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

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...
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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...
Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
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...

You might also read

Related Articles

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

Sort by
Same author

Impact of conventional and non-conventional processing technologies on phenolic compounds and polysaccharides in strawberry nectar: A comparative study of stability.

Food chemistry·2026
Same author

Characterisation of phenolic compounds and polysaccharides in strawberry: Cultivar and harvest effects and their correlation with nectar colour stability.

Food chemistry·2025
Same author

Mapping palliative and end of care research in Australia (2000-2018).

Palliative & supportive care·2020
Same author

Remifentanil patient-controlled intravenous analgesia during labour: a retrospective observational study of 10 years' experience.

International journal of obstetric anesthesia·2019
Same author

Process evaluation of a cluster-randomised controlled trial of multi-component weight management programme in adults with intellectual disabilities and obesity.

Journal of intellectual disability research : JIDR·2018
Same author

Trajectories of femorotibial cartilage thickness among persons with or at risk of knee osteoarthritis: development of a prediction model to identify progressors.

Osteoarthritis and cartilage·2018

Related Experiment Video

Updated: May 9, 2026

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

Interrater variation in scoring radiological discrepancies.

B Mucci1, H Murray, A Downie

  • 1Department of Radiology, South Glasgow University Hospitals, Southern General Hospital, Glasgow, Scotland, UK. Brian.Mucci@ggc.scot.nhs.uk

The British Journal of Radiology
|July 9, 2013
PubMed
Summary
This summary is machine-generated.

Radiologists show poor agreement when scoring discrepancies, with a mean Fleiss' kappa of 0.17. This suggests issues with the scoring system or the need for enhanced radiologist training in discrepancy evaluation.

More Related Videos

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

Related Experiment Videos

Last Updated: May 9, 2026

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

Area of Science:

  • Medical Imaging
  • Radiology
  • Clinical Governance

Background:

  • Discrepancy meetings are crucial for clinical governance in radiology.
  • The Royal College of Radiologists recommends a scoring scale (0-3) for discrepancies.
  • Observed variations in radiologist scoring prompted this investigation.

Purpose of the Study:

  • To quantify the variation in scoring among radiologists during discrepancy meetings.
  • To assess the interrater reliability of the current radiology discrepancy scoring system.

Main Methods:

  • Collected scores from six discrepancy meetings, totaling 161 scored events.
  • Employed Fleiss' kappa statistic to measure interrater agreement.
  • Included only cases rated by all participating radiologists.

Main Results:

  • The number of cases per meeting ranged from 18 to 31 (mean 27).
  • The number of raters per meeting ranged from 11 to 16 (mean 14).
  • Fleiss' kappa values ranged from 0.12 to 0.20, with a mean of 0.17, indicating poor agreement.

Conclusions:

  • The study found poor interrater agreement among radiologists in scoring discrepancies (mean kappa 0.17).
  • This low agreement suggests potential issues with the scoring system or a need for standardized training.
  • Radiology discrepancy scoring is highly subjective, highlighting the need for improved consistency.