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 Experiment Video

Updated: May 30, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Optimal presentation modes for detecting brain tumor progression.

B J Erickson1, C P Wood, T J Kaufmann

  • 1Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA. bje@mayo.edu

AJNR. American Journal of Neuroradiology
|August 20, 2011
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

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

Sort by
Same author

Generative Adversarial Networks for Brain MRI Synthesis: Impact of Training Set Size on Clinical Application.

Journal of imaging informatics in medicine·2024
Same author

Hypothalamic Pilomyxoid Astrocytoma in a Child with Lipodystrophy.

AJNR. American journal of neuroradiology·2021
Same author

The Updated Neuroradiology Milestones: Synapsing from 1.0 to 2.0.

AJNR. American journal of neuroradiology·2021
Same author

Does having a rotator cuff repair prior to reverse total shoulder arthroplasty influence the outcome?

The bone & joint journal·2019
Same author

Parapharyngeal Space Venous Malformation: An Imaging Mimic of Pleomorphic Adenoma.

AJNR. American journal of neuroradiology·2018
Same author

Basal Ganglia T1 Hyperintensity in Hereditary Hemorrhagic Telangiectasia.

AJNR. American journal of neuroradiology·2017
Same journal

Neuroradiology Leads NIH Funding Among Clinician Diagnostic Radiologists: A 14-Year National Analysis.

AJNR. American journal of neuroradiology·2026
Same journal

Neutral Cervical Spine MRI is Not Enough: The Critical Role of Flexion Imaging in Hirayama disease in Pediatric Patients.

AJNR. American journal of neuroradiology·2026
Same journal

CT Evaluation of Osseous Trauma at the Craniocervical Junction: A Pattern-Based Overview.

AJNR. American journal of neuroradiology·2026
Same journal

Comprehensive Structural MRI Phenotyping in <i>Oligophrenin 1-</i>Related Disorder Reveals Characteristic Brain Malformations.

AJNR. American journal of neuroradiology·2026
Same journal

ASNR-ESNR White Paper on Sustainability in Neuroradiology.

AJNR. American journal of neuroradiology·2026
Same journal

Intracranial Atherosclerotic Disease Distribution Across Circle of Willis Segments: Insights from CREST-H.

AJNR. American journal of neuroradiology·2026
See all related articles

Advanced imaging techniques like automated change detection and image subtraction significantly improve the detection of primary brain tumors on MR imaging compared to traditional side-by-side comparisons.

Area of Science:

  • Radiology
  • Medical Imaging
  • Neuro-oncology

Background:

  • Visual comparison of medical images is crucial in radiology.
  • Detecting primary brain tumors on MR imaging requires effective image presentation methods.

Purpose of the Study:

  • To compare traditional side-by-side and in-place (flicker) image presentation modes with advanced methods.
  • To evaluate the efficacy of different display modes for detecting primary brain tumors on MR imaging.

Main Methods:

  • 3 board-certified neuroradiologists reviewed 66 patient MR imaging triplets.
  • Images were presented using side-by-side, subtraction, and automated change detection modes, with and without flicker.
  • Interrater agreement and sensitivity to tumor progression were assessed.

Related Experiment Videos

Last Updated: May 30, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Main Results:

  • Automated change detection and subtraction were more sensitive to tumor progression than side-by-side presentation (P < .0027).
  • Change detection showed the highest interrater agreement, followed by subtraction.
  • Time to progression was longer for cases rated as nonprogressing by advanced methods.

Conclusions:

  • Automated change detection and image subtraction are superior to side-by-side comparison for detecting primary brain tumors.
  • Flicker display mode did not significantly alter the superiority of advanced methods.