Carotid Disease Classification: Impact of the 2021 Intersocietal Accreditation Commission Updated Recommendations vs 2003 Society of Radiologists in Ultrasound Consensus Conference Criteria
Bibliographic record
Abstract
Introduction: In 2021, the Intersocietal Accreditation Commission (IAC) introduced modified criteria for carotid duplex interpretation based on peak systolic velocity (PSV) and PSV ratio. The most significant change compared to the 2003 Society of Radiologists in Ultrasound (SRU) criteria involved re-defining the thresholds for <50 and 50% to 69% stenosis ranges. Patients identified in <50% vs 50% to 69% ranges may face different disease severity assignments, variable surveillance protocols, medical management approaches, and recommendations for intervention. Facilities may experience altered payment coverage, issues of staff re-training, and questions from referring physicians regarding patient treatment and disease management expectations. The objective of this study was to assess the impact of re-defining these stenosis ranges using the 2021 IAC criteria vs the SRU criteria. Methods: Anonymized patient data from carotid duplex examinations were collected as part of an internal laboratory quality improvement strategy. These data were analyzed in an electronic database using the IAC and SRU threshold criteria to determine the degree of carotid stenosis. Patients with normal arteries, unilateral studies, or complete occlusions were excluded. Results: Of the 1000 patients considered, 850 met the eligibility criteria. Using PSV: for the right carotid, 242 (28.5%) showed a change and 608 (71.5%) showed no change in stenosis classification; for the left carotid, 228 (27%) showed a change and 622 (73%) showed no change. All changes were a downgrading of disease to <50% stenosis. Using PSV ratio: for the right carotid, re-assignment of 53 (22% of changed, 6% of total cohort); for the left carotid, re-assignment of 48 (21% of changed, 5.6% of total cohort). All changes resulted in re-assignment to the 50% to 69% stenosis category. Conclusions: Implementation of the IAC criteria resulted in patients being re-assigned to lower stenosis categories (27% for PSV and 21% for PSV ratio). The impact of these changes on patient care and facility logistics needs careful consideration.
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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 | 0.051 | 0.135 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".