Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (7)

Search Parameters:
Authors = Micah Barnes

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
21 pages, 10416 KiB  
Article
Combinational Radiotherapies Improve Brain Cancer Treatment at High Dose Rates In Vitro
by Michael Valceski, Elette Engels, Sarah Vogel, Jason Paino, Dylan Potter, Carolyn Hollis, Abass Khochaiche, Micah Barnes, Alice O’Keefe, Matthew Cameron, Kiarn Roughley, Anatoly Rosenfeld, Michael Lerch, Stéphanie Corde and Moeava Tehei
Cancers 2025, 17(10), 1713; https://doi.org/10.3390/cancers17101713 - 20 May 2025
Viewed by 3248
Abstract
Background/objectives: Brain cancer remains difficult to treat, with survival statistics stagnant for decades. The resistance of glioblastoma brain tumours can greatly challenge the effectiveness of conventional cancer radiotherapy. However, high dose rate radiotherapy has unique effects that allow for normal tissue sparing whilst [...] Read more.
Background/objectives: Brain cancer remains difficult to treat, with survival statistics stagnant for decades. The resistance of glioblastoma brain tumours can greatly challenge the effectiveness of conventional cancer radiotherapy. However, high dose rate radiotherapy has unique effects that allow for normal tissue sparing whilst maintaining tumour control. The addition of targeted radiosensitisers, such as the chemotherapeutic drug methotrexate (MTX) or the high-Z halogenated pyrimidine drug iododeoxyuridine (IUdR), can improve radiotherapy outcomes. Combining these radiosensitiser agents with ultra-high dose rate (UHDR) synchrotron X-rays can bear synergistic effects to enhance the efficacy of these multi-modal UHDR therapies, providing a means to overcome the radioresistance of brain cancer. Methods: Here, we use controlled in vitro assays following treatment, including a clonogenic assay to determine long-term cell survival and γH2AX immunofluorescent confocal microscopy to quantify double-strand DNA breaks (DSBs). Results: We find significant enhancement for highly synergistic combinations of IUdR+MTX with synchrotron X-rays. Cell survival results demonstrate 5.4 times increased 9L gliosarcoma cell killing when these agents are combined with UHDR synchrotron X-rays compared with conventional X-rays alone at the same 5 Gy dose. The underlying mechanisms are unveiled using γH2AX imaging and reveal significant increases in DSBs and dying cells following exposure to UHDR radiation. Conclusions: Our results demonstrate that highly synergistic combination treatments using UHDR synchrotron radiation can yield significantly improved brain cancer killing compared with conventional radiotherapy. We anticipate that these additive, multi-modal combination therapies will provide options for more targeted and effective use of radiotherapies for the future treatment of brain cancer. Full article
(This article belongs to the Section Cancer Therapy)
Show Figures

