Radiographic skeletal age (or bone age) assessment is widely used by pediatricians and endocrinologists as part of the clinical assessment of skeletal maturity to diagnose growth disorders. However, radiologists assessing bone age using the Greulich & Pyle method must do a manual comparison of digital radiographs from patients with reference images in an atlas, a time-consuming task with a high level of inter-rater variability.
A quick and automated method to estimate bone age according to Greulich & Pyle in a standardized format enables radiologists and physicians to supply quick and accurate assessments of child growth and development. IB Lab PANDA™ is here to help
Excellent Agreement with expert readers, mean difference only 0.77 months 7
Based on internal testing, IB Lab PANDA™ takes on average 8.4 seconds for fully automated analysis
Using IB Lab PANDA reduced measurement differences by 5.8 months
Calculation time, compared to several minutes of manual lookup of the Greulich and Pyle (G&P) atlas [1]
PANDA’s automated adult height estimation is precise to ±2.5 cm [4]
of radiologists are likely to ask for PANDA to be installed in their practice
IB Lab’s diagnostic support tool IB Lab PANDA™ uses deep learning technology to report bone age based on the Greulich & Pyle scale and saves time by calculating the results within five seconds. IB Lab PANDA™’s automated bone age measurement according to Greulich & Pyle is precise to 5.3 months mean absolute deviation. IB Lab PANDA™ provides accurate data for decision making. Standardized measurements and reporting schemes facilitate monitoring of treatment progress.
IB Lab PANDA™ presents relevant clinical findings by applying international medical standards to enable timely and accurate decision making. The findings are summarized in a visual output report, attached to the original radiograph and saved automatically in the PACS system. The AI-results are fed as text into your pre-defined RIS-template for accelerated reporting. The standardized reporting enables monitoring of disease progression by facilitating comparison of radiographic disease parameters over time.
IB Lab PANDA uses deep learning technology to report bone age based on the Greulich & Pyle scale and saves time by presenting the results within 5 seconds. The system is to be used by trained medical professionals including, but not limited to, orthopedists and radiologists. It should not be used in-lieu of full patient evaluation or solely relied upon to make or confirm a diagnosis.
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