Reliable and easy-to-use calculating tool for the Nail Psoriasis Severity Index using deep learning.

Journal: NPJ systems biology and applications
PMID:

Abstract

Since nail psoriasis restricts the patient's daily activities, therapeutic intervention based on reliable and reproducible evaluation is critical. The Nail Psoriasis Severity Index (NAPSI) is a validated scoring tool, but its usefulness is limited by interobserver variability. This study aimed to develop a reliable and accurate NAPSI scoring tool using deep learning. The tool "NAPSI calculator" includes two parts: nail detection from images and NAPSI scoring. NAPSI was annotated by nine nail experts who are board-certified dermatologists with sufficient experience in a specialized clinic for nail diseases. In the final test set, the "NAPSI calculator" correctly located 137/138 nails and scored NAPSI with higher accuracy than the compared six non-board-certified residents: 83.9% vs 65.7%; P = 0.008 and four board-certified non-nail expert dermatologists: 83.9% vs 73.0%; P = 0.005. The "NAPSI calculator" can be readily used in a clinical situation, contributing to raising the medical practice level for nail psoriasis.

Authors

  • Hiroto Horikawa
    Department of Dermatology, Keio University School of Medicine. 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
  • Keiji Tanese
    Department of Dermatology, Keio University School of Medicine. 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
  • Naoki Nonaka
    Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.
  • Jun Seita
    Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan.
  • Masayuki Amagai
    Department of Dermatology, Keio University School of Medicine, Shinjuku-ku, 160-0016, Tokyo, Japan.
  • Masataka Saito
    Department of Dermatology, Keio University School of Medicine. 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. masataka@keio.jp.