IB LabHIPPO uses deep learning technology for automated and precise measurement of hip angles such as Corpus-Collum-Diaphysis (CCD) angle(also known as Neck-Shaft angle) and the Lateral Center-Edge Angle (LCE). On bilateral standing AP hip radiographs, the application supports the medical expert in the detection of the presence or absence of pelvic obliquity.Readings are precise and reading and reporting time can be reduced from 3.5minutes to 30 seconds per image when using IBLab HIPPO .
IB LabHIPPO highlights relevant clinical findings by applying the 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 thePACS system. The AI-results are fed as text into the predefined RIS-template for accelerated reporting. IB Lab HIPPO eases disease progression monitoring by facilitating comparison of radiographic disease parameters over time.
- Acetabular dysplasia
- Femoroacetabular impingement
- Coxa vara
- Coxa valga
- Pelvic obliquity
- Tönnis angle
- Sharp angle
- Extrusion index /femoral head coverage
- Increases patient throughput by automating report workflows
- Enables instant, verifiable decision making in difficult cases
- Reduces effects of inter-rater variability when assessing pelvic morphology
- Facilitates monitoring of disease progression
IB LabHIPPO is a radiological fully-automated image processing software device of either computed (CR) or directly digital (DX)images of the pelvis or hip. On either standing or supine, unilateral orbilateral AP radiographs, IB Lab HIPPO is intended to aid medical professionals in the measurement of the Corpus-Collum Diaphysis (CCD) angle (also known asNeck-Shaft angle), and the Lateral Center-Edge Angle (LCE), Acetabular Index(aka Acetabular Inclination, Tonnis Angle), Acetabular Angle (aka Sharp’sAngle) and the Femoral Head Coverage/Extrusion Index. On bilateral standing AP hip radiographs, IB Lab HIPPO aids in the detection of the presence or absence of pelvic obliquity. It should not be used in-lieu of full patient evaluation or solely relied upon to make or confirm a diagnosis. The system is to be used by trained professionals including, but not limited to, radiologists and orthopedics.
Training and Validation:
Deep learning algorithms trained on over4,000 individual pelvis and hip radiographs. Data from five large longitudinal multi-center datasets in the US and Europe. The AI follows the established radiological workflow: measurement of anatomical distances and angles, recognition of disease symptoms, standardized classification and reporting. Consensus grading of each radiograph:Each detection step is done by an ensemble of three AI-models voting for the best result increasing precision. Automatically detects implants at the hip
- Christof Pabinger, Harold Lothaller,Nicole Portner, Alexander Geissler: Projections of hip arthroplasty in OECD countries up to 2050, HIP International, 2018.
- LCE angle – S. Monazzam et al: Lateral Center-Edge Angle on Conventional Radiography and Computed Tomography. ClinicalOrthopaedics and Related Research 471, no. 7, July 2013. 2233–37.
- LCE, VCA, HNO, alpha, Tönnis, Tönnis OA –J. Carlisle: RELIABILITY OF VARIOUS OBSERVERS IN DETERMINING COMMON RADIOGRAPHIC PARAMETERS OF ADULT HIP STRUCTURAL ANATOMY, The Iowa OrthopaedicJournal 31, 2011. 52–58
- IB Lab US Market Survey 2020
- IB Lab HIPPO clinical validation study
- IB Lab US Market Study 2020