Massage for rehabilitation after total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials.

OBJECTIVE: This study aimed to evaluate the effectiveness of massage for postoperative rehabilitation after total knee arthroplasty (TKA). DATA SOURCES: The PubMed, Web of Science, EMBASE, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases were systematically searched from inception to May 2024. STUDY SELECTION: Any randomized controlled trials on the use of massage for postoperative TKA rehabilitation were included. DATA EXTRACTION: A meta-analysis of outcomes, including postoperative pain, knee range of motion (ROM), postoperative D-dimer levels, and length of hospital stay, was performed. The Cochrane Risk of Bias Assessment Tool was used to assess the risk of bias, and the data for each included study were extracted independently by two researchers. DATA SYNTHESIS: Eleven randomized controlled clinical trials with 940 subjects were included. The results showed that compared with the control group, the massage group experienced more significant pain relief on the 7th, 14th and 21st days after the operation. Moreover, the improvement in knee ROM was more pronounced on postoperative days 7 and 14. In addition, the massage group reported fewer adverse events. However, there was no statistically significant difference in the reduction in postoperative D-dimer levels between the patients and controls. Subgroup analysis revealed that massage shortened the length of hospital stay for postoperative patients in China but not significantly for patients in other regions. Nevertheless, the heterogeneity of the studies was large. CONCLUSIONS: Increased massage treatment was more effective at alleviating pain and improving knee ROM in early post-TKA patients. However, massage did not perform better in reducing D-dimer levels in patients after TKA. Based on the current evidence, massage can be used as an adjunctive treatment for rehabilitation after TKA.

Bleeder's Femur: The Proximal Femoral Morphology in Hemophilic Patients Who Underwent Total Hip Arthroplasty.

INTRODUCTION: Patients with hemophilia (PWH) constantly suffer hemarthrosis, which leads to deformity of the hip joint. Therefore, PWH who are going to receive total hip arthroplasty (THA) should be exclusively treated before the surgery with careful measurement of their proximal femur. Hence, we conducted a retrospective study to explore the anatomical parameters of and differences in the proximal femur in hemophilic patients who underwent THA. METHODS: The retrospective study comprised data of adult patients who received total hip arthroplasty from 2020 to 2022 in the research center. Patients having a diagnosis of hemophilic arthritis and received THA were included in experimental group, and patients with hip arthritis or femoral head necrosis were taken as control group. Parameters including femoral offset, neck-shaft angle (NSA), medullary cavity of 20 mm above mid-lesser trochanter level (T+20), mid-lesser trochanter level (T), and 20 mm blow it (T-20), and canal flare index (CFI), femoral cortical index (FCI) were measured on X-ray and CT images with PACS by two independent doctors. Data was analyzed by SPSS 20. Kolmogorov-Smirnov test was used to test data normality. Student's t-test was performed between PWH and control group. p < 0.05 was considered statistically significant. RESULTS: Among the 94 hips, 39 (41.5%) were included in group hemophilia and 55(58.5%) in control group. The mean age of the patients was 49.36 ± 12.92 years. All cases were male patients. Data demonstrated significantly smaller femoral cortical index (FCI), femoral offset, medullary cavity of 20 mm above mid-lesser trochanter level, mid-lesser trochanter level, and 20 mm below it, and neck-shaft angle (NSA) was obviously larger in PWH than control group (p < 0.05). No significant difference was found in canal flare index (CFI). CONCLUSION: Hemophilic patients undergoing THA were prone to longer and thinner proximal femur. Preoperative morphological analysis of femur is recommended.

Keypoint-Aware Single-Stage 3D Object Detector for Autonomous Driving.

Current single-stage 3D object detectors often use predefined single points of feature maps to generate confidence scores. However, the point feature not only lacks the boundaries and inner features but also does not establish an explicit association between regression box and confidence scores. In this paper, we present a novel single-stage object detector called keypoint-aware single-stage 3D object detector (KASSD). First, we design a lightweight location attention module (LLM), including feature reuse strategy (FRS) and location attention module (LAM). The FRS can facilitate the flow of spatial information. By considering the location, the LAM adopts weighted feature fusion to obtain efficient multi-level feature representation. To alleviate the inconsistencies mentioned above, we introduce a keypoint-aware module (KAM). The KAM can model spatial relationships and learn rich semantic information by representing the predicted object as a set of keypoints. We conduct experiments on the KITTI dataset. The experimental results show that our method has a competitive performance with 79.74% AP on a moderate difficulty level while maintaining 21.8 FPS inference speed.