Comparing 3D imaging devices for the measurement of cutaneous neurofibromas in patients with Neurofibromatosis Type 1

Author:

Lau Jonathan C. L.12,Fleming Jane12,Good Martin2,Lim Adrian13,Saunderson Rebecca B.13,Phan Tai A.13,Schlub Timothy4,Siow Sue‐Faye12,Lacson Nanette2,Romo Carlos5,Blakely Jaishri5,Bergqvist Christina6,Berman Yemima D.12ORCID

Affiliation:

1. Faculty of Medicine and Health, Sydney Medical School The University of Sydney Sydney New South Wales Australia

2. Department of Clinical Genetics Royal North Shore Hospital Sydney New South Wales Australia

3. Department of Dermatology Royal North Shore Hospital Sydney New South Wales Australia

4. Faculty of Medicine and Health Sydney School of Public Health The University of Sydney Sydney New South Wales Australia

5. Department of Neurology John Hopkins University School of Medicine Baltimore Maryland USA

6. Department of Dermatology, National Referral Center for Neurofibromatoses, Henri‐Modor Hospital Assistance Publique‐Hopital Paris (AP‐HP) Paris France

Abstract

AbstractBackgroundCutaneous neurofibromas (cNFs) are a major cause of disfigurement in patients with Neurofibromatosis Type 1 (NF1). However, clinical trials investigating cNF treatments lack standardised outcome measures to objectively evaluate changes in cNF size and appearance. 3D imaging has been proposed as an objective standardised outcome measure however various systems exist with different features that affect useability in clinical settings. The aim of this study was to compare the accuracy, precision, feasibility, reliability and accessibility of three imaging systems.Materials and methodsWe compared the Vectra‐H1, LifeViz‐Micro and Cherry‐Imaging systems. A total of 58 cNFs from 13 participants with NF1 were selected for imaging and analysis. The primary endpoint was accuracy as measured by comparison of measurements between imaging systems. Secondary endpoints included reliability between two operators, precision as measured with the average coefficient of variation, feasibility as determined by time to capture and analyse an image and accessibility as determined by cost.ResultsThere was no significant difference in accuracy between the three devices for length or surface area measurements (p > 0.05), and reliability and precision were similar. Volume measurements demonstrated the most variability compared to other measurements; LifeViz‐Micro demonstrated the least measurement variability for surface area and image capture and analysis were fastest with LifeViz‐Micro. LifeViz‐Micro was better for imaging smaller number of cNFs (1–3), Vectra‐H1 better for larger areas and Cherry for uneven surfaces.ConclusionsAll systems demonstrated excellent reliability but possess distinct advantages and limitations. Surface area is the most consistent and reliable parameter for measuring cNF size in clinical trials.

Funder

Neurofibromatosis Therapeutic Acceleration Program

Publisher

Wiley

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