CTNI-14. NEOADJUVANT STEREOTACTIC RADIOSURGERY (NASRS) FOR LARGE BRAIN METASTASES (BRM): RESULTS OF AN INTERNATIONAL MULTICENTER PHASE II TRIAL
Bibliographic record
Abstract
Abstract BACKGROUND We conducted an international multi-center phase II trial evaluating NASRS for BrM. We hypothesized that radiation necrosis (RN) would be lower than post-operative cavity radiotherapy since the tissues receiving the highest radiation dose are resected in NASRS. METHODS BrM patients with 1 index lesion ( >2 and <5 cm in greatest diameter) suitable for resection, and 9 or less additional BrM (< 3 cm in greatest diameter, not requiring resection) were recruited across 3 centres. SRS was administered a median 3 (range: 2-21) days prior to surgical resection. A single fraction of 15-21 Gy was delivered, targeting the index tumor with a 2mm margin. From a sample of 30 patients, the primary endpoint was the 1-year rate of grade 2+ (G2+) RN from the index lesion. Secondary endpoints included local failure (LF), leptomeningeal disease (LMD) and overall survival (OS). RESULTS We enrolled 35 patients [Mean age (SD): 58.9 (12.9) years, 46% female] between 2018 and 2022. The most common primary histologies were lung (40%), and gastrointestinal (20%) cancers. The median BrM volume prior to surgery was 16.6 cc (range 3.2 -38.0); median index lesion size was 3.2 (range: 1.9-4.5) cm. All participants received planned protocol treatment; n = 30 are currently available for 1 year outcomes. No patients developed G2+ RN; 5 had a LF (1-year rate 38%) at 5-12-months following surgery, all of whom had an en-bloc resection. One patient each developed classic LMD and pachymeningeal failure 3 and 11 months after surgery, respectively. Median OS was 11.5 months. CONCLUSION No patients in our study experienced G2+ RN. The 1-year rate of LF was higher than anticipated, indicating the potential benefit of considering a higher radiation dose or larger margins for improved outcomes.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".