Graphical abstract

23 pages, 3368 KiB  
Article
Microbeam Radiation Therapy Bio-Dosimetry Enhanced by Novel Radiosensitiser Combinations in the Treatment of Brain Cancer
by Michael Valceski, Elette Engels, Sarah Vogel, Jason Paino, Dylan Potter, Carolyn Hollis, Abass Khochaiche, Micah Barnes, Alice O’Keefe, Matthew Cameron, Kiarn Roughley, Anatoly Rosenfeld, Michael Lerch, Stéphanie Corde and Moeava Tehei
Cancers 2024, 16(24), 4231; https://doi.org/10.3390/cancers16244231 - 19 Dec 2024
Cited by 2 | Viewed by 5307
Abstract
Background/Objectives: Brain cancer is notoriously resistant to traditional treatments, including radiotherapy. Microbeam radiation therapy (MRT), arrays of ultra-fast synchrotron X-ray beams tens of micrometres wide (called peaks) and spaced hundreds of micrometres apart (valleys), is an effective alternative to conventional treatments. MRT’s [...] Read more.
Background/Objectives: Brain cancer is notoriously resistant to traditional treatments, including radiotherapy. Microbeam radiation therapy (MRT), arrays of ultra-fast synchrotron X-ray beams tens of micrometres wide (called peaks) and spaced hundreds of micrometres apart (valleys), is an effective alternative to conventional treatments. MRT’s advantage is that normal tissues can be spared from harm whilst maintaining tumour control. Combining MRT with targeted radiosensitisers, such as nanoparticles, chemotherapeutic drugs, and halogenated pyrimidine drugs, can further improve radiotherapy by enhancing radiation damage. However, the underlying mechanisms of MRT are still being understood, which is essential to ensuring the reliable and successful use of MRT. Methods: An in vitro study was performed using γH2AX imaging, and quantification was performed via confocal microscopy and a clonogenic cell survival assay. Results: We show that methotrexate chemotherapeutics and iododeoxyuridine enhance MRT cell-killing and thulium oxide nanoparticles (TmNPs) broaden MRT peaks, and using γH2AX immunofluorescent confocal microscopy to quantify DNA damage, we further our knowledge of MRT mechanisms. γH2AX images verify the biological responses of cells aligning with the physical collimation of MRT, and we can accurately measure MRT microbeam characteristics bio-dosimetrically. The peak-to-valley dose ratio (PVDR), the ratio of the peak dose to the valley dose that characterises an MRT field, was accurately measured biologically using γH2AX imaging, despite studies previously finding this challenging. Conclusions: The measurement of biological PVDR has been performed for the first time with high-Z radiosensitisers, including nanoparticles, and several novel radiosensitiser-enhanced MRT mechanisms were discovered. Our results deepen our understanding of MRT with radiosensitisers, and can contribute to its accurate and future successful use in treating cancer. Full article
(This article belongs to the Special Issue Application of Fluorescence Imaging in Cancer)
Show Figures

Graphical abstract

20 pages, 3270 KiB  
Article
Modulating Synchrotron Microbeam Radiation Therapy Doses for Preclinical Brain Cancer
by Elette Engels, Jason R. Paino, Sarah E. Vogel, Michael Valceski, Abass Khochaiche, Nan Li, Jeremy A. Davis, Alice O’Keefe, Andrew Dipuglia, Matthew Cameron, Micah Barnes, Andrew W. Stevenson, Anatoly Rosenfeld, Michael Lerch, Stéphanie Corde and Moeava Tehei
Radiation 2023, 3(4), 183-202; https://doi.org/10.3390/radiation3040015 - 14 Oct 2023
Cited by 3 | Viewed by 2996
Abstract
Synchrotron Microbeam Radiation Therapy (MRT) is an innovative technique that spatially segments the synchrotron radiation field for cancer treatment. A microbeam peak dose is often hundreds of times the dose in the valley (the sub-millimeter region between the peaks of the microbeams). Peak [...] Read more.
Synchrotron Microbeam Radiation Therapy (MRT) is an innovative technique that spatially segments the synchrotron radiation field for cancer treatment. A microbeam peak dose is often hundreds of times the dose in the valley (the sub-millimeter region between the peaks of the microbeams). Peak and valley doses vary with increasing depth in tissue which effects tumor dose coverage. It remains to be seen whether the peak or valley is the primary factor in MRT cancer control. This study investigates how unilateral MRT doses can be modulated using a bolus, and identifies the valley dose as a primary factor in MRT cancer control. Fischer rats bearing 9 L gliosarcoma tumors were irradiated with MRT at the Imaging and Medical Beam Line of the Australian Synchrotron. MRT valley doses of 8–15 Gy (250–1040 Gy peak doses) were used to treat tumors with and without a 5 mm dose-modulating bolus. Long-term survival depended on the valley dose primarily (92% correlation), and the use of the bolus reduced the variance in animal survival and improved to the mean survival of rats treated with MRT by 47% and 18% using 15 Gy and 8 Gy valley doses, respectively. Full article
Show Figures

