Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment.

Autor: Zhang W; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA., Oraiqat I; Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA., Litzenberg D; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA., Chang KW; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA., Hadley S; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA., Sunbul NB; Department of Nuclear Engineering, University of Michigan, Ann Arbor, MI, USA., Matuszak MM; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.; Department of Nuclear Engineering, University of Michigan, Ann Arbor, MI, USA., Tichacek CJ; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA., Moros EG; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA., Carson PL; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.; Department of Radiology, University of Michigan, Ann Arbor, MI, USA., Cuneo KC; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA. kcuneo@med.umich.edu., Wang X; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA. xdwang@umich.edu.; Department of Radiology, University of Michigan, Ann Arbor, MI, USA. xdwang@umich.edu., El Naqa I; Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA. issam.elnaqa@moffitt.org.; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA. issam.elnaqa@moffitt.org.; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA. issam.elnaqa@moffitt.org.
Jazyk: angličtina
Zdroj: Nature biotechnology [Nat Biotechnol] 2023 Aug; Vol. 41 (8), pp. 1160-1167. Date of Electronic Publication: 2023 Jan 02.
DOI: 10.1038/s41587-022-01593-8
Abstrakt: Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation's interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. We describe an iRAI volumetric imaging system that enables mapping of the three-dimensional (3D) radiation dose distribution in a complex clinical radiotherapy treatment. The method relies on a two-dimensional matrix array transducer and a matching multi-channel preamplifier board. The feasibility of imaging temporal 3D dose accumulation was first validated in a tissue-mimicking phantom. Next, semiquantitative iRAI relative dose measurements were verified in vivo in a rabbit model. Finally, real-time visualization of the 3D radiation dose delivered to a patient with liver metastases was accomplished with a clinical linear accelerator. These studies demonstrate the potential of iRAI to monitor and quantify the 3D radiation dose deposition during treatment, potentially improving radiotherapy treatment efficacy using real-time adaptive treatment.
(© 2023. The Author(s).)
Databáze: MEDLINE
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