Skip to search boxSkip to navigationSkip to main content

Renal relevant radiology: Radiologic imaging in autosomal dominant polycystic kidney disease

  • Frederic Rahbari-Oskoui
    ,
  • Ankush Mittal
    ,
  • ,
  • Arlene Chapman(corresponding author)
*Corresponding author for this work
  • Emory University
Scholary Output:
Contribution to journal
Article
Research
Peer-review

Open access

Abstract

Autosomal-dominant polycystic kidney disease is a systemic disorder and the most common hereditary renal disease, which is characterized by cyst growth, progressive renal enlargement, and development of renal failure. The cystic nature of autosomal dominant polycystic kidney disease and its renal and extrarenal complications (kidney stones, cyst hemorrhage, intracerebral aneurysm, liver cysts, cardiac valve abnormalities, etc.) give radiologic imaging studies a central role in the management of these patients. This article reviews the indications, comparative use, and limitation of various imaging modalities (ultrasonography, magnetic resonance imaging, computerized tomography scan, Positron emission tomography scan, and renal scintigraphy) for the diagnosis and management of complications in autosomal dominant polycystic kidney disease. Finally, this work provides evidence for the value of total kidney volume to predict disease progression in autosomal dominant polycystic kidney disease.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Research
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 406-415 (10 pages)

Journal (Volume, Issue Number)

Clinical Journal of the American Society of Nephrology (Volume 9, Issue 2)

Publication milestones

  • Published - 2014

Publication status

Published - 2014

ISSN

1555-9041

Publication IDs

  • Scopus: 84893547176
  • PubMed: 24370765

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
SciVal
citations
28
SciVal
FWCI
1.61
SciVal
Author count
4
SciVal
Paper percentile
87

PlumX, opens in new tab

Captures
107
Citation count
61
Mentions
1
Social media
13