41: Evaluation of an Automated Deformable Registration Algorithm for MRI-Guided Focal Boost Integrated with Ultrasound-Based High Dose-Rate Brachytherapy in the Treatment of Prostate Cancer
Bibliographic record
Abstract
prostate ultrasound images with either a Foley or gel were fused and analyzed.The catheter tends to take a path of least curvature and is thus located in the anterior urethra.At midprostate the difference is most pronounced with the posterior edge of the catheter located up to 7 mm anterior to the posterior aspect of the gel-filled urethra.Urethra V115% was higher when the urethra was defined with gel.Median V115% was 0 cc (0-0.03) with catheter compared to 0.03 cc (0-0.53) with gel (p = 0.02) and translated to a median V115% of 0% (0-2.14)versus 3.23% (0-20.95)(p = 0.003), respectively.Only one patient when analyzed with the gel had a V118% > 10%(16.6%)and three had a V125% > 0 cc (p = 0.31).The urethral volume was 1.4 cc (1.04-1.85)using the 6mm circle and was 1.22 cc(0.7-2.53) when using aerated gel (p = 0.522).At the prostate base and apex the smaller diameter of the urethra makes visualization with gel alone difficult.Conclusions: Using a Foley catheter for urethral identification and dose prescription underestimates the dose that is actually received by some patients.Urethral curvature differs from the Foley catheter, especially at mid gland where the catheter rides anteriorly.A standard 6 mm circle does not represent the entire urethral volume.Although we have not observed unexpected toxicity, we will continue to monitor actual urethral dose to correlate with toxicity in future patients.In the meantime, use of a catheter is the most reliable means of visualizing the entire length of the prostatic and membranous urethra.Consideration could be given to expanding the 6 mm circle in the posterior direction in mid-gland.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".