Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort

Osteoarthritis

(2019) David J Hunter et al.   LANCET

Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

(2019) Akshay S. Chaudhari et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Structural progressor thresholds of femorotibial cartilage change over 1 to 4-years for different MRI orientations and contrasts – data from the osteoarthritis initiative

(2019) W. Wirth et al.   OSTEOARTHRITIS AND CARTILAGE

Baseline structural tissue pathology is not strongly associated with longitudinal change in transverse relaxation time (T2) in knees without osteoarthritis

(2019) Frank W. Roemer et al.   EUROPEAN JOURNAL OF RADIOLOGY

Effect of Intra-Articular Sprifermin vs Placebo on Femorotibial Joint Cartilage Thickness in Patients With Osteoarthritis

(2019) Marc C. Hochberg et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

(2019) Jana Kemnitz et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Deep convolutional neural network for segmentation of knee joint anatomy

(2018) Zhaoye Zhou et al.   MAGNETIC RESONANCE IN MEDICINE

Six months’ treatment with MIV-711, a novel Cathepsin K inhibitor induces osteoarthritis structure modification: results from a randomized double-blind placebo-controlled phase IIA trial

(2018) P.G. Conaghan et al.   OSTEOARTHRITIS AND CARTILAGE

Quantitative cartilage thickness change in radiographically normal knees with and without OA risk factors – data from the OAI

(2018) F. Eckstein et al.   OSTEOARTHRITIS AND CARTILAGE

Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry

(2018) Berk Norman et al.   RADIOLOGY

Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

(2018) Felix Ambellan et al.   MEDICAL IMAGE ANALYSIS

Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

(2017) Theo Vos et al.   LANCET

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging

(2017) Fang Liu et al.   MAGNETIC RESONANCE IN MEDICINE

Segmentation of joint and musculoskeletal tissue in the study of arthritis

(2016) Valentina Pedoia et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis

(2015) D.J. Hunter et al.   OSTEOARTHRITIS AND CARTILAGE

Plain radiography or magnetic resonance imaging (MRI): Which is better in assessing outcome in clinical trials of disease-modifying osteoarthritis drugs? Summary of a debate held at the World Congress of Osteoarthritis 2014

(2015) Felix Eckstein et al.   SEMINARS IN ARTHRITIS AND RHEUMATISM

Imaging of cartilage and bone: promises and pitfalls in clinical trials of osteoarthritis

(2014) F. Eckstein et al.   OSTEOARTHRITIS AND CARTILAGE

Effect of Vitamin D Supplementation on Progression of Knee Pain and Cartilage Volume Loss in Patients With Symptomatic Osteoarthritis

(2013) Timothy McAlindon et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Unsupervised Segmentation and Quantification of Anatomical Knee Features: Data From the Osteoarthritis Initiative

(2012) José G. Tamez-Pena et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Recent advances in osteoarthritis imaging—the Osteoarthritis Initiative

(2012) Felix Eckstein et al.   Nature Reviews Rheumatology

Why the ACR?

(2010) Stanley B. Cohen   ARTHRITIS AND RHEUMATISM

Reference values and Z-scores for subregional femorotibial cartilage thickness – results from a large population-based sample (Framingham) and comparison with the non-exposed Osteoarthritis Initiative reference cohort

(2010) F. Eckstein et al.   OSTEOARTHRITIS AND CARTILAGE

Magnetic resonance imaging-based cartilage loss in painful contralateral knees with and without radiographic joint space narrowing: Data from the osteoarthritis initiative

(2009) Felix Eckstein et al.   ARTHRITIS AND RHEUMATISM

Magnetic resonance image segmentation using semi-automated software for quantification of knee articular cartilage—initial evaluation of a technique for paired scans

(2009) M. H. Brem et al.   SKELETAL RADIOLOGY

A Technique for Regional Analysis of Femorotibial Cartilage Thickness Based on Quantitative Magnetic Resonance Imaging

(2008) W. Wirth et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The osteoarthritis initiative: report on the design rationale for the magnetic resonance imaging protocol for the knee

(2008) C.G. Peterfy et al.   OSTEOARTHRITIS AND CARTILAGE