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Record W4388588426 · doi:10.1093/neuonc/noad179.0992

RTID-01. A RANDOMIZED STUDY OF LOW-INTENSITY FOCUSED ULTRASOUND FOR BLOOD-BRAIN BARRIER DISRUPTION FOR BRAIN METASTASIS FROM NON-SMALL CELL LUNG CANCER (LIMITLESS)

2023· article· en· W4388588426 on OpenAlexaff
Manmeet S. Ahluwalia, Michael McDermott, Ahmad Ozair, Atulya Aman Khosla, Arjun Sahgal, Mark V. Mishra, Achal S. Achrol, Kamal Sahni, Nader Sanai, Nir Lipsman, Graeme F. Woodworth

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicinePembrolizumabLung cancerClinical endpointBrain metastasisRandomized controlled trialInternal medicineOncologySurgeryCancerMetastasisImmunotherapy

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Blood-brain barrier disruption (BBBD) has been demonstrated, in preclinical models, to improve systemic drug delivery for BM. Low-intensity focused ultrasound (LIFU) with intravenously (IV) administered microbubble oscillators results in non-invasive BBBD, potentially permitting drug delivery. This randomized controlled trial (RCT) aims to determine the safety and efficacy of LIFU-mediated BBBD for NSCLC BM with immunotherapy. METHODS LIMITLESS is an ongoing prospective, multicenter, parallel-arm, open-label RCT that randomizes patients with NSCLC-BM on pembrolizumab monotherapy prescribed as per standard-of-care to LIFU plus pembrolizumab (arm 1) or pembrolizumab alone (arm 2) in 2:1 ratio. Included patients have age ≥18 years, normal organ function, KPS≥70, EGFR- and ALK-negative primary tumor, and ≤3 BM, with ≥1 BM meeting measurable disease RANO-BM criteria. Patients on both arms receive standard-of-care therapy, while those on arm 1 also undergo LIFU before each dose of pembrolizumab (200 mg IV every 3 weeks). These patients undergo pre-treatment MRI brain, followed by IV administration of oscillating microbubbles for enhanced sonication. MR-guided BBBD is then performed using 220 kHz LIFU device with real-time acoustic feedback. Pembrolizumab is infused immediately thereafter, and repeat MRI done confirming BBB closure each cycle. Primary study endpoint is overall objective response rate (ORR) at 6 months as per RANO-BM criteria. Using a Bayesian design, a superior ORR of 60% is assumed for the LIFU arm versus 30% in the control arm for N = 96, 64 subjects in LIFU and 32 in control arm, for 80% power, with alpha = 0.05. For upper-bound estimate ORR of 45% in LIFU arm and 30% in control arm, the study needs N = 369 subjects; 246 in the LIFU arm and 123 in the control arm. Secondary outcomes are the best overall response rate and median time-to-response. Exploratory outcomes are median PFS, OS, intracranial PFS, extracranial PFS, and quality of life. Clinical trial information: NCT05317858.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.278
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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