Cargando…

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

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) radiat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Wei, Oraiqat, Ibrahim, Litzenberg, Dale, Chang, Kai-Wei, Hadley, Scott, Sunbul, Noora Ba, Matuszak, Martha M., Tichacek, Christopher J., Moros, Eduardo G., Carson, Paul L., Cuneo, Kyle C., Wang, Xueding, El Naqa, Issam
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group US 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314963/ https://www.ncbi.nlm.nih.gov/pubmed/36593414 http://dx.doi.org/10.1038/s41587-022-01593-8

Ejemplares similares

434 Ionizing radiation acoustic imaging (iRAI) for volumetric mapping the dose deep in the liver during radiation therapy
por: Zhang, Wei, et al.
Publicado: (2023)

Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy
por: Zhang, Wei, et al.
Publicado: (2020)

A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy
por: Luo, Yi, et al.
Publicado: (2022)

Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy
por: Niraula, Dipesh, et al.
Publicado: (2021)

Author Correction: Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy
por: Niraula, Dipesh, et al.
Publicado: (2023)

A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)
por: Niraula, Dipesh, et al.
Publicado: (2023)

Editorial: Machine Learning With Radiation Oncology Big Data
por: Deng, Jun, et al.
Publicado: (2018)

Machine learning in radiation oncology: theory and applications
por: El Naqa, Issam, et al.
Publicado: (2015)

In silico trials of combination immuno-radiation for unresectable hepatocellular carcinoma
por: Mendiratta-Lala, Mishal, et al.
Publicado: (2023)

Serum Levels of Hepatocyte Growth Factor and CD40 Ligand Predict Radiation-Induced Liver Injury()()()
por: Cuneo, Kyle C., et al.
Publicado: (2019)

Investigating the SPECT Dose-Function Metrics Associated With Radiation-Induced Lung Toxicity Risk in Patients With Non-small Cell Lung Cancer Undergoing Radiation Therapy
por: Owen, Daniel R., et al.
Publicado: (2021)

Verification of dynamic and segmental IMRT delivery by dynamic log file analysis
por: Litzenberg, Dale W., et al.
Publicado: (2002)

Interpretable artificial intelligence in radiology and radiation oncology
por: Cui, Sunan, et al.
Publicado: (2023)

Accurate, repeatable, and geometrically precise diffusion-weighted imaging on a 0.35 T magnetic resonance imaging-guided linear accelerator
por: Weygand, Joseph, et al.
Publicado: (2023)

A Safe and Practical Cycle for Team-Based Development and Implementation of In-House Clinical Software
por: Moran, Jean M., et al.
Publicado: (2021)

Current status and future developments in predicting outcomes in radiation oncology
por: Niraula, Dipesh, et al.
Publicado: (2022)

Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling
por: Luo, Yi, et al.
Publicado: (2019)

Predicting deliverability of volumetric‐modulated arc therapy (VMAT) plans using aperture complexity analysis
por: Younge, Kelly C., et al.
Publicado: (2016)

A Monte Carlo Method for Determining the Response Relationship between Two Commonly Used Detectors to Indirectly Measure Alpha Particle Radiation Activity
por: Tichacek, Christopher J., et al.
Publicado: (2019)

SafetyNet: streamlining and automating QA in radiotherapy
por: Hadley, Scott W., et al.
Publicado: (2016)

A precision translation stage for reproducing measured target volume motions
por: Litzenberg, Dale W., et al.
Publicado: (2007)

Surface buildup dose dependence on photon field delivery technique for IMRT
por: Yokoyama, Shigeru, et al.
Publicado: (2004)

The big data effort in radiation oncology: Data mining or data farming?
por: Mayo, Charles S., et al.
Publicado: (2016)

Comparison of quantitative and qualitative scoring approaches for radiation-induced pulmonary fibrosis as applied to a preliminary investigation into the efficacy of mesenchymal stem cell delivery methods in a rat model
por: Wang, Li Ming, et al.
Publicado: (2021)

Development and Clinical Implementation of an Automated Virtual Integrative Planner for Radiation Therapy of Head and Neck Cancer
por: Jaworski, Elizabeth M., et al.
Publicado: (2022)

Bioinformatics Methods for Learning Radiation-Induced Lung Inflammation from Heterogeneous Retrospective and Prospective Data
por: Spencer, Sarah J., et al.
Publicado: (2009)

IONIZING RADIATION AND VOLUMETRIC MAMMOGRAPHIC DENSITY
por: Pepłońska, Beata, et al.
Publicado: (2022)

Validation of Delivery Consistency for Intensity-Modulated Radiation Therapy and Volumetric-Modulated Arc Therapy Plans
por: Woon, Wui Ann, et al.
Publicado: (2018)

Incorporating big data into treatment plan evaluation: Development of statistical DVH metrics and visualization dashboards
por: Mayo, Charles S., et al.
Publicado: (2017)

Measurement‐guided volumetric dose reconstruction for helical tomotherapy
por: Stambaugh, Cassandra, et al.
Publicado: (2015)

National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation
por: Kang, John, et al.
Publicado: (2021)

Improved prediction of radiation pneumonitis by combining biological and radiobiological parameters using a data-driven Bayesian network analysis
por: Hinton, Tonaye, et al.
Publicado: (2022)

Drug delivery monitoring by photoacoustic tomography with an ICG encapsulated double emulsion
por: Rajian, Justin Rajesh, et al.
Publicado: (2011)

Image-Guided Fluorescence Endomicroscopy: From Macro- to Micro-Imaging of Radiation-Induced Pulmonary Fibrosis
por: Perez, Jessica R., et al.
Publicado: (2017)

Big Data Analytics for Prostate Radiotherapy
por: Coates, James, et al.
Publicado: (2016)

Current status of Radiomics for cancer management: Challenges versus opportunities for clinical practice
por: Li, Hua, et al.
Publicado: (2020)

Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges
por: Coates, James T. T., et al.
Publicado: (2021)

A hybrid volumetric dose verification method for single‐isocenter multiple‐target cranial SRS
por: Ahmed, Saeed, et al.
Publicado: (2018)

Dosimetric comparison of intensity modulated and volumetric arc radiation therapy for gastric cancer
por: LI, ZHIPING, et al.
Publicado: (2014)

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy
por: Jochems, Arthur, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_hgcb6htsghisemeb5pg81imire