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 Videos

MR imaging in Drash syndrome.

M I Boechat1, H Kangarloo

  • 1Department of Radiological Sciences, University of California, Los Angeles School of Medicine, CA 90024.

Journal of Computer Assisted Tomography
|May 1, 1988
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

A customizable MR brain imaging atlas of structure and function for decision support.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2004
Same author

Structure localization in brain images: application to relevant image selection.

Proceedings. AMIA Symposium·2002
Same author

Disease specific intelligent pre-fetch and hanging protocol for diagnostic neuroradiology workstations.

Proceedings. AMIA Symposium·2002
Same author

Skeletal age determinations in children of European and African descent: applicability of the Greulich and Pyle standards.

Pediatric research·2001
Same author

Chronic radiographic lung changes in children with vertically transmitted HIV-1 infection.

AJR. American journal of roentgenology·2001
Same author

Image content extraction: application to MR images of the brain.

Radiographics : a review publication of the Radiological Society of North America, Inc·2001
Same journal

Low-Field Neuroimaging: Opportunities and Limitations.

Journal of computer assisted tomography·2026
Same journal

Diagnostic Performance of Routine Abdominal MRI for Detecting Left Ventricular Hypertrophy in ADPKD.

Journal of computer assisted tomography·2026
Same journal

Evaluation of Gd-EOB-DTPA MRI With Diffusion and Clinicopathologic Features for Predicting Microvascular Invasion in Hepatocellular Carcinoma.

Journal of computer assisted tomography·2026
Same journal

Artificial Intelligence for Opportunistic Screening for Osteoporosis and Spine Fractures Using Computed Tomography: A Systematic Review and Meta-Analysis.

Journal of computer assisted tomography·2026
Same journal

Accuracy and Variability of Spatial Localization of Infarct Core Predicted by CT Perfusion.

Journal of computer assisted tomography·2026
Same journal

Acute Biliary Disorders and Complications.

Journal of computer assisted tomography·2026
See all related articles

Drash syndrome, a disorder affecting genitourinary development, can be evaluated using magnetic resonance imaging (MRI). MRI aids in diagnosing kidney abnormalities and Wilms tumors, though small nephroblastomas may be missed.

Area of Science:

  • Medical Imaging
  • Pediatric Nephrology
  • Genitourinary Development

Background:

  • Drash syndrome is a rare disorder characterized by genitourinary abnormalities, nephropathy, and Wilms tumor predisposition.
  • Accurate diagnosis is crucial for managing patients with Drash syndrome.

Observation:

  • Magnetic resonance imaging (MRI) was utilized to evaluate three patients diagnosed with Drash syndrome.
  • Imaging findings were correlated with ultrasound, CT, and surgical outcomes.

Findings:

  • MRI identified enlarged kidneys with altered signal intensity in patients with glomerulonephritis.
  • Two large Wilms tumors were detected, but a small 1 cm nephroblastoma was not recognized.
  • Genital anomalies, including absent uterus, were accurately diagnosed.

Related Experiment Videos

Implications:

  • MRI is a valuable tool for assessing the complex manifestations of Drash syndrome.
  • The study highlights the sensitivity of MRI for detecting significant renal and tumor pathology.
  • Limitations in detecting small tumors suggest careful integration of multiple diagnostic modalities.