Comparison of Actinic Keratosis and Severity Index with Physician Global Assessment and Total Lesion Count and the Ability to Predict Skin Cancer

7Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Introduction: Actinic keratosis (AK) is a known indicator for sun damage, and subsequent squamous ABSTRACT cell cancer may develop. The actinic keratosis and severity index (AKASI) is a recently developed tool that can evaluate both field cancerization and AK severity. Objectives: We sought to evaluate if AKASI was a good predictor of cancer in AK patients and to compare AKASI with both the Physician Global Assessment (PGA) and total lesion count (TLC). Methods: Ninety patients with AK were included in the study. Each patient was examined, and AKs were scored with AKASI, PGA and TLC by 2 dermatologists. The AKASI, PGA and TLC values were compared between patients with skin cancer and patients without skin cancer. Results: Mean AKASI, PGA, and TLC scores were 4.9, 1.7 and 9 respectively. The patients with skin cancer had higher scores of AKASI, PGA and TLC compared to the patients without skin cancer (P = 0.022, P = 0.014, P = 0.005, respectively). AKASI, PGA and TLC were very strongly correlated with each other (P < 0.001). The AKASI threshold value for non-melanoma skin cancer was determined to be 5.1. Conclusions: AKASI, PGA and TLC may be used in the assessment of the severity of AK in daily practice or studies and may be considered as valuable tools in determining high-risk patients and to choose treatment option. AKASI seems to have an advantage to give a numeric threshold value for skin cancer.

Cite

CITATION STYLE

APA

Acar, A., & Karaarslan, I. (2022). Comparison of Actinic Keratosis and Severity Index with Physician Global Assessment and Total Lesion Count and the Ability to Predict Skin Cancer. Dermatology Practical and Conceptual, 12(1). https://doi.org/10.5826/dpc.1201a31

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free