Incidence and Pitfalls of Intratesticular Adipose Tissue Encountered in Orchiectomy Specimens
Bibliographic record
Abstract
Based on the eighth edition of the American Joint Committee on Cancer staging system, postpubertal germ cell tumors (GCT) and malignant sex cord-stromal tumors (SCST) of the testis invading hilar soft tissue are of pathologic stage pT2. Adipose tissue is typically used as an anatomical landmark by pathologists for determining hilar soft tissue invasion. Herein, we evaluated for the presence, location, and extent of intratesticular fat in a multi-institutional cohort of orchiectomies. Consecutive orchiectomies from 3 academic institutions were reviewed (n = 605), including both benign and malignant specimens. Intratesticular fat was identified by hematoxylin and eosin (H&E) evaluation in 11/605 (1.8%) orchiectomies, including the following diagnoses: mixed non-teratomatous GCT (n = 1), mixed GCT with a teratoma component (n = 2), pure teratoma (n = 2), Leydig cell hyperplasia (n = 1), regressed GCT (n = 1), hormone therapy effect (n = 1), atrophic changes (n = 1), fibrosis (n = 1), infarction (n = 1). Adipose tissue was located within the rete testis stroma (n = 2), just below the rete testis (n = 4), within nodules of Leydig hyperplasia between the seminiferous tubules (n = 1), or within the confines of testicular parenchyma (n = 4). Among the 4 specimens containing admixed neoplastic (teratomatous) fat, the extent of adipose tissue ranged from 3.0 to 11.0 mm (mean 6.8 mm). Among the 7 specimens with non-neoplastic adipose tissue within/near the rete, the extent ranged from 0.1 to 12.7 mm (mean 2.3 mm). Although uncommon, intratesticular fat can be found in orchiectomy specimens, which may represent a staging pitfall in GCT and SCST especially when located at the interface between the testicular parenchyma and hilum.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".