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248 results for “proton therapy”
Machine Learning Features from Proton Therapy Treatment Simulations with the Bergen DTC Prototype for Range Verification
<p>Extracted features from the simulation data found at DOI: <a href="https://doi.org/10.5281/zenodo.8192778">10.5281/zenodo.8192778</a></p> <p>Each simulation constitutes a single data sample. The following features were extracted.</p> <p>Detector features:</p> <ul> <li>Total number of active pixels</li> <li>Total number of clusters (hits)</li> <li>Number of clusters over threshold (5, 20 pixels)</li> <li>Mean and standard deviation of cluster sizes</li> <li>The number of clusters of any given size (1–72)</li> <li>Mean and standard deviation of x- and y-coordinates over each layer (0–42), and the entire detector</li> <li>Number of active pixels in each layer (0–42)</li> <li>Number of clusters (hits) in each layer (0–42)</li> <li>Total energy deposition of the hits in each layer (0–42)</li> </ul> <p>Higher-level detector features, i.e., function fits (linear, cubic, exponential) with their mean squared residuals over the following quantities:</p> <ul> <li>Active pixels over layer</li> <li>Number of clusters over layer</li> <li>Total deposited energy over layer</li> </ul> <p>201 RSP features extracted from the beam spot, the phantom rotation, and its 3D RSP image.</p> <p>Two datasets are included in two separate archive files:</p> <ul> <li><strong>features.tar.gz:</strong> 715-HN phantom by CIRS Inc. (Norfolk, VA, United States), digitized by Giacometti et al. (2017).</li> <li><strong>features-vhf.tar.gz:</strong> The Visible Human Female (VHF) Head phantom (Ackermann et al. 1995), courtesy of the U.S. National Library of Medicine, resampled to 1 mm voxels and scaled down to 80% size in the simulation.</li> </ul> <p>After extracting features, some outliers were removed from the datasets: 14 samples for 715-HN and 3 samples for VHF. The rest of the samples were split into train (70%), validation (10%), and test (20%) sets, for both phantoms separately, which can be found in separate CSV files: features_train.csv, features_val.csv, features_test.csv (715-HN) and features-vhf_train.csv, features-vhf_val.csv, features-vhf_test.csv (VHF).</p> <p>The last file (features_shifted_test.csv (715-HN) and features-vhf_shifted_test.csv (VHF)) contains 40 additional samples for each data point in the respective test set, representing a simulated lateral shift between 1 mm and 10 mm in 1 mm intervals in all directions along the x- and y-axis of the beam.</p>
Proton Therapy Treatment Simulations with the Bergen DTC Prototype for Range Verification
<p>This dataset contains proton therapy Monte Carlo simulations using GATE (Jan et al. 2004) version 9.2 and Geant4 (Agostinelli et al. 2003; Allison et al. 2006; Allison et al. 2016) version 11.0.0. The treatment targets are the pediatric head phantom 715-HN by CIRS Inc. (Norfolk, VA, United States), digitized by Giacometti et al. (2017), and The Visible Human Female (VHF) head, courtesy of the U.S. National Library of Medicine, resampled to 1 mm voxels and scaled down to 80%. Distal to the phantom, is a simplified geometry of the digital tracking calorimeter designed by the <a href="https://www.uib.no/en/ift/142356/medical-physics-bergen-pct-project">Bergen pCT collaboration</a> for proton computed tomography (Alme et al. 2020).</p> <ul> <li><strong>treatment_simulations.tar.gz:</strong> 36258 simulations with the 715-HN phantom</li> <li><strong>treatment_simulations_vhf.tar.gz:</strong> 35673 simulations with the VHF phantom</li> </ul> <p>Each simulation is a single pencil beam with <span class="math-tex">\(10^7\)</span> primary protons. To determine valid spots to use, probing simulations with <span class="math-tex">\(10^5\)</span> primaries were conducted, where the beam position, energy, and phantom rotation were varied: 10 mm interval in the xy-plane for the beam position, 3 mm water range interval for the beam energy, and 30° rotations of the phantom. If no primary was found in the detecter after the probing simulation, it is a valid spot for the dataset.</p> <p>Resulting hit files, containing simulated detector readout, can be found in the archive files for the respective phantom. Each simulation is accompanied by a metafile in JSON format, specifying all parameters used to produce the output. E.g., beam position and energy can be found in "parameters" -> "beam_spot_x", "beam_spot_y", "beam_energy" and the phantom rotation can be found in "parameters" -> "phantom_rotation_angle".</p> <p>Simulation data has been pre-processed with two steps. First, hits for the same track in the same layer are binned together into a single entry by averaging the positions (posX, posY, posZ) and summing the energy depositions (edep). Second, the energy deposition values are discretized into a cluster size and back into MeV, to represent the energy resolution of the ALPIDE chip (Alme et al. 2020). Clusters of size 0 are removed. Additionally, some of the unused GATE output columns are removed and a column specifying the detector layer is created through the formula layer = 2*volumeID[2] + volumeID[3]. Details about the meaning of the other output columns can be found in the <a href="https://opengate.readthedocs.io/en/latest/data_output_management.html">GATE documentation</a>.</p>
