Magnetic resonance imaging (MRI) is a valuable tool for evaluating musculoskeletal disease
as it offers a range of image contrasts that are sensitive to underlying tissue biochemical …

Purpose To develop a machine-learning model to predict clinical outcomes after medial
patellofemoral ligament reconstruction (MPFLR) and identify the important predictive …

Purpose To evaluate predicting factors for patient-reported outcomes and revision
interventions following surgical treatment of patients with patellofemoral instability. Methods …

Purpose Automatic muscle segmentation is critical for advancing our understanding of
human physiology, biomechanics, and musculoskeletal pathologies, as it allows for timely …

A correlation between patellar kinematics and anterior knee pain is widely accepted.
However, there is no consensus on how they are connected or what profile of patellar …

Abstract Dynamic Computed Tomography (CT) emerges as a pivotal imaging modality for
the assessment of knee joint kinematics. However, integrating dynamic CT into clinical …

In many aspects of human research, capturing multiple measures from the same participant
is common due to the symmetric nature of the human body (eg, two eyes, ten fingers, two …

Background: An alteration in the force distribution among quadriceps heads is one possible
underlying mechanism of patellofemoral pain. However, this hypothesis cannot be directly …

Knee osteoarthritis (KOA) was characterized by pain and limited joint function, which
seriously affected the quality of life of patients. The vast majority of KOA was closely related …

Purpose: Patellofemoral pain syndrome is a common orthopedic trauma among runners. It is
unclear whether patellofemoral joint stress (PFJS) is the highest (or lowest) when the knee …