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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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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.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
151
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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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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Updated: Nov 30, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Imaging algorithm for COVID-19: A practical approach.

Subha Ghosh1, Himanshu Deshwal2, Mnahi Bin Saeedan1

  • 1Thoracic Imaging, Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.

Clinical Imaging
|November 16, 2020
PubMed
Summary
This summary is machine-generated.

This review examines the role of chest imaging, particularly computed tomography (CT), in diagnosing COVID-19 pneumonia. It evaluates current evidence and proposes an algorithm for optimal use of imaging resources amidst evolving testing capabilities.

Keywords:
COVID-19Chest radiographComputed tomographySARS-CoV-2Thoracic imaging in COVID-19

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Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • The COVID-19 pandemic presented significant challenges in diagnosis and resource management.
  • Computed tomography (CT) demonstrated high sensitivity for COVID-19 pneumonia, prompting consideration as a first-line screening tool.
  • Advancements in laboratory testing and risks to healthcare providers have led to re-evaluation of imaging's diagnostic role.

Purpose of the Study:

  • To review current evidence on thoracic imaging modalities for COVID-19 diagnosis.
  • To present an algorithm for optimal utilization of imaging resources.
  • To align with guidelines from major imaging societies.

Main Methods:

  • Review of current scientific literature on thoracic imaging for COVID-19.
  • Analysis of consensus statements and guidelines from major imaging societies.
  • Development of a diagnostic algorithm for COVID-19 imaging.

Main Results:

  • Chest imaging, especially CT, shows high sensitivity for detecting COVID-19 pneumonia.
  • The role of imaging is debated due to evolving laboratory tests and infection control concerns.
  • Imaging societies have issued guidelines for resource utilization and reporting.

Conclusions:

  • An evidence-based algorithm can optimize the use of thoracic imaging in COVID-19 diagnosis.
  • Integrating imaging with laboratory testing ensures efficient and safe patient care.
  • Guidelines support judicious use of imaging resources during the pandemic.