Objective This study examined patients with greater trochanteric pain syndrome (GTPS) to determine the prevalence of gluteus medius pathology by utilizing magnetic resonance imaging (MRI), and to evaluate the presence of Trendelenburg's sign, pain on resisted hip abduction, and pain on resisted hip internal rotation as predictors of a gluteus medius tear in this group of patients. Methods Twenty‐four subjects with clinical features consistent with GTPS were recruited. A standard physical assessment was performed at study entry, including assessment of the 3 specific physical signs. Following this initial assessment, MRI of the affected hip was performed. A 1.5T whole body MRI system was utilized, with T1 and T2 fast spin‐echo sequences performed in the coronal and axial planes. All MR images were reviewed in random order by a single radiologist. In 12 patients, the 3 physical signs were assessed at study entry and at 2 months by the same observer and the intraobserver reliability for each of the signs was calculated. Results All subjects were women (median age 58 years, range 36–75 years). The median duration of symptoms was 12 months (range 12–60 months). MRI findings were as follows: 11 patients (45.8%) had a gluteus medius tear, 15 patients (62.5%) had gluteus medius tendinitis (pure tendinitis in 9 patients and tendinitis with a tear in 6 patients), 2 patients had trochanteric bursal distension, and 1 patient had avascular necrosis of the femoral head. Trendelenburg's sign was the most accurate of the 3 physical signs in predicting a tendon tear, with a sensitivity of 72.7% and a specificity of 76.9%. Moreover, Trendelenburg's sign was the most reliable measure, with a calculated intraobserver kappa of 0.676 (95% confidence interval 0.270–1.08). Conclusion The results support the hypothesis that gluteus medius tendon pathology is important in defining GTPS. In this series, trochanteric bursal distension was uncommon and did not occur in the absence of gluteus medius pathology. The physical findings suggest that Trendelenburg's sign is the most sensitive and specific physical sign for the detection of gluteus medius tears, with an acceptable intraobserver reliability. Further delineation with MRI, especially in patients with a positive Trendelenburg's sign, is recommended prior to any consideration of surgery in this group of patients. Finally, with the pathology of this condition defined, the challenge will be to devise and assess, by randomized controlled trial, an appropriate treatment strategy for this group of patients.

Objective. The primary aim of this prospective 2-year study was to explain the wide variability in joint damage progression in patients with rheumatoid arthritis (RA) from measures of pathologic changes in the synovial membrane.Methods. Patients underwent clinical measurements and joint damage assessments by magnetic resonance imaging (MRI) and radiography at enrollment and at year 2.

Euthymic bipolar patients are perhaps constrained in their ability to engage affective processing. Diminished ventral prefrontal cortex activation corroborates previous reports of a potential trait deficit, suggesting that 'all is not well in euthymia', although the effects of medication cannot be overlooked.

ObjectiveTo develop and externally validate a predictive model for detection of significant prostate cancer. Patients and MethodsDevelopment of the model was based on a prospective cohort including 393 men who underwent multiparametric magnetic resonance imaging (mpMRI) before biopsy. External validity of the model was then examined retrospectively in 198 men from a separate institution whom underwent mpMRI followed by biopsy for abnormal prostate-specific antigen (PSA) level or digital rectal examination (DRE). A model was developed with age, PSA level, DRE, prostate volume, previous biopsy, and Prostate Imaging Reporting and Data System (PIRADS) score, as predictors for significant prostate cancer (Gleason 7 with >5% grade 4, ≥20% cores positive or ≥7 mm of cancer in any core). Probability was studied via logistic regression. Discriminatory performance was quantified by concordance statistics and internally validated with bootstrap resampling. ResultsIn all, 393 men had complete data and 149 (37.9%) had significant prostate cancer. While the variable model had good accuracy in predicting significant prostate cancer, area under the curve (AUC) of 0.80, the advanced model (incorporating mpMRI) had a significantly higher AUC of 0.88 (P < 0.001). The model was well calibrated in internal and external validation. Decision analysis showed that use of the advanced model in practice would improve biopsy outcome predictions. Clinical application of the model would reduce 28% of biopsies, whilst missing 2.6% significant prostate cancer. ConclusionsIndividualised risk assessment of significant prostate cancer using a predictive model that incorporates mpMRI PIRADS score and clinical data allows a considerable reduction in unnecessary biopsies and reduction of the risk of overdetection of insignificant prostate cancer at the cost of a very small increase in the number of significant cancers missed.

Multiparametric magnetic resonance imaging reported by expert radiologists achieved an excellent negative predictive value and a moderate positive predictive value for significant prostate cancer at 1.5 and 3.0 Tesla.