| Content Provider |
World Health Organization (WHO)-Global Index Medicus |
| Author |
Borst, J. Marquering, H. A. Kappelhof, M. Zadi, T. Van Dijk, A. C. Nederkoorn, P. J. Van Den Berg, R. Van Der Lugt, A. Majoie, C. B. L. M. |
| Description |
Author Affiliation: Borst J ( From 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.); Marquering HA ( From 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.).); Kappelhof M ( From the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.).); Zadi T ( Department of Radiology (T.Z., A.C.v.D., A.v.d.L.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.); van Dijk AC ( Department of Radiology (T.Z., A.C.v.D., A.v.d.L.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.); Nederkoorn PJ ( Neurology (P.J.N.), Academic Medical Center, Amsterdam, the Netherlands.); van den Berg R ( From the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.).); van der Lugt A ( Department of Radiology (T.Z., A.C.v.D., A.v.d.L.), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands.); Majoie CB ( From the Departments of Radiology (J.B., H.A.M., M.K., R.v.d.B., C.B.L.M.M.).) |
| Abstract |
BACKGROUND AND PURPOSE: Semiautomatic 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 METHODS: We 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. RESULTS: There 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. CONCLUSIONS: Semiautomatic 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. |
| File Format |
HTM / HTML |
| ISSN |
01956108 |
| e-ISSN |
1936959X |
| Journal |
American Journal of Neuroradiology |
| Issue Number |
10 |
| Volume Number |
36 |
| Language |
English |
| Publisher |
American Journal of Neuroradiology |
| Publisher Date |
2015-10-01 |
| Publisher Place |
United States |
| Access Restriction |
Open |
| Subject Keyword |
Discipline Neurology Discipline Radiology Brain Infarction Diagnosis Carotid Stenosis Cerebral Angiography Diagnosis, Computer-assisted Ischemic Attack, Transient Tomography, X-ray Computed Image Processing, Computer-assisted Observer Variation Reproducibility Of Results Retrospective Studies Research Support, Non-u.s. Gov't |
| Content Type |
Text |
| Resource Type |
Article |
| Subject |
Radiology, Nuclear Medicine and Imaging Neurology (clinical) |
