Psychological impact of recall on women with BRCA mutations undergoing MRI surveillance
Bibliographic record
Abstract
OBJECTIVE: The addition of magnetic resonance imaging (MRI) to mammography for surveillance of women with BRCA mutations significantly increases sensitivity but lowers specificity. This study aimed to examine whether MRI surveillance, and particularly recall, is associated with increased anxiety, depression, or breast cancer worry/distress. METHODS: Women with BRCA mutations in an MRI surveillance study were invited to complete: Hospital Anxiety and Depression Scale (HADS), Lerman's Breast Cancer Worry Scale, Breast Cancer Worry Interference Scale, and a quality of life rating at 3 time points: 1-2 weeks before (T1), 4-6 weeks after (T2) and 6 months after their annual surveillance (T3). Repeated measures analyses were performed over the 3 time points for recalled and non-recalled women. RESULTS: 55 women (30 BRCA1, 25 BRCA2) completed study instruments at T1 and T2, and 48 at T3. Eighteen women (32%) were recalled for additional imaging. At T1, 27 women (49%) were above HADS threshold for "possible cases" for anxiety (score≥8). Recalled (but not non-recalled) women had a significant increase of HADS anxiety at T2 which dropped to below baseline by T3. No group differences were observed in terms of change over time in other quantitative psychological measures. CONCLUSIONS: While breast MRI surveillance did not have a detrimental psychological impact on women with a BRCA1 or BRCA2 mutation, recalling these very high-risk women for further imaging after a false positive MRI scan temporarily increased their global anxiety.
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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 | 0.000 | 0.000 |
| 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 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".