Figure 1

15 pages, 5203 KiB  
Article
DoseMRT: A Software Package for Individualised Monte Carlo Dose Calculations of Synchrotron-Generated Microbeam Radiation Therapy
by Jason Paino, Matthew Cameron, Matthew Large, Micah Barnes, Elette Engels, Sarah Vogel, Moeava Tehei, Stéphanie Corde, Susanna Guatelli, Anatoly Rosenfeld and Michael Lerch
Radiation 2023, 3(2), 123-137; https://doi.org/10.3390/radiation3020011 - 20 Jun 2023
Cited by 5 | Viewed by 2767
Abstract
This work describes the creation and experimental validation of DoseMRT, a new software package, and its associated workflow for dose calculations in synchrotron-generated broad beam and microbeam radiation treatment fields. The [...] Read more.
This work describes the creation and experimental validation of DoseMRT, a new software package, and its associated workflow for dose calculations in synchrotron-generated broad beam and microbeam radiation treatment fields. The DoseMRT software package allows users to import CT DICOM datasets into Geant4 for Monte Carlo dose calculations. It also provides basic treatment planning capabilities, simplifying the complexity of performing Geant4 simulations and making our Monte Carlo dose calculation algorithm accessible to a broader range of users. To demonstrate the new package, dose calculations are validated against experimental measurements performed in homogeneous water tank phantoms and the anatomically complex Alderson Radiotherapy Phantom for both broad-beam and microbeam configurations. Additionally, DoseMRT is successfully utilised as the primary method for patient-specific treatment prescription in an in vivo experiment involving tumour-bearing rats at the Imaging and Medical Beamline of the Australian Synchrotron. Full article
Show Figures

Figure 1

13 pages, 1697 KiB  
Article
The Spinal Cord as Organ of Risk: Assessment for Acute and Subacute Neurological Adverse Effects after Microbeam Radiotherapy in a Rodent Model
by Felix Jaekel, Jason Paino, Elette Engels, Mitzi Klein, Micah Barnes, Daniel Häusermann, Christopher Hall, Gang Zheng, Hongxin Wang, Guido Hildebrandt, Michael Lerch and Elisabeth Schültke
Cancers 2023, 15(9), 2470; https://doi.org/10.3390/cancers15092470 - 26 Apr 2023
Cited by 3 | Viewed by 2003
Abstract
Microbeam radiotherapy (MRT), a high dose rate radiotherapy technique using spatial dose fractionation at the micrometre range, has shown a high therapeutic efficacy in vivo in different tumour entities, including lung cancer. We have conducted a toxicity study for the spinal cord as [...] Read more.
Microbeam radiotherapy (MRT), a high dose rate radiotherapy technique using spatial dose fractionation at the micrometre range, has shown a high therapeutic efficacy in vivo in different tumour entities, including lung cancer. We have conducted a toxicity study for the spinal cord as organ of risk during irradiation of a target in the thoracic cavity. In young adult rats, the lower thoracic spinal cord was irradiated over a length of 2 cm with an array of quasi-parallel microbeams of 50 µm width, spaced at a centre-to-centre distance of 400 µm, with MRT peak doses up to 800 Gy. No acute or subacute adverse effects were observed within the first week after irradiation up to MRT peak doses of 400 Gy. No significant differences were seen between irradiated animals and non-irradiated controls in motor function and sensitivity, open field test and somatosensory evoked potentials (SSEP). After irradiation with MRT peak doses of 450–800 Gy, dose-dependent neurologic signs occurred. Provided that long-term studies do not reveal significant morbidity due to late toxicity, an MRT dose of 400 Gy can be considered safe for the spinal cord in the tested beam geometry and field size. Full article
(This article belongs to the Special Issue Steps towards the Clinics in Spatially Fractionated Radiation Therapy)
Show Figures

