skin hyperpigmentation
skin hyperpigmentation quantifies hyperpigmentation in skin lesions from digital photographs using automated image analysis to provide an objective, standardized measurement comparable to the Physician Global Assessment (PGA).
Key Features:
- Objective Measurement: The Skin Hyperpigmentation Index (SHI) uses automated image analysis to quantify hyperpigmentation levels from digital photographs of skin lesions.
- Automated Image Analysis Software: Computerized analysis of lesion photographs produces reproducible quantitative measurements.
- Reliability: Demonstrates excellent intra-rater and interrater reliability across dermatologists, nondermatologist physicians, and nonphysician clinicians.
- Concordance with PGA: Shows strong concordance with Physician Global Assessment scores while providing standardized outputs.
Scientific Applications:
- Validation Studies: Facilitates validation by comparing SHI measurements with assessments from experienced dermatologists and other clinicians.
- Clinical Research: Enables quantitative investigation of conditions such as melasma, post-inflammatory hyperpigmentation, and pigmented nevi.
- Training Tool: Provides consistent objective measurements to support training of clinicians with varying dermatological experience.
Methodology:
Photographs of pigmented lesions were analyzed by SHI's automated image analysis software and compared with subjective PGA scores across 15 raters grouped as dermatologists, nondermatologist physicians, and nonphysician clinicians, with intra- and interrater reliability assessed.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 5/16/2022
- Last Updated:
- 5/16/2022
Operations
Data Inputs & Outputs
Quantification
Publications
Bossart S, Cazzaniga S, Willenberg T, Ramelet A, Heidemeyer K, Uthoff H, Baumgartner M, Hunger RE, Seyed Jafari SM. Reliability Assessment and Validation of the Skin Hyperpigmentation Index Compared to the Physician Global Assessment Score. Dermatology. 2021;238(4):688-691. doi:10.1159/000520753. PMID:34969031.