Off Side! A Simple Modification to the Parasagittal In-Plane Approach for Paravertebral Block
Bibliographic record
Abstract
The use of thoracic paravertebral blocks (PVBs) for breast cancer surgery confers important analgesic benefits. Several ultrasound (US)-guided PVB approaches have been described, but still elusive is the ideal technique that (1) permits continuous visualization of the entire needle shaft and tip, (2) avoids aiming the needle tip and injectate directly toward the neuraxis, and (3) is easy to perform. Although the parasagittal view in-plane PVB approach satisfies the former 2 criteria, maneuvering the needle to reach the targeted paravertebral space can be difficult as its trajectory is often obstructed by the bony transverse processes. This brief technical report describes the "off-side" technique--a simple solution to the technical challenge posed by the double-fulcrum effect exerted first by the transducer and then by the adjacent inferior transverse process. Our "off-side" technique marks a departure from conventional US-guided regional anesthesia teaching that recommends positioning the target in the middle of the US field and may be useful in similar types of US-guided regional anesthesia procedures such as neuraxial blockade.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".