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Novel dosimetric validation of a commercial CT scanner based deep learning automated contour solution for prostate radiotherapy Phys. Med. (IF 3.4) Pub Date : 2024-05-07 Salvatore Berenato, Matthew Williams, Owain Woodley, Christian Möhler, Elin Evans, Anthony E. Millin, Philip A. Wheeler
OAR delineation accuracy influences: (i) a patient’s optimised dose distribution (PD), (ii) the reported doses (RD) presented at approval, which represent plan quality. This study utilised a novel dosimetric validation methodology, comprehensively evaluating a new CT-scanner-based AI contouring solution in terms of PD and RD within an automated planning workflow. 20 prostate patients were selected
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Dose and DNA damage modelling of diffusing alpha-emitters radiation therapy using Geant4 Phys. Med. (IF 3.4) Pub Date : 2024-05-02 Laura Ballisat, Chiara De Sio, Lana Beck, Susanna Guatelli, Dousatsu Sakata, Yuyao Shi, Jinyan Duan, Jaap Velthuis, Anatoly Rosenfeld
Diffusing alpha-emitters radiation therapy (DaRT) is a brachytherapy technique using -particles to treat solid tumours. The high linear energy transfer (LET) and short range of -particles make them good candidates for the targeted treatment of cancer. Treatment planning of DaRT requires a good understanding of the dose from -particles and the other particles released in the Ra decay chain. The Geant4
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On the necessity of specialized knowledge-based models for SBRT prostate treatments plans Phys. Med. (IF 3.4) Pub Date : 2024-05-02 Alessandro Scaggion, Samuele Cavinato, Francesca Dusi, Badr El Khouzai, Federica Guida, Chiara Paronetto, Marco Andrea Rossato, Sonia Sapignoli, Anthony St. Aubin Scott, Matteo Sepulcri, Marta Paiusco
Test whether a well-grounded KBP model trained on moderately hypo-fractionated prostate treatments can be used to satisfactorily drive the optimization of SBRT prostate treatments. A KBP model (SBRT-model) was developed, trained and validated using the first forty-seven clinically treated VMAT SBRT prostate plans (42.7 Gy/7fx or 36.25 Gy/5fx). The performance and robustness of this model were compared
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Plastic scintillator-based dosimeters for ultra-high dose rate (UHDR) electron radiotherapy Phys. Med. (IF 3.4) Pub Date : 2024-04-30 E. Ciarrocchi, E. Ravera, A. Cavalieri, M. Celentano, D. Del Sarto, F. Di Martino, S. Linsalata, M. Massa, L. Masturzo, A. Moggi, M. Morrocchi, J.H. Pensavalle, M.G. Bisogni
This paper reports the development of dosimeters based on plastic scintillating fibers imaged by a charge-coupled device camera, and their performance evaluation through irradiations with the electron Flash research accelerator located at the Centro Pisano Flash Radiotherapy. The dosimeter prototypes were composed of a piece of plastic scintillating fiber optically coupled to a clear optical fiber
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Improved hypertensive stroke classification based on multi-scale feature fusion of head axial CT angiogram and multimodal learning Phys. Med. (IF 3.4) Pub Date : 2024-04-29 Shuting Liu, Pan Qin, Zeyuan Wang, Yi Liu
Strokes are severe cardiovascular and circulatory diseases with two main types: ischemic and hemorrhagic. Clinically, brain images such as computed tomography (CT) and computed tomography angiography (CTA) are widely used to recognize stroke types. However, few studies have combined imaging and clinical data to classify stroke or consider a factor as an Independent etiology. In this work, we propose
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Evaluation of radiation detectors for the determination of field output factors in Leksell Gamma Knife dosimetry using 3D printed phantom inserts Phys. Med. (IF 3.4) Pub Date : 2024-04-26 Ben Perrett, Venkatakrishnan Seshadri, Cosmo Huxley, Sanjay Kumar, Michal Wawrzak, Prabhakar Ramachandran
The Leksell Gamma Knife® Perfexion™ and Icon™ have a unique geometry, containing 192 Co sources with collimation for field sizes of 4 mm, 8 mm, and 16 mm. 4 mm and 8 mm collimated fields lack lateral charged particle equilibrium, so accurate field output factors are essential. This study performs field output factor measurements for the microDiamond, microSilicon, and RAZOR™ Nano detectors.
