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
[1]   MR-guided laser interstitial thermal therapy in the treatment of brain tumors and epilepsy [J].
Nielsen, Silas Haahr ;
Rasmussen, Rune .
ACTA NEUROCHIRURGICA, 2024, 166 (01)
[2]   MR-guided laser interstitial thermal therapy in the treatment of recurrent intracranial meningiomas [J].
Rammo, Richard ;
Scarpace, Lisa ;
Nagaraja, Tavarekere ;
Lee, Ian .
LASERS IN SURGERY AND MEDICINE, 2019, 51 (03) :245-250
[3]   Understanding the Relationship Between Real-Time Thermal Imaging and Thermal Damage Estimate During Magnetic Resonance-Guided Laser Interstitial Thermal Therapy [J].
Munier, Sean M. ;
Ginalis, Elizabeth E. ;
Desai, Akshay N. ;
Danish, Shabbar F. .
WORLD NEUROSURGERY, 2020, 134 :E1093-E1098
[4]   MR-guided Laser Interstitial Thermal Therapy mesencephalotomy for medically intractable malignant pain [J].
Aubignat, Mickael ;
Constans, Jean-Marc ;
Ouendo, Martial ;
Arnault, Jean-Philippe ;
Josse, Claire ;
Desenclos, Christine ;
Lefranc, Michel .
ACTA NEUROCHIRURGICA, 2025, 167 (01)
[5]   A cost analysis of MR-guided laser interstitial thermal therapy for adult refractory epilepsy [J].
Brandel, Michael G. ;
Kunwar, Nikhita ;
Alattar, Ali A. ;
Kang, Keiko M. ;
Forseth, Kiefer J. ;
Rennert, Robert C. ;
Shih, Jerry J. ;
Ben-Haim, Sharona .
EPILEPSIA, 2023, 64 (09) :2286-2296
[6]   Early outcomes of stereoelectroencephalography followed by MR-guided laser interstitial thermal therapy: a paradigm for minimally invasive epilepsy surgery [J].
Cobourn, Kelsey ;
Fayed, Islam ;
Keating, Robert F. ;
Oluigbo, Chima O. .
NEUROSURGICAL FOCUS, 2018, 45 (03)
[7]   Machine learning models for predicting seizure outcome after MR-guided laser interstitial thermal therapy in children [J].
Yossofzai, Omar ;
Stone, Scellig S. D. ;
Madsen, Joseph R. ;
Wang, Shelly ;
Ragheb, John ;
Mohamed, Ismail ;
Bollo, Robert J. ;
Clarke, Dave ;
Perry, M. Scott ;
Weil, Alexander G. ;
Raskin, Jeffrey S. ;
Pindrik, Jonathan ;
Ahmed, Raheel ;
Lam, Sandi K. ;
Fallah, Aria ;
Maniquis, Cassia ;
Andrade, Andrea ;
Ibrahim, George M. ;
Drake, James ;
Rutka, James T. ;
Tailor, Jignesh ;
Mitsakakis, Nicholas ;
Widjaja, Elysa .
JOURNAL OF NEUROSURGERY-PEDIATRICS, 2023, 32 (06) :739-749
[8]   Intracranial MR-guided laser-induced thermal therapy: single-center experience with the Visualase thermal therapy system [J].
Patel, Purvee ;
Patel, Nitesh V. ;
Danish, Shabbar F. .
JOURNAL OF NEUROSURGERY, 2016, 125 (04) :853-860
[9]   Case report: MR-guided laser induced thermal therapy for palliative cingulotomy [J].
Allam, Anthony K. ;
Larkin, M. Benjamin ;
Katlowitz, Kalman A. ;
Shofty, Ben ;
Viswanathan, Ashwin .
FRONTIERS IN PAIN RESEARCH, 2022, 3
[10]   MR-guided laser interstitial thermal therapy for drug-resistant lesional epilepsy: a single-center experience [J].
Niu H. ;
Li K. ;
Liang X. ;
Kong D. ;
Li Z. ;
Sun F. ;
Liu X. ;
Xu Z. ;
Wei X. ;
Lan S. ;
Lu C. .
Chinese Neurosurgical Journal, 9 (1)