Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

The Use of Intravenous Infliximab to Treat Cancer Related Fistulae: A Case Report in Home-Based Palliative Care Improving Quality of Life and Closure.

Journal of pain & palliative care pharmacotherapy·2025

Same author

Surgical and non-surgical debridement for the treatment of peri-implantitis: a two-center 12-month randomized trial.

Clinical oral investigations·2021

Same author

Osler-Weber-Rendu Syndrome with Severe Hepatic Manifestations: A Rare Clinical Case.

European journal of case reports in internal medicine·2020

Same author

Body-Packing: A Rare Diagnosis to Keep in Mind.

European journal of case reports in internal medicine·2020

Same author

When radiology determines the success of removal of a retained epidural catheter: A case report.

Saudi journal of anaesthesia·2020

Same author

<i>In vivo</i> biodistribution of venlafaxine-PLGA nanoparticles for brain delivery: plain vs. functionalized nanoparticles.

Expert opinion on drug delivery·2019

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

Evaluation of the radiographic cephalometry learning process by a learning virtual object.

Heraldo Luis Dias Silveira¹, Maria João Gomes, Heloísa Emilia Dias Silveira

¹Department of Surgery and Orthopedics, School of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil. heraldods@ig.com.br

American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics

|July 7, 2009

Summary

A learning virtual object (LVO) improved radiographic cephalometry landmarking performance over time. This tool enhances learning efficiency and student satisfaction in cephalometric education.

More Related Videos

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

Related Experiment Videos

Last Updated: Jun 21, 2026

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible

Published on: January 28, 2020

Area of Science:

Dentistry
Medical Education
Radiology

Background:

Radiographic cephalometry presents challenges in landmark identification reproducibility.
Conventional teaching methods may not fully address these learning difficulties.

Purpose of the Study:

To evaluate a learning virtual object (LVO) for teaching radiographic cephalometry.
To determine if the LVO enhances landmark identification performance.

Main Methods:

40 undergraduates were split into conventional teaching (Group A) and LVO (Group B) groups.
Learning was assessed via cephalometry knowledge tests and landmark identification accuracy.
Statistical analysis used the Student t test; LVO usability was rated.

Main Results:

No immediate posttest differences were found between groups.
Group A scores declined significantly by the second posttest (15 days later).
Group B demonstrated sustained performance and high LVO usability ratings (82.45%).

Conclusions:

The LVO is a useful and efficient tool for learning radiographic cephalometry.
Virtual learning objects can potentially improve long-term retention and performance in this field.