Effects of age, gender, and risk‐factors for heart failure on native myocardial T<sub>1</sub> and extracellular volume fraction using the SASHA sequence at 1.5T
Bibliographic record
Abstract
Background Understanding cardiac MR T1 mapping values might require examination of the effects of age, gender, and heart failure risk factors. Purpose/Hypothesis To evaluate the effects of gender, age, and presence of heart failure risk factors on myocardial native T1 and extracellular volume fraction (ECV). Study Type Retrospective, cross‐sectional, observational study. Population Secondary analysis of cardiac MR data, separated by gender and health status, based on the presence of at least one heart failure risk factor. Field Strength/Sequence Cardiac MR imaging at 1.5T, including T1 mapping using the SAturation recovery single‐SHot Acquisition (SASHA) sequence. Assessment Interventricular septal region‐of‐interest analysis for assessment of native T1 and ECV. Statistical Tests Group comparisons performed using Student t‐test, or nonparametric equivalent. Linear regression was used to assess relationships between age and T1 measurements. Results Native T1 and ECV were available in 187 and 143 subjects, respectively. T1 and ECV were independent of age in all groups (Native T1: healthy women P = 0.655; healthy men P = 0.906; at‐risk women P = 0.487; at‐risk men P = 0.683; ECV: healthy women P = 0.685; healthy men P = 0.199; at‐risk women P = 0.152; at‐risk men P = 0.747). T1 and ECV were higher in healthy women versus men (1202 ± 30 ms versus 1167 ± 36 ms, P = 0.0000 and 22 ± 2% versus 20 ± 2%, P = 0.0089), while values were similar in women and men with risk factors (1197 ± 55 ms versus 1193 ± 45 ms, P = 0.6556, 21 ± 2% versus 21 ± 3%, P = 0.5039). No differences existed in native T1 or ECV between women with or without risk factors (P = 0.6344 and P = 0.1026), whereas men with risk factors showed higher native T1 values (P = 0.0070). Data Conclusion Native T1 and ECV measured with SASHA do not vary with age, regardless of gender or the presence of factors for heart failure. Native T1 and ECV are higher in healthy women than men, but do not differ in the presence of risk factors, suggesting a different myocardial response to risk factors between genders. Level of Evidence: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:1307–1317.
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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 | 0.002 |
| 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 | 0.000 | 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".