ArticleRadiation oncology (London, England)2021
Investigating the potential of proton therapy for hypoxia-targeted dose escalation in non-small cell lung cancer.
Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- A computational method to estimate the relative biological effectiveness and tumor control probability for low-LET proton irradiations.PloS one · 2026Article
- Microstructural modelling based on diffusion weighted imaging to guide dose painting in carbon ions for large sacral chordomas.Physics and imaging in radiation oncology · 2025Article
- Design of a Mobile and Electromagnetic Emissions-Compliant Brain Positron Emission Tomography (PET) Scanner.Sensors (Basel, Switzerland) · 2025Article
- Evaluating the technical feasibility of biology-guided dose painting in proton therapy.Physics and imaging in radiation oncology · 2025Article
- Hypoxia-informed RBE-weighted beam orientation optimization for intensity modulated proton therapy.Medical physics · 2024Article
- Enhancing radiotherapy outcomes in rectal cancer: A systematic review of targeting hypoxia-induced radioresistance.Clinical and translational radiation oncology · 2024Article
- A Review of Hypoxia Imaging Using 18F-Fluoromisonidazole Positron Emission Tomography.Methods in molecular biology (Clifton, N.J.) · 2024Article
- More than Five Decades of Proton Therapy: A Bibliometric Overview of the Scientific Literature.Cancers · 2023Article
- Combined RBE and OER optimization in proton therapy with FLUKA based on EF5-PET.Journal of applied clinical medical physics · 2023Article
- PI3K/AKT/mTOR pathway, hypoxia, and glucose metabolism: Potential targets to overcome radioresistance in small cell lung cancer.Cancer pathogenesis and therapy · 2023Review
- Personalized mid-course FDG-PET based adaptive treatment planning for non-small cell lung cancer using machine learning and optimization.Physics in medicine and biology · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHypoxia is known to be prevalent in solid tumors such as non-small cell lung cancer (NSCLC) and reportedly correlates with poor prognostic clinical outcome. PET imaging can provide in-vivo hypoxia measurements to support targeted radiotherapy treatment planning. We explore the potential of proton therapy in performing patient-specific dose escalation and compare it with photon volumetric modulated arc therapy (VMAT).
methodsDose escalation has been calibrated to the patient specific tumor response of ten stage IIb-IIIb NSCLC patients by combining HX4-PET imaging and radiobiological modelling of oxygen enhancement ratio (OER) to target variable tumor hypoxia. In a dose-escalation-by-contour approach, escalated dose levels were simulated to the most hypoxic region of the primary target and its effectiveness in improving loco-regional tumor control was assessed. Furthermore, the impact on normal tissue of proton treatments including dose escalation was evaluated in comparison to the normal tissue complication probability (NTCP) of conventional VMAT plans.
resultsIgnoring regions of tumor hypoxia can cause overestimation of TCP values by up to 10%, which can effectively be recovered on average to within 0.9% of the nominal TCP, using patient-specific dose escalations of up to 22% of the prescribed dose to PET defined hypoxic regions. Despite such dose escalations, the use of protons could also simultaneously reduce mean doses to the heart (- 14.3 Gy
conclusionsThis study suggests that the administration of proton therapy for dose escalation to patient specific regions of tumor hypoxia in the treatment of NSCLC can mitigate TCP reduction due to hypoxia-induced radio resistance, while simultaneously reducing NTCP levels even when compared to non-escalated treatments delivered with state-of-the-art photon techniques.
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