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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Radiological Investigation I: X-ray and CT01:30

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Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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Inter- and intra-scan variability for lung imaging quantifications via CT.

Sachin S Shankar1,2, Eric A Hoffman3,4, Jarron Atha3

  • 1Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University.

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Summary
This summary is machine-generated.

This study analyzed variability in lung imaging biomarkers across different CT scanners and parameters. Results show significant variability in some biomarkers, highlighting the need for standardization in CT imaging for accurate disease diagnosis.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biomarker Quantification

Background:

  • Accurate diagnosis in clinical settings relies on precise CT imaging.
  • Controlled variability across CT scans is crucial for reliable disease diagnosis.
  • Lung imaging biomarkers require consistent quantification for clinical utility.

Purpose of the Study:

  • To analyze the variability of lung imaging biomarkers.
  • To assess variations across different CT scanners and imaging parameters.
  • To identify specific biomarkers with high variability in CT quantification.

Main Methods:

  • Utilized a customized anthropomorphic chest phantom with experimental inserts.
  • Conducted scans across 10 different CT scanners under 209 imaging conditions.
  • Developed an algorithm to compute imaging biomarkers and analyzed variability using coefficients of variation (CV) and standard deviations of HU values.

Main Results:

  • LAA -950 and LAA -856 biomarkers exhibited the highest variability.
  • Most other biomarkers showed less than 10 HU or 10% CV for inter and intra-scan measurements.
  • No clear trend was observed between biomarker measurements and CTDIvol.

Conclusions:

  • CT quantification of lung imaging biomarkers demonstrates inherent variability.
  • The identified variability necessitates further research into standardization methods.
  • Reducing variability is essential for improving the accuracy of CT-based diagnoses.