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

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...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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...
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...

You might also read

Related Articles

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

Sort by
Same author

Standardizing Global Pediatric Stroke Pathways: Insights From a Global Survey Conducted by the Society of Neurointerventional Surgery Pediatric Special Interest Group.

Stroke (Hoboken, N.J.)·2026
Same authorSame journal

Defining Social and Cultural Barriers to Global Stroke Care: A SVIN-Mission Thrombectomy Initiative.

Stroke (Hoboken, N.J.)·2026
Same author

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

AJNR. American journal of neuroradiology·2026
Same author

Stent retriever-assisted intra-arterial lysis for distal vessel occlusions: a feasible pharmacomechanical rescue strategy.

Journal of neurointerventional surgery·2026
Same author

Early Cerebral Edema Subtypes and Functional Outcome in Patients With Cerebral Venous Thrombosis: Insights From the CLOT-VENUS Registry.

Neurology·2026
Same author

Interaction of Intraprocedural Antiplatelets and Intravenous Thrombolysis in Acute Intracranial Stenting: RESISTANT Registry Subanalysis.

Annals of clinical and translational neurology·2026
Same journal

Turnover Time in Neuroangiography Suites: Comparison Between Cases Performed at an Ambulatory Neurosurgery Center Versus a Tertiary Hospital.

Stroke (Hoboken, N.J.)·2026
Same journal

The "Ticking Time Bomb" Within.

Stroke (Hoboken, N.J.)·2026
Same journal

Sex Differences in the Protective Effect of Brain Volume: Age Attenuates Protection in Women.

Stroke (Hoboken, N.J.)·2026
Same journal

Full Visualization of Contact Endoscopy for Basal Ganglia Hemorrhage: A Multicenter Retrospective Study Comparing With Microscopy and Neuroendoscopy.

Stroke (Hoboken, N.J.)·2026
Same journal

Final Infarct Volume as a Surrogate End Point in Anterior Circulation ICAS-LVO Stroke: Post Hoc Secondary Analysis of RESCUE-ICAS.

Stroke (Hoboken, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Jul 7, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Initial Experience With a Deep Learning Algorithm for Detecting Posterior Circulation Large Vessel Occlusion on

Anderson Brito1, Judith Cendrero2, Leonardo Tanzi2

  • 1Department of Neurology (A.B., L.C.-C., N.A., E.K., W.D.H., J. Cespedes, S.O.-G.), University of Iowa Health Care, Iowa City.

Stroke (Hoboken, N.J.)
|July 6, 2026
PubMed
Summary
This summary is machine-generated.

A deep learning algorithm shows potential for detecting posterior circulation large vessel occlusions (PC-LVO). While promising, further improvements are needed for clinical use in PC-LVO diagnosis.

Keywords:
braincomputed tomographydeep learningischemic strokestroke

Related Experiment Videos

Last Updated: Jul 7, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

  • Neurology
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Deep learning (DL) shows promise for anterior circulation large vessel occlusions (LVOs).
  • The efficacy of DL algorithms for posterior circulation large vessel occlusion (PC-LVO) detection is uncertain.
  • This study evaluates a DL algorithm for PC-LVO detection using noncontrast computed tomography (NCCT).

Purpose of the Study:

  • To assess the diagnostic performance of the Methinks PC-LVO deep learning algorithm.
  • To compare the DL algorithm's performance against a neuroradiologist for PC-LVO detection.
  • To analyze DL algorithm performance based on clot location and stroke severity.

Main Methods:

  • Retrospective, multicenter, observational cohort study.
  • Inclusion of 196 patients with PC-LVO who underwent NCCT and CT angiography.
  • Assessment of DL algorithm sensitivity, specificity, and area under the curve (AUC), with subgroup analyses.

Main Results:

  • The DL algorithm achieved an overall sensitivity of 55.4% and specificity of 80.9% (AUC 0.72).
  • A neuroradiologist achieved 27.4% sensitivity and 91.8% specificity.
  • Sensitivity varied by clot location and National Institutes of Health Stroke Scale (NIHSS) score, with higher scores showing improved sensitivity.

Conclusions:

  • The DL algorithm demonstrates promising initial results for PC-LVO detection.
  • Further algorithm refinement is necessary for clinical implementation.
  • The study highlights the potential of AI in diagnosing posterior circulation strokes.