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

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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

A comparative evaluation of metal sorption across environmentally relevant microplastics: a focus on polyethylene terephthalate.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering·2026

Same author

The Use of 3D-Printed Teeth Models for Crown Preparation Training: Perceptions of Postgraduate Dental Trainees.

European journal of dental education : official journal of the Association for Dental Education in Europe·2026

Same author

Corrigendum to "Physicochemical and mechanical characterisation of orthodontic 3D-printed aligner material made of shape memory polymers (4D aligner material)" [J. Mech. Behav. Biomed. Mater. 150 (2024) 106337].

Journal of the mechanical behavior of biomedical materials·2026

Same author

Accuracy of 3D-printed surgical guides compared with freehand technique for temporary anchorage device placement in the mandibular buccal shelf.

Frontiers in dental medicine·2026

Same author

Effectiveness of Modified Clear Aligner Attachment Designs on Molar Extrusion: An In Vitro Typodont Study.

Dentistry journal·2025

Same author

Preclinical evaluation of 3D-Printed orthodontic aligners using an electro-typodont model.

Frontiers in bioengineering and biotechnology·2025

Search research articles

Related Experiment Video

Updated: May 15, 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

Measurements from conventional, digital and CT-derived cephalograms: a comparative study.

Ahmed Ghoneima¹, Sahar Albarakati, Asli Baysal

¹Department of Orthodontics, Faculty of Dental Medicine, Al-Azhar University, Cairo, Egypt. aghoneim@iupui.edu

Australian Orthodontic Journal

|January 12, 2013

Summary

Computerized tomography (CT) scans for orthodontic cephalograms show statistically significant differences in skeletal and dental measurements compared to conventional and digital methods. These variations, though small on average, can be clinically significant for individual patients.

More Related Videos

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

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

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

Published on: February 23, 2024

Related Experiment Videos

Last Updated: May 15, 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

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model

Published on: November 4, 2025

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

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

Published on: February 23, 2024

Area of Science:

Dentistry
Radiology
Orthodontics

Background:

Lateral cephalograms are crucial for orthodontic diagnosis and treatment planning.
Traditional manual tracing, digital cephalograms, and CT-derived cephalograms are common methods for analysis.
Understanding the reliability and reproducibility of measurements across these methods is essential for clinical application.

Purpose of the Study:

To evaluate the reliability and reproducibility of skeletal and dental measurements from lateral cephalograms.
To compare measurements derived from CT scans with those from conventional and digital cephalograms.

Main Methods:

Retrospective study analyzing lateral cephalograms from 30 patients.
Measurements were performed on conventional, digital, and CT-created cephalograms using Dolphin Imaging software.
Statistical comparison using repeated measures ANOVA, with significance set at p < 0.05.

Main Results:

High intra-rater reliability (r > 0.90) was observed for most measurements across all methods.
Significant differences were found between CT-created and conventional cephalograms for five measurements.
Significant differences were also noted between CT-created and digital cephalograms for three measurements.

Conclusions:

Statistically significant differences exist in cephalometric measurements obtained from manual, digital, and 3D CT-derived analyses.
While average differences are small, individual variations may have considerable clinical significance in orthodontic patient care.
Clinicians should be aware of these discrepancies when interpreting cephalometric data from different imaging modalities.