Early detection of anthracycline-mediated cardiotoxicity: the value of considering both global longitudinal left ventricular strain and twist
Bibliographic record
Abstract
Anthracyclines are important anticancer drugs, but their use is limited by cardiotoxicity. Left ventricular ejection fraction (LVEF) is often inadequate to detect myocardial disease induced by chemotherapy. Tissue Doppler and bidimensional-strain imaging could detect LV myocardial dysfunction earlier than LVEF. In drug-induced cardiotoxicity, torsional and longitudinal LV deformations [LV twist (LVtw), radial strain (GRS), global longitudinal strain (GLS)] are damaged. We assessed whether a new index, GLS×LVtw, could predict future anthracycline-induced cardiomyopathy. Echocardiography, troponin, and natriuretic peptide determination were prospectively performed in 74 patients before and after 6, 12, 24, and 52 weeks of anthracycline treatment. These patients were treated for breast cancer, Hodgkin's or non-Hodgkin's lymphoma, acute lymphoblastic or myeloblastic leukaemia, or osteosarcoma. At 6 weeks after initiation of chemotherapy, isovolumic relaxation time, systolic mitral annular velocity, LVGLS, LVGRS, LV apical rotation, LVtw, and GLS×LVtw deteriorated, and troponin levels became elevated (all p < 0.05 by ANOVA) before LVEF decreased. The receiver operating characteristic curves identified early deterioration of GLS×LVtw as the best predictor of later cardiotoxicity (area under curve = 0.93), followed by GLS (0.84) and LV apical rotation (0.81) deterioration. In conclusion, early change in the GLS×LVtw index seems to be a good predictor of future development of anthracycline-induced cardiotoxicity.
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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) | 0.000 | 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".