OUT NOW: IB Lab LAMA 2.0

We’ve launched a major upgrade to IB Lab LAMA, our AI solution for the assessment of lower limb alignment (LLA) and leg length discrepancy (LLD).

Advancing Surgical Intelligence: What’s New in IB Lab LAMA 2.0

At ImageBiopsy Lab, we focus on making alignment assessment more standardized, reliable, and fast. With the release of IB Lab LAMA 2.0, clinicians and researchers now benefit from enhanced performance across pre- and post-operative workflows, including complex cases involving implants, osteotomies, and pediatric patients.

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Precision in Pre-Surgical Planning

LAMA 2.0 supports surgeons in pre-operative planning by automatically assessing standing long-leg radiographs to capture key alignment parameters such as HKA, mLDFA, mMPTA, and joint line obliquity. These measurements are essential for understanding deformity patterns and planning procedures like osteotomies or total knee arthroplasty (TKA).

AI-supported tools like LAMA are increasingly important in the move toward personalized alignment strategies. Classification systems such as CPAK have gained traction in helping define individual knee phenotypes — and LAMA provides CPAK classification as a standard output, enabling clinicians to apply phenotype-informed planning directly in their workflow. Combined with objective, reproducible measurements, LAMA supports consistent planning in both clinical routine and research settings.

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Reliable Post-Operative Evaluation — Even in the Presence of Implants

LAMA 2.0 also delivers improved performance in post-operative assessment, including cases with implants or plates following high tibial or distal femoral osteotomies. This allows clinicians to assess alignment consistently, even when metalwork is present — a common limitation in traditional tools.

A recent study by Mitterer et al. used LAMA to assess changes in knee phenotype after surgery and confirmed its utility in tracking post-operative outcomes. In another study, LAMA achieved high reproducibility even when assessing images with metal implants, showing potential for more objective follow-up and quality control after joint-preserving interventions.

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Expanded Support for Pediatric Alignment Tracking

The new version also includes enhanced support for pediatric assessments (≥8 years), enabling accurate measurements in patients with open growth plates. In a recent study, LAMA achieved excellent agreement with expert readers in adolescents — making it a valuable tool for longitudinal tracking and treatment planning in younger patients, from conservative approaches to surgical intervention.

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Why It Matters

Whether you're planning an osteotomy, evaluating post-op alignment, or monitoring growth in pediatric patients, LAMA 2.0 delivers standardized, reproducible results — fast:

Consistent across users and clinical settings
Reliable in native anatomy and post-op implant cases
Efficient in both routine care and research workflows

📽️ Want to see what’s new?

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Or explore the latest publication using LAMA [link to Mitterer et al.]:

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References

_{Budin L, et al.}_{Age and sex-specific differences of the intrafemoral and intratibial morphology using the Citak classification in patients undergoing total knee arthroplasty.}_{Journal of Orthopaedic Research.}_{2025. [In press]}

_{Keyes BJ, et al.}_{Inverse kinematic total knee arthroplasty using conventional instrumentation restores constitutional coronal alignment.}_{The Journal of Arthroplasty.}_{2024;39(1):12–20.}_{https://doi.org/10.1016/j.arth.2023.09.010}

_{Mitterer JA, Huber S, Pallamar M, Simon S, Nolte J, Chiari C, Hofstaetter JG.}_{Changes of Knee Phenotypes Following Osteotomy Around the Knee in Patients with Valgus or Varus Deformities—A Retrospective Cross-Sectional Study.}_{Journal of Clinical Medicine.}_{2025;14(13):4684.}_{https://doi.org/10.3390/jcm14134684}

_{Stotter B, Schwarz M, Tschegg EK, Hofstaetter JG, Schreiner MM.}_{Artificial intelligence-based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility.}_{Scientific Reports.}_{2023;13(1):15400.}_{https://doi.org/10.1038/s41598-023-41889-w}

_{van der Lelij AS, Wenzel F, Roos MR, Reichel H, Schreiner MM.}_{Automated Measurements of Long Leg Radiographs in Pediatric Patients: A Pilot Study to Evaluate an Artificial Intelligence-Based Algorithm.}_Diagnostics._{2024;14(4):659.}_{https://doi.org/10.3390/diagnostics14040659}

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OUT NOW: IB Lab LAMA 2.0

We’ve launched a major upgrade to IB Lab LAMA, our AI solution for the assessment of lower limb alignment (LLA) and leg length discrepancy (LLD).

OUT NOW: IB Lab LAMA 2.0

We’ve launched a major upgrade to IB Lab LAMA, our AI solution for the assessment of lower limb alignment (LLA) and leg length discrepancy (LLD).