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

Imaging Studies III: Computed Tomography01:27

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...
Computed Tomography01:10

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...

You might also read

Related Articles

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

Sort by
Same author

A taphonomic reassessment of Qafzeh 25 and its implications for violence, health and funerary practices.

Scientific reports·2026
Same author

Psychosocial stress and chronic pain: A threshold model of biological lock-in.

Neuroscience and biobehavioral reviews·2026
Same author

Psychosocial stress and chronic pain: A threshold model of biological lock-in.

Neuroscience and biobehavioral reviews·2026
Same author

Reconstructing Lifeways and Social Differentiation in the Pre-Pottery Neolithic B Population of Nahal Yarmuth 38, Central Israel.

American journal of biological anthropology·2026
Same author

Injury screening for young competitive female gymnasts: A 2-year follow-up.

PM & R : the journal of injury, function, and rehabilitation·2026
Same author

Disorganised Achilles tendon structure, chronic ankle instability and reduced neuromuscular abilities in infantry training.

BMJ military health·2026
Same journal

Ontogenetic skull variation in a round-headed Trogonophidae amphisbaenian species with inferences on bite force.

Anatomical record (Hoboken, N.J. : 2007)·2026
Same journal

Caught between dimensions: 2D versus 3D geometric morphometrics in biodiversity assessment.

Anatomical record (Hoboken, N.J. : 2007)·2026
Same journal

Integrated microanatomy and microstructure of the maxillary tooth plate reveal a reinforced feeding system and tougher diet in Late Triassic Hyperodapedontinae (Rhynchosauria, Archosauromorpha).

Anatomical record (Hoboken, N.J. : 2007)·2026
Same journal

The pelvis doesn't walk by itself: Wider pelves reduce the cost of walking over unstable surfaces.

Anatomical record (Hoboken, N.J. : 2007)·2026
Same journal

The dorsal root ganglion of the American alligator (Alligator mississippiensis).

Anatomical record (Hoboken, N.J. : 2007)·2026
Same journal

Historical birth records from 1896 to 1944 from the Basel maternity hospital, Switzerland, reveal significant obstetric selection pressures.

Anatomical record (Hoboken, N.J. : 2007)·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
08:03

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

Published on: November 4, 2025

Identifying and classifying hyperostosis frontalis interna via computerized tomography.

Hila May1, Nathan Peled, Gali Dar

  • 1Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.

Anatomical Record (Hoboken, N.J. : 2007)
|November 4, 2010
PubMed
Summary
This summary is machine-generated.

This study developed a reliable and valid method for identifying and classifying hyperostosis frontalis interna (HFI) using CT scans. The findings support CT volume rendering as a suitable tool for radiological diagnosis of HFI.

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 Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
10:42

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

Published on: January 28, 2020

Related Experiment Videos

Last Updated: Jun 7, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
08:03

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
05:49

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

Published on: February 23, 2024

A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
10:42

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

Published on: January 28, 2020

Area of Science:

  • Radiology
  • Anatomy

Background:

  • Hyperostosis frontalis interna (HFI) is a condition with increasing recognition as a potential indicator of underlying health issues.
  • Accurate radiological identification and classification of HFI are crucial for clinical assessment.

Purpose of the Study:

  • To establish a valid and reliable method for identifying and classifying hyperostosis frontalis interna (HFI) using radiological imaging.
  • To evaluate the diagnostic performance of a proposed three-scale classification system for HFI.

Main Methods:

  • A reliability study involving 27 head CT scans assessed intra- and inter-observer agreement for HFI ranking.
  • A validity study compared CT scan findings with direct observation on 46 cadaver skullcaps.
  • Statistical analysis utilized the Kappa test to determine reliability and validity.

Main Results:

  • CT-based HFI ranking demonstrated good reliability (Kappa > 0.7).
  • High consensus (Kappa = 0.82) was achieved between CT and direct observation for moderate to advanced HFI.
  • The proposed CT classification method showed high sensitivity (84%), specificity (90.5%), and positive predictive value (91.3%).

Conclusions:

  • CT volume rendering is a reliable and valid tool for HFI identification.
  • The proposed three-scale classification system is effective for radiological diagnosis of HFI.
  • This method can aid radiologists in the accurate assessment of HFI and its potential clinical implications.