Sökning: onr:"swepub:oai:DiVA.org:su-227193" >
Biologically guided...
Biologically guided automated treatment planning and evaluation : potential for treatment adaptation in head and neck cancer
-
- Ureba, Ana (författare)
- Stockholms universitet,Fysikum
-
- Toma-Daşu, Iuliana, 1972- (författare)
- Stockholms universitet,Fysikum
-
- Lazzeroni, Marta, 1980- (författare)
- Stockholms universitet,Fysikum
-
(creator_code:org_t)
- 2023
- 2023
- Engelska.
-
Ingår i: Acta Oncologica. - 0284-186X .- 1651-226X. ; 62:11, s. 1389-1393
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Radiation therapy is among the main treatment options offered as a non-surgical solution in the treatment of cancer