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Impact of data transfer between treatment planning systems on dosimetric parameters Phys. Med. (IF 3.4) Pub Date : 2024-04-25 Guenda Meffe, Claudio Votta, Gabriele Turco, Elena Chillè, Matteo Nardini, Angela Romano, Giuditta Chiloiro, Giulia Panza, Matteo Galetto, Amedeo Capotosti, Roberto Moretti, Maria Antonietta Gambacorta, Luca Boldrini, Luca Indovina, Lorenzo Placidi
In radiotherapy it is often necessary to transfer a patient’s DICOM (Digital Imaging and COmmunications in Medicine) dataset from one system to another for re-treatment, plan-summation or registration purposes. The aim of the study is to evaluate effects of dataset transfer between treatment planning systems. Twenty-five patients treated in a 0.35T MR-Linac (MRidian, ViewRay) for locally-advanced pancreatic
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Evaluation of safety margins for cone beam CT-based adaptive prostate radiotherapy Phys. Med. (IF 3.4) Pub Date : 2024-04-25 Florian Dupont, David Dechambre, Edmond Sterpin
Adaptive radiotherapy is characterized by the use of a daily imaging system, such as CBCT (Cone-Beam Computed Tomography) images to re-optimize the treatment based on the daily anatomy and position of the patient. By systematically re-delineating the Clinical Target Volume (CTV) at each fraction, target delineation uncertainty features a random component instead of a pure systematic. The goal of this
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Optimization of CT pulmonary angiography for pulmonary embolism using task-based image quality assessment and diagnostic reference levels: A multicentric study Phys. Med. (IF 3.4) Pub Date : 2024-04-25 Anaïs Viry, Veronika Vitzthum, Pascal Monnin, Julie Bize, David Rotzinger, Damien Racine
To establish size-specific diagnostic reference levels (DRLs) for pulmonary embolism (PE) based on patient CT examinations performed on 74 CT devices. To assess task-based image quality (IQ) for each device and to investigate the variability of dose and IQ across different CTs. To propose a dose/IQ optimization. 1051 CT pulmonary angiography dose data were collected. DRLs were calculated as the 75th
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Alerts to improve occupational protection during Interventional Radiology. More attention is needed for simple but frequent procedures Phys. Med. (IF 3.4) Pub Date : 2024-04-25 Eliseo Vano, Roberto M. Sanchez Casanueva, Jose M. Fernandez Soto, Jose I. Ten Moron
Occupational protection could be improved in interventional radiology. The monthly personal dosimetry cannot alert on some occupational doses with anomalous values for certain procedures. Active electronic personal dosimeters linked wireless to a dose management system (DMS), allow for the measurement of occupational doses per procedure, integrating this information with patient dose indicators and
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Heterogeneous PSMA ligand uptake inside parotid glands Phys. Med. (IF 3.4) Pub Date : 2024-04-23 Caleb M. Sample, Carlos Uribe, Arman Rahmim, François Bénard, Jonn Wu, Haley Clark
The purpose of this investigation is to quantify the spatial heterogeneity of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) uptake within parotid glands. We aim to quantify patterns in well-defined regions to facilitate further investigations. Furthermore, we investigate whether uptake is correlated with computed tomography (CT) texture features. Methods: Parotid glands
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Optimized scoring of end-to-end dosimetry audits for passive motion management – A simulation study using the IROC thorax phantom Phys. Med. (IF 3.4) Pub Date : 2024-04-23 Alex Burton, Mathieu Gaudreault, Nicholas Hardcastle, Jessica Lye, Sabeena Beveridge, Stephen F. Kry, Rick Franich
Dosimetry audits for passive motion management require dynamically-acquired measurements in a moving phantom to be compared to statically calculated planned doses. This study aimed to characterise the relationship between planning and delivery errors, and the measured dose in the Imaging and Radiation Oncology Core (IROC) thorax phantom, to assess different audit scoring approaches. Treatment plans
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A deep learning-based method for the prediction of temporal lobe injury in patients with nasopharyngeal carcinoma Phys. Med. (IF 3.4) Pub Date : 2024-04-22 Wenting Ren, Bin Liang, Chao Sun, Runye Wu, Kuo Men, Huan Chen, Xin Feng, Lu Hou, Fei Han, Junlin Yi, Jianrong Dai
To establish a deep learning-based model to predict radiotherapy-induced temporal lobe injury (TLI). Spatial features of dose distribution within the temporal lobe were extracted using both the three-dimensional convolution (C3D) network and the dosiomics method. The Minimal Redundancy-Maximal-Relevance (mRMR) method was employed to rank the extracted features and select the most relevant ones. Four
