liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
How to measure renal artery stenosis - a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Region Östergötland, Heart and Medicine Center, Department of Rheumatology. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0002.3555-7162
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9446-6981
Show others and affiliations
2015 (English)In: BMC Medical Imaging, ISSN 1471-2342, E-ISSN 1471-2342, Vol. 15, no 42Article in journal (Refereed) Published
Abstract [en]

Background: Although it is well known that renal artery stenosis may cause renovascular hypertension, it is unclear how the degree of stenosis should best be measured in morphological images. The aim of this study was to determine which morphological measures from Computed Tomography Angiography (CTA) and Magnetic Resonance Angiography (MRA) are best in predicting whether a renal artery stenosis is hemodynamically significant or not. Methods: Forty-seven patients with hypertension and a clinical suspicion of renovascular hypertension were examined with CTA, MRA, captopril-enhanced renography (CER) and captopril test (Ctest). CTA and MRA images of the renal arteries were analyzed by two readers using interactive vessel segmentation software. The measures included minimum diameter, minimum area, diameter reduction and area reduction. In addition, two radiologists visually judged the diameter reduction without automated segmentation. The results were then compared using limits of agreement and intra-class correlation, and correlated with the results from CER combined with Ctest (which were used as standard of reference) using receiver operating characteristics (ROC) analysis. Results: A total of 68 kidneys had all three investigations (CTA, MRA and CER + Ctest), where 11 kidneys (16.2 %) got a positive result on the CER + Ctest. The greatest area under ROC curve (AUROC) was found for the area reduction on MRA, with a value of 0.91 (95 % confidence interval 0.82-0.99), excluding accessory renal arteries. As comparison, the AUROC for the radiologists visual assessments on CTA and MRA were 0.90 (0.82-0.98) and 0.91 (0.83-0.99) respectively. None of the differences were statistically significant. Conclusions: No significant differences were found between the morphological measures in their ability to predict hemodynamically significant stenosis, but a tendency of MRA having higher AUROC than CTA. There was no significant difference between measurements made by the radiologists and measurements made with fuzzy connectedness segmentation. Further studies are required to definitely identify the optimal measurement approach.

Place, publisher, year, edition, pages
BIOMED CENTRAL LTD , 2015. Vol. 15, no 42
Keywords [en]
Renal artery stenosis; Computed tomography angiography; Magnetic resonance angiography; Renography; Fuzzy connectedness segmentation; Vessel diameter; Cross-sectional area
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-122418DOI: 10.1186/s12880-015-0086-8ISI: 000362535400001PubMedID: 26459634OAI: oai:DiVA.org:liu-122418DiVA, id: diva2:866313
Note

Funding Agencies|Research Council of South-Eastern Sweden (FORSS); Swedish Research Council (VR)

Available from: 2015-11-02 Created: 2015-11-02 Last updated: 2019-02-05

Open Access in DiVA

fulltext(1093 kB)316 downloads
File information
File name FULLTEXT01.pdfFile size 1093 kBChecksum SHA-512
aff6e35717e50ed52a8ce7959d742e56a1c7d3f3137d3211c4a5beb180c3964d6e5bf7ad7983e28f5a5c5df7fe77d176e9003a8fc98ebb88634413b31f719aea
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records

Eriksson, PerPersson, AndersGranerus, GöranWang, ChunliangSmedby, Örjan

Search in DiVA

By author/editor
Eriksson, PerPersson, AndersGranerus, GöranWang, ChunliangSmedby, Örjan
By organisation
Division of Radiological SciencesCenter for Medical Image Science and Visualization (CMIV)Faculty of Medicine and Health SciencesDivision of Neuro and Inflammation ScienceDepartment of RheumatologyDepartment of Radiology in LinköpingDivision of Cardiovascular MedicineDepartment of Clinical Physiology in Linköping
In the same journal
BMC Medical Imaging
Clinical Medicine

Search outside of DiVA

GoogleGoogle Scholar
Total: 316 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 1043 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf