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At-Home Digital Platform for Scoring Skin Disease

Life & Health Sciences
Software
Diagnostics
Digital Health
Other
Algorithms
Image/Signal Processing
College
College of Medicine (COM)
Researchers
Kaffenberger, Benjamin
Gurcan, Metin
Licensing Manager
He, Panqing
951-827-7986
he.17@osu.edu

T2018-031

An automated image analysis system for the recognition and quantification of skin disease

The Need

Acne and rosacea are skin diseases that affect around 85% of individuals, the former being the most common skin condition afflicting up to 50 million people. There is no gold standard for evaluation of these skin diseases, and their treatment efficacy is generally determined according to a poorly validated counting process by the physician and patient. This process is prone to poor reliability between different observers and can be highly time consuming, making the assessment challenging and inefficient.

Acne can be classified into several morphologies including closed comedones (whiteheads), open comedones (blackheads), papules, pustules, cysts (nodules), and scars. For a validated assessment, the different morphologies need to be counted independently. This is not cost-effective in most settings; thus, a general gestalt needs to be used clinically. Given that these diseases are highly prevalent, the current methods are cost-prohibitive and suffer from poor reliability. Accordingly, there is a practical need to automate and digitalize the process of evaluating acne and rosacea lesions.

The Technology

Researchers at The Ohio State University have created novel image analysis software for the recognition and stratification of various skin lesion morphologies and redness in skin disease. This software is ideal for monitoring patient progression during dermatological clinical trials where this technology could decrease cost, investigator time, and inter-rater variability between investigators. The novel software uses a series of time-stamped digital photographs captured with plain white light and readily accessible smart phone cameras to automate lesion identification and quantification. The software automatically adjusts for variance in lighting and generates a map of the lesions. Using proprietary algorithms and methodologies, the skin lesions are scored and classified into six different lesion morphologies for an accurate patient assessment. A summative global score is then calculated for each patient's time-stamped entry to quantify efficacy of clinical treatments.

Commercial Applications

  • A point of care diagnostic product for use either at home by a patient or within medical clinics
  • Currently applicable to rosacea, acne, and psoriasis
  • Patient-facing smart phone application development, e.g. Grade Your Acne, Count Your Acne Over Time
  • Dermatology clinical trial patient scoring and data management
  • Pharmaceutical company development for patient-facing smart phone applications to encourage adherence with their drug (permitting e.g. user to see improvements over time graphed using XX pharmaceutical)

Benefits/Advantages

  • An easy use-at-home method allowing a patient to use a smartphone to identify many common skin conditions
  • Results correlate strongly with expert consensus and repeated analysis
  • Can improve patient adherence to medication by precise quantification of change for patients or prompt them to seek medical attention if needed. (It could also decrease the number of office visits for less severe skin issues.)
  • Generates quantitative metrics for clinical trials of rosacea or acne treatments
  • Reduces clinical trial costs by reducing investigator time and enabling remotely captured data points without a standard office-visit for counting
  • Harmonizes data across participating clinical trial physicians and/or institutions
  • Reduces paper documentation and physician notes of the evaluation

Intellectual Property

Issued U.S. Patent 11,244,456