Surveillance Mammography following the Treatment of Primary Breast Cancer with Breast Reconstruction: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Both the prevalence of breast cancer and the number of breast cancer patients seeking breast reconstruction are increasing, highlighting the importance for evidence to direct the clinician in the follow-up of these patients. Current practice guidelines recommend surveillance mammography of the contralateral breast in all breast cancer patients, and of the ipsilateral breast in women treated with breast-conserving surgery. However, there are no guidelines specifically addressing the role of surveillance mammography for women who have undergone mastectomy and breast reconstruction. METHODS: A systematic review was conducted to identify studies specifically addressing the issue of surveillance mammography among women with breast reconstruction following treatment for primary breast cancer. RESULTS: This systematic review identified eight articles, consisting of case reports and case series, that address the issue of surveillance mammography of the ipsilateral breast in women with breast reconstruction. The articles demonstrated that certain local recurrences are able to be detected by surveillance mammography. CONCLUSION: This study has demonstrated the paucity of evidence and highlighted the need for further research to evaluate this issue.
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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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".