Results 21 to 30 of about 182,390 (296)

A Review of Boron Neutron Capture Therapy: Its History and Current Challenges

, 2022
MECHANISM OF ACTION: External beam, whether with photons or particles, remains as the most common type of radiation therapy. The main drawback is that radiation deposits dose in healthy tissue before reaching its target.
Seldon, Crystal, Butkus, Michael, Sauerwein, Wolfgang, Giap, Huan B., Jin, Will H.   +4 more
core   +1 more source

Treatment plan comparison of proton vs photon radiotherapy for lower-grade gliomas

Physics and Imaging in Radiation Oncology, 2021
Background and purpose: Patients with lower-grade gliomas are long-term survivors after radiotherapy and may benefit from the reduced dose to normal tissue achievable with proton therapy.
Camilla S. Byskov, Christian R. Hansen, Rikke H. Dahlrot, Lene Haldbo-Classen, Charlotte A. Haslund, Flemming Kjær-Kristoffersen, Thomas O. Kristensen, Yasmin Lassen-Ramshad, Slávka Lukacova, Aida Muhic, Petra W. Nyström, Britta Weber, Jesper F. Kallehauge   +12 more
doaj   +1 more source

Circulating cell-free DNA as predictor of pathological complete response in locally advanced rectal cancer patients undergoing preoperative chemoradiotherapy

Clinical and Translational Radiation Oncology, 2022
Background: The watch and wait (W&W) strategy is proposed for patients with locally advanced rectal cancer (LARC) achieving clinical complete response (cCR) after neoadjuvant radiotherapy.
Christina Glismand Truelsen, Camilla Skovhus Kronborg, Brita Singers Sørensen, Louise Bach Callesen, Karen-Lise Garm Spindler   +4 more
doaj   +1 more source

Conceptual design of a nonscaling fixed field alternating gradient accelerator for protons and carbon ions for charged particle therapy [PDF]

, 2013
The conceptual design for a nonscaling fixed field alternating gradient accelerator suitable for charged particle therapy (the use of protons and other light ions to treat some forms of cancer) is ...
Wilson P, J. Strachan, J. H. Cobb, P. A. McIntosh, Edgecock TR, Witte, H., Cobb, JH, Tygier S, Edgecock, T. R., Rochford J, P. Wilson, Easton, MJ, Sheehy, SL, Owen HL, Smith, SL, J. Rochford, Machida, S., Wilson, P., Strachan, J, Prior, C.R., Vojnovic, B, Witte H, R. Fenning, Owen, H.L., Barlow, R. J., Vojnovic, B., J. Pasternak, R. Seviour, Pattalwar, S., S. Tygier, Barlow RJ, Jones, B., Machida, S, Cobb JH, Yokoi, T., Beard, CD, Edgecock, TR, Gardner, I.S.K., N. Bliss, Pattalwar, S, Kelliher, DJ, C. D. Beard, I. S. K. Gardner, Fenning, R., Fenning R, B. Vojnovic, McIntosh, P.A., Strachan J, T. R. Edgecock, A. Khan, Seviour, R., Jones B, Cobb, J. H., Aslaninejad M, Prior, CR, Owen, HL, Hill, M. A., Smith, S. L., Pozimski J, Peach, K.J., Peach, K. J., Seviour R, M. J. Easton, Rochford, J, Cobb, John, Seviour, R, Easton, M. J., Beard, C. D., Gardner, I. S. K., Prior, C. R., B. Jones, Beard, C.D., Seviour, Rebecca, Strachan, J., Gardner ISK, Smith SL, Cobb, J.H., Jones, T., Easton, M.J., Aslaninejad, M, Pasternak, J., S. L. Sheehy, Jones, T, C. R. Prior, Kelliher, D. J., D. J. Kelliher, Wilson, P, Yokoi, T, Yokoi T, McIntosh PA, Rogers CT, Rogers, C.T., M. A. Hill, S. L. Smith, Peach, KJ, Pasternak, J, Vojnovic, Boris, Hill MA, S. Machida, Pozimski, J, Johnstone, CJ, Owen, H. L., R. J. Barlow, Gardner, ISK, C. J. Johnstone, Beard CD, H. L. Owen, H. Witte, Gardner, I. S.K., Jones, B, Hill, M.A., Witte, H, J. Pozimski, Rochford, J., Machida S, Jones T, T. Yokoi, Khan, A., Prior CR, Pattalwar S, Bliss, N., Johnstone CJ, Tygier, S., Peach, Ken, McIntosh, PA, Rogers, C. T., Edgecock, R., Kelliher, D.J., Peach KJ, Pozimski, J., Khan, A, Barlow, R.J., M. Aslaninejad, Johnstone, C.J., Sheehy SL, Vojnovic B, C. T. Rogers, Tygier, S, Johnstone, C. J., McIntosh, P. A., Kelliher DJ, Barlow, RJ, Jones, Bleddyn, S. Pattalwar, Sheehy, S. L., Pasternak J, Aslaninejad, M., Bliss N, Khan A, Easton MJ, T. Jones, Rogers, CT, K. J. Peach, Fenning, R, Gardner, I. S K, Hill, MA, Smith, S.L., Bliss, N   +157 more
core   +1 more source