METADATA for results of irradiation-induced complex DNA damage measurements using plasmid pBR322 along a typical Proton Treatment Plan at the MedAustron proton and carbon beam therapy facility (energy 137–198 MeV and Linear Energy Transfer (LET) range 1–9 keV/μm), by means of Agarose Gel Electrophoresis and DNA fragmentation using Atomic Force Microscopy (AFM)
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The effect of irregular breathing on the interplay effect in pencil beam scanning proton therapy
<p>All relevant files for this thesis: breathing patterns, input script for the interplay calculator, beam logs, raw results and figures</p>
Beam properties within the momentum acceptance of a clinical gantry beamline for proton therapy
<p>Publicly accessible data associated with the publication: </p><p><strong>Beam properties within the momentum acceptance of aclinical gantry beamline for proton therapy</strong>. </p><p>AC Giovannelli, V Maradia, D Meer, S Safai, S Psoroulas, M Togno, C Bula, DC Weber, AJ Lomax, G Fattori. Med Phys 2022;49(3):1417-1431. <a href="https://doi.org/10.1002/mp.15449">https://doi.org/10.1002/mp.15449</a></p><p>Data generated within the project "New concept for adaptive real time tumour tracking" funded by the Swiss National Science Foundation (SNSF) under grant agreement 200021_185082: <a href="https://data.snf.ch/grants/grant/185082">https://data.snf.ch/grants/grant/185082</a> </p><p> </p>
Impact of New Developments in the Commissioning of Operational Radiation Protección in Compact Proton Therapy Centers (CPTC)
<p>Proton therapy is in continuous ever evolving to improve its performance. Some prominent current trends involve cutting-edge delivery methods or building compact proton centers. New developments have a direct impact in radiation protection of proton facilities and actions should be developed continuously with the aim that new centers meet all the requirements. The study of radiological protection in multi-room centers has been widely studied elsewhere, however, compact centers have specific features that pose a challenge in radiation protection, and the present work suggest different contributions to the body of knowledge in these compact facilities. Compact Proton Therapy Centers (CPTC) act out latest advances in particles: Usually have one single room, small footprint and a standard configuration, higher radiation density (Sv/m<sup>2</sup>), using the most advanced equipment and machinery to reduce their size, the delivery mode of protons is Pencil Beam Scanning (PBS), and there is a mix of professional exposed workers (clinical and technical staff) in these centers.</p> <p>The present work is framed into the project Contributions to operational radiation protection and neutron dosimetry in compact proton therapy centers (CPTC), which is focused on assessing the impact of these innovations on the operational radiation protection and commissioning of the compact facilities. Thus, several tasks have been carried out over the last three years, as checking and evaluation of shielding, comparing ambient dose equivalent of several CPTC, analyzing activation with different types of concrete, and activation in machinery, air and water of the facility, characterizing wide range rem-meters and neutron area monitors to measure neutron fields, studying new proton delivery techniques and their neutron fields, or assessing personal dosemeters, among others. The aim of the work is to present outcomes achieved in the aforementioned areas. As a result, a commissioning process of the operational radiation protection in compact centers will be suggested, lined up with the requirements by the Spanish Regulatory Body.</p> <p>Considering topics as new methods of application of dose in development (proton arc therapy, flash-therapy with protons), new materials for barriers and shielding or recent radiation monitoring equipment, future works must be carried out to study their impact on operational radiation protection and recommendations such as ICRP Publication 127, Radiological Protection in Ion Beam Radiotherapy, should be updated periodically taking into account the new methods and technologies developed.</p>
Optimizing Nozzle Travel Time in Proton Therapy [Dataset]
