Global and Regional Longitudinal Strain Reduction in Breast Cancer Patients After First Chemotherapy Cycle With Fluorouracil, Adriamycin, and Cyclophosphamide Regimen
Bibliographic record
Abstract
Background: Chemotherapy with fluorouracil, adriamycin, and cyclophosphamide (FAC) regimen in breast cancer patients may cause myocardial injury and necrosis, thereby attenuating global and regional longitudinal strain (GLS and RLS). It is unclear whether the first chemotherapy cycle would cause GLS and RLS reduction and which segment would be most affected by the chemotherapy. The purpose of the study was to investigate the effect of the first chemotherapy cycle on GLS and RLS reduction. Methods: This was a prospective single-center cohort study of patients with breast cancer who underwent the first chemotherapy cycle with a FAC regiment. The GLS and RLS were measured using speckle tracking echocardiography and left ventricular ejection fraction (LVEF) measured with Simpson's biplane. The echocardiography was performed before and 3 weeks after the first chemotherapy cycle. We compared the value of GLS, RLS, and LVEF before and after chemotherapy using paired t -test analysis. Results: Thirty-six breast cancer patients were enrolled in the study. The GLS and RLS were reduced significantly at 3 weeks compared to baseline. The RLS of the basal anteroseptal, basal anterolateral, mid anterolateral, mid inferolateral, and all apical segments declined significantly from baseline. The largest RLS decline was detected in the apicoanterior segment. The post-chemotherapy GLS but not LVEF was significantly lower than that before treatment. Conclusion: The GLS and RLS of patients who underwent first cycle chemotherapy with FAC declined significantly than that before treatment, especially at the apicoanterior segment. LVEF was not altered after first cycle chemotherapy. Cardiol Res. 2021;12(4):238-243 doi: https://doi.org/10.14740/cr1229
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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 | 0.001 |
| 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".