Search Results - "Physics and imaging in radiation oncology"

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    Clinical implementation of artificial intelligence-driven cone-beam computed tomography-guided online adaptive radiotherapy in the pelvic region by Sibolt, Patrik, Andersson, Lina M., Calmels, Lucie, Sjöström, David, Bjelkengren, Ulf, Geertsen, Poul, Behrens, Claus F.

    Published in Physics and imaging in radiation oncology (01-01-2021)
    “…Studies have demonstrated the potential of online adaptive radiotherapy (oART). However, routine use has been limited due to resource demanding solutions. This…”
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    Journal Article
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    Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy by Vaassen, Femke, Hazelaar, Colien, Vaniqui, Ana, Gooding, Mark, van der Heyden, Brent, Canters, Richard, van Elmpt, Wouter

    Published in Physics and imaging in radiation oncology (01-01-2020)
    “…•Automatic delineation software shows promising results in terms of time-saving.•Standard geometry measures do not have a high correlation with delineation…”
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    Clinical implementation of magnetic resonance imaging guided adaptive radiotherapy for localized prostate cancer by Tetar, Shyama U., Bruynzeel, Anna M.E., Lagerwaard, Frank J., Slotman, Ben J., Bohoudi, Omar, Palacios, Miguel A.

    Published in Physics and imaging in radiation oncology (01-01-2019)
    “…Magnetic resonance-guided radiation therapy (MRgRT) has recently become available in clinical practice and is expected to expand significantly in coming years…”
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    A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer by Maspero, Matteo, Houweling, Antonetta C., Savenije, Mark H.F., van Heijst, Tristan C.F., Verhoeff, Joost J.C., Kotte, Alexis N.T.J., van den Berg, Cornelis A.T.

    Published in Physics and imaging in radiation oncology (01-04-2020)
    “…•A deep learning network facilitated dose calculation from CBCT.•A single network achieved CBCT-based dose calculation generating synthetic CT for…”
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    A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features by Pfaehler, Elisabeth, Zhovannik, Ivan, Wei, Lise, Boellaard, Ronald, Dekker, Andre, Monshouwer, René, El Naqa, Issam, Bussink, Jan, Gillies, Robert, Wee, Leonard, Traverso, Alberto

    Published in Physics and imaging in radiation oncology (01-10-2021)
    “…•Main factors impacting feature stability: Image acquisition, reconstruction, tumor segmentation, and interpolation.•Textural features are less robust than…”
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    Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy by Elguindi, Sharif, Zelefsky, Michael J., Jiang, Jue, Veeraraghavan, Harini, Deasy, Joseph O., Hunt, Margie A., Tyagi, Neelam

    Published in Physics and imaging in radiation oncology (01-10-2019)
    “…•Auto-segmentation using Deep Learning can be difficult with a small medical dataset.•Transfer learning allows deep learning networks to retrain easily on…”
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    In vivo dosimetry in brachytherapy: Requirements and future directions for research, development, and clinical practice by Fonseca, Gabriel P., Johansen, Jacob G., Smith, Ryan L., Beaulieu, Luc, Beddar, Sam, Kertzscher, Gustavo, Verhaegen, Frank, Tanderup, Kari

    Published in Physics and imaging in radiation oncology (01-10-2020)
    “…Brachytherapy can deliver high doses to the target while sparing healthy tissues due to its steep dose gradient leading to excellent clinical outcome…”
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    In vivo dosimetry in external beam photon radiotherapy: Requirements and future directions for research, development, and clinical practice by Olaciregui-Ruiz, Igor, Beddar, Sam, Greer, Peter, Jornet, Nuria, McCurdy, Boyd, Paiva-Fonseca, Gabriel, Mijnheer, Ben, Verhaegen, Frank

    Published in Physics and imaging in radiation oncology (01-07-2020)
    “…External beam radiotherapy with photon beams is a highly accurate treatment modality, but requires extensive quality assurance programs to confirm that…”
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    Machine learning applications in radiation oncology by Field, Matthew, Hardcastle, Nicholas, Jameson, Michael, Aherne, Noel, Holloway, Lois

    Published in Physics and imaging in radiation oncology (01-07-2021)
    “…Machine learning technology has a growing impact on radiation oncology with an increasing presence in research and industry. The prevalence of diverse data…”
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    Delivery of magnetic resonance-guided single-fraction stereotactic lung radiotherapy by Finazzi, Tobias, van Sörnsen de Koste, John R., Palacios, Miguel A., Spoelstra, Femke O.B., Slotman, Berend J., Haasbeek, Cornelis J.A., Senan, Suresh

    Published in Physics and imaging in radiation oncology (01-04-2020)
    “…•MR-guidance enables high precision single-fraction lung SABR delivery.•Breath-hold gating resulted in a mean tracked GTVt coverage of 99.6% during…”
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    Cone-beam computed tomography-guided online adaptive radiotherapy is feasible for prostate cancer patients by Zwart, Lisanne G.M., Ong, Francisca, ten Asbroek, Liselotte A., van Dieren, Erik B., Koch, Siete A., Bhawanie, Anand, de Wit, Elisabeth, Dasselaar, Judith J.

    Published in Physics and imaging in radiation oncology (01-04-2022)
    “…•Online adaptive radiotherapy (oART) is achievable within twenty minutes.•Cone-beam computed tomography-guided oART is feasible in daily clinical practice.•The…”
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    Machine learning applications in radiation oncology: Current use and needs to support clinical implementation by Brouwer, Charlotte L., Dinkla, Anna M., Vandewinckele, Liesbeth, Crijns, Wouter, Claessens, Michaël, Verellen, Dirk, van Elmpt, Wouter

    Published in Physics and imaging in radiation oncology (01-10-2020)
    “…The use of artificial intelligence (AI)/ machine learning (ML) applications in radiation oncology is emerging, however no clear guidelines on commissioning of…”
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    External validation of deep learning-based contouring of head and neck organs at risk by Brunenberg, Ellen J.L., Steinseifer, Isabell K., van den Bosch, Sven, Kaanders, Johannes H.A.M., Brouwer, Charlotte L., Gooding, Mark J., van Elmpt, Wouter, Monshouwer, René

    Published in Physics and imaging in radiation oncology (01-07-2020)
    “…Head and neck (HN) radiotherapy can benefit from automatic delineation of tumor and surrounding organs because of the complex anatomy and the regular need for…”
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    A survey of practice patterns for adaptive particle therapy for interfractional changes by Trnkova, Petra, Zhang, Ye, Toshito, Toshiyuki, Heijmen, Ben, Richter, Christian, Aznar, Marianne C., Albertini, Francesca, Bolsi, Alessandra, Daartz, Juliane, Knopf, Antje C., Bertholet, Jenny

    Published in Physics and imaging in radiation oncology (01-04-2023)
    “…•84% of particle therapy centres adapt plans for inter-fractional changes.•All users of adaptive particle therapy except two perform offline plan…”
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    Clinical evaluation of synthetic computed tomography methods in adaptive proton therapy of lung cancer patients by Taasti, Vicki Trier, Hattu, Djoya, Peeters, Stephanie, van der Salm, Anke, van Loon, Judith, de Ruysscher, Dirk, Nilsson, Rasmus, Andersson, Sebastian, Engwall, Erik, Unipan, Mirko, Canters, Richard

    Published in Physics and imaging in radiation oncology (01-07-2023)
    “…•Use of synthetic CTs for adaptive proton therapy of lung cancer patients.•42 patients included, both with and without anatomical changes.•Evaluation of…”
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    A survey of practice patterns for real-time intrafractional motion-management in particle therapy by Zhang, Ye, Trnkova, Petra, Toshito, Toshiyuki, Heijmen, Ben, Richter, Christian, Aznar, Marianne, Albertini, Francesca, Bolsi, Alexandra, Daartz, Juliane, Bertholet, Jenny, Knopf, Antje

    Published in Physics and imaging in radiation oncology (01-04-2023)
    “…Organ motion compromises accurate particle therapy delivery. This study reports on the practice patterns for real-time intrafractional motion-management in…”
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