PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 7624660

Robot for CT-guided stereotactic neurosurgery.

H Fankhauser·D Glauser·P Flury·Y Piguet·M Epitaux·J Favre·R A Meuli
View original source ↗Export metadata ↓

Abstract

At the 1989 meeting of the World Society for Stereotactic and Functional Neurosurgery in Maebashi, the authors presented the concept and design of a stereotactic neurosurgical robot. The first prototype has now been completed and has entered clinical testing. The characteristics are as follows. The robot is positioned behind the CT scan and operates inside the CT gantry. It is linked to the CT table and moves freely along its longitudinal axis, allowing for intraoperative scanning at any cranial level. The patient's body rests on the CT table, but the stereotactic headframe is fixed to the robot, allowing precise measurements of the head position under stereotactic conditions. During scanning, each CT slice appears immediately on the robotic workstation for selection of target and trajectory. In addition to the tool for automatic penetration of the skin, skull, and meninges, the robot is able to handle two other stereotactic instruments and to perform a complete stereotactic procedure without physical intervention by the physician. So far, depth electrodes and biopsy instruments have been developed for use by the robot. Since all parts of the robot were designed solely for stereotactic neurosurgery, integration of safety aspects was optimized. The first operations using an aspiration biopsy probe were successfully performed on 2 patients with malignant intracerebral cystic lesions on September 4, 1993.

Explore related subjects

HumansRoboticsStereotaxic TechniquesTherapy, Computer-AssistedTomography, X-Ray ComputedJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

H Fankhauser, D Glauser, P Flury, Y Piguet, M Epitaux, J Favre, R A Meuli. 1994. Robot for CT-guided stereotactic neurosurgery.. https://doi.org/10.1159/000100300

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗
PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗
PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