833 resultados para Knee osteoarthritis


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Aim of study: As part of a Cochrane review of viscosupplementation in knee OA, randomised controlled trials (RCT) were reviewed to evaluate evidence for the efficacy of viscosupplementation with Hylan G-F 20 compared to placebo. Methods: Electronic searches were conducted of MEDLINE, EMBASE, Premedline, Current Contents, and CENTRAL. Human, RCT involving Hylan G-F 20 compared to placebo, published prior to 1Q2004, were included. Trials were selected and data extracted by two independent reviewers. Methodological quality was assessed with the Jadad criteria by two reviewers. Data on the OARSI and OMERACT core set clinical outcome measures were extracted where possible. Weighted mean difference (WMD), based on post-test scores, and 95% confidence intervals (CI) were calculated for continuous outcome measures and relative risk (RR) for dichotomous outcome measures. Results: Seven RCT met the inclusion criteria. Median methodological quality was 4 (range 1–5). A further two studies were only reported in abstract form (Jadad score Z 1) and contained insufficient extractable data for inclusion in the analysis. Nine RCT, which compared Hylan G-F 20 to other interventions such as intra-articular corticosteroid, physiotherapy, NSAID, appropriate care, intra-articular gaseous oxygen and other hyaluronan, are not reported here. Twenty-three studies failed to meet inclusion criteria and were excluded. Hylan G-F 20 was more efficacious than placebo at 1–4 weeks post-injection for pain on weight-bearing WMD (random effects [RE]) 13 mm on a 0–100 mm VAS (P Z 0.002) based on 6 RCT. This difference was even greater at 5–13 weeks post-injection, 22 m (RE) (P Z 0.001) based on 5 RCT, and at 14–6 weeks postinjection, 21 m (RE) (P Z 0.006) based on 4 RCT. Hylan G-F 20 was more efficacious than placebo at 1–4 weeks post-injection for pain at night, WMD 7 mm on a 0–100 mm VAS (P Z 0.003) based on 5 RCT. This difference was even greater at 5–13 weeks post-injection, 11 mm (P Z 0.008) based on 4 RCT, and at 14–26 weeks post-injection, 17 mm (P ! 0.00001) based on 3 RCT. There was no significant difference (WMD 8 mm) between Hylan G-F 20 C oral placebo and arthrocentesis C oral placebo at 5–13 weeks post-injection for WOMAC Pain, but Hylan G-F 20 C oral placebo was more efficacious than arthrocentesis C oral placebo for WOMAC Function, WMD 9 mm on a 0–100 mm VAS (P Z 0.01) (Dickson, 2001). Hylan G-F 20 was more effective than placebo at 1–4 weeks postinjection for the variable designed treatment efficacy, WMD 22 mm on a 0–100 mm VAS (P ! 0.00001) based on improvement in 4 RCT. This difference was even greater at 5–13 weeks post injection, 35 mm (P ! 0.00001). Conclusions: Evidence from this updated Cochrane review supports the superior efficacy of Hylan G-F 20 compared to placebo on weight-bearing pain, night pain, function and treatment efficacy in the treatment of knee OA.

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Aim of study: The goal of this post-hoc analysis was to examine the difference between treatment groups when varying the target response level from at least a 20% improvement from baseline, to at least 50% and 70% improvements in Phase III studies of rofecoxib in patients with osteoarthritis. Methods: The analysis focused on results from two 6-week, placebo-controlled, ibuprofen-comparator, Phase III osteoarthritis studies. These studies employed a flare design requiring a minimum level of symptoms at entry following discontinuation of prior analgesics. Two definitions of ‘‘patient improved’’ from baseline were used: (1) WOMAC-P: a reduction in the WOMAC pain score and (2) WOMAC-PFS: a reduction in the WOMAC pain score and either a reduction in the WOMAC stiffness or function score. The improvement target was increased from 20% to 50% to 70%, relative to baseline, to investigate how the increase affects the ability to detect the differences between treatment groups. Analyses were conducted on the average and last of all measurements collected during a 6-week treatment period. Results: In the ibuprofen-comparator studies, 1545 patients were randomized to placebo, rofecoxib 12.5 mg once daily, rofecoxib 25 mg once daily, and ibuprofen 800 mg three times daily in a 1:3:3:3 ratio. The percentages of patients who met the improvement targets decrease as the target increases from 20% to 50% to 70%. There were meaningful differences between the active treatment and placebo that were inversely related to the improvement target. For example, there was a 31 (P ! 0.001), 21 (P ! 0.001), and 12 (P ! 0.001) percentage-point difference between rofecoxib 25 mg and placebo for the 20%, 50%, and 70% targets for WOMAC-P. For WOMAC-PFS, the differences between rofecoxib 25 mg and placebo were 33 (P ! 0.001), 18 (P ! 0.001), and 9 (P ! 0.01) percentage points for the 20%, 50%, and 70% improvement targets. Conclusions: Meaningful differences between active treatments and placebo were detected at all three response levels associated with the WOMAC-P and WOMAC-PFS endpoints. The differences between groups were more dramatic at the 20% and 50% response levels. The WOMAC (20,50,70)-P and WOMAC (20,50,70)-PFS endpoints further confirm, at an individual patient level, the clinical benefit of rofecoxib in the treatment of osteoarthritis that was previously reported as a difference in means.

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Deformable models are a highly accurate and flexible approach to segmenting structures in medical images. The primary drawback of deformable models is that they are sensitive to initialisation, with accurate and robust results often requiring initialisation close to the true object in the image. Automatically obtaining a good initialisation is problematic for many structures in the body. The cartilages of the knee are a thin elastic material that cover the ends of the bone, absorbing shock and allowing smooth movement. The degeneration of these cartilages characterize the progression of osteoarthritis. The state of the art in the segmentation of the cartilage are 2D semi-automated algorithms. These algorithms require significant time and supervison by a clinical expert, so the development of an automatic segmentation algorithm for the cartilages is an important clinical goal. In this paper we present an approach towards this goal that allows us to automatically providing a good initialisation for deformable models of the patella cartilage, by utilising the strong spatial relationship of the cartilage to the underlying bone.

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This paper presents an automated segmentation approach for MR images of the knee bones. The bones are the first stage of a segmentation system for the knee, primarily aimed at the automated segmentation of the cartilages. The segmentation is performed using 3D active shape models (ASM), which are initialized using an affine registration to an atlas. The 3D ASMs of the bones are created automatically using a point distribution model optimization scheme. The accuracy and robustness of the segmentation approach was experimentally validated using an MR database of fat suppressed spoiled gradient recall images.

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