Figure 1

17 pages, 6241 KiB  
Article
Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations
by Florian Mentzel, Jason Paino, Micah Barnes, Matthew Cameron, Stéphanie Corde, Elette Engels, Kevin Kröninger, Michael Lerch, Olaf Nackenhorst, Anatoly Rosenfeld, Moeava Tehei, Ah Chung Tsoi, Sarah Vogel, Jens Weingarten, Markus Hagenbuchner and Susanna Guatelli
Cancers 2023, 15(7), 2137; https://doi.org/10.3390/cancers15072137 - 4 Apr 2023
Cited by 5 | Viewed by 2875
Abstract
Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumor diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Monte Carlo (MC) simulations are one of the most used methods at the Imaging [...] Read more.
Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumor diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Monte Carlo (MC) simulations are one of the most used methods at the Imaging and Medical Beamline, Australian Synchrotron to calculate the dose in MRT preclinical studies. The steep dose gradients associated with the 50μm-wide coplanar beamlets present a significant challenge for precise MC simulation of the dose deposition of an MRT irradiation treatment field in a short time frame. The long computation times inhibit the ability to perform dose optimization in treatment planning or apply online image-adaptive radiotherapy techniques to MRT. Much research has been conducted on fast dose estimation methods for clinically available treatments. However, such methods, including GPU Monte Carlo implementations and machine learning (ML) models, are unavailable for novel and emerging cancer radiotherapy options such as MRT. In this work, the successful application of a fast and accurate ML dose prediction model for a preclinical MRT rodent study is presented for the first time. The ML model predicts the peak doses in the path of the microbeams and the valley doses between them, delivered to the tumor target in rat patients. A CT imaging dataset is used to generate digital phantoms for each patient. Augmented variations of the digital phantoms are used to simulate with Geant4 the energy depositions of an MRT beam inside the phantoms with 15% (high-noise) and 2% (low-noise) statistical uncertainty. The high-noise MC simulation data are used to train the ML model to predict the energy depositions in the digital phantoms. The low-noise MC simulations data are used to test the predictive power of the ML model. The predictions of the ML model show an agreement within 3% with low-noise MC simulations for at least 77.6% of all predicted voxels (at least 95.9% of voxels containing tumor) in the case of the valley dose prediction and for at least 93.9% of all predicted voxels (100.0% of voxels containing tumor) in the case of the peak dose prediction. The successful use of high-noise MC simulations for the training, which are much faster to produce, accelerates the production of the training data of the ML model and encourages transfer of the ML model to different treatment modalities for other future applications in novel radiation cancer therapies. Full article
(This article belongs to the Special Issue Steps towards the Clinics in Spatially Fractionated Radiation Therapy)
Show Figures

Figure 1

16 pages, 4193 KiB  
Article
Incorporating Clinical Imaging into the Delivery of Microbeam Radiation Therapy
by Jason Paino, Micah Barnes, Elette Engels, Jeremy Davis, Susanna Guatelli, Michael de Veer, Chris Hall, Daniel Häusermann, Moeava Tehei, Stéphanie Corde, Anatoly Rosenfeld and Michael Lerch
Appl. Sci. 2021, 11(19), 9101; https://doi.org/10.3390/app11199101 - 30 Sep 2021
Cited by 7 | Viewed by 3198
Abstract
Synchrotron microbeam radiation therapy is a promising pre-clinical radiation treatment modality; however, it comes with many technical challenges. This study describes the image guidance protocol used for Australia’s first long-term pre-clinical MRT treatment of rats bearing 9L gliosarcoma tumours. The protocol utilises existing [...] Read more.
Synchrotron microbeam radiation therapy is a promising pre-clinical radiation treatment modality; however, it comes with many technical challenges. This study describes the image guidance protocol used for Australia’s first long-term pre-clinical MRT treatment of rats bearing 9L gliosarcoma tumours. The protocol utilises existing infrastructure available at the Australian Synchrotron and the adjoining Monash Biomedical Imaging facility. The protocol is designed and optimised to treat small animals utilising high-resolution clinical CT for patient specific tumour identification, coupled with conventional radiography, using the recently developed SyncMRT program for image guidance. Dosimetry performed in small animal phantoms shows patient dose is comparable to standard clinical doses, with a CT associated dose of less than 1.39cGy and a planar radiograh dose of less than 0.03cGy. Experimental validation of alignment accuracy with radiographic film demonstrates end to end accuracy of less than ±0.34mm in anatomical phantoms. Histological analysis of tumour-bearing rats treated with microbeam radiation therapy verifies that tumours are targeted well within applied treatment margins. To date, this technique has been used to treat 35 tumour-bearing rats. Full article
(This article belongs to the Special Issue Synchrotron Radiation for Medical Applications)
Show Figures

Figure 1

Back to TopTop