An anatomical update of the aortic plexus with clinical implications for retroperitoneal surgery (726.6)
Bibliographic record
Abstract
The aortic plexus is a sympathetic network of pre‐ and post‐ganglionic nerves overlying the abdominal aorta. The literature minimally describes the anatomy of this plexus and little research has been completed to anatomically define the nerves of this plexus. This study aimed to anatomically map the aortic plexus through dissection of fresh, frozen human cadavers (n=7). Using standard histochemical procedures, ganglia of the aortic plexus were verified with H&E staining and anti‐tyrosine hydroxylase staining confirmed the presence of sympathetic neurons. All specimens (100%) had 4 distinct ganglia that were supplied by right and left, L1 and L2 lumbar splanchnic nerves; 3 documented ganglia (right/left spermatic ganglia and inferior mesenteric ganglion), and 1 previously‐unidentified ganglion. Moreover, the prevalence of the accessory splanchnic nerves (right/left accessory L1 lumbar splanchnic 29%/29%; right/left accessory L2 lumbar splanchnic 14%/86%) and pre‐aortic nerves (inferior branch of right spermatic 86%; right/left intermesenteric nerve 29%/71%) were documented in each specimen to assess variability in the plexus. Clinically, our results could have implications for preserving fertility in men and sympathetic function to the hindgut and pelvis during retroperitoneal surgeries. Grant Funding Source : Supported by Canadian Urology Association Scholarship Foundation Grant
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".