Microwave Imaging for Monitoring Breast Cancer Treatment During Neoadjuvant Chemotherapy
Bibliographic record
Abstract
Microwave imaging for tumor detection has been previously reported, while the potential of microwave imaging for treatment monitoring has been explored in two papers. In this study, we expand this body of knowledge by using microwave imaging to monitor breast cancer treatment during chemotherapy. The volunteers participating in this study have early-stage or locally advanced breast cancer, and undergo neoadjuvant chemotherapy as the initial treatment prior to surgery. The treatment protocols range from 6 to 8 cycles, which are 2 or 3 weeks apart. Microwave scans are performed on both healthy and cancerous breasts before each chemotherapy cycle. This paper presents the results of one patient with dense breasts scanned across different visits, demonstrating the differences in permittivity between the cancerous and healthy breasts before starting chemotherapy and illustrating that the permittivity of the cancerous breast changes during treatment.
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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".