Concurrent validation and reliability of digital image analysis of granulation tissue color for clinical pressure ulcers

Shinji Iizaka, Junko Sugama, Gojiro Nakagami, Toshiko Kaitani, Ayumi Naito, Hiroe Koyanagi, Junko Matsuo, Takafumi Kadono, Chizuko Konya, Hiromi Sanada

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Granulation tissue color is one indicator for pressure ulcer (PU) assessment. However, it entails a subjective evaluation only, and quantitative methods have not been established. We developed color indicators from digital image analysis and investigated their concurrent validity and reliability for clinical PUs. A cross-sectional study was conducted on 47 patients with 55 full-thickness PUs. After color calibration, a wound photograph was converted into three images representing red color: erythema index (EI), modified erythema index with additional color calibration (granulation red index [GRI]), and â*, which represents the artificially created red-green axis of L*a*b* color space. The mean intensity of the granulation tissue region and the percentage of pixels exceeding the optimal cutoff intensity (% intensity) were calculated. Mean GRI (ρ?=0.39, p=0.007)and â* (ρ?=0.55, p<0.001), as well as their % intensity indicators, showed positive correlations with a* measured by tristimulus colorimeter, but erythema index did not. They were correlated with hydroxyproline concentration in wound fluid, healthy granulation tissue area, and blood hemoglobin level. Intra- and interrater reliability of the indicator calculation using both GRI and had an intraclass correlation coefficient >0.9. GRI and â*, from digital image analysis can quantitatively evaluate granulation tissue color of clinical PUs.

Original languageEnglish
Pages (from-to)455-463
Number of pages9
JournalWound Repair and Regeneration
Volume19
Issue number4
DOIs
Publication statusPublished - 07-2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Surgery
  • Dermatology

Fingerprint

Dive into the research topics of 'Concurrent validation and reliability of digital image analysis of granulation tissue color for clinical pressure ulcers'. Together they form a unique fingerprint.

Cite this