On the Origin of Abdominal Venous Leiomyosarcomas: The Role of the Sex-Hormone Drainage Pathways
Bibliographic record
Abstract
Background: We hypothesized that abdominal venous leiomyosarcoma (AV-LMS) disproportionately originates in veins of the sex-hormone drainage pathway (SHDP). Our purpose was to classify the anatomical origin of AV-LMS in a large cohort using imaging and explore prognostic implications. Methods: A retrospective review of imaging of all patients presenting with abdominal non-uterine LMS at a single tertiary oncology center was performed. Inclusion criteria were a biopsy-proven LMS of non-uterine abdominal/pelvic origin with pretreatment enhanced computed tomography (CT)/magnetic resonance imaging (MRI). Patients with uterine LMS or prior radiation were excluded. LMS site of origin was assigned by one expert radiologist and indeterminate sites were reviewed with a second external expert radiologist. Locations of inferior vena cava (IVC) tumors were subclassified based on a modification of prior literature. SHDP was defined as originating from ovarian/testicular vein, distal left renal vein, adrenal vein or mid-IVC (IIA). Results: One hundred fifty-five (155) patients were included (92/152 (61%) female) with distant metastases found at presentation in 23/155 (14.8%). Most common organs of origins were veins (84/152, 55.3%), gastrointestinal (24, 15.8%), genital (11, 7.2%) and paratesticular/spermatic cord (11, 7.2%). For venous LMS, the adrenal (both sexes), mid-IVC (IVC IIA, females) and ovarian veins had the highest relative predilection for abdominal non-uterine LMS. Eighty-four (84/152, 55.3%) of tumors were SHDP. On multivariable analysis, both size and SHDP were significant predictors of distant metastases at presentation (P = 0.01), while sex, age, organ system/site and grade were not. Conclusions: For both sexes, tumors arising from SHDP constitute the majority of AV-LMS and may impart a significantly lower risk of metastatic disease at presentation. Among veins, the adrenal veins had the highest predilection for LMS.
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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 | 0.003 |
| 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) | 0.001 | 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".