P1577 Mitral regurgitant "splay": an important clue to severity of regurgitation
Bibliographic record
Abstract
Abstract Background Visual assessment of mitral regurgitation (MR) severity by color Doppler can be difficult, especially in eccentric jets. Examination of the proximal flow acceleration signal (PISA) on the ventricular side of the mitral valve can be helpful but, is not always intuitive. We describe a color signal ("splay") on the atrial side of the valve that can often be helpful in recognizing significant MR. Methods Clinical echocardiograms were reviewed to obtain two data sets: 100 patients with reported mild MR and another 100 with reported severe MR. All echocardiograms were reviewed to confirm that MR was truly mild or severe. Splay was defined as a non-physiologic arc of color (figure) centered at the point where the MR jet emerges into the atrium. Results Splay was present in the large majority of severe MR cases (table). It was seen across 3 vendors’ machines and was present with normal and reduced EF as well as primary and secondary MR. Color scale and transducer frequency did not differ according to presence or absence of splay, but gain was higher when splay was present (57.5 ± 6.8 vs 55.2 ± 6.1, p = 0.04). In mild MR patients, splay was present on fewer frames and had lesser dimensions vs severe MR. Splay was particularly prevalent in patients with wall hugging jets (28/30, 93%). Conclusions The splay signal occurs as a side lobe artifact, at the point where a high energy MR jet emerges into the left atrium. Its presence often indicates significant MR and may be a useful clue in highly eccentric jets which are otherwise difficult to grade. Table 1 Mild MR Severe MR P value Splay Present (%) 18 82 <0.0001 No. of Frames 2 ± 1.6 3.6 ± 1.3 <0.0001 Width of Splay (cm) 2.2 ± 0.5 3.2 ± 0.9 <0.0001 Depth of Splay (cm) 0.36 ± 0.11 0.47 ± 0.16 0.01 Abstract P1577 Figure. Splay Image
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".