51 LONG-TERM RADIOLOGICAL AND BIOCHEMICAL CONTROL OF FUNCTIONING PITUITARY ADENOMAS WITH FRACTIONATED STEREOTACTIC RADIATION THERAPY: A RETROSPECTIVE CASE SERIES
Bibliographic record
Abstract
Abstract OBJECTIVE This study examined long term radiological and biochemical control of functioning pituitary neuroendocrine tumors (PitNETs) treated with fractionated stereotactic radiotherapy. METHODS A retrospective case series was conducted on patients treated with FSRT at the BC Cancer Agency between January 1, 1998, and December 31, 2021. Inclusion criteria comprised of patients with functioning PitNETs who had either inoperable condition or residual disease post-surgery, and who had failed maximal medical management. Baseline evaluations included Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) scans, and pituitary hormone levels. Outcomes included local control (LC) defined as absence of growth on CT or MRI, progression-free survival (PFS), defined as time of FSRT to radiological or biochemical progression, objective hormonal response (OHR) in which hormone levels normalized or declined by more than 50% of baseline levels without medications, and biochemical control, that included OHR with or without medications. RESULTS Out of a total of 202 patients treated with FSRT and followed for a median of 11.9 years, 51 (25%) had functioning PitNETs. Of 51 patients, 48 (94%) had uncontrolled hormonal levels despite medications. At 10 years post FSRT, LC was 91%, and PFS was 97%. OHR was 27% and biochemical control was 58%, CONCLUSION FSRT is effective in controlling growth and hypersecretion of functioning PitNETs for 10 or more years post treatment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".