AIMC Topic: Tibia

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Automatic measurement of lower limb alignment in portable devices based on deep learning for knee osteoarthritis.

Journal of orthopaedic surgery and research Apr 10, 2024
BACKGROUND: For knee osteoarthritis patients, analyzing alignment of lower limbs is essential for therapy, which is currently measured from standing long-leg radiographs of anteroposterior X-ray (LLR) manually. To address the time wasting, poor repro...
Osteoarthritis, Knee Reproducibility of Results Deep Learning Lower Extremity Humans Knee Joint Retrospective Studies Tibia Femur
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Deep-learning based 3D reconstruction of lower limb bones from biplanar radiographs for preoperative osteotomy planning.

International journal of computer assisted radiology and surgery Apr 4, 2024
PURPOSE: Three-dimensional (3D) preoperative planning has become the gold standard for orthopedic surgeries, primarily relying on CT-reconstructed 3D models. However, in contrast to standing radiographs, a CT scan is not part of the standard protocol...
Female Adult Male Humans Tomography, X-Ray Computed Osteotomy Tibia Preoperative Care Middle Aged Deep Learning Imaging, Three-Dimensional
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Automated analysis of knee joint alignment using detailed angular values in long leg radiographs based on deep learning.

Scientific reports Mar 27, 2024
Malalignment in the lower limb structure occurs due to various causes. Accurately evaluating limb alignment in situations where malalignment needs correction is necessary. To create an automated support system to evaluate lower limb alignment by quan...
Retrospective Studies Deep Learning Knee Joint Humans Tibia Osteoarthritis, Knee Leg
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Full-length radiograph based automatic musculoskeletal modeling using convolutional neural network.

Journal of biomechanics Mar 9, 2024
Full-length radiographs contain information from which many anatomical parameters of the pelvis, femur, and tibia may be derived, but only a few anatomical parameters are used for musculoskeletal modeling. This study aimed to develop a fully automati...
Neural Networks, Computer Image Processing, Computer-Assisted Radiography Femur Pelvis Tibia
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Development of a machine learning model for identifying the optimal situation favoring double-level osteotomy over single-level high tibial osteotomy.

The Knee Feb 27, 2024
BACKGROUND: This study aimed to develop a machine learning (ML) model to identify the optimal situation wherein double-level osteotomy (DLO) is favored for severe varus knees by analyzing unfavorable outcomes. This study hypothesized that there are t...
Male Middle Aged Knee Joint Machine Learning Osteotomy Humans Retrospective Studies Tibia Female Osteoarthritis, Knee
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Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 7, 2024
In this study, we investigated the discriminative capacity of knee morphology in automatic detection of osteophytes defined by the Osteoarthritis Research Society International atlas, using X-ray and magnetic resonance imaging (MRI) data. For the X-r...
Osteoarthritis, Knee Osteophyte Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Knee Joint Male Radiography Female Tibia Middle Aged Aged Femur Deep Learning
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A macro-micro FE and ANN framework to assess site-specific bone ingrowth around the porous beaded-coated implant: an example with BOX® tibial implant for total ankle replacement.

Medical & biological engineering & computing Feb 7, 2024
The use of mechanoregulatory schemes based on finite element (FE) analysis for the evaluation of bone ingrowth around porous surfaces is a viable approach but requires significant computational time and effort. The aim of this study is to develop a c...
Arthroplasty, Replacement, Ankle Reproducibility of Results Adult Prostheses and Implants Datasets as Topic Tibia Finite Element Analysis Humans Neural Networks, Computer Female
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[Navigation and robotics-current status and future implications].

Orthopadie (Heidelberg, Germany) Jan 31, 2024
INTRODUCTION: Both navigation systems and robotics enable greater precision in the implantation of an artificial knee joint. However, they do not improve clinical outcomes. We hypothesized that although implantation of a total knee arthroplasty resul...
Robotics Surgery, Computer-Assisted Humans Arthroplasty, Replacement, Knee Knee Joint Tibia
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Mako versus ROSA: comparing surgical accuracy in robotic total knee arthroplasty.

Journal of robotic surgery Jan 17, 2024
There is increasing adoption of robotic surgical technology in Total Knee Arthroplasty. The ROSA® knee system can be used in either image-based mode (using pre-operative calibrated radiographs) or imageless modes (using intra-operative bony registrat...
Robotics Robotic Surgical Procedures Tibia Arthroplasty, Replacement, Knee Humans
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Fully automated assessment of the knee alignment on long leg radiographs following corrective knee osteotomies in patients with valgus or varus deformities.

Archives of orthopaedic and trauma surgery Dec 13, 2023
INTRODUCTION: The assessment of the knee alignment on long leg radiographs (LLR) postoperative to corrective knee osteotomies (CKOs) is highly dependent on the reader's expertise. Artificial Intelligence (AI) algorithms may help automate and standard...
Leg Lower Extremity Knee Joint Humans Retrospective Studies Tibia Osteotomy Artificial Intelligence Reproducibility of Results Femur Male Osteoarthritis, Knee
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