Anatomical Variations of the Suprascapular Notch and Its Importance in Nerve Entrapment
Bibliographic record
Abstract
Background and Aim: Entrapped neuropathy syndrome could be effectively managed with detailed anatomical knowledge of suprascapular notch. Suprascapular nerve injuries are now widely acknowledged as a cause of shoulder pain and dysfunction. The present study aimed to determine the anatomical variation of the suprascapular notch and its importance in nerve entrapment. Methodology: A total of 128 human scapulae of either gender were taken from the department of Anatomy, Saidu Group of Teaching Hospitals, Swat and Women Medical and Dental College Hospital Abbottabad during the period from January to June, 2021. Four parameters of Suprascapular notch (SSN) i) Superior transverse depth (STD), ii) Maximum depth (MD), iii) middle transverse diameter (MTD), and total circumferential diameter (TCD) were defined based on incisura inferior border shape and vertical diameters. Suprascapular notch presence or absence was grossly examined for all the scapulae. Vernier caliper was used for the measurement of the four suprascapular notch parameters. SPSS version 23 was used for data analysis. Results: Out of 128, 61 (47.7%) were right-sided and 67 (52.3%) were left-sided human scapulae. The prevalence of U-shaped, V-shaped, and J-shaped notch were 62 (48.4%), 27 (21.1%), and 13 (10.2%) respectively. The incidence of the large double foramen, complete, and incomplete suprascapular notch were 2 (1.6%), 7 (5.5%), and 8 (6.3%) respectively. W-notched was present in 3 (2.3%) scapulae whereas 6 (4.7%) scapulae had no notch. The vertical and transverse diameters for right and left-sided type-II scapulae were 4.9±2.1 mm and 8.9±3.1 mm and 4.8±1.7 mm and 9.1±2.3 mm respectively. Conclusion: The prevalence of U-shaped and V-shaped notch was 48.4% and 21.1% respectively. Suprascapular notch morphology could be determined with anatomical knowledge and play a critical role for neurosurgeons, clinicians, orthopedic surgeons, and radiologists for proper diagnosis and management of shoulder region surgical procedure and protocol. Keywords: Suprascapular notch, Anatomical knowledge, Nerve entrapment
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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 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".