Prostate Cancer Radiotherapy: An Evolving Paradigm
Bibliographic record
Abstract
The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice. A urologist referred a 69-year-old man for a radiotherapy opinion regarding a recently diagnosed adenocarcinoma of the prostate. Annual serum prostate-specific antigen (PSA) testing over 7 years demonstrated a rise in PSA from 1.36 ng/mL to 5.8 ng/mL, prompting a transrectal ultrasound that revealed a heterogeneous 37-mL gland containing no visualized hypoechoic nodules. Biopsy disclosed a Gleason score 3+4 (grade group 2) adenocarcinoma of the prostate. The synoptic report stated that six of 14 cores and 17% of the tissue were involved, with the greatest core involvement being 80% at the right apex. Perineural invasion was present without lymphovascular invasion. Disease was present bilaterally at the base, midgland, and apex.His medical history was significant only for treated peptic ulcer disease and he was taking no medication. His International Prostate Symptom Score was six of 35, and he reported being sexually active with good erectile function. There was no family history of prostate cancer. He is retired. Digital rectal examination revealed moderate benign prostatic hypertrophy with no suspicious nodules. A staging computerized tomography (CT) scan of the abdomen and pelvis and a whole-body bone scan ordered by his referring urologist reported no evidence of metastatic disease. The patient had discussed surgical options with his urologist and now wished to consider radiotherapy approaches.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.008 | 0.018 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.019 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".