Breast Arterial Calcifications on Mammography Do Not Predict Myocardial Ischemia on Myocardial Perfusion Single-Photon Emission Computed Tomography
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to determine if breast arterial calcification (BAC) on mammography predicts myocardial ischemia (MI) on stress myocardial perfusion single-photon emission computed tomography (MPS). BAC is a type of medial artery calcification that can be seen incidentally on mammography, but the relationship between coronary artery calcification and MI on MPS is yet unknown. METHODS: A total of 435 consecutive women underwent mammography and stress MPS within 1 year of each other. BAC was quantitatively evaluated (0 - 13). Patients with known coronary artery diseases (CADs) such as coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI), MI, positive coronary angiogram or positive MPS were excluded from the study. Risk factors for CAD were obtained from a chart review. RESULTS: The mean age was 58 ± 8 years. BAC was found in 258 (59%) of the study population. BAC-positive patients were significantly older than BAC-negative patients (P < 0.0001), there were strong associations between BAC and hypertension (P = 0.0309), chronic kidney disease (CKD) (P = 0.0001), and diabetes (P = 0.0309), but there were significant associations between BACV and hyperlipidemia, family history of CAD, and smoking (P = 0.6856, P = 0.9642, and P = 0.087, respectively). The mean score of BAC was 5 ± 5 in patients with normal MPS and was 6 ± 6 in patients with abnormal MPS. There were no associations between total BAC and MPS results (P = 0.2095), and between BAC categories and MPS result (P = 0.3069). CONCLUSIONS: Based on our study, the presence and severity of BAC on screening or diagnostic mammography do not predict MI on stress MPS, and further cardiac workup based on the presence of BAC is not warranted. BAC is very common in mammography up to 59% and associated with age, diabetes, CKD, and hypertension. In contrast, the prevalence of MI is only 13% in women with BAC and associated with age, diabetes, CKD, hyperlipidemia, and impaired left ventricular function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 teacher head, 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".