METIS: A phase 3 study of radiosurgery with TTFields for 1-10 brain metastases from NSCLC.
Bibliographic record
Abstract
TPS9106 Background: Tumor Treating Fields (TTFields) are non-invasive regional anti-mitotic treatment modality, based on low intensity alternating electric fields. Efficacy of TTFields in non-small cell lung cancer (NSCLC) has been demonstrated in multiple in vitro and in vivo models, and in a phase I/II clinical study. TTFields treatment to the brain was shown to be safe and to extend overall survival in newly-diagnosed glioblastoma patients. Methods: 270 patients with 1-10 brain metastases (BM) from NSCLC will be randomized in a ratio of 1:1 to receive stereotactic radio surgery (SRS) followed by either TTFields or supportive care alone. Patients are followed-up every two months until 2nd cerebral progression. Patients in the control arm may cross over to receive TTFields at the time of 2st cerebral progression. Objectives: To test the efficacy, safety and neurocognitive outcomes of TTFields in this patient population. Endpoints: Time to 1st cerebral progression based on the RANO-BM Criteria or neurological death (primary); time to neurocognitive failure based on the following tests: HVLT, COWAT and TMT; overall survival; radiological response rate; quality of life; adverse events severity and frequency (secondary). Main eligibility criteria: Karnofsky performance status (KPS) of 70 or above, 1 inoperable or 2-10 brain lesions amenable to SRS, optimal standard therapy for the extracranial disease, no brain-directed therapy, no signs of significantly increased intracranial pressure, no electronic implantable devices in the brain. Treatment: Continuous TTFields at 150 kHz for at least 18 hours per day will be applied to the brain within 7 days of SRS. The treatment system is a portable medical device allowing normal daily activities. The device delivers TTFields to the brain using 4 Transducer Arrays, which may be covered by a wig or a hat for cosmetic reasons. Patients will receive the best standard of care for their systemic disease. Statistical Considerations: This is a prospective, randomized, multicenter study for 270 patients. The sample size was calculated using a log-rank test (based on Lakatos 1988 and 2002) and has 80% power at a two sided alpha of 0.05 to detect a hazard ratio of 0.57. Clinical trial information: NCT02831959.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".