TRANSITIONING TO FULL-FIELD DIGITAL MAMMOGRAPHY: THE IMPACT OF TECHNOLOGY CHANGE ON MAMMOGRAPHY VOLUMES IN NOVA SCOTIA
Bibliographic record
Abstract
Recently, mammography has transitioned from analog screen-film to digital imaging. Reduced digital acquisition and processing time has the potential to increase screening throughput. This has not been evaluated in a “real-world” context. This project evaluated the transition to digital mammography on screening mammography throughput volumes and the proportion of diagnostic mammograms performed in Nova Scotia, Canada. A multi-group interrupted time-series design was used to assess the effects of technology change at ten fixed sites of the Nova Scotia Breast Screening Program between 2006 and 2014. Four sites experienced a statistically significant increase in screening throughput volumes following the introduction of digital mammography while the remaining sites experienced no significant change. There was no change in the proportion of diagnostic mammograms. The heterogeneity of results between sites suggests that unmeasured site-specific factors (departmental factors or demand) limited the potential for improved throughput following the transition.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".