Search PubMed⌕ Search

PubMed · 9800613

Problems with post-clipping aneurysmal rests.

Abstract

The postclipping aneurysmal rest is a uncommon but sometimes dangerous event, that is generally underestimated. We distinguish the aneurysmal rest on the basis of its morphology in: 1) partial neck, 2) whole neck, 3) partial neck + partial sac, 4) whole neck + partial sac; on the basis of the relationship with the clip in: 1) proximal, 2) distal, 3) proximal + distal; on the basis of its size in: 1) small (< 2 mm), 2) medium (2-4 mm), 3) large (> 4 mm). From the surgical point of view the aneurysmal rests in our opinion can be classified as unavoidable, avoidable and intentional. Then we analyze the literature data in regard to the possible evolution and the risk of the rest and emphasize the importance of intraoperative angiography which has shown itself to be useful in avoiding aneurysmal rests. There is no consensus of opinion with regard to the type of treatment of the aneurysmal rest. In our opinion the factors which must be considered when deciding on the surgical treatment of a rest are: the age of the patient, mode of presentation of the previous aneurysm, the expertise of the surgeon and the approaches and the techniques used in the first operation, clinical presentation of the rest and its evolution, the surgeon's experience and the possibility of endovascular therapy. Finally we analyze some of the technical aspects of re-operation in relation to the anatomical relationship among the parent artery, the rest and the old clip.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

V D'Angelo, E Fiumara, F Florio. 1998. Problems with post-clipping aneurysmal rests.. https://pubmed.ncbi.nlm.nih.gov/9800613/

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

KEEP EXPLORING

Related citations

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↗

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↗

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↗