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LAMA™

Automated Assessment of Long Leg Radiographs

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Problems

Leg length discrepancies and lower limb malalignment are common musculoskeletal conditions, affecting approximately 70% to 90% of the population [1]. These conditions often cause biomechanical imbalances, unilateral pain, and may contribute to degenerative changes in the hips, the spine, and the knees. Resulting disorders, such as osteoarthritis, may require complex surgical interventions, including osteotomies or joint replacements. [2]

Prevalence of Osteoarthritis is increasing [3]

Manual assessment is time consuming [4]

High inter-observer variability [2]

Solutions

LAMA™ improves the reliability and accuracy of radiographic assessments for lower limb alignment (LLA) and leg length discrepancy (LLD). The software significantly reduces reading times for long-leg radiographs (LLRs) and delivers expert-level results with consistent precision. These standardized measurements support treatment planning and surgery-related decision-making.

Expert-level accuracy

for reliable radiographic assessments

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Quick results

through automated measurements

Decision support

for treatment planning and surgical evaluation

90

%

Up to 90% of the population have leg length discrepancies [6]

<1

Min

IB Lab LAMA delivers instant results

0.99

ICC

for hip-knee-angle (HKA), indicating excellent measurement reliability

Product description

LAMA™ uses deep learning technology for automated and precise measurement of quantitative parameters for the assessment of lower limb alignment (LLA) and leg length discrepancy (LLD):

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Findings

Leg Length Assessment:

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

Leg Alignment Assessment:

  • HKA (Hip-knee-ankle Angle)
  • AMA (Anatomical-Mechanical Axis Angle)
  • MAD (Mechanical Axis Deviation)
  • JLCA (Joint Line Convergence Angle)
  • mLPFA (mechanical lateral proximal femur angle)
  • mLDFA (mechanical lateral distal femur angle)
  • mMPTA (mechanical medial proximal tibia angle)
  • mLDTA (mechanical lateral distal tibia angle)
  • CPAK (Coronal Plane Alignment of the Knee)
    • aHKA (arithmetic Hip-Knee-Ankle Angle)
    • JLO (Joint Line Obliquity)

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Intended use

IB Lab LAMA™ is a fully-automated radiological image processing software device intended to aid users in the estimation of leg length discrepancy and quantitative lower limb alignment parameters on uni- and bilateral AP full leg radiographs. It should not be used in-lieu of full patient evaluation or solely relied upon to make or confirm a diagnosis. IB Lab LAMA is intended to be used on patients of 8+ years with suspicion or diagnosis of leg-length discrepancy and/or lower limb malalignment. IB Lab LAMA is intended to be used by healthcare professionals trained in radiology.

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References
  1. Khamis, S., & Carmeli, E. (2017). A new concept for measuring leg length discrepancy. Journal of Orthopaedics, 14(2), 276.
  2. Vaishya, R., Vijay, V., Birla, V. P., & Agarwal, A. K. (2016). Inter-observer variability and its correlation to experience in measurement of lower limb mechanical axis on long leg radiographs. Journal of clinical orthopaedics and trauma, 7(4), 260-264.
  3. Long H, Liu Q, Yin H, Wang K, Diao N, Zhang Y, Lin J, Guo A. Prevalence Trends of Site-Specific Osteoarthritis From 1990 to 2019: Findings From the Global Burden of Disease Study 2019. Arthritis Rheumatol. 2022 Jul;74(7):1172-1183. doi: 10.1002/art.42089. Epub 2022 Jun 2. PMID: 35233975; PMCID: PMC9543105.
  4. Archer H, Reine S, Xia S, Vazquez LC, Ashikyan O, Pezeshk P, Kohli A, Xi Y, Wells JE, Hummer A, Difranco M, Chhabra A. Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination. Skeletal Radiol. 2024 May;53(5):923-933. doi: 10.1007/s00256-023-04502-5. Epub 2023 Nov 15. PMID: 37964028.
  5. Other references (not used in the text):
  6. Hefti F, Pediatric orthopedics in practice. Berlin Heidelberg: Springer; 2007. 781 p. ISBN 978-3-540-69963-7
  7. Paley D. Principles of Deformity Correction. Berlin, Heidelberg: Springer Berlin Heidelberg; 2002. ISBN 978-3-642-63953-1 978-3-642-59373-4
  8. MacDessi SJ, Griffiths-Jones W, Harris IA, Bellemans J, Chen DB. Coronal Plane Alignment of the Knee (CPAK) classification. Bone Joint J. 2021 Feb;103-B(2):329-337. doi: 10.1302/0301-620X.103B2.BJJ-2020-1050.R1. PMID: 33517740; PMCID: PMC7954147.
  9. Waldt S, Eiber M, Wörtler K. Messverfahren und Klassifikationen in der muskuloskelettalen Radiologie. Thieme, 2011. ISBN 9783131497215, DOI: 10.1055/b-004-134458

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