IB Lab LAMATM
Leg Angle Measurement Assistant
Leg or lower extremity length discrepancy are common deformities affecting most of the adult and pediatric population. When left undetected or measured imprecisely, patients suffer from functional and biomechanical limitations as well as cosmetic impairments.
IB Lab’s diagnostic support tool LAMA uses deep learning technology for automated and precise measuring of leg geometry to evaluate lower limb deformities.
IB Lab LAMATM
Leg Angle Measurement Assistant
For measurement of leg length discrepancy and detection of knee alignment deformities.
12 radiological findings and measurements including:
genu varum, genu valgum, lower extremity length discrepancy, anatomical angles according to Paley, mechanical angles according to Paley, mechanical axis deviation (MAD), hip knee angle, joint line convergence angle, femur length, tibia length
NEW: AMA angle
This product is CE-certified.
Not for clinical use in the USA.
Leg or lower extremity length discrepancy are common deformities affecting 70-90% of the adult and pediatric population . When left undetected or measured imprecisely, patients suffer from functional and biomechanical limitations as well as cosmetic impairments. Even minor deviations can cause imbalances and unilateral pain across the entire body and may trigger passive structural and degenerative changes in hip, spine, knee and muscles. The resulting degenerative diseases led to 1.5 million total knee replacements (TKA) in OECD countries in 2011, and knee replacement rates increased by 40% between 2007 and 2017 .
Accurate, reliable measurements of lower extremity geometry require expert training on established protocols, often requiring specialized software. An orthopedic surgeon spends over 8 minutes per reading of a single full-leg radiograph . Surgeons new to complex measurements and procedures can see revision rates 3 times higher than normal  – lack of training is a key reason for adverse events .
IB Lab’s diagnostic support tool LAMA uses deep learning technology for automated and precise measuring of leg geometry to evaluate lower limb deformities. LAMA aids in the detection of genu varum/valgum by measuring of mechanical axis deviation (MAD) and detection of leg length discrepancy by comparing right and left legs on bilateral images. Detailed analysis of mechanical and anatomical angles according to Paley allows informed decision making on next steps in treating the patient. LAMA’s measurements of HKA, JLCA and MAD are precise to within 0.3°, 0.8° and 1.1 mm and leg length discrepancy is accurate to 0.2 cm of expert readers augmenting reading results especially of non-experts. Reading time is brought down from 8 minutes to under 60 seconds needed for calculation .
LAMA highlights relevant clinical findings by applying latest international medical standards to enable timely and accurate decision making. The findings are summarized in a visual output report, attached to the original x-ray image and saved automatically in the PACS system. The AI-results are fed as text into your pre-defined RIS-template for accelerated reporting. The AI facilitates monitoring of disease progression by facilitating comparison of radiographic disease parameters over time. See how it works.
- Quicker pre-selection by instantly triaging normal and abnormal cases
- Increases workflow efficiency by saving reading and reporting time
- Enables non-experts providing precise results for measuring the lower extremity geometry
- Reduces the risk of inter-rater variability for reading long leg radiographs
Training & Validation
- AI is trained on over 10,000 individual knee, hip and full leg radiographs
Data from five large longitudinal multi-center datasets in the US and Europe
- AI based on Deep Learning to automatically recognize and localize anatomically relevant landmarks on the hip, knee and ankle.
 Gary A Knutson: Anatomic and functional leg-length inequality: A review and recommendation for clinical decision-making. Part I, anatomic leg-length inequality: prevalence, magnitude, effects and clinical significance, Chiropractic & Osteopathy, 2005.
 IB Lab LAMA Clinical Validation study
 IB Lab US Market Survey 2020
- Zampogna, Biagio, Sebastiano Vasta, Annunziato Amendola, Bastian Uribe-Echevarria Marbach, Yubo Gao, Rocco Papalia, and Vincenzo Denaro: Assessing Lower Limb Alignment: Comparison of Standard Knee Xray vs Long Leg View, The Iowa Orthopaedic Journal 35, 2015. 49–54.
- Cooke, T. Derek V., Elizabeth A. Sled, and R. Allan Scudamore: Frontal Plane Knee Alignment: A Call for Standardized Measurement, The Journal of Rheumatology 34, no. 9, September 1, 2007. 1796–180.
- Doll, Leonie Christin: Die Wertigkeit der Ganzbeinstandaufnahme zur präoperativen Planung von Korrekturosteotomien, Universität Ulm, Medizinische Fakultät, 2014.
- Matsumoto, T., M. Hashimura, K. Takayama, K. Ishida, Y. Kawakami, T. Matsuzaki, N. Nakano, T. Matsushita, R. Kuroda, and M. Kurosaka: A Radiographic Analysis of Alignment of the Lower Extremities – Initiation and Progression of Varus-Type Knee Osteoarthritis, Osteoarthritis and Cartilage 23, no. 2, February 1, 2015. 217–23.
- McDaniel, G., K. L. Mitchell, C. Charles, and V. B. Kraus: A Comparison of Five Approaches to Measurement of Anatomic Knee Alignment from Radiographs, Osteoarthritis and Cartilage 18, no. 2, February 1, 2010. 273–77.
- Iranpour-Boroujeni, T., J. Li, J. A. Lynch, M. Nevitt, and J. Duryea: A New Method to Measure Anatomic Knee Alignment for Large Studies of OA: Data from the Osteoarthritis Initiative, Osteoarthritis and Cartilage 22, no. 10, October 1, 2014. 1668–74.
- Groningen, B. van, J. W. A. M. den Teuling, S. Houterman, and R. P. A. Janssen: Femoral Mechanical–Anatomical Angle Measurements in Total Knee Arthroplasty: Analog versus Digital, The Journal of Knee Surgery 28, no. 4, August 2015. 315–20.
- Neil, Michael J., Jereme B. Atupan, Juan Paulo L. Panti, Robert A. J. Massera, and Stewart Howard: Evaluation of Lower Limb Axial Alignment Using Digital Radiography Stitched Films in Pre-Operative Planning for Total Knee Replacement, Journal of Orthopaedics 13, no. 4, December 1, 2016. 285–89.