Aches and Pains in a Patient With History of Prostatectomy: Extensive Skeletal Metastasis Picked up by Diffusion-Weighted Magnetic Resonance Imaging
Bibliographic record
Abstract
A 64-year-old gentleman presented to the out-patient with complaints of generalized body ache. He had a history of prostate cancer for which robotic radical prostatectomy (RP) was done earlier. The levels of prostate specific antigen (PSA) and alkaline phosphatase (ALP) were significantly elevated. Skeletal radiograph showed only few sclerotic foci. Magnetic resonance imaging whole-body diffusion-weighted image (MRI-WB-DWI) however revealed the presence of diffuse skeletal metastasis. In any elderly male who presents with generalized body pain, eliciting a good history should not be overlooked. With a history of prostate cancer, diffuse metastases should be high in the list of differential diagnosis. Though there are several imaging methods to detect metastases, MRI-WB-DWI is a welcome alternative to the established methods. Patients who undergo RP for prostate cancer should be counselled regarding the importance of follow-up of their PSA levels.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".