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

Ultrasonography01:17

Ultrasonography

4.3K
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...
4.3K
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

3
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...
3

You might also read

Related Articles

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

Sort by
Same author

Iodine deficiency among thyroid conference participants in Austria.

Wiener klinische Wochenschrift·2026
Same author

Comparison of <sup>68</sup>Ga-FAPI and <sup>18</sup>F-DOPA PET/CT in patients with medullary thyroid cancer.

Frontiers in endocrinology·2026
Same author

Assessment of active fibrotic remodeling in patients with idiopathic pulmonary fibrosis (IPF)/progressive pulmonary fibrosis (PPF) using dual-time-point [<sup>68</sup>Ga]Ga-FAPI-46-PET/CT.

European journal of radiology·2026
Same author

Low Radioactivity Levels in Blood Samples After Targeted Radionuclide Therapy: Minimal Radiation Exposure of Healthcare Staff.

Biomedicines·2026
Same author

Quantification of Isoflurane Uptake for Immobilization of Ostrich Embryos for Preclinical In Ovo Imaging.

Life (Basel, Switzerland)·2026
Same author

Transarterial Radioembolization: Medical Staff Dosimetry for <sup>90</sup>Y-Resin, <sup>90</sup>Y-Glass, and <sup>166</sup>Ho-PLLA Microspheres.

Radiology·2026

Related Experiment Video

Updated: Jun 10, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
05:41

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

543

Interobserver Agreement in Ultrasound Risk Stratification Systems for Thyroid Nodules on Static Images Versus

Simone Agnes Schenke1,2, Manuela Petersen3, Rainer Görges4,5

  • 1Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, 39120 Magdeburg, Germany.

Diagnostics (Basel, Switzerland)
|October 16, 2024
PubMed
Summary

Static ultrasound images showed better interobserver agreement (IOA) for thyroid nodule risk stratification systems (RSSs) than video sequences (cine-loops). However, observer experience with RSSs significantly reduced this difference, highlighting the importance of expertise in thyroid nodule assessment.

Keywords:
Thyroid Imaging Reporting and Data Systems (TIRADS)cine-loopinterobserver agreementthyroid noduleultrasound

More Related Videos

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.8K
Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
14:13

Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing

Published on: May 6, 2014

18.2K

Related Experiment Videos

Last Updated: Jun 10, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
05:41

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

543
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

1.8K
Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
14:13

Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing

Published on: May 6, 2014

18.2K

Area of Science:

  • Radiology and Imaging
  • Medical Diagnostics
  • Ultrasound Technology

Background:

  • Thyroid nodules (TNs) require accurate risk stratification for appropriate management.
  • Risk stratification systems (RSSs) are used to categorize TNs based on ultrasound (US) features.
  • Interobserver agreement (IOA) is crucial for the reliability of RSSs in TN assessment.

Purpose of the Study:

  • To compare the impact of static ultrasound images versus video sequences (cine-loops) on IOA for TN risk stratification.
  • To evaluate how different RSSs perform with static images and cine-loops.
  • To identify factors influencing IOA in TN assessment using US.

Main Methods:

  • Twenty TNs were evaluated by twelve experienced observers using five different RSSs (Kwak-, ACR-, EU-, Korean-TIRADS, ATA Guidelines).
  • Observers initially assessed static US images and then, six months later, reevaluated the same cases using cine-loops.
  • Fleiss' kappa (κ) was calculated to measure IOA for both static and cine-loop assessments.

Main Results:

  • Overall IOA was superior for static images (κ values ranging from 0.38-0.46) compared to cine-loops (κ values ranging from 0.34-0.41).
  • The difference in IOA between static and cine-loops was statistically significant (p = 0.024).
  • Observer experience with RSSs significantly influenced IOA, diminishing the advantage of static images.

Conclusions:

  • Static US images provide superior IOA for TN risk stratification compared to cine-loops across multiple RSSs.
  • The benefit of static images over cine-loops is less pronounced in highly experienced observers.
  • Standardizing US features and enhancing observer training are key for improving IOA in TN assessment.