IB Lab Lama

Zero-click analysis of knee and full-leg X-rays supporting diagnosis, surgical planning and post-operative follow-up

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Problems

Nearly 375 million people worldwide live with knee osteoarthritis¹, one of the leading causes of disability in older adults. Precise measurements of leg alignment and leg length are important for diagnosis, surgical planning and post-operative assessment. Yet current imaging workflows are time-consuming and subject to reader variability. Full-leg radiographs are the clinical standard for measuring leg alignment but they often require taking multiple images and stitched them together. Even slight rotation of the leg during imaging can affect measurement accuracy and may require repeat X-rays.

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Time-consuming manual measurement.

Full-leg imaging is slow and costly.

Patient rotation compromises accuracy.

Solutions

IB Lab Lama analyzes full-leg radiographs in under 20 seconds2* and delivers 20+ features from long-leg, knee and lateral knee radiographs. It streamlines clinical workflows by predicting the leg axis directly from AP knee X-rays — giving an alternative to tedious full-leg imaging — while automatically detecting and correcting for patient rotation** to support accurate planning and documentation.

20+ Features

On 3 different view positions.

Leg axis prediction from AP knee radiographs alone.

IB Lab Lama 3.0 predicts leg axis parameters directly from an AP knee X-ray — giving an alternative to long-leg radiographs. This reduces acquisition time, potential stitching errors and lowers the imaging burden without compromising clinical information.

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Automated rotation correction.

IB Lab Lama 3.0 detects and corrects for patient rotation during image acquisition and provides corrected values within an additional report.**

13.5

sec

Reading time with AI on long-leg radiographs vs. ~135 sec manual2*

10

×

Faster than manual measurement2*

25

+

Peer-reviewed publications3

Product description

Leg Length Assessment

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  • Femur Length
  • Tibia Length
  • Full Leg Length
  • Leg Length Discrepancy (LLD)

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Leg Alignment Assessment

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  • Long-leg radiograph:
    •  Hip-Knee-Ankle Angle (HKA) (not in pediatric patients)
    • Joint Line Convergence Angle (JLCA)
    •  Mechanical Axis Deviation (MAD)
    • Anatomical-Mechanical Angle (AMA) (not in pediatric patients)
    • Mechanical Lateral Proximal Femoral Angle (mLPFA)
    • Mechanical Lateral Distal Femoral Angle (mLDFA)
    • Mechanical Medial Proximal Tibial Angle (mMPTA)
    •  Mechanical Lateral Distal Tibial Angle (mLDTA)
    • CPAK Classification
    • Lower Limb Rotation Angle
    • Rotational Correction of lower limb alignment parameters (HKA, AMA, mLPFA, mLDFA, mMPTA, mLDTA, CPAK) - long leg radiographs

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  • Knee Radiograph:
    • Leg Axis Prediction from knee radiographs (HKA, AMA, mLDFA, mMPTA)
    • JLCA on knee radiographs
    • Lower Limb Rotation Angle

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  • Lateral knee Radiograph:
    • Posterior Tibial Slope (PTS)

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IB Lab Lama 3.0 Long leg report

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IB Lab Lama rotation correction, lateral analysis, and leg axis prediction

Intended use

IB Lab LAMA is a fully-automated AI-driven software device for processing full leg anteroposterior (AP) radiographs and anteroposterior (AP) and lateral (LAT) radiographs of the knee. It is designed to leverage deep-learning-based algorithms to detect anatomical features in order to aid users in the assessment of leg length discrepancy, quantitative lower limb alignment and knee stability parameters. It should not be used in-lieu of full patient evaluation or solely relied upon to make or confirm a diagnosis. All AI-generated measurements and morphological insights must be reviewed by a healthcare professional trained in radiology.  IB Lab Lama is intended to be used by healthcare professionals trained in radiology.  IB Lab Lama  is intended to be used on patients of 8+ years (Full Leg AP radiographs) or 18+ years (AP and LAT Knee radiographs).

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References
  1. Global burden of knee osteoarthritis from 1990 to 2021. PLOS One. https://doi.org/10.1371/journal.pone.0320115
  2. Mitterer et al. (2023). Archives of Orthopaedic and Trauma Surgery. https://doi.org/10.1007/s00402-023-05151-y
  3. IB Lab Evidence Overview. https://www.imagebiopsy.com/evidence?utm_lang=en
  4. IB Lab Customer Portal. https://support.imagebiopsy.com/portal/en/home
  5. Simon et al. (2021). Skeletal Radiology.
  6. Schwarz et al. (2022). Knee Surgery, Sports Traumatology, Arthroscopy.
  7. Archer et al. (2023). Skeletal Radiology.
  8. Stotter et al. (2023). Knee Surgery, Sports Traumatology, Arthroscopy.
  9. Pagano et al. (2023). Journal of Clinical Medicine.
  10. Keyes et al. (2024). Knee Surgery, Sports Traumatology, Arthroscopy.
  11. Russell et al. (2024). Knee Surgery, Sports Traumatology, Arthroscopy.
  12. Archer et al. (2024). Clinical Imaging.
  13. Van der Lelij et al. (2024). Children.

* Measured with IB Lab Lama 1.04, a previous version of IB Lab Lama 3.0.

** Post-operative rotation correction is currently under development and subject to completion of conformity assessment under the MDR. For the current status, contact IB Lab GmbH or refer to the latest labeling documents in the customer portal at https://support.imagebiopsy.com.

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