A Novel Strategy to Improve Radiotherapy Effectiveness: First-in-Human MR-guided Focused Ultrasound-Stimulated Microbubbles (MRgFUS+MB) Radiation Enhancement Treatment
Bibliographic record
Abstract
Background and aim: Preclinical in vitro and in vivo experiments suggest that radiation-induced tumour cell death can be enhanced 10- to 40-fold when combined with focused-ultrasound (FUS)-stimulated microbubbles (MB). The acoustic exposure of MB in the tumour volume causes vasculature perturbation, activation of the acid sphingomyelinase (ASMase) ceramide pathway, and resultant endothelial cell apoptosis. When the tumour is subsequently treated with radiation, there is increased endothelial cell death and anoxic tumour killing. Here we describe a first-in-human experience treating patients with magnetic resonance (MR)-guided FUS-stimulated MB (MRgFUS+MB) radiation enhancement. Case presentation: A head and neck cancer patient with recurrent disease underwent radiotherapy for 5 separate sites of locoregional disease followed by systemic therapy. The first consisted of a course of 45 Gy in 5 fractions alone, the second of 30 Gy in 5 fractions with hyperthermia, and the three others of 20-30 Gy in 5 fractions along with MRgFUS+MB treatment. The treatment methodology used an MR-coupled FUS-device operating at 500 KHz and 540 kPa peak negative pressure with an insonification time of 750 ms spread over 5 minutes to stimulate intravenously administered MB within tumour target. All sites treated with stimulated MB had a complete radiological response, and subsequently, the patient’s other cutaneous metastatic disease disappeared. The patient has been under surveillance for over two years without active treatment or disease progression. Discussion: MRgFUS+MB was well-tolerated with no reported treatment-related adverse events, which can be attributed to the capability of FUS to selectively stimulate MB within the tumour volume while sparing the surrounding normal tissue. Sustained local control at all target sites aligns with earlier preclinical findings suggesting the radiation enhancement potential of FUS+MB. Conclusion: MRgFUS+MB represents a novel and promising therapy for enhancing radiation efficacy and improving therapeutic index with potential improvements in disease control.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".