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

Urinary tract abnormalities: initial experience with multi-detector row CT urography.

Elaine M Caoili1, Richard H Cohan, Melvyn Korobkin

  • 1Department of Radiology, University of Michigan Medical Center, Ann Arbor, MI 48109-9723, USA. caoili@umich.edu

Radiology
|January 31, 2002
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

Histotripsy-Induced Acute Kidney Injury Following Liver Tumor Treatment: A Preliminary Report of 9 Cases.

Journal of vascular and interventional radiology : JVIR·2026
Same author

Bladder cancer segmentation using u-net-based deep-learning.

Scientific reports·2026
Same author

Vascular Injury after Histotripsy: A Case Series of Hemorrhage and Pseudoaneurysm Complications in Human Patients.

Journal of vascular and interventional radiology : JVIR·2026
Same author

Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis.

Scientific reports·2025
Same author

Prevalence of Malignancy Among Incidental Indeterminate Adrenal Nodules on Contrast-Enhanced CT in Patients Without Known Cancer: A Multiinstitutional Study.

AJR. American journal of roentgenology·2025
Same author

Editorial Comment on "National Assessment of Urology Interest Groups: A Cross-sectional Study Analyzing Current Practices and Challenges".

Urology·2025

Multi-detector row computed tomographic (CT) urography effectively detects urinary tract abnormalities. This imaging technique is valuable for diagnosing conditions like uroepithelial malignancies and congenital anomalies.

Area of Science:

  • Radiology
  • Urology
  • Medical Imaging

Background:

  • Urinary tract abnormalities require accurate diagnostic methods.
  • Computed tomographic (CT) urography offers detailed visualization of the urinary system.

Purpose of the Study:

  • To assess the efficacy of multi-detector row CT urography in identifying urinary tract abnormalities.
  • To evaluate the diagnostic performance of CT urography in a suspected cases of urinary tract disease.

Main Methods:

  • Sixty-five patients with suspected urinary tract abnormalities underwent multi-detector row CT urography.
  • The CT urography protocol included multiple imaging phases (unenhanced, nephrographic, compression, excretory).
  • Findings from CT urography were retrospectively compared with urinalysis, cystoscopy, ureteroscopy, and surgical outcomes.

Related Experiment Videos

Main Results:

  • Multi-detector row CT urography successfully identified numerous urinary tract abnormalities, including 15 of 16 uroepithelial malignancies.
  • The technique detected congenital anomalies, urinary tract calculi, and various abnormalities within the calyces, renal pelvis, ureters, and bladder.
  • Incidental extrarenal findings such as liver masses, metastases, and aortic dissection were also observed.

Conclusions:

  • Multi-detector row CT urography is a valuable imaging modality for detecting a wide spectrum of urinary tract abnormalities.
  • The study confirms the utility of CT urography in diagnosing both intrinsic urinary tract pathology and incidentally discovered extrarenal conditions.