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How to measure rena...
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Andersson, MalinLinköpings universitet,Avdelningen för radiologiska vetenskaper,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinska fakulteten
(author)
How to measure renal artery stenosis - a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance
- Article/chapterEnglish2015
Publisher, publication year, extent ...
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2015-10-12
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BioMed Central,2015
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electronicrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:kth-176337
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176337URI
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https://doi.org/10.1186/s12880-015-0086-8DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122418URI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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QC 20151104
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Funding Agencies|Research Council of South-Eastern Sweden (FORSS); Swedish Research Council (VR)
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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.
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Jägervall, KarlLinköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV
(author)
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Eriksson, PerLinköpings universitet,Avdelningen för neuro- och inflammationsvetenskap,Medicinska fakulteten,Region Östergötland, Reumatologiska kliniken i Östergötland(Swepub:liu)perer22
(author)
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Persson, AndersLinköpings universitet,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping(Swepub:liu)andpe75
(author)
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Granerus, GöranLinköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Fysiologiska kliniken US(Swepub:liu)gorgr70
(author)
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Wang, ChunliangLinköpings universitet,KTH,Skolan för teknik och hälsa (STH),Linköping Univ, Sweden,BILDBEHANDLING OCH VISUALISERING,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,KTH Royal Institute Technology, Sweden(Swepub:liu)chuwa53
(author)
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Smedby, ÖrjanLinköpings universitet,KTH,Skolan för teknik och hälsa (STH),Linköping Univ, Sweden,BILDBEHANDLING OCH VISUALISERING,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping,KTH Royal Institute Technology, Sweden(Swepub:liu)orjsm14
(author)
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Linköpings universitetAvdelningen för radiologiska vetenskaper
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In:BMC Medical Imaging: BioMed Central151471-2342
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