Objective: Magnetic resonance-guided laser interstitial thermal therapy (MRgLITT) is a novel tool and a minimally invasive treatment to drug-resistant epilepsy (DRE). The focus of this research was to evaluate the effectiveness and safety of the newly developed dual-wavelength dual-output MRgLITT system LaserRO within two probe trajectories in treating DRE patients.

Methods: This is a retrospective analysis conducted at a single center, examining patients with DRE who received treatment with the LaserRO MRgLITT system. The system utilizes a sophisticated laser technology that can be configured as conventional single output for single wavelength or innovative dual outputs for dual wavelengths. The study involved a comprehensive review of patient information, encompassing demographics, seizure history, details related to the surgical parameters, and the subsequent clinical results. Primary outcome was post-operation seizure outcome defined as Engel Scale Class at the end of follow-up time.

Results: This study included a total of eight DRE patients received MRgLITT surgery between August 2022 and October 2023. Out of these, there were four mesial temporal lobe epilepsy (MTLE), three focal cortical dysplasia (FCD), and one cavernous malformation (CM) patients. Within the two probe trajectories, seven patients had single wavelength (980 or 1064 nm) laser treatment and one patient had dual-wavelength (980 and 1064 nm) laser treatment. The median age of the patients was 27 (22-31) years, with a median follow-up period of 9.7 (8.4-12.1) months. The mean BMI was recorded at 20.24 ± 2.95 kg/m, and epilepsy history was 13 ± 6 years. The median intraoperative blood loss was 5 (5-9) mL, operation time was 231 (169-254) minutes, and length of stay (LOS) was 3 (3-5) days. The mean ablation volume ratio was 96.52% ± 3.67%. In terms of outcomes, over a median follow-up time of 9.7 (range 8.4-12.1) months, there were two patients got Engel I, five patients got seizure-free, and one patient decreased 75% seizure. Importantly, no serious complications following the procedures occurred.

Conclusions: The preliminary results indicate that the MRgLITT procedure, which operates dual-output laser with single or dual wavelengths (980/1064 nm) within the two trajectories, is both effective and safe as a minimally invasive approach for different types of DRE patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11581821PMC
http://dx.doi.org/10.1111/cns.70118DOI Listing

Publication Analysis

Top Keywords

probe trajectories
12
magnetic resonance-guided
8
resonance-guided laser
8
laser interstitial
8
interstitial thermal
8
thermal therapy
8
dual-wavelength dual-output
8
dual-output laser
8
treatment drug-resistant
8
drug-resistant epilepsy
8

Similar Publications

Particle-tracking microrheology probes the rheology of soft materials by accurately tracking an ensemble of embedded colloidal tracer particles. One-particle analysis, which focuses on the trajectory of individual tracers is ideal for homogeneous materials that do not interact with the particles. By contrast, the characterization of heterogeneous, micro-structured materials or those where particles interact directly with the medium requires a two-particle analysis that characterizes correlations between the trajectories of distinct particle pairs.

View Article and Find Full Text PDF

Neoadjuvant (presurgical) anti-programmed cell death protein-1 (PD-1)-based immunotherapy as a new approach to cancer treatment has been developing on an accelerated trajectory since the seminal clinical trial results from studies in lung cancer and melanoma were published in 2018. Groundbreaking regulatory approvals in triple-negative breast cancer, non-small cell lung cancer and melanoma will certainly be followed by additional approvals in other disease indications, as clinical and basic research are burgeoning globally in hundreds of clinical trials across dozens of cancer types. As this field is evolving, it is addressing gaps in our understanding of biological mechanisms underlying PD-1 pathway blockade and their synergy with other antineoplastic drugs, probing mechanisms of response and resistance to neoadjuvant immunotherapy, optimizing efficacious clinical strategies, and analyzing commonalities and differences across cancer types.

View Article and Find Full Text PDF

Monitoring C-C coupling in catalytic reactions via machine-learned infrared spectroscopy.

Natl Sci Rev

February 2025

Institutes of Physical Science and Information Technology, School of Chemistry & Chemical Engineering; Engineering Research Center of Autonomous Unmanned System Technology (Ministry of Education), Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology, School of Artificial Intelligence, Anhui University, Hefei 230601, China.

Tracking atomic structural evolution along chemical transformation pathways is essential for optimizing chemical transitions and enhancing control. However, molecule-level knowledge of structural rearrangements during chemical processes remains a great challenge. Here, we couple infrared spectroscopy as a non-invasive method to probe molecular transformations, with a machine-learned protocol to immediately map the spectroscopic fingerprints to atomistic structures.

View Article and Find Full Text PDF

Arsenic modifies the microbial community assembly of soil-root habitats in .

ISME Commun

January 2025

Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.

, renowned for its ability to hyperaccumulate arsenic, presents a promising solution to the escalating issue of global soil arsenic contamination. This fern cultivates a unique underground microbial community to enhance its environmental adaptability. However, our understanding of the assembly process and the long-term ecological impacts of this community remains limited, hindering the development of effective soil remediation strategies.

View Article and Find Full Text PDF

Deciphering key nano-bio interface descriptors to predict nanoparticle-induced lung fibrosis.

Part Fibre Toxicol

January 2025

State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Suzhou Medical School, Soochow University, Suzhou, Jiangsu, 215123, China.

Background: The advancement of nanotechnology underscores the imperative need for establishing in silico predictive models to assess safety, particularly in the context of chronic respiratory afflictions such as lung fibrosis, a pathogenic transformation that is irreversible. While the compilation of predictive descriptors is pivotal for in silico model development, key features specifically tailored for predicting lung fibrosis remain elusive. This study aimed to uncover the essential predictive descriptors governing nanoparticle-induced pulmonary fibrosis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!