Download the Free Prime PubMed App to your smartphone or tablet.

Available for iPhone or iPad:

Unbound PubMed app for iOS iPhone iPadAlso Available:
Unbound PubMed app for Android

Available for Mac and Windows Desktops and laptops:

Unbound PubMed app for Windows
14,038 results
  • Quantitative DCE-MRI demonstrates increased blood perfusion in Hoffa's fat pad signal abnormalities in knee osteoarthritis, but not in patellofemoral pain. [Journal Article]
    Eur Radiol 2020de Vries BA, van der Heijden RA, … Oei EHG
  • CONCLUSIONS: IPFP T2FS-hyperintense regions are associated with higher perfusion in knee OA patients in contrast to identically appearing regions in PFP patients and controls, pointing towards an inflammatory pathogenesis in OA only.• Morphologically identical appearing T2FS-hyperintense infrapatellar fat pad regions show different perfusion in healthy subjects, subjects with patellofemoral pain, and subjects with knee osteoarthritis. • Elevated DCE-MRI perfusion parameters within T2FS-hyperintense infrapatellar fat pad regions in patients with osteoarthritis suggest an inflammatory pathogenesis in osteoarthritis, but not in patellofemoral pain and healthy subjects.
  • The Role of Arthroscopy in Painful Shoulder Arthroplasty: Is Revision Always Necessary? [Journal Article]
    Arthroscopy 2020Guild T, Kuhn G, … Izquierdo R
  • CONCLUSIONS: Arthroscopy is a viable option to evaluate and treat painful shoulder arthroplasty. We were able to successfully treat 46% (6/13) of patients with arthroscopic procedures preventing the need for revision arthroplasty. Arthroscopic frozen section and culture results had 100% correlation with open frozen section and culture results in patients who had cultures obtained.
  • Assessment of knee pain from MR imaging using a convolutional Siamese network. [Journal Article]
    Eur Radiol 2020Chang GH, Felson DT, … Kolachalama VB
  • CONCLUSIONS: This study demonstrates a proof of principle that deep learning can be applied to assess knee pain from MRI scans.• Our article is the first to leverage a deep learning framework to associate MR images of the knee with knee pain. • We developed a convolutional Siamese network that had the ability to fuse information from multiple two-dimensional (2D) MRI slices from the knee with pain and the contralateral knee of the same individual without pain to predict unilateral knee pain. • Our model achieved an area under curve (AUC) value of 0.808. When individuals who had WOMAC pain scores that were not discordant for knees (pain discordance < 3) were excluded, model performance increased to 0.853.
  • Prospects for Therapies in Osteoarthritis. [Review]
    Calcif Tissue Int 2020Ghouri A, Conaghan PG
  • Osteoarthritis (OA) is a chronic, debilitating disease affecting millions of people worldwide. Management of OA involves pharmacological and non-pharmacological approaches. Conventional pharmacological treatments have limited efficacy and are associated with a number of side-effects, restricting the number of patients who can use them. New pharmacological therapies for managing OA are required an…
  • Non-coding RNAs in Rheumatoid Arthritis: From Bench to Bedside. [Review]
    Front Immunol 2019; 10:3129Wang J, Yan S, … Wang Z
  • Rheumatoid arthritis is a common systemic and autoimmune disease characterized by symmetrical and inflammatory destruction of distal joints. Its primary pathological characters are synovitis and vasculitis. Accumulating studies have implicated the critical role of non-coding RNAs (ncRNAs) in inflammation and autoimmune regulation, primarily including microRNA (miRNA), long non-coding RNA (lncRNA)…
New Search Next