Unraveling the Hemodynamic Impact of Persistent Iliac Vein Lesions and Physical Therapy Post-Stenting
Bibliographic record
Abstract
Stent implantation is a standard treatment for iliac vein compression syndrome (IVCS), but persistent lesions in the stented vein can lead to adverse outcomes. This study investigates the hemodynamic impact of these lesions and the effects of therapeutic strategies post-stenting. A patient-specific model simulating flattened, narrow, and tissue adhesion (TA) lesions was used to analyze key hemodynamic parameters, including Wall Shear Stress (WSS), Oscillatory Shear Index (OSI), Relative Residence Time (RRT), and Flow Resistance (RF). The results show that contralateral venous lesions significantly worsen hemodynamic conditions in the iliac vein after stenting. The adhesion model exhibited significantly higher reflux volumes and more extensive regions of low TAWSS, high OSI, and high RRT compared to the other lesion models. Both active ankle exercises (AAE) and intermittent pneumatic compression (IPC) therapies improved the hemodynamic environment in the stented vein. However, these therapies also worsened blood flow disturbances at the contralateral lesion site. These findings highlight the importance of personalized therapeutic strategies to optimize clinical outcomes following stenting.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".