Can Preoperative Magnetic Resonance Imaging Predict Intraoperative Autograft Size for Anterior Cruciate Ligament Reconstruction? A Systematic Review
Bibliographic record
Abstract
Abstract This systematic review explored the utility of preoperative magnetic resonance imaging (MRI) as a tool for predicting intraoperative graft size for anterior cruciate ligament (ACL) reconstruction. Three databases (EMBASE, PubMed, and MEDLINE) were searched in November 2017 for English-language studies of all levels of evidence that aimed to correlate preoperative MRI measurements of common primary ACL autograft sources to intraoperative measurements of the harvested graft. Two reviewers applied predetermined inclusion/exclusion criteria to independently complete title, abstract, and full-text review of eligible studies. Data abstraction, quality assessment, and descriptive statistics are presented. A systematic screen of 930 titles resulted in 14 studies satisfying inclusion/exclusion criteria. These studies examined 762 patients of mean age 28.6 (9–67) years, with 37.3% females. Comparing the correlation of preoperative MRI measurements to intraoperative harvested measures, the strength was very highly positive for quadriceps tendon (QT) (one study, 29 patients, intraclass correlation coefficient [ICC] = 0.96), highly positive for patellar tendon (two studies, 28 patients, ICC: 0.77–0.87), negligible-highly positive for semitendinosus-only tendon (eight studies, 439 patients, r: 0.16–0.81), and negligible-moderately positive for gracilis-only tendon (four studies, 143 patients, r: 0.29–0.59). When combined semitendinosus–gracilis tendon grafts were considered, the correlation ranged from low-very highly positive (10 studies, 517 patients, r: 0.42–0.93). Preoperative MRI assessment of both QT and bone–patellar tendon–bone autografts most highly correlates with intraoperative measurements of autograft diameter. Considerable variability exists when viewing hamstring tendons either individually or together, where most studies indicate at least a moderate correlation. This highlights the advantage of MRI during the preoperative planning process in equipping the surgeon with a better ability to ensure the diameter of the intended autograft will suffice. This is a Level IV study, systematic review of Levels II to IV studies.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| 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 | 0.001 |
| 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".