Shabbar F. Danish .
Journal of Neuro-Oncology, 2020, 149 :533-542
[44]   Stereotactic MRI-guided laser interstitial thermal therapy for extratemporal lobe epilepsy [J].
Gupta, Kunal ;
Cabaniss, Brian ;
Kheder, Ammar ;
Gedela, Satyanarayana ;
Koch, Paul ;
Hewitt, Kelsey C. ;
Alwaki, Abdulrahman ;
Rich, Christopher ;
Ramesha, Supriya ;
Hu, Ranliang ;
Drane, Daniel L. ;
Gross, Robert E. ;
Willie, Jon T. .
EPILEPSIA, 2020, 61 (08) :1723-1734
[45]   A distribution-based method for thermal damage model analysis and optimization in brain laser interstitial thermal therapy [J].
Liang, Libin ;
Gao, Tingting ;
Ding, Hui ;
Wang, Guangzhi .
MEDICAL IMAGING 2022: IMAGE PROCESSING, 2022, 12032
[46]   Modeling for neurosurgical laser interstitial thermal therapy with and without intracranial recording electrodes [J].
Keefe, Daniel W. ;
Christianson, David T. ;
Davis, Greyson W. ;
Oya, Hiroyuki ;
Howard III, Matthew A. ;
Petkov, Christopher I. ;
Toor, Fatima .
CURRENT RESEARCH IN NEUROBIOLOGY, 2024, 7
[47]   Laser interstitial thermal therapy for brain metastases [J].
Srinivasan, Ethan S. ;
Grabowski, Matthew M. ;
Nahed, Brian, V ;
Barnett, Gene H. ;
Fecci, Peter E. .
NEURO-ONCOLOGY ADVANCES, 2021, 3 :V16-V25
[48]   Laser Interstitial Thermal Therapy for Cavernous Malformations: A Systematic Review [J].
Yousefi, Omid ;
Sabahi, Mohammadmahdi ;
Malcolm, James ;
Adada, Badih ;
Borghei-Razavi, Hamid .
FRONTIERS IN SURGERY, 2022, 9
[49]   Laser interstitial thermal therapy for newly diagnosed and recurrent glioblastoma [J].
Thomas, Jonathan G. ;
Rao, Ganesh ;
Kew, Yvonne ;
Prabhu, Sujit S. .
NEUROSURGICAL FOCUS, 2016, 41 (04)
[50]   Complication avoidance in laser interstitial thermal therapy: lessons learned [J].
Pruitt, Rachel ;
Gamble, Alexander ;
Black, Karen ;
Schulder, Michael ;
Mehta, Ashesh D. .
JOURNAL OF NEUROSURGERY, 2017, 126 (04) :1238-1245