PubMed Health⌕ Search

PubMed · 8176849

[Regional pulmonary function test--pulmonary nuclear medicine].

Abstract

Pulmonary nuclear medicine has been dominated by techniques that depict the distribution of pulmonary ventilation and perfusion. At present, there are three commercially available methods of performing a ventilation study. One of the methods utilizes xenon-gas 133Xe, one utilizes radioactive krypton gas, 81mKr, and the last is performed with a radioactive aerosol, usually the radio aerosol of 99Tc human serum albumin (HSA). Ventilation studies with 133Xe usually consist of an image taken after inhalation of a single breath, which can be followed by a serial image. After a rebreathing period of 3 to 5 minutes, the tracer (133Xe) is washed out of the lungs. The washout portion of the 133Xe study is the most reliable and sensitive to detect of the slow compartments. Krypton-81m has a very short physical half-life of 13 seconds. Thus, ventilation scans can be obtained in desired projections, and the rapid disappearance of the tracer from lungs will allow ventilation studies to be performed before and after medications and exercise. Radioaerosols also provide a means for investigating regional ventilation. Radioaerosols are small particles, rather than gases, and are deposited in the lung by impaction, sedimentation and random contact. With the recent development of new radiopharmaceuticals and refinement of current imaging techniques, especially quantitative techniques and single-photon emission computed tomography of the lung, pulmonary nuclear medicine has expanded its horizons.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

O Kitada. 1994. [Regional pulmonary function test--pulmonary nuclear medicine].. https://pubmed.ncbi.nlm.nih.gov/8176849/

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↗