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

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 the...
Radiation: Applications01:17

Radiation: Applications

The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

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...
X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

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...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by
Same author

Multinomial Classification Certainty: a new uncertainty metric for multinomial outcome prediction.

Progress in artificial intelligence·2026
Same author

The Effect of Mobile Health Intervention on Prelacteal Feeding Among Mothers in the First Month After Birth in South Ethiopia: A Cluster-Randomized Controlled Trial.

Nutrients·2026
Same author

Risk Factors for Developing Venous Thromboembolism in Patients With Advanced ALK-Rearranged NSCLC.

JTO clinical and research reports·2026
Same author

Secondary Analysis of the CAN-Study, a Randomised Controlled Trial - Local Anaesthesia and Overall Survival.

Acta anaesthesiologica Scandinavica·2026
Same author

Vamorolone for Duchenne Muscular Dystrophy: A Cross-Trial Efficacy Comparison With Classic Corticosteroids From the FOR-DMD Trial.

Neurology·2026
Same author

Uncovering Topics in Dutch Patient Messages in Inflammatory Bowel Disease: A Comparative Study of Embedding Models for Neural Topic Modeling.

Studies in health technology and informatics·2026
Same journal

Systematic comparison of MPRAGE and BRAVO T1-weighted MRI pulse sequences and brain morphometry in high-risk young adults.

Magnetic resonance imaging·2026
Same journal

Foot dynamic contrast-enhanced MRI for assessing microcirculatory changes after endovascular therapy in peripheral artery disease: A prospective pilot study.

Magnetic resonance imaging·2026
Same journal

Reconstruction of MRI from undersampled k-spaces of double-contrast volume acquisitions using deep neural networks.

Magnetic resonance imaging·2026
Same journal

Radiofrequency-induced heating safety of brain MRI scans at 7 T in the presence of a shoulder implant.

Magnetic resonance imaging·2026
Same journal

Incremental diagnostic value of microstructural time-dependent diffusion MRI in differentiating PCNSL from glioblastoma over conventional MRI.

Magnetic resonance imaging·2026
Same journal

Enhanced respiratory motion compensation in free-breathing dynamic contrast-enhanced MRI with GROG-facilitated bunch phase encoding and Golden angle radial sampling.

Magnetic resonance imaging·2026
See all related articles

Related Experiment Video

Updated: May 19, 2026

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

Radiomics: the process and the challenges.

Virendra Kumar1, Yuhua Gu, Satrajit Basu

  • 1Department of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

Magnetic Resonance Imaging
|August 18, 2012
PubMed
Summary
This summary is machine-generated.

Radiomics extracts quantitative imaging features from medical scans to build predictive models. This approach, focusing on non-small cell lung cancer, aims to enhance diagnostic and prognostic information.

More Related Videos

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Related Experiment Videos

Last Updated: May 19, 2026

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

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Area of Science:

  • Radiology and Medical Imaging
  • Bioinformatics
  • Computational Pathology

Background:

  • Radiomics involves high-throughput extraction of quantitative imaging features from medical scans (CT, PET, MRI).
  • These features are derived from standard-of-care images, enabling large-scale subject pool analysis.
  • Radiomics data can be mined to develop models linking imaging features to phenotypes or molecular signatures.

Purpose of the Study:

  • To explore the radiomics enterprise, detailing its distinct processes and associated challenges.
  • To discuss proposed approaches for overcoming challenges in radiomics.
  • To focus the discussion on the application of radiomics to non-small cell lung cancer (NSCLC) imaging.

Main Methods:

  • Image acquisition and reconstruction optimization and harmonization.
  • Development of robust image segmentation with minimal operator input.
  • Feature extraction, qualification, and generation of non-redundant, complexity-reflecting features.
  • Creation of informatics databases integrating image features, annotations, and clinical/genetic data.
  • Optimization of statistical approaches for analyzing radiomics data.

Main Results:

  • Radiomics offers a framework for extracting valuable diagnostic, prognostic, and predictive information from medical images.
  • Each stage of the radiomics process (acquisition, segmentation, feature extraction, data sharing, analysis) presents unique challenges.
  • Harmonization of imaging protocols, robust segmentation, and optimized feature selection are critical for reliable radiomics models.

Conclusions:

  • Radiomics holds significant potential for improving cancer diagnosis and prognosis by leveraging quantitative imaging data.
  • Addressing the technical and analytical challenges is crucial for the advancement and clinical adoption of radiomics.
  • Further research and development in radiomics, particularly for non-small cell lung cancer, are warranted to fully realize its potential.