27. Low Frequency Ultrasound Imaging of Apoptosis in Tumor Response: Non-Invasive Monitoring of Chemotherapy Effects
Bibliographic record
Abstract
Due to the growing costs of chemotherapy, previous imaging techniques such as MRI or CT scans have become too time-consuming in the assessment of chemotherapy’s effects. With results generated about 2 weeks later, the patient is exposed to the negative side effects of these medications with the possibility that chemotherapy may not be improving their prognosis. Thus, ultrasound has become increasingly popular as a method to determine chemotherapy’s effect on tumors within 24 hours. Both low and high-frequency ultrasound are novel, noninvasive methods for detecting cell death based on changes in cell morphology. Condensation, fragmentation and alterations in the cell nucleus during apoptosis are linked to changes in the cell’s acoustic properties, as indicated by experimental evidence. In this study, quantitative ultrasound was used to follow responses of tumor models to chemotherapy in vivo. As studies have shown that structural changes can occur as early as 24 hours after treatment, ultrasound imaging was administered before and 24 hours after treatment. Changes in ultrasound parameters such as spectral slope, Y-intercept, and midband fit were analyzed relative to pretreatment control data and when compared to changes in the tumors seen through cell staining, changes consistent with cell death were observed.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".