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Uncertainties in ocular proton planning and their impact on required margins Phys. Med. (IF 3.4) Pub Date : 2024-04-20 Jörg Wulff, Benjamin Koska, Dalia Ahmad Khalil, Ronald Richter, Claus Maximilian Bäcker, Christian Bäumer, Andreas Foerster, Nikolaos E. Bechrakis, Beate Timmermann
To review required margins in ocular proton therapy (OPT) based on an uncertainty estimation and to compare them with widely used values. Further, uncertainties when using registered funduscopy images in the 3D model is investigated. An uncertainty budget in planning and delivery was defined to determine required aperture and range margins. Setup uncertainties were considered for a cohort of treated
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Development of novel low-cost readout electronics for large field-of-view gamma camera detectors Phys. Med. (IF 3.4) Pub Date : 2024-04-19 Aram Radnia, Amirhossein Alikhani, Behnoosh Teimourian, Mahyar Yousef Nejad, Mohammad Hossein Farahani, Fakhereh Pashaei, Arman Rahmim, Habib Zaidi, Mohammad Reza Ay
Large scintillation crystals-based gamma cameras play a crucial role in nuclear medicine imaging. In this study, a large field-of-view (FOV) gamma detector consisting of 48 square PMTs developed using a new readout electronics, reducing 48 (6 × 8) analog signals to 14 (6 + 8) analog sums of each row and column, with reduced complexity and cost while preserving image quality. All 14 analog signals were
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Dual time-point [18F]FDG PET imaging for quantification of metabolic uptake rate: Evaluation of a simple, clinically feasible method Phys. Med. (IF 3.4) Pub Date : 2024-04-15 Rezvan Samimi, Alireza Kamali-Asl, Yashar Ahmadyar, Jörg van den Hoff, Parham Geramifar, Arman Rahmim
We aimed to investigate whether a clinically feasible dual time-point (DTP) approach can accurately estimate the metabolic uptake rate constant (K) and to explore reliable acquisition times through simulations and clinical assessment considering patient comfort and quantification accuracy. We simulated uptake kinetics in different tumors for four sets of DTP PET images within the routine clinical static
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IOeRT conventional and FLASH treatment planning system implementation exploiting fast GPU Monte Carlo: The case of breast cancer Phys. Med. (IF 3.4) Pub Date : 2024-04-11 G. Franciosini, D. Carlotti, F. Cattani, A. De Gregorio, V. De Liso, F. De Rosa, M. Di Francesco, F. Di Martino, G. Felici, J. Harold Pensavalle, M.C. Leonardi, M. Marafini, A. Muscato, F. Paiar, V. Patera, P. Poortmans, A. Sciubba, A. Schiavi, M. Toppi, G. Traini, A. Trigilio, A. Sarti
Partial breast irradiation for the treatment of early-stage breast cancer patients can be performed by means of Intra Operative electron Radiation Therapy (IOeRT). One of the main limitations of this technique is the absence of a treatment planning system (TPS) that could greatly help in ensuring a proper coverage of the target volume during irradiation. An IOeRT TPS has been developed using a fast
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Shear wave elastography for assessing the anterior scalene elasticity in patients with neck pain Phys. Med. (IF 3.4) Pub Date : 2024-04-10 Juan Antonio Valera-Calero, Elena Sánchez-Jiménez, Gustavo Plaza-Manzano, César Fernández-de-las-Peñas, Sandra Sánchez-Jorge, Marcos José Navarro-Santana
Shear-wave elastography (SWE) provides quantitative and absolute metrics for analyzing the elasticity of soft tissues. Despite the anterior scalene muscle (AS) is a key structure in patients with neck pain and nerve compressive syndromes, the majority of SWE studies only included asymptomatic subjects. This study aimed to analyze the Young’s modulus and shear wave speed test–retest reliability in a
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Radiomics-based discriminant analysis of principal components to stratify the treatment response of lung metastases following stereotactic body radiation therapy Phys. Med. (IF 3.4) Pub Date : 2024-04-09 Savino Cilla, Francesco Deodato, Carmela Romano, Gabriella Macchia, Milly Buwenge, Alessio G. Morganti
Discriminant analysis of principal components (DAPC) was introduced to describe the clusters of genetically related individuals focusing on the variation between the groups of individuals. Borrowing this approach, we evaluated the potential of DAPC for the evaluation of clusters in terms of treatment response to SBRT of lung lesions using radiomics analysis on pre-treatment CT images. 80 pulmonary
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Absolute ground truth-based validation of computer-aided nodule detection and volumetry in low-dose CT imaging Phys. Med. (IF 3.4) Pub Date : 2024-04-08 Louise D'hondt, Pieter-Jan Kellens, Kwinten Torfs, Hilde Bosmans, Klaus Bacher, Annemiek Snoeckx
