Abstract 15877: Chamber Volumes and Deformation Measures are Abnormal in Chemotherapy-Naïve Cancer Patients: Potential Implications for Surveillance and Definitions of Cardiotoxicity
Bibliographic record
Abstract
Background: Cancer Therapeutics-related Cardiac Dysfunction (CTRCD) is defined by an interval drop in contractile performance to below reference lower limits of normal. This definition assumes healthy reference data appropriately represent referral populations with active cancer. However, the influence of active cancer on cardiac chamber volumes and contractile performance has not been established. Using cardiac magnetic resonance (CMR), we studied chamber volume- and deformation-based markers in ~400 cancer patients with comparison to ~100 healthy controls. Methods: 394 active cancer patients referred for first-time anthracycline-based chemotherapy and 102 healthy volunteers (HV) were recruited. Both underwent identical CMR protocols with quantification of chamber volumes and ejection fraction (EF). Left ventricular (LV) mechanics were also assessed by 3D myocardial deformation analysis (3D-MDA), providing global longitudinal, circumferential, radial and principal peak-systolic strain amplitude and rate. Results: The mean age was 53.8±13 years (78% female), with 64% having breast cancer and 36% lymphoma. Table 1 summarizes CMR findings of cancer patients versus HV, stratified by sex. Chamber volumes were significantly smaller while LV mass was significantly greater versus HV. LV EF and global longitudinal (GLS) were similar. However, cancer patients demonstrated significantly higher radial, circumferential and maximal principal strain amplitude. Peak-systolic strain rates were also consistently elevated. Conclusion: Chemotherapy-naïve cancer patients have smaller chamber volumes, greater LV mass, and higher radial, circumferential, and maximal principal strain versus healthy subjects. LV EF and peak GLS remain similar, and therefore are most appropriate to define CTRCD. However, an altered state of cardiac health is apparent by all other CMR-based markers, reflecting a unique cardiac phenotype of patients with active cancer.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".