<p>Dataset of instances taken into account by the paper, together with solutions and achieved computational time.</p> <p>Manuscript submitted to 2022 IEEE-CBMS.</p> <p><em>ABSTRACT - Proton therapy is an oncological therapy that is more expensive than classical radiotherapy but that is considered the gold standard in several situations. Moreover, since there is still a limited amount of delivering facilities for this techniques, it is fundamental to increase the number of treated patients over time.<br> The objective of this work is to offer an insight on the problem of the optimization of the part of the delivery time of a treatment plan that relates to the movements of the system. We denote it as the Nozzle Travel Time Problem (NTTP), in analogy with the Leaf Travel Time Problem (LTTP) in classical radiotherapy.<br> In particular this work: (i) describes a mathematical model for the delivery system and formalize the optimization problem for finding the optimal sequence of movements of the system (nozzle and bed) that satisfies the covering of the prescribed irradiation directions; (ii) provides an optimization pipeline that solves the problem for instances with an amount of irradiation directions much greater than those usually employed in the clinical practice; (iii) reports preliminary results about the effects of employing two different resolution strategies within the aforementioned pipeline, that rely on an exact Traveling Salesmna Problem (TSP) solver (Concorde) and an efficient heuristic Vehicle Routing Open-source Optimization Machine (VROOM).</em></p> <p> </p> <p>For each combination of system features (SF1, SF2, SF3) and distance metric (L1 and Linf), 50 runs (5 session by 10 runs) with prescribed fields from 5 to 100 (step 5) have been executed.</p> <p>- 'grph' folder contains GTSP and ATSP instances in GraphML and txt format.</p> <p>- 'vrinst' folder contains ATSP instances, expressed as VRP instances, in json format, to be fed into VROOM</p> <p>- 'tsps' folder contains symmetric TSP instances in TSPLIB format to be fed into Concorde</p> <p>- 'ress' folder contains result of optimizzation obtained by Concorde (.sol and .res formats) and VROOM (.json)</p> <p>all the files in these folders is named as [SF#]_[distanceMetric][[prescribedFields#]_[subrun]][Session8charsCode], so that, for example "SF3_Linf[100_9]2e275d41" represents the 100 fields result of the 9th subrun of the session with code 2e275d41, where SF3 and Linf norm have been taken into account.</p> <p>- 'resultsNPY' folder contains .npy file about computation time and computed travel time for both solvers</p> <p> </p>
Peripheral blood TCRseq data in AIRR-C format for cancer patients who received either photon or proton based radiation therapy
<p>These are the AIRR-C format converted data from the original Adaptive ImmunoSEQ v2 data format.</p> <p>See the analysis repo for more information: <a href="https://github.com/JamieHeather/radiation-induced-lymphopenia-paper-analysis" target="_blank" rel="noopener">https://github.com/JamieHeather/radiation-induced-lymphopenia-paper-analysis</a>.</p>
Study of Proton Therapy in Adjuvant Pancreatic Cancer
ClinicalTrials.gov study NCT03885284. IPD Sharing: NO. Countries: 1. Publications: 0.
Proton Therapy for Early Stage Breast Cancer
ClinicalTrials.gov study NCT00614172. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Proton Beam Radiation Therapy in Treating Young Patients Who Have Undergone Biopsy or Surgery for Medulloblastoma or Pineoblastoma
ClinicalTrials.gov study NCT00105560. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study of Hypofractionated Proton Beam Radiation Therapy for Prostate Cancer
ClinicalTrials.gov study NCT00831623. IPD Sharing: Not stated. Countries: 1. Publications: 12.
ProspectiveTrial of Proton Beam Combined With Anti-VEGF Therapy for Exudative Age-related Macular Degeneration (AMD)
ClinicalTrials.gov study NCT01213082. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Proton Therapy for Lymph Nodes in Breast Cancer
ClinicalTrials.gov study NCT01365845. IPD Sharing: UNDECIDED. Countries: 1. Publications: 21.
18F-DOPA-PET/MRI Scan in Imaging Elderly Patients With Newly Diagnosed Grade IV Malignant Glioma or Glioblastoma During Planning for a Short Course of Proton Beam Radiation Therapy
ClinicalTrials.gov study NCT03778294. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hypofractionation Proton Beam Therapy With Concurrent Treatment of Prostate and Pelvic Nodes for Prostate Cancer
ClinicalTrials.gov study NCT02874014. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Proton Beam Radiation Therapy and Chemotherapy in Treating Patients With Stage III Non-Small Cell Lung Cancer That Can Be Removed By Surgery
ClinicalTrials.gov study NCT01076231. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy of Dexlansoprazole MR on Heartburn Control in Participants Previously Receiving Twice Daily Proton Pump Inhibitor Therapy
ClinicalTrials.gov study NCT00847808. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Proton Radiation Therapy for Invasive Breast Cancer Following Mastectomy
ClinicalTrials.gov study NCT01340495. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Two-fraction Proton Therapy With MRI Guidance for Prostate Cancer: A Phase II Trial
ClinicalTrials.gov study NCT07130682. IPD Sharing: NO. Countries: 1. Publications: 10.
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