Intraoperative Detection of Screw Penetration Following Volar Plating of the Distal Radius: A Cadaveric Study Comparing Fluoroscopic Imaging and Ultrasound
Bibliographic record
Abstract
Introduction: Hardware prominence is one of the major established complications following volar plating of distal radius fractures. The purpose of this cadaveric study is to compare two conventional fluoroscopic imaging views (carpal shoot-through view [CSV] and dorsal horizon view [DHV]) with ultrasound (US) to establish the best intraoperative imaging modality for surgeons to use to identify penetration of screws through the dorsal cortex and/or into the distal radioulnar joint (DRUJ). Materials and Methods: Twelve human cadaveric limbs were included in the study, instrumented with distal radius plates via a volar approach. The three imaging modalities, CSV, DHV, and US, were compared in terms of detecting prominent screws during volar plate fixation. Six surgeons with varying levels of expertise performed the evaluations. Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, and the area under the receiver operating characteristic curve were computed for every surgeon and imaging method. Results: The CSV was found to be more sensitive compared with the DHV and US for detecting dorsal cortex penetration (99% vs. 94% vs. 56%, respectively). The DHV was found to be more sensitive in recognizing DRUJ screw penetration compared with CSV and US (89% vs. 78% vs. 11%, respectively). US evaluation demonstrated considerably lower diagnostic utility compared with CSV and DHV. Surgeon's ability to perform as well as confidence in evaluating for screw penetration was highest with the CSV view. Conclusion: Fluoroscopic imaging, particularly the CSV, demonstrates greater diagnostic reliability compared with US for intraoperative detection of prominent screws following volar plate fixation of the distal radius. CSV was also identified as the most reproducible examination for all levels of expertise with minimal formal training required. Level of Evidence: Therapeutic level V.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".