To validate the performance of computer-aided detection (CAD) and volumetry software using an anthropomorphic phantom with a ground truth (GT) set of 3D-printed nodules. The Kyoto Kaguku Lungman phantom, containing 3D-printed solid nodules including six diameters (4 to 9 mm) and three morphologies (smooth, lobulated, spiculated), was scanned at varying CTDI levels (6.04, 1.54 and 0.20 mGy). Combinations
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Amyloid brain-dedicated PET images can diagnose Alzheimer’s pathology with Centiloid Scale Phys. Med. (IF 3.4) Pub Date : 2024-04-05 Maria Teresa Gandia-Ferrero, Irene Torres-Espallardo, Begoña Martínez-Sanchis, Enrique Muñoz, Constantino Morera-Ballester, Pablo Sopena-Novales, Lourdes Álvarez-Sánchez, Miquel Baquero-Toledo, Luis Martí-Bonmatí
To evaluate whether the Centiloid Scale may be used to diagnose Alzheimer’s Disease (AD) pathology effectively with the only use of amyloid PET imaging modality from a brain-dedicated PET scanner. This study included 26 patients with amyloid PET images with 3 different radiotracers. All patients were acquired both on a PET/CT and a brain-dedicated PET scanner (CareMiBrain, CMB), from which 4 different
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Kidney dosimetry in [177Lu]Lu-DOTA-TATE therapy based on multiple small VOIs Phys. Med. (IF 3.4) Pub Date : 2024-03-30 Selma Curkic Kapidzic, Johan Gustafsson, Erik Larsson, Lovisa Jessen, Katarina Sjögreen Gleisner
The aim was to investigate the use of multiple small VOIs for kidney dosimetry in [Lu]Lu-DOTA-TATE therapy. The study was based on patient and simulated SPECT images in anthropomorphic geometries. Images were reconstructed using two reconstruction programs (local LundaDose and commercial Hermia) using OS-EM with and without resolution recovery (RR). Five small VOIs were placed to determine the average
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First clinical experience following the consensus guide for calibrating a proton stopping power ratio curve in a new proton centre Phys. Med. (IF 3.4) Pub Date : 2024-03-29 Calvin Wei Yang Koh, Kah Seng Lew, Andrew Wibawa, Zubin Master, Ping Lin Yeap, Clifford Ghee Ann Chua, James Cheow Lei Lee, Hong Qi Tan, Sung Yong Park
This work introduces the first assessment of CT calibration following the ESTRO’s consensus guidelines and validating the HLUT through the irradiation of biological material. Two electron density phantoms were scanned with two CT scanners using two CT scan energies. The stopping power ratio (SPR) and mass density (MD) HLUTs for different CT scan energies were derived using Schneider’s and ESTRO’s methods
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PyDAP: Automated dental OPG beam area measurement using python and raspberry Pi camera Phys. Med. (IF 3.4) Pub Date : 2024-03-29 Michael Murray, Jackie McCavana, Eamon Loughman
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Integrating cine EPID, dynamic delivery, and the off-axis Winston-Lutz test to enhance quality control in multiple brain metastasis stereotactic radiotherapy Phys. Med. (IF 3.4) Pub Date : 2024-03-28 Paul Retif, Abdourahamane Djibo Sidikou, Alexandre Waltener, Romain Letellier, Anwar Al Salah, Estelle Pfletschinger, Fabian Taesch, Emilie Verrecchia-Ramos, Xavier Michel
Stereotactic radiotherapy (SRT) has transformed cancer treatment, especially for brain metastases. Ensuring accurate SRT delivery is crucial, with the Winston-Lutz test being an important quality control tool. Off-axis Winston-Lutz (OAWL) tests are designed for accuracy assessment, but most are limited to fixed angles and hampered by local-field shifts caused by suboptimal Multi-Leaf Collimator (MLC)
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Declutter the MRI protocol tree: Managing and comparing sequence parameters of multiple clinical Siemens MRI systems Phys. Med. (IF 3.4) Pub Date : 2024-03-28 Pim Pullens, Pieter Devolder, Nele Van de Velde, Tony Thienpont, Eric Achten, Geert Villeirs
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Assessment of temporal resolution and detectability of moving objects in CT: A task-based image quality study Phys. Med. (IF 3.4) Pub Date : 2024-03-28 P. Monnin, D. Rotzinger, A. Viry, V. Vitzthum, D. Racine
The metrics used for assessing image quality in computed tomography (CT) do not integrate the influence of temporal resolution. A shortcoming in the assessment of image quality for imaging protocols where motion blur can therefore occur. We developed a method to calculate the temporal resolution of standard CT protocols and introduced a specific spatiotemporal formulation of the non-prewhitening with
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Impact of equipment technology on reference levels in fluoroscopy-guided gastrointestinal procedures Phys. Med. (IF 3.4) Pub Date : 2024-03-23 Madan M. Rehani, Xinhua Li
To evaluate the effect of equipment technology on reference point air kerma (K), air kerma-area product (P), and fluoroscopic time for fluoroscopically-guided gastrointestinal endoscopic procedures and establish benchmark levels. This retrospective study included the consecutive patients who underwent fluoroscopically-guided gastrointestinal endoscopic procedures from May 2016 to August 2023 at a tertiary
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Physical and dosimetric characterisation of different Contrast-Enhanced digital mammographic systems: A multicentric study Phys. Med. (IF 3.4) Pub Date : 2024-03-22 Caterina Ghetti, Ornella Ortenzia, Laura Pagan, Paola Golinelli, Andrea Nitrosi, Roberto Sghedoni, Valentina Ravaglia, Laura Verzellesi, Lidia Angelini, Giovanna Venturi, Paola Berardi, Domenico Acchiappati, Marco Bertolini
Contrast-enhanced digital mammography (CEDM) is a relatively new imaging technique recombining low- and high-energy mammograms to emphasise iodine contrast. This work aims to perform a multicentric physical and dosimetric characterisation of four state-of-the-art CEDM systems. We evaluated tube output, half-value-layer (HVL) for low- and high-energy and average glandular dose (AGD) in a wide range
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Methodology for small animals targeted irradiations at conventional and ultra-high dose rates 65 MeV proton beam Phys. Med. (IF 3.4) Pub Date : 2024-03-21 Manon Evin, Charbel Koumeir, Arthur Bongrand, Gregory Delpon, Ferid Haddad, Quentin Mouchard, Vincent Potiron, Gaëlle Saade, Noël Servagent, Daphnée Villoing, Vincent Métivier, Sophie Chiavassa
As part of translational research projects, mice may be irradiated on radiobiology platforms such as the one at the ARRONAX cyclotron. Generally, these platforms do not feature an integrated imaging system. Moreover, in the context of ultra-high dose-rate radiotherapy (FLASH-RT), treatment planning should consider potential changes in the beam characteristics and internal movements in the animal.
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Corrigendum to “A new transparent beam profiler based on secondary electrons emission for hadrontherapy charged particles beams” [Phys. Med. 68(Supplement 1) (2019) 42] Phys. Med. (IF 3.4) Pub Date : 2024-03-18 C. Thiebaux, G. Blain, B. Boyer, E. Delagnes, Y. Geerebaert, O. Gevin, F. Haddad, C. Koumeir, F. Magniette, P. Manigot, N. Michel, F. Poirier, N. Servagent, T. Sounalet, M. Verderi
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Symposium on molecular radiotherapy dosimetry: The first of a series? Phys. Med. (IF 3.4) Pub Date : 2024-03-17 Manuel Bardiès, Pablo Minguez Gabiña, Glenn Flux, Pola Platoni, Efi Koutsouveli
The EFOMP Special Interest Group for Radionuclide Internal Dosimetry (SIG_FRID) organised its first scientific meeting, the in Athens on November 9th–11th 2023. The Symposium was hosted by the Hellenic Association of Medical Physicists and the National and Kapodistrian University of Athens. This meeting gathered more than 180 scientists from 28 countries. Scientific, clinical and regulatory aspects
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Gold nanoparticles spectral CT imaging and limit of detectability in a new materials contrast-detail phantom Phys. Med. (IF 3.4) Pub Date : 2024-03-16 Yusuf O. Ibrahim, Nabil Maalej, Bilal Masood Pirzada, Aamir Younis Raja, Dalaver H Anjum, Nila Jan, Abderaouf Behouch, Ahsan Ul Haq Qurashi
This study involves the synthesis, characterization, and spectral photon counting CT (SPCCT) imaging of gold nanoparticles tailored for enhancing the contrast of small cancer lesions. We used the modified Turkevich method to produce thiol-capped gold nanoparticles (AuNPs) at different concentrations (20, 15, 10, 5, 2.5, 1.25, 0.6 mg/ml). We thoroughly characterized the AuNPs using Transmission Electron
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Development of porous structure for broadening Bragg-peak in scanning carbon-ion radiotherapy: Monte Carlo simulation and experimental validation Phys. Med. (IF 3.4) Pub Date : 2024-03-16 Sixue Dong, Jiayao Sun, Xue Ming, Uli Weber, Christoph Schuy, Weigang Hu, Yinxiangzi Sheng
The present study aimed to develop a porous structure with plug-ins (PSP) to broaden the Bragg peak width (BPW, defined as the distance in water between the proximal and distal 80% dose) of the carbon ion beam while maintaining a sharp distal falloff width (DFW, defined as the distance along the beam axis where the dose in water reduces from 80% to 20%). The binary voxel models of porous structure
