Impact of scan quality on AI assessment of hip dysplasia ultrasound.

ABSTRACT:

Aims

Early diagnosis of developmental dysplasia of the hip (DDH) using ultrasound (US) is safe, effective and inexpensive, but requires high-quality scans. The effect of scan quality on diagnostic accuracy is not well understood, especially as artificial intelligence (AI) begins to automate such diagnosis. In this paper, we developed a 10-point scoring system for reporting DDH US scan quality, evaluated its inter-rater agreement and examined its effect on automated assessment by an AI system-MEDO-Hip.

Methods

Scoring was based on iliac wing straightness and angulation; visibility of labrum, os ischium and femoral head; motion; and other artifacts. Four readers from novice to expert separately scored the quality of 107 scans with this 10-point scale and with holistic grading

SUBMITTER: Hareendranathan AR 

PROVIDER: S-EPMC9148351 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature