Arthroscopic Treatment of Acetabular Chondral Defect Using Bst-Cargel
Bibliographic record
Abstract
FDA Status: Cleared Summary: Arthroscopic Treatment of Acetabular Chondral Defect Using BST-CarGel in conjunction with microfracture produce improved outcomes both clinically and radiographically without significant adverse events. Purpose of Study: Acetabular cartilage lesions are a common pathology found in patients undergoing hip arthroscopy and may cause pain and functional limitation. Irrespective of the cause, chondral lesions have nearly no self-repair capabilities, and most likely will progress to generalized degeneration if left untreated. Several strategies have been developed to treat chondral defect with no overwhelming success. Recently, BST-CarGel (Piramal Life Sciences, Bio-Orthopaedic Division) which is a gel-forming biopolymer (Chitosan based) injectable medical device has gained interests as a scaffolding material that can be injected into the site of micro-fracture to stabilize the clot and facilitate the cartilage repair. This study aims to perform a retrospective analysis of prospectively collected data to evaluate the short-term outcome of patients treated arthroscopically with BST-CarGel for acetabular chondral defect. Description of Methods: Between November 2014 and December 2015, 22 patients (23 hips) underwent hip arthroscopy for correction of femoroacetabular impingement, labral repair and treatment of acetabular chondral defect. Patient evaluations included general assessment with iHOT-33 questionnaire at the time of preoperative consultation, and the postoperative follow-up at 6 months, 1 year and 2 year marks. In addition, preoperative and postoperative plain radiographs and MR arthrogram scans were analyzed for evaluation. Summary of Results: 22 patients (23 hips) have been evaluated with mean age of 33.34 years at time of the index operation. There were 16 males (17 hips, mean age of 32.00) and 6 female (6 hips, mean age of 37.15). Minimum follow up time was 6 months. The preoperative iHOT-33 score was 46.3 and the score at 6 months postoperative visit was 61.1, and this improvement was statistically significant (p = 0.015). MR arthrograms at 1 year postoperatively demonstrated a significant fill of the chondral defects. There were two patients with severe early postoperative pain, but otherwise no significant adverse outcomes have been reported. Conclusions: Arthroscopic treatment of chondral acetabular defect with BST-CarGel demonstrates statistically significant improvement in iHOT-33 score and encouraging signs of cartilage healing as shown on MR arthrograms without significant adverse outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".