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Using the gamma-index analysis for inter-fractional comparison of in-beam PET images for head-and-neck treatment monitoring in proton therapy: A Monte Carlo simulation study Phys. Med. (IF 3.4) Pub Date : 2024-03-15 Aafke Christine Kraan, Martina Moglioni, Giuseppe Battistoni, Davide Bersani, Andrea Berti, Pietro Carra, Piergiorgio Cerello, Mario Ciocca, Veronica Ferrero, Elisa Fiorina, Enrico Mazzoni, Matteo Morrocchi, Silvia Muraro, Ester Orlandi, Francesco Pennazio, Alessandra Retico, Valeria Rosso, Giancarlo Sportelli, Barbara Vischioni, Viviana Vitolo, Maria Giuseppina Bisogni
In-beam Positron Emission Tomography (PET) is a technique for in-vivo non-invasive treatment monitoring for proton therapy. To detect anatomical changes in patients with PET, various analysis methods exist, but their clinical interpretation is problematic. The goal of this work is to investigate whether the gamma-index analysis, widely used for dose comparisons, is an appropriate tool for comparing
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Inter-institutional variability of knowledge-based plan prediction of left whole breast irradiation Phys. Med. (IF 3.4) Pub Date : 2024-03-13 Roberta Castriconi, Alessia Tudda, Lorenzo Placidi, Giovanna Benecchi, Elisabetta Cagni, Francesca Dusi, Anna Ianiro, Valeria Landoni, Tiziana Malatesta, Aldo Mazzilli, Guenda Meffe, Caterina Oliviero, Giulia Rambaldi Guidasci, Alessandro Scaggion, Valeria Trojani, Antonella del Vecchio, Claudio Fiorino
Within a multi-institutional project, we aimed to assess the transferability of knowledge-based (KB) plan prediction models in the case of whole breast irradiation (WBI) for left-side breast irradiation with tangential fields (TF). Eight institutions set KB models, following previously shared common criteria. Plan prediction performance was tested on 16 new patients (2 pts per centre) extracting d
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Comparing interplay effects in scanned proton therapy of lung cancer: Free breathing with various layer and volume rescanning versus respiratory gating with different gate widths Phys. Med. (IF 3.4) Pub Date : 2024-03-10 Yuki Tominaga, Masaki Suga, Mikuni Takeda, Yuki Yamamoto, Takashi Akagi, Takahiro Kato, Sunao Tokumaru, Michinori Yamamoto, Masataka Oita
We investigated interplay effects and treatment time (TT) in scanned proton therapy for lung cancer patients. We compared free-breathing (FB) approaches with multiple rescanning strategies and respiratory-gating (RG) methods with various gating widths to identify the superior irradiation technique. Plans were created with 4/1, 2/2, and 1/4 layered/volume rescans of FB (L4V1, L2V2, and L1V4), and 50%
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Estimating of radiation output of X-RAY tube using mathematical model: Case of high-frequency machines Phys. Med. (IF 3.4) Pub Date : 2024-03-08 Alex Eclador Ngankem, Clemence Raïssa Tchatchouang Simo, Daniel Bongue, Ruth Nana Njantang, Maurice Moyo Ndontchueng, Odette Ngano Samba
During any radiological procedure, it is important to know the dose to be-administered to the patient and this can be done by estimating the output of the X-ray tube either with a dosimeter or with a mathematical equation or Monte Carlo simulations. The aim of this work is to develop a new mathematical model equation (NMME) for estimating the output of high-frequency X-ray tubes. To achieve this, data
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Differentiating HCC from ICC and prediction of ICC grade based on MRI deep-radiomics: Using lesions and their extended regions Phys. Med. (IF 3.4) Pub Date : 2024-03-06 Shuping Wang, Xuehu Wang, Xiaoping Yin, Xiaoyan Lv, Jianming Cai
This study aimed to evaluate the ability of MRI-based intratumoral and peritumoral radiomics features of liver tumors to differentiate between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) and to predict ICC differentiation. This study retrospectively collected 87 HCC patients and 75 ICC patients who were confirmed pathologically. The standard region of interest (ROI) of
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Risk adaptive planning with biology-based constraints may lead to higher tumor control probability in tumors of the canine brain: A planning study Phys. Med. (IF 3.4) Pub Date : 2024-03-01 Stephan Radonic, Uwe Schneider, Jürgen Besserer, Valeria S. Meier, Carla Rohrer Bley
Classical radiation protocols are guided by physical dose delivered homogeneously over the target. Protocols are chosen to keep normal tissue complication probability (NTCP) at an acceptable level. Organs at risk (OAR) adjacent to the target volume could lead to underdosage of the tumor and a decrease of tumor control probability (TCP). The intent of our study was to explore a biology-based dose escalation:
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A CT deep learning reconstruction algorithm: Image quality evaluation for brain protocol at decreasing dose indexes in comparison with FBP and statistical iterative reconstruction algorithms Phys. Med. (IF 3.4) Pub Date : 2024-02-28 Silvia Tomasi, Klarisa Elena Szilagyi, Patrizio Barca, Francesca Bisello, Lorenzo Spagnoli, Sara Domenichelli, Lidia Strigari
