Building Three-Dimensional Intracranial Aneurysm Models from 3D-TOF MRA: a Validation Study.
To create realistic three-dimensional (3D) vascular models from 3D time-of-flight magnetic resonance angiography (3D-TOF MRA) of an intracranial aneurysm (IA). Thirty-two IAs in 31 patients were printed using 3D-TOF MRA source images from polylactic acid (PLA) raw material. Two observers measured th...
| Publicado en: | Journal of Digital Imaging Vol. 32; no. 6; pp. 963 - 971 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139568192&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139568192 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2019 vid: 32 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 139568192 139568192 139568192 10.1007/s10278-019-00256-6 139568192 ppf: 963 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Building Three-Dimensional Intracranial Aneurysm Models from 3D-TOF MRA: a Validation Study. aug: au: Acar, Turker Karakas, Asli Beril Ozer, Mehmet Asim Koc, Ali Murat Govsa, Figen affil: Department of Radiology, University of Health Sciences Bozyaka Education and Training Hospital, Izmir, Turkey sug: subj: Cerebral Aneurysm Models, Structural Magnetic Resonance Angiography Methods Imaging, Three-Dimensional Human Printing, Three-Dimensional Intraclass Correlation Coefficient Validation Studies Tomography, X-Ray Computed Wilcoxon Rank Sum Test Spearman's Rank Correlation Coefficient Algorithms Models, Anatomic Retrospective Design T-Tests Confidence Intervals Data Analysis Software Male Female Middle Age Aged Middle Aged: 45-64 years Aged: 65+ years Male Female ab: To create realistic three-dimensional (3D) vascular models from 3D time-of-flight magnetic resonance angiography (3D-TOF MRA) of an intracranial aneurysm (IA). Thirty-two IAs in 31 patients were printed using 3D-TOF MRA source images from polylactic acid (PLA) raw material. Two observers measured the maximum IA diameter at the longest width twice separately. A total mean of four measurements as well as each observer's individual average MRA lengths were calculated. After printing, 3D-printed anatomic models (PAM) underwent computed tomography (CT) acquisition and each observer measured them using the same algorithm as applied to MRA. Inter- and intra-observer consistency for the MRA and CT measurements were analyzed using the intraclass correlation coefficient (ICC) and a Bland-Altman plot. The mean maximum aneurysm diameter obtained from four MRA evaluations was 8.49 mm, whereas it was 8.83 mm according to the CT 3D PAM measurement. The Wilcoxon test revealed slightly larger mean CT 3D PAM diameters than the MRA measurements. The Spearman's correlation test yielded a positive correlation between MRA and CT lengths of 3D PAMs. Inter and intra-observer consistency were high in consecutive MRA and CT measurements. According to Bland-Altman analyses, the aneurysmal dimensions obtained from CT were higher for observer 1 and observer 2 (a mean of 0.32 mm and 0.35 mm, respectively) compared to the MRA measurements. CT dimensions were slightly overestimated compared to MRA measurements of the created models. We believe the discrepancy may be related to the Laplacian algorithm applied for surface smoothing and the high slice thickness selection that was used. However, ICC provided high consistency and reproducibility in our cohort. Therefore, it is technically possible to produce 3D intracranial aneurysm models from 3D-TOF MRA images. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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