Lymphocytic myocarditis: A histopathologic definition and classification from the Society for Cardiovascular Pathology and Association for European Cardiovascular Pathology. I: Endomyocardial biopsy
Bibliographic record
Abstract
BACKGROUND AND AIM: Lymphocytic myocarditis has long been appreciated as a lymphocyte-predominant myocardial inflammation with resultant myocyte injury. However, current methods of diagnosis on endomyocardial biopsy (EMB) lead to inconsistent diagnoses. To improve patient care, the criteria for the diagnosis of lymphocytic myocarditis on endomyocardial biopsies have been revised to address shortcomings of the Dallas Criteria and European Society of Cardiology (ESC) criteria. METHODS AND RESULTS: In the Seaport area of Boston, a panel of expert cardiovascular pathologists from the Society for Cardiovascular Pathology (SCVP) and the Association for European Cardiovascular Pathology (AECVP) completed a three-year project to develop consensus terms and definitions. These "Seaport" criteria for EMB were developed to utilize CD3 immunohistochemistry for T lymphocytes and accurately define each level of histopathologic severity based on extent of infiltrate and presence of myocyte injury. These criteria create a diagnostic approach to lymphocytic myocarditis using three grades of severity (mild, moderate, and severe) along with a category of scattered increased T lymphocytes of undetermined significance (SITUS). The document discusses the role of ancillary studies, the relationship to other diagnostic modalities, and areas of continuing controversy in the development of these criteria. CONCLUSION: These consensus-based criteria offer a standardized framework for diagnosing lymphocytic myocarditis in EMB. Adoption of these easy-to-use criteria will improve classification of lymphocytic myocarditis as an aid to diagnose and treat patients.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".