Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

738
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...
738
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

253
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
253
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

356
The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
356
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

313
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
313
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

2.8K
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
2.8K
Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care01:29

Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care

109
Diagnosing Pulmonary EmbolismDiagnosing pulmonary embolism (PE) involves clinical assessment and advanced imaging tests. The preferred diagnostic tool is the spiral (helical) CT scan or CT angiography (CTA), which uses intravenous contrast media to visualize the pulmonary vasculature and identify emboli.A ventilation-perfusion (V/Q) scan is an alternative for patients unable to receive contrast media. This scan includes both perfusion and ventilation scanning. Perfusion scanning involves...
109

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AFMap-UNet enables accurate nuclear segmentation of atomic force microscopy images with minimal training data.

Scientific reports·2026
Same author

The global landscape of SCD and approach to case work-up in Latin America: a LAHRS and SOBRAC survey.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
Same author

Ancestry-informative regulatory variants at KCNB1 modulate adipogenesis and body mass index.

Frontiers in endocrinology·2026
Same author

Danon Disease: Understanding the Role of LAMP2 Variants in Cardiomyopathy and Multisystemic Involvement.

Arquivos brasileiros de cardiologia·2026
Same author

A deep learning ECG model for identification and localization of occlusion myocardial infarction.

Nature communications·2026
Same author

Discovery of gene-alcohol interaction loci influencing blood pressure in 1.1 million individuals from multiple populations.

Research square·2026

Related Experiment Video

Updated: Nov 16, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.5K

Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.

José Raniery Ferreira Junior1, Diego Armando Cardona Cardenas2, Ramon Alfredo Moreno2

  • 1Heart Institute, Clinics Hospital, University of Sao Paulo Medical School, Av. Dr. Enéas Carvalho de Aguiar 44, 05403000, São Paulo, Brazil. jose.raniery@incor.usp.br.

Journal of Digital Imaging
|February 19, 2021
PubMed
Summary

Radiomic biomarkers identified from chest X-rays show potential in diagnosing COVID-19 pneumonia and predicting patient survival. These quantitative imaging features aid in distinguishing COVID-19 from other respiratory infections.

Keywords:
COVID-19Chest radiographyCoronavirusMedical image analysisRadiomics

More Related Videos

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.5K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

844

Related Experiment Videos

Last Updated: Nov 16, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.5K
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.5K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

844

Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • COVID-19 causes severe pneumonia with radiographic features overlapping other acute respiratory syndromes, complicating diagnosis via chest X-ray (XR).
  • Quantitative imaging biomarkers are needed to support XR-based assessment of acute respiratory diseases, particularly COVID-19.
  • Radiomics offers a method to extract quantitative features from medical images for diagnostic and prognostic purposes.

Purpose of the Study:

  • To identify quantitative/radiomic biomarkers for COVID-19 to support XR assessment of acute respiratory diseases.
  • To evaluate the diagnostic performance of radiomic features in distinguishing COVID-19 from other pneumonias.
  • To assess the prognostic value of radiomic features for predicting patient survival and disease deterioration.

Main Methods:

  • A retrospective study involving 227 pneumonia patients (49 with COVID-19) was conducted.
  • 558 quantitative radiomic features were extracted from automatically segmented chest X-rays, including histogram, co-occurrence, run-length, size zone, dependence, and gray-tone difference matrices.
  • Features were analyzed using Mann-Whitney U tests for diagnostic performance and log-rank tests for prognostic value (overall and deterioration-free survival).

Main Results:

  • 51 independently validated radiomic features were associated with COVID-19, predominantly wavelet-transformed features.
  • A small dependence matrix feature ('low gray-level emphasis') achieved the highest diagnostic performance (AUC 0.87, sensitivity 0.85).
  • Six features showed short-term prognostic value; histogram 'mean absolute deviation' and size zone matrix 'non-uniformity' significantly impacted survival curves (HR 3.20).

Conclusions:

  • Radiomic markers demonstrate potential as quantitative measures correlated with the causative agent of acute infectious diseases.
  • These biomarkers can aid in stratifying the short-term risk of COVID-19 patients.
  • Radiomics can enhance the diagnostic accuracy and prognostic assessment of COVID-19 pneumonia using chest X-rays.