Preclinical Validation and Clinical Translation of Transrectal Diffuse Optical Tomography for Monitoring Prostate Cancer Photothermal Therapy
Bibliographic record
Abstract
Continuous-wave diffuse optical tomography in transrectal configuration (TRDOT) has been developed to monitor photocoagulation front progression to achieve tumor ablation while avoiding rectal damage during photothermal therapy of localized prostate cancer. The TRDOT system can reconstruct optical properties of coagulation lesions, namely the absorption and reduced scattering coefficients, in phantoms and canine models in vivo. The TRDOT system is sensitive to porphysome accumulation in the tumor in vivo with approximately a 10-fold increase in absorption property in a canine tumor model. Reconstruction of lesion sizes is mostly within a spatial resolution of 1 mm, which is considered necessary for clinical translation. Clinical safety and technical feasibility of the TRDOT system in prostate cancer patients have been demonstrated for the first time. Further improvements in system performance, particularly to increase the scan speed during treatment, are in progress. This work is supported by the Terry Fox Research Institute (grant #1075).
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".