Breast Cancers Detected with Imaging Screening in the<i>BRCA</i>Population: Emphasis on MR Imaging with Histopathologic Correlation
Bibliographic record
Abstract
The benefit of screening with breast magnetic resonance (MR) imaging for certain patient populations at high risk for breast cancer, most notably patients with a genetic mutation in the BRCA1 or BRCA2 gene, has been established in numerous studies and is now becoming part of routine clinical practice. Despite the lower sensitivity of mammography compared with that of MR imaging, the former remains the standard of care for screening any patient population. In the BRCA1 and BRCA2 populations, the inferior sensitivity and specificity of ultrasonography (US) limit its role as a screening tool, but US remains a vital diagnostic tool because of its ability to provide guidance for biopsy of many suspicious lesions detected with MR imaging. Important features of a screening program with breast MR imaging include the following: optimization of the MR imaging technique, an awareness of the imaging features of invasive and noninvasive breast cancers detected with MR imaging, an understanding of the limitations of the various imaging modalities in both the initial screening and subsequent diagnostic work-up evaluations, and the requirement for MR imaging-guided biopsy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".