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Volumetric Assessment of Pediatric Vascular Malformations Using a Rapid, Hand-Held Three-Dimensional Imaging System

Authors :
Rachel Swerdlin
M. Weiler
Solomon Park
C. Matthew Hawkins
J. Brandon Dixon
Michael Briones
Ethan J. Speir
Source :
Journal of Digital Imaging. 32:260-268
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

The effect of percutaneous, surgical, and medical therapies for vascular malformations (VMs) is often difficult to quantify volumetrically using cross-sectional imaging. Volumetric measurement is often estimated with serial, expensive MRI examinations which may require sedation or anesthesia. We aim to explore whether a portable 3D scanning device is capable of rapid, accurate volumetric analysis of pediatric VMs. Using an iPad-mounted infrared scanning device, 3D scans of patient faces, arms, and legs were acquired over an 8-month study period. Proprietary software was use to perform subsequent volumetric analysis. Of a total of 30 unilateral VMs involving either the face, arms, or legs, 26 (86.7%) VMs were correctly localized by discerning the larger volume of the affected side compared to the normal contralateral side. For patients with unilateral facial VMs (n = 10), volume discrepancy between normal and affected sides differed compared with normal controls (n = 19). This was true for both absolute (60 cc ± 55 vs 15 cc ± 8, p = 0.03) as well as relative (18.1% ± 13.2 vs 4.0% ± 2.1, p = 0.008) volume discrepancy. Following treatment, two patients experienced change in leg volume discrepancy ranging from − 17.3 to − 0.4%. Using a portable 3D scanning device, we were able to rapidly and noninvasively detect and quantify volume discrepancy resulting from VMs of the face, arms, and legs. Preliminary data suggests this technology can detect volume reduction of VMs in response to therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10278-019-00183-6) contains supplementary material, which is available to authorized users.

Details

ISSN :
1618727X and 08971889
Volume :
32
Database :
OpenAIRE
Journal :
Journal of Digital Imaging
Accession number :
edsair.doi.dedup.....038ced72e8d1d4e5bb225d2c985c0419
Full Text :
https://doi.org/10.1007/s10278-019-00183-6