PubMed Health⌕ Search

PubMed · 1005510

[Retrograde iliocavographie].

Abstract

The authors describe a technique for retrograde phlebography of the lower limbs that involves introducing a Cournand catheter into the superior system via one pf the basilic veins so that it reaches the inferior vena cava, passing through the right atrium. The new feature of this method, which has been previously used by Dow and Gillot, is that the catheter may be passed fairly low into the iliac or femoral veins. Thus with a single catheter it is possible to carry out cavography, bilateral phlebography of the external iliac veins or even the internal iliacs, or bilateral femoral phlebography. The most suitable indications for the this technique include (1) the search for a residual cross after stripping, (2) the assessment of recent iliac thrombosis when there is an indication for surgery, (3) the assessment of a "swollen leg" when there is a doubt in diagnosis between lymphoedema and phleboedema, and (4) the study of deep repermeabilization in cases of post-phlebitic syndrome (before eventual surgery of the saphenous veins). This examination, which should be carried out in a vascular radiology unit; makes it possible to obtain films of good quality that are easy to interpret and that provide a very complete phlebographic assessment.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

F Paupy, J F Viallet. [Retrograde iliocavographie].. https://pubmed.ncbi.nlm.nih.gov/1005510/

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↗