Evidence map›Paper›PMID 26251425›Full record

ArticleAJNR. American journal of neuroradiology2015

Diagnostic Accuracy of 4 Commercially Available Semiautomatic Packages for Carotid Artery Stenosis Measurement on CTA.

J Borst, H A Marquering, M Kappelhof, T Zadi, A C van Dijk, P J Nederkoorn, R van den Berg, A van der Lugt, C B L M Majoie

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

J BorstFrom the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.) j.borst@amc.uva.nl.
H A MarqueringFrom the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.) Biomedical Engineering and Physics (H.A.M.).
M KappelhofFrom the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.).
T ZadiDepartment of Radiology (T.Z., A.C.v.D., A.v.d.L.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
A C van DijkDepartment of Radiology (T.Z., A.C.v.D., A.v.d.L.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
P J NederkoornNeurology (P.J.N.), Academic Medical Center, Amsterdam, the Netherlands.
R van den BergFrom the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.).
A van der LugtDepartment of Radiology (T.Z., A.C.v.D., A.v.d.L.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.
C B L M MajoieFrom the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.).
Academic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSemiautomatic measurement of ICA stenosis potentially increases observer reproducibility. In this study, we assessed the diagnostic accuracy and interobserver reproducibility of a commercially available semiautomatic ICA stenosis measurement on CTA and estimated the agreement among different software packages. MATERIALS AND

methodsWe analyzed 141 arteries from 90 patients with TIA or ischemic stroke. Manual stenosis measurements were performed by 2 neuroradiologists. Semiautomatic measurements by using 4 methods (3mensio and comparable software from Philips, TeraRecon, and Siemens) were performed by 2 observers. Diagnostic accuracy was estimated by comparing semiautomatic with manual measurements. Interobserver reproducibility and agreement between different packages was assessed by calculation of the intraclass correlation coefficient and Bland-Altman 95% limits of agreement. False-negative classifications were retrospectively inspected by a neuroradiologist.

resultsThere was no significant difference in the diagnostic performance of the 4 semiautomatic methods. The sensitivity for detecting ≥50% and ≥70% degree of stenosis was between 76% and 82% and 46% and 62%, respectively. Specificity and overall diagnostic accuracy were between 92% and 97% and 85% and 90%, respectively. The interobserver intraclass correlation coefficient was between 0.83 and 0.96 for semiautomatic measurements and 0.81 for manual measurement. The limits of agreement between each pair of semiautomatic packages ranged from -18%-24% to -33%-31%. False-negative classifications were caused by ulcerative plaques and observer variation in stenosis and reference measurements.

conclusionsSemiautomatic methods have a low-to-good sensitivity and a good specificity and overall diagnostic accuracy. The high interobserver reproducibility makes semiautomatic stenosis measurement valuable for clinical practice, but semiautomatic measurements should be checked by an experienced radiologist.

Indexed as

Cerebral AngiographyDiagnosis, Computer-AssistedSoftwareTomography, X-Ray ComputedAdultAgedAged, 80 and overBrain InfarctionCarotid StenosisFemaleHumansImage Processing, Computer-AssistedIschemic Attack, TransientMaleMiddle AgedObserver Variation

Identifiers

PMID26251425
PMCPMC7965040
OpenAlexW2193563644

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.