liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
How to measure renal artery stenosis - a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Linköpings universitet, Medicinska fakulteten.
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Medicinska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.
Linköpings universitet, Institutionen för klinisk och experimentell medicin, Avdelningen för neuro- och inflammationsvetenskap. Region Östergötland, Hjärt- och Medicincentrum, Reumatologiska kliniken i Östergötland. Linköpings universitet, Medicinska fakulteten.ORCID-id: 0000-0002.3555-7162
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för radiologiska vetenskaper. Linköpings universitet, Medicinska fakulteten. Region Östergötland, Diagnostikcentrum, Röntgenkliniken i Linköping. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV.ORCID-id: 0000-0002-9446-6981
Vise andre og tillknytning
2015 (engelsk)Inngår i: BMC Medical Imaging, ISSN 1471-2342, E-ISSN 1471-2342, Vol. 15, nr 42Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
BIOMED CENTRAL LTD , 2015. Vol. 15, nr 42
Emneord [en]
Renal artery stenosis; Computed tomography angiography; Magnetic resonance angiography; Renography; Fuzzy connectedness segmentation; Vessel diameter; Cross-sectional area
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-122418DOI: 10.1186/s12880-015-0086-8ISI: 000362535400001PubMedID: 26459634OAI: oai:DiVA.org:liu-122418DiVA, id: diva2:866313
Merknad

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

Tilgjengelig fra: 2015-11-02 Laget: 2015-11-02 Sist oppdatert: 2019-02-05

Open Access i DiVA

fulltext(1093 kB)159 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 1093 kBChecksum SHA-512
aff6e35717e50ed52a8ce7959d742e56a1c7d3f3137d3211c4a5beb180c3964d6e5bf7ad7983e28f5a5c5df7fe77d176e9003a8fc98ebb88634413b31f719aea
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMed

Personposter BETA

Eriksson, PerPersson, AndersGranerus, GöranWang, ChunliangSmedby, Örjan

Søk i DiVA

Av forfatter/redaktør
Eriksson, PerPersson, AndersGranerus, GöranWang, ChunliangSmedby, Örjan
Av organisasjonen
I samme tidsskrift
BMC Medical Imaging

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 159 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 819 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf