PANDA

Pediatric Bone Age and Developmental Assessment

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Problems

Bone age assessment currently involves labor-intensive tasks such as tedious measurements, image comparisons, and the use of the Greulich & Pyle reference atlas. These processes demand high levels of focus and precision from human operators. Moreover, the current methods are time-intensive and manual analysis methods introduce significant variability both within and between different readers.

High workload

Time intensive

Subjective

Solutions

PANDA offers rapid results within the existing workflow, reducing calculation time compared to manual Greulich and Pyle atlas lookup. It delivers precise adult height estimation and accurate bone age estimation based on the Greulich and Pyle atlas.

Instant results

Automated adult height estimation

Accurate bone age estimation

75

%

of radiologists would use IB Lab PANDA for bone age estimation of hand radiographs if cost were no issue

93

%

of radiologists perceive IB Lab PANDA to be useful in their medical practice

4.2

months

PANDA’s Bone age estimation based on G&P is precise to ±4.2 months  [3],[5]

Product description

PANDA provides a swift automated method to estimate bone age according to Greulich & Pyle in a standardized form to facilitate the monitoring of child growth and development.

Findings

Radiological findings, measurements, and results including:

  •  Pediatric bone age according to Greulich & Pyleu
  •  Delayed / advanced bone age patient status
  •  Height estimation according to Bayley & Pinneaum
  •  Growth potential achieved

Benefits

Time saving

Enhanced consistency

Easy to monitor

Intended use

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.

References

[1] King, D. G., Steventon, D. M., O'sullivan, M. P., Cook, A. M., Hornsby, V. P. L., Jefferson, I. G., & King, P. R. (1994). Reproducibility of bone ages when performed by radiology registrars: an audit of Tanner and Whitehouse II versus Greulich and Pyle methods. The British journal of radiology, 67(801), 848-851.

[2] Serinelli, S., Panetta, V., Pasqualetti, P., & Marchetti, D. (2011). Accuracy of three age determination X-ray methods on the left hand-wrist: a systematic review and meta-analysis. Legal medicine, 13(3), 120-133.

[3] Greulich, W. W., & Pyle, S. I. (1959). Radiographic atlas of skeletal development of the hand and wrist (2nd edition). Stanford Univ. Press.

[4] Bayley, N., & Pinneau, S. R. (1952). Tables for predicting adult height from skeletal age: revised for use with the Greulich-Pyle hand standards. The Journal of Pediatrics, 40(4), 423–441.

[5] IB Lab Clinical Validation study

[6] Halabi SS, Prevedello LM, Kalpathy-Cramer J, Mamonov AB, Bilbily A, Cicero M, Pan I, Pereira LA, Sousa RT, Abdala N, Kitamura FC, Thodberg HH, Chen L, Shih G, Andriole K, Kohli MD, Erickson BJ, Flanders AE. The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 2019 Feb;290(2):498-503. doi: 10.1148/radiol.2018180736. Epub 2018 Nov 27. PMID: 30480490; PMCID: PMC6358027.

What our customers say:

Jack Farr - Orthopedist

ImageBiopsy AI software is highly accurate and efficient within our PACS system, which provides valuable information on the status of the knee along the continuum of chondrosis to arthrosis.

Jack Farr, MD
Orthopedist

The integration of the AI ​​solutions by ImageBiopsy Lab into our RIS and PACS is easy and well done. It is fun to work with and the clarity of the visualized report is an ideal support for our patient consultation.

Jochen Mueller-Stromberg, MD
Orthopedist

AI-based solutions reduce the amount of work and the findings become more accurate. An objective value is given which can be used both for monitoring and forecasting the progress. We offer something that others don’t have.

Michael Gruber, MD
Radiologist

Exact diagnosis and reproducible follow-up exams are indispensable for a successful osteoarthritis therapy. Software-based methods can assist the physician in the therapy management and adjustment process.

Prof. Jochen Hofstätter, MD
Orthopedist