Method of Assessing Skin Cancerization and KeratosesTM (MASCK™): development and photographic validation in multiple anatomical sites of a novel assessment tool intended for clinical evaluation of patients with extensive skin field cancerization

Author:

Baker Christopher12,James Amelia1,Supranowicz Madeleine3,Spelman Lynda3,Shumack Stephen45,Cole Judith6,Weightman Warren7,Sinclair Robert3,Foley Peter128

Affiliation:

1. Department of Dermatology St Vincent's Hospital Melbourne Fitzroy Vic. Australia

2. Department of Medicine The University Melbourne Melbourne Vic. Australia

3. Specialist Connect Services Brisbane QLD Australia

4. Sydney Medical School University of Sydney Sydney NSW Australia

5. Department of Dermatology Royal North Shore Hospital Sydney NSW Australia

6. Department of Dermatology St John of God Hospital Subiaco WA Australia

7. Department of Dermatology Queen Elizabeth Hospital Woodville SA Australia

8. Probity Medical Research Skin Health Institute Melbourne Vic. Australia

Abstract

Summary Background A range of ‘field-directed’ treatments is available for the management of extensive skin field cancerization (ESFC), but to date, the only validated objective quantitative tools are limited to assessment of actinic keratoses (AKs) affecting the head. Aims To develop a versatile quantitative instrument for objective clinical assessment of ESFC and perform initial internal validation across multiple anatomical zones. Methods The study comprised instrument development, pilot testing and instrument refinement and two rounds of reliability and inter-rater validation testing. The study was noninterventional and used a convenience sample of de-identified patient photographs selected based on preset criteria. An expert panel developed the instrument and scoring system via a modified Delphi voting process. A sample of 16 healthcare professionals from multiple specialties undertook the pilot testing, and a panel of seven dermatologists were involved in validation testing. Validation was determined by assessment of overall inter-rater agreement using Gwet chance-corrected agreement coefficients (ACs). Results The instrument produced, called the Method for Assessing Skin Cancer and Keratoses™ (MASCK™), comprises the Skin Field Cancerization Index (SFCIndex), derived from area of skin involvement and AKs (number and thickness), a global assessment score and a cancer-in-zone score, and uses Likert scales for quantitative scoring. The SFCIndex is a composite score comprising the number and thickness of AKs multiplied by area of skin involvement. ACs for the SFCIndex components, the overall SFCIndex score and the global assessment score were > 0.80 (rated ‘almost perfect’) while the AC for the cancer-in-zone metric was lower (0.33, rated ‘fair’). Internal consistency was demonstrated via positive correlation between the overall SFCIndex score and the global assessment score. Conclusions Our study found near-perfect agreement in inter-rater reliability when using MASCK to assess the severity of ESFC in multiple anatomical sites. Further validation of this novel instrument is planned to specifically assess its reliability, utility and feasibility in clinical practice.

Publisher

Oxford University Press (OUP)

Subject

Dermatology

Reference32 articles.

1. From actinic keratosis to squamous cell carcinoma;Ortonne;Br J Dermatol,2002

2. Malignant transformation of solar keratoses to squamous cell carcinoma;Marks;Lancet,1988

3. The risk of progression to invasive disease;Glogau;J Am Acad Dermatol,2000

4. Actinic keratosis and non-invasive diagnostic techniques: an update;Casari;Biomedicines,2018

5. Multiple nonmelanoma skin cancer in an exposed Australian population;Raasch;Int J Dermatol,2002

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