about
Accuracy of Functional and Predictive Methods to Calculate the Hip Joint Center in Young Non-pathologic Asymptomatic Adults with Dual Fluoroscopy as a Reference Standard.Soft tissue artifact causes significant errors in the calculation of joint angles and range of motion at the hip.Quantitative comparison of cortical bone thickness using correspondence-based shape modeling in patients with cam femoroacetabular impingement.Modified False-Profile Radiograph of the Hip Provides Better Visualization of the Anterosuperior Femoral Head-Neck Junction.In Vivo Measurements of the Ischiofemoral Space in Recreationally Active Participants During Dynamic Activities: A High-Speed Dual Fluoroscopy Study.Does Removal of Subchondral Cortical Bone Provide Sufficient Resection Depth for Treatment of Cam Femoroacetabular Impingement?Hip rotation during standing and dynamic activities and the compensatory effect of femoral anteversion: An in-vivo analysis of asymptomatic young adults using three-dimensional computed tomography models and dual fluoroscopy.Novel model for the induction of postnatal murine hip deformityThree-dimensional femoral head coverage in the standing position represents that measured in vivo during gaitIn Vivo Pelvic and Hip Joint Kinematics in Patients With Cam Femoroacetabular Impingement Syndrome: A Dual Fluoroscopy StudyAssessment of Acetabular Morphology Using the Acetabular Anterior Center-Edge Angle on Modified False-Profile RadiographsWhich Two-dimensional Radiographic Measurements of Cam Femoroacetabular Impingement Best Describe the Three-dimensional Shape of the Proximal Femur?Do Your Routine Radiographs to Diagnose Cam Femoroacetabular Impingement Visualize the Region of the Femoral Head-Neck Junction You Intended?The effect of using different coordinate systems on in-vivo hip angles can be estimated from computed tomography images
P50
Q36971497-408BD381-4C48-47A5-AB8A-3C44498B73A5Q38687287-3131FAF1-3A7A-454F-B40F-CD292710D03CQ39243820-00BDD93E-0004-4AAC-BB8A-CA7282179C4EQ47230541-F2C79AF7-03C0-4D22-A771-E7033EB08A30Q47707820-ECF4A53E-0686-4FFC-978A-8F4F9C7F553CQ48619916-C3E57EC3-08C0-4F37-8C82-581EE194C9A8Q50137263-B4C4F5D4-4F8B-44EA-8DC9-231A3988C7B0Q59942491-05F78E1C-6DD4-4C50-B2F9-5C4AF0E8B6B0Q90995782-62B8484B-DF82-4CDF-AA4E-FC981E87074DQ91142510-E195E40B-D5A9-4C8F-B106-9E37BD68D778Q91170448-248C9199-3CC4-4FDD-B59D-F7E146B1CDDEQ91283466-B6F7AF74-D4F0-4F6B-96A3-9C7760A627FAQ91896230-F407423B-DE2D-41A6-A405-36B8C56223B3Q93019966-34911802-6841-4C42-B3B5-D98FDA9A7140
P50
description
researcher
@en
name
Penny R Atkins
@en
type
label
Penny R Atkins
@en
prefLabel
Penny R Atkins
@en
P31
P496
0000-0001-9930-2604