To characterise the impact of Precise Image (PI) deep learning reconstruction algorithm on image quality, compared to filtered back-projection (FBP) and iDose iterative reconstruction for brain computed tomography (CT) phantom images. Catphan-600 phantom was acquired with an Incisive CT scanner using a dedicated brain protocol, at six different dose levels (volume computed tomography dose index (CTDI):
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End-to-end dosimetry audit for three-dimensional image-guided brachytherapy for cervical cancer Phys. Med. (IF 3.4) Pub Date : 2024-02-22 Hideyuki Mizuno, Taku Nakaji, Shigekazu Fukuda, Shingo Kato
End-to-end dosimetry audit for brachytherapy is challenging due to the steep dose gradient. However, it is an efficient method to detect unintended errors in actual clinical practice. We aimed to develop an on-site end-to-end test phantom for three-dimensional image-guided brachytherapy (IGBT) for cervical cancer. The test phantom we developed consisted of a water tank with an applicator/detector holder
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A time- and space-saving Monte Carlo simulation method using post-collimation generative adversarial network for dose calculation of an O-ring gantry Linac Phys. Med. (IF 3.4) Pub Date : 2024-02-21 Mengying Shi, Sunan Cui, Cynthia Chuang, Oluwaseyi Oderinde, Nataliya Kovalchuk, Murat Surucu, Lei Xing, Bin Han
This study explores the feasibility of employing Generative Adversarial Networks (GANs) to model the RefleXion X1 Linac. The aim is to investigate the accuracy of dose simulation and assess the potential computational benefits. The X1 Linac is a new radiotherapy machine with a binary multi-leaf collimation (MLC) system, facilitating innovative biology-guided radiotherapy. A total of 34 GAN generators
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Multicentric characterisation of lateral beam profiles generated by 6FFF beam of three 0.35 T MR-linac systems Phys. Med. (IF 3.4) Pub Date : 2024-02-21 Menna Sebastiano, El Gawhary Randa, Placidi Lorenzo, Quaranta Flaviovincenzo, Borrazzo Cristian, Masi Marica, Nardini Matteo, Rago Maria, Indovina Luca, Cusumano Davide, Fogliata Antonella
The physical characterisation of FFF-beam profiles in the presence of a magnetic field requires a new standardization procedure and formulation. The aim of this multicentric experience is to propose new normalisation factors to allow for the calculation of standard parameters typical of flattened beams, such as dosimetric field size and penumbra, for a 6 MV FFF beam from an MR-linac. The measurements
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Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imaging Phys. Med. (IF 3.4) Pub Date : 2024-02-19 MohammadSaber Azimi, Alireza Kamali-Asl, Mohammad-Reza Ay, Navid Zeraatkar, Mahboube-Sadat Hosseini, Amirhossein Sanaat, Hossein Arabi
This work set out to propose an attention-based deep neural network to predict partial volume corrected images from PET data not utilizing anatomical information. An attention-based convolutional neural network (ATB-Net) is developed to predict PVE-corrected images in brain PET imaging by concentrating on anatomical areas of the brain. The performance of the deep neural network for performing PVC without
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A PBPK model for PRRT with [177Lu]Lu-DOTA-TATE: Comparison of model implementations in SAAM II and MATLAB/SimBiology Phys. Med. (IF 3.4) Pub Date : 2024-02-16 Valentina Vasić, Johan Gustafsson, Elham Yousefzadeh Nowshahr, Anna Stenvall, Ambros J. Beer, Katarina Sjögreen Gleisner, Gerhard Glatting
Physiologically based pharmacokinetic (PBPK) models offer the ability to simulate and predict the biodistribution of radiopharmaceuticals and have the potential to enable individualised treatment planning in molecular radiotherapy. The objective of this study was to develop and implement a whole-body compartmental PBPK model for peptide receptor radionuclide therapy (PRRT) with [Lu]Lu-DOTA-TATE in
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Segmenting brain glioblastoma using dense-attentive 3D DAF2 Phys. Med. (IF 3.4) Pub Date : 2024-02-10 Sunayana G. Domadia, Falgunkumar N. Thakkar, Mayank A. Ardeshana
Precise delineation of brain glioblastoma or tumor through segmentation is pivotal in the diagnosis, formulating treatment strategies, and evaluating therapeutic progress in patients. Precisely identifying brain glioblastoma within multimodal MRI scans poses a significant challenge in the field of medical image analysis as different intensity profiles are observed across the sub-regions, reflecting
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Implementation and evaluation of a dynamic contrast-enhanced MR perfusion protocol for glioblastoma using a 0.35 T MRI-Linac system Phys. Med. (IF 3.4) Pub Date : 2024-02-09 Danilo Maziero, Gregory Albert Azzam, Macarena de La Fuente, Radka Stoyanova, John Chetley Ford, Eric Albert Mellon
MRI-linear accelerator (MRI-Linac) systems allow for daily tracking of MRI changes during radiotherapy (RT). Since one common MRI-Linac operates at 0.35 T, there are efforts towards developing protocols at that field strength. In this study we demonstrate the implementation of a post-contrast 3DT1-weighted (3D-T1w) and dynamic contrast-enhancement (DCE) protocol to assess glioblastoma response to RT
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Erratum to “MO-11.2 – Explainable artificial intelligence applied to machine learning for radiomics” [Physica Medica 115S1 (2023) 102870] Phys. Med. (IF 3.4) Pub Date : 2024-02-09 C. Matteo, G. Miori, R. Maio, M. Galelli
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Ventilation perfusion functional difference images in lung SPECT: A linear and symmetrical scale as an alternative to the ventilation perfusion ratio Phys. Med. (IF 3.4) Pub Date : 2024-02-08 Robin de Nijs, Ronan M.G. Berg, Sofie Lindskov Hansen, Jann Mortensen
Ventilation Perfusion SPECT is important in the diagnostics of e.g. pulmonary embolism and chronic obstructive pulmonary disease. Classical and reverse mismatched defects can be identified by utilizing the ventilation-perfusion ratio. Unfortunately, this ratio is only linear in the ventilation, the scale is not symmetrical regarding classical and reversed mismatches and small perfusion values give
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Beam quality correction factors for ionization chambers in a 0.35 T magnetic resonance (MR)-linac – A Monte Carlo study Phys. Med. (IF 3.4) Pub Date : 2024-02-08 Ahtesham Ullah Khan, Larry A. DeWerd, Poonam Yadav
The purpose of this study was to directly calculate correction factors for four cylindrical ICs for a 0.35 T MR-linac using the Monte Carlo (MC) method. A previously-validated TOPAS/GEANT4 MC head model of the 0.35 T MR-linac was employed. The MR-compatible Exradin A12, A1SL, A26, and A28 cylindrical ICs were modeled considering the dead volume in the air cavity. The correction factor was determined
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Typical values of z-resolution for different Digital Breast Tomosynthesis systems evaluated in a multicenter study Phys. Med. (IF 3.4) Pub Date : 2024-02-06 S. Dalmonte, P. Golinelli, N. Oberhofer, S. Strocchi, V. Rossetti, L. Berta, M. Porzio, L. Angelini, N. Paruccini, R. Villa, M. Bertolini, S. Delle Canne, M. Cavallari, L. D'Ercole, G. Guerra, R. Rosasco, B. Cannillo, A. D'Alessio, E. Di Nicola, D. Origgi, P. De Marco, A. Maldera, C. Scabbio, F. Rottoli, R. Castriconi, E. Lorenzini, G. Pasquali, F. Pietrobon, P. Bregant, G. Giovannini, V. Favuzza,
The aim of the present study, conducted by a working group of the Italian Association of Medical Physics (AIFM), was to define typical z-resolution values for different digital breast tomosynthesis (DBT) models to be used as a reference for quality control (QC). Currently, there are no typical values published in internationally agreed QC protocols. To characterize the z-resolution of the DBT models
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Feasibility of noise-reduction reconstruction technology based on non-local-mean principle in SiPM-PET/CT Phys. Med. (IF 3.4) Pub Date : 2024-02-06 Yuya Shirakawa, Norikazu Matsutomo, Jumpei Suyama
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Improved outcome models with denoising diffusion Phys. Med. (IF 3.4) Pub Date : 2024-02-06 D. Dudas, T.J. Dilling, I. El Naqa
Radiotherapy outcome modelling often suffers from class imbalance in the modelled endpoints. One of the main options to address this issue is by introducing new synthetically generated datapoints, using generative models, such as Denoising Diffusion Probabilistic Models (DDPM). In this study, we implemented DDPM to improve performance of a tumor local control model, trained on imbalanced dataset, and
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Introduction and commissioning of the IQM for patient-specific quality assurance Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Dion Conlon, Peter Woulfe
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Implementing from first principles gender-dependent radiotherapy Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Maryam Akhtarini
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Theoretical and experimental assessment of the benefits and limitations of moving from 1.5 T to 3 T MRI Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Ciara Hutchinson, Michael Kelly, Alan Stone
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Evaluation of CTV to PTV expansion of prostate patients in Cork University Hospital Phys. Med. (IF 3.4) Pub Date : 2024-02-05 Michael Roche, Christopher Walker, Michael Moran
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