ArticleOsteoarthritis imaging2025
Wireless vs. Traditional Ultrasound Assessed Knee Cartilage Outcomes Utilizing Automated Gain and Normalization Techniques.
Article in Osteoarthritis imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Assessment of Quadriceps Muscle Characteristics in Female Division I Athletes: A Validation Study of Wireless Probes Against Standard Ultrasound Units.Journal of sport rehabilitation · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Advancements in wireless ultrasound technology allow for point of care cartilage imaging, yet validation against traditional ultrasound units remains to be established for knee cartilage outcomes. Therefore, the purpose of our study was to establish the replicability, reliability and agreement, of articular cartilage thickness and echo-intensity measures between traditional and wireless ultrasound units utilizing automatic-gain and normalization techniques. We used traditional and wireless ultrasound to assess the femoral cartilage via transverse suprapatellar scans with the knee in maximum flexion in 71 female NCAA Division I athletes (age: 20.0±1.3 years, height: 171.7±8.7 cm, mass: 69.4±11.0 kg). Wireless ultrasound images (auto-gain and standard gain) were compared to traditional ultrasound images (standard gain) before and after normalization. Ultrasound image pixel values were algebraically scaled to normalize differences between units in image acquisition. Mean thickness and echo-intensity of the global and sub-regions of interest were measured across imaging parameters. Intraclass correlation coefficients (ICC
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