Digital imaging analysis to assess scar phenotype

Brian J Smith; Nichole Nidey; Steven F Miller; Lina M Moreno; Christian L Baum; Grant S Hamilton; George L Wehby; Martine Dunnwald

doi:10.1111/wrr.12141

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Digital imaging analysis to assess scar phenotype

Journal article

Open access

Peer reviewed

Digital imaging analysis to assess scar phenotype

Brian J Smith, Nichole Nidey, Steven F Miller, Lina M Moreno, Christian L Baum, Grant S Hamilton, George L Wehby and Martine Dunnwald

Wound repair and regeneration, Vol.22(2), pp.228-238

2014

DOI: 10.1111/wrr.12141

PMCID: PMC4411947

PMID: 24635173

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Abstract

In order to understand the link between the genetic background of patients and wound clinical outcomes, it is critical to have a reliable method to assess the phenotypic characteristics of healed wounds. In this study, we present a novel imaging method that provides reproducible, sensitive and unbiased assessments of post-surgical scarring. We used this approach to investigate the possibility that genetic variants in orofacial clefting genes are associated with suboptimal healing. Red-green-blue (RGB) digital images of post-surgical scars of 68 patients, following unilateral cleft lip repair, were captured using the 3dMD image system. Morphometric and colorimetric data of repaired regions of the philtrum and upper lip were acquired using ImageJ software and the unaffected contralateral regions were used as patient-specific controls. Repeatability of the method was high with interclass correlation coefficient score > 0.8. This method detected a very significant difference in all three colors, and for all patients, between the scarred and the contralateral unaffected philtrum ( P ranging from 1.20 −05 to 1.95 −14 ). Physicians’ clinical outcome ratings from the same images showed high inter-observer variability (overall Pearson coefficient = 0.49) as well as low correlation with digital image analysis results. Finally, we identified genetic variants in TGFB3 and ARHGAP29 associated with suboptimal healing outcome.

Wound Healing

Genes

digital

Tgfb3

scar

Arhgap29

cleft palate

genotype-phenotype

imaging

Details

Title: Subtitle: Digital imaging analysis to assess scar phenotype
Creators: Brian J Smith - University of Iowa, Preventive and Community Dentistry
Nichole Nidey - Department of Pediatrics The University of Iowa, Iowa City, IA
Steven F Miller - Dows Institute for Dental Research, The University of Iowa, Iowa City, IA
Lina M Moreno - Dows Institute for Dental Research, The University of Iowa, Iowa City, IA
Christian L Baum - Department of Dermatology, Mayo Clinic, Rochester, MN
Grant S Hamilton - Department of Otorhinolaryngology, Mayo Clinic, Rochester, MN
George L Wehby - Department of Health and Management Policy, The University of Iowa College of Public Health, Iowa City, IA
Martine Dunnwald - Department of Pediatrics The University of Iowa, Iowa City, IA
Resource Type: Journal article
Publication Details: Wound repair and regeneration, Vol.22(2), pp.228-238
DOI: 10.1111/wrr.12141
PMID: 24635173
PMCID: PMC4411947
NLM abbreviation: Wound Repair Regen
ISSN: 1067-1927
eISSN: 1524-475X
Grant note: DOI: 10.13039/100000002, name: National Institutes of Health, award: AR055313; DOI: 10.13039/100000002, name: National Institutes of Health, award: DD000295; DOI: 10.13039/100000002, name: National Institutes of Health, award: DE08559
Language: English
Date published: 2014
Academic Unit: Preventive and Community Dentistry; Health Management and Policy; Biostatistics; Addiction Medicine; Craniofacial Anomalies Research Center; Orthodontics; Anatomy and Cell Biology; Stead Family Department of Pediatrics; Epidemiology; Economics; Public Policy Center (Archive); Dental Research; Holden Comprehensive Cancer Center
Record Identifier: 9984025443802771

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