Quantification of ductal blood flow with magnetic resonance imaging in newborns with obstructive left heart disease
Bibliographic record
Abstract
Patients with congenital obstructive left heart lesions often depend on ductal blood flow to supplement their systemic circulation. Echocardiography (ECHO) is routinely used to assess duct patency and shunt direction, but may be of limited value in shunt quantification. We hypothesized that ECHO assessment of net direction and magnitude of blood flow across a patent ductus arteriosus (PDA) is unreliable as compared to cardiac magnetic resonance (CMR). From 2003 to 2011, 40 newborns with obstructive left heart lesions had undergone ECHO and MRI prior to any intervention to alleviate the obstruction. Twelve out of these 40 patients matched the inclusion criteria: 1) on prostaglandin infusion, 2) ECHO and MRI performed within 2 days, and 3) oxygen saturation difference between the two tests within 10%. We retrospectively compared the shunt quantification across the PDA by both methods: Phase contrast flow velocity mapping by CMR and velocity time integral (VTI) by ECHO. Age ranged between 0 and 9 days; other characteristics are detailed in the table. There was no significant difference between net flow measurements by CMR or ECHO-VTI (p = 0.18). However, there was poor agreement among methods with a wide confidence interval (figure) and a low intra-class correlation coefficient of -0.29. Also, when comparing CMR measurements with a semi-quantitative analysis by an experienced echocardiographer, we found that the net flow direction was estimated correctly by echocardiography in 2/3 of cases. The correlation between visual flow quantification by echocardiography (mild, moderate, severe) and CMR net flow in the 8 patients rated to have a net right-to-left shunt by both methods was poor (Kendall’s rank correlation coefficient 0.13, p NS). PDA net right-to-left shunt by CMR correlated with the ratio of systolic to diastolic flow duration (Rho = 0.66; p = 0.02), but not with oxygen saturation (Rho = -0.45; p = 0.14); age (Rho = 0.27; p = 0.39), PDA diameter (Rho = -0.22; p = 0.5), and heart rate (Rho = -0.08; p = 0.8). Figure 1 In patients with obstructive left heart lesions, ECHO based estimates of shunt magnitude across a PDA are unreliable. This is true for semiquantitative visual assessment and for flow estimation by VTI. The presence of a large caliber PDA does not imply the presence of a large amount of net shunting. A longer relative duration of systole allows for more ductal right-to-left shunting.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".