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Related Concept Videos

Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Physical Assessment of the Respiratory Tract I: Health History01:28

Physical Assessment of the Respiratory Tract I: Health History

Physical assessment of the respiratory tract is critical to patient care. It allows healthcare professionals to identify and manage various respiratory conditions. The process involves a combination of subjective and objective data collection.
Subjective Data
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Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
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Sampling density for the quantitative evaluation of air trapping.

Michael L Goris1, Terry E Robinson

  • 1Division of Nuclear Medicine H0101, Stanford University School of Medicine, Stanford, CA, 94305-5281, USA. mlgoris@stanford.edu

Pediatric Radiology
|December 20, 2008
PubMed
Summary

Reducing computed tomography (CT) scan density in children with cystic fibrosis (CF) can maintain measurement precision down to 10% sampling. Below 3.4% sampling density, however, accuracy significantly decreases, impacting air trapping evaluation.

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Area of Science:

  • Radiology
  • Pediatric Pulmonology
  • Medical Imaging

Background:

  • Radiation dose reduction is critical in pediatric imaging.
  • Computed tomography (CT) acquisition settings or sampling density can be modified to lower radiation exposure.
  • Serial radiological testing in children raises concerns about cumulative radiation burden.

Purpose of the Study:

  • To determine the minimum sampling density required for accurate assessment of air trapping in pediatric cystic fibrosis (CF) patients.
  • To evaluate the impact of reduced sampling density on the precision of air trapping measurements.

Main Methods:

  • Volumetric spiral CT scans were performed on ten pediatric CF patients.
  • An automated algorithm quantified air trapping across varying sampling densities (100% down to 1%).
  • Measurement variation was analyzed relative to full sampling density.

Main Results:

  • Measurement precision remained stable until a sampling density of 10%.
  • A significant decrease in precision was observed below 3.4% sampling density.
  • Observer variability did not significantly affect the results.

Conclusions:

  • A sampling density of at least 10% is necessary to maintain evaluation precision for air trapping in pediatric CF.
  • Sampling densities below 3.4% markedly decrease measurement precision.
  • Optimizing CT sampling density is crucial for reliable disease monitoring in cystic fibrosis.