Towards interactive deep-learning for tumour segmentation in head and neck cancer radiotherapy

Physics and Imaging in Radiation Oncology, 2023
Background and purpose: With deep-learning, gross tumour volume (GTV) auto-segmentation has substantially been improved, but still substantial manual corrections are needed. With interactive deep-learning (iDL), manual corrections can be used to update a
Zixiang Wei, Jintao Ren, Stine Sofia Korreman, Jasper Nijkamp   +3 more
doaj   +1 more source

Evaluation of an a priori scatter correction algorithm for cone-beam computed tomography based range and dose calculations in proton therapy

Physics and Imaging in Radiation Oncology, 2020
Background and purpose: Scatter correction of cone-beam computed tomography (CBCT) projections may enable accurate online dose-delivery estimations in photon and proton-based radiotherapy.
Andreas Gravgaard Andersen, Yang-Kyun Park, Ulrik Vindelev Elstrøm, Jørgen Breede Baltzer Petersen, Gregory C. Sharp, Brian Winey, Lei Dong, Ludvig Paul Muren   +7 more
doaj   +1 more source

Tumour therapy with particle beams [PDF]

AIP Conference Proceedings, 2000
Photons are exponentially attenuated in matter producing high doses close to the surface. Therefore they are not well suited for the treatment of deep seated tumours. Charged particles, in contrast, exhibit a sharp increase of ionisation density close to the end of their range, the so-called Bragg-peak.
openaire   +2 more sources

Particle Beam Therapy Tolerance and Outcome on Patients with Autoimmune Diseases: A Single Institution Matched Case–Control Study

, 2021
It is unclear whether autoimmune diseases (ADs) may predispose patients to higher radiation-induced toxicity, and no data are available regarding particle therapy.
Giulia Riva, Viviana Vitolo, Maria Bonora, Ester Orlandi, Barbara Vischioni, Agnieszka Chalaszczyk, Stefano Cavalieri, Amelia Barcellini, Rossana Ingargiola, Maria Rosaria Fiore, Sara Gandini, Sara Ronchi, Alberto Iannalfi   +12 more
core   +1 more source

Potential benefit of scanned proton beam versus photons as adjuvant radiation therapy in breast cancer

, 2015
Purpose: To investigate the feasibility of using scanned proton beams as adjuvant radiation therapy for breast cancer. Long-term cardiopulmonary complications may worsen the quality of life and reduce the positive contribution of radiation therapy, which
Josefsson, Dan,, Dohlmar, Frida, Flejmer, Anna M.,, Dasu, Alexandru, Dohlmar, Frida,, Flejmer, Anna M., Witt Nyström, Petra,, Dasu, Alexandru,, Witt Nyström, Petra, Josefsson, Dan   +9 more
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Comparison of two dual-energy CT-based methods for proton stopping-power ratio estimation in brain cancer patients with metal implants

Acta Oncologica
Background and purpose: Accurate stopping-power ratio (SPR) estimation is crucial for proton therapy planning. In brain cancer patients with metal clips, SPR accuracy may be affected by high-density materials and imaging artefacts.
Ivanka Sojat Tarp, Vicki Trier Taasti, Maria Fuglsang Jensen, Ludvig Paul Muren, Kenneth Jensen   +4 more
doaj   +1 more source