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. 2024 Nov 11;26(Suppl 8):viii103. doi: 10.1093/neuonc/noae165.0398

CTNI-31. AI-GUIDED PERSONALIZED PRECISION RADIATION THERAPY WITH TARGETED DOSE ESCALATION FOR NEWLY DIAGNOSED GLIOBLASTOMA: A MATCHED-CONTROL STUDY

Hamed Akbari 1, Suyash Mohan 2, Anahita Fathi Kazerooni 3, Saima Rathore 4, Michel Bilello 5, Chiharu Sako 6, Jose Garcia 7, Cecilia Jiang 8, Fang Liu 9, Melanie Berger 10, Steven Brem 11, Spyridon Bakas 12, Elizabeth Mamourian 13, Abigail Pepin 14, Paul James 15, Jay Dorsey 16, Ashish Singh 17, Drew Parker 18, Ragini Verma 19, Quy Cao 20, Russell T Shinohara 21, Stephen J Bagley 22, Arati Desai 23, Donald M O’Rourke 24, MacLean Nasrallah 25, Michelle Alonso-Basanta 26, Boon-Keng Kevin Teo 27, Goldie Kurtz 28, Gaurav Shukla 29, Robert A Lustig 30, Christos Davatzikos 31
PMCID: PMC11552867

Abstract

BACKGROUND

The purpose of this study was to assess the feasibility and effectiveness of AI-guided personalized precision radiation therapy (PPRT) with targeted dose escalation in enhancing outcomes for patients with newly diagnosed glioblastoma.

METHODS

An open-label trial was conducted at the University of Pennsylvania (NCT03477513) from August 2018 to April 2023, enrolling 20 patients with IDH-wildtype glioblastoma who underwent maximal safe resection. They were matched with a contemporaneous cohort of glioblastoma patients based on age, sex, extent of resection (EOR), O6-methylguanine-DNA methyltransferase promoter (MGMTp) methylation status, and IDH status. Propensity score matching (PSM) was employed to select the control group, utilizing one-to-four nearest neighbor matching. One patient was excluded due to concurrent treatment with tumor treating fields (TTFields). The PPRT group received personalized radiation dose escalation to 75 Gy in 30 fractions guided by AI-based predictive modeling of recurrence, along with temozolomide chemotherapy. The control group received standard-of-care chemoradiotherapy, 60 Gy in 30 fractions. A previously published and evaluated (retrospectively and prospectively) predictive AI model, which has demonstrated high predictive value for neoplastic cell infiltration and future tumor recurrence using preoperative, multi-parametric MRIs, was utilized.

RESULTS

Median overall survival was 24.3 months in the PPRT-temozolomide group compared to 17.5 months in the standard-of-care treatment group (hazard ratio [HR]=0.30; 95% CI: 0.16-0.57; p<0.001). Excluding two patients with leptomeningeal disease and bone marrow metastasis, the median survival was 35.4 months (HR=0.25; 95% CI: 0.12-0.51; p<0.001).

CONCLUSION

AI-guided PPRT for newly diagnosed glioblastoma patients demonstrated feasibility in routine clinical practice and significantly improved overall survival compared to matched controls receiving standard-of-care treatment. These findings underscore the potential of personalized precision radiation therapy, with focused dose escalation, in improving outcomes for glioblastoma patients and emphasize the need for prospective validation in a randomized controlled clinical trial.


Articles from Neuro-Oncology are provided here courtesy of Society for Neuro-Oncology and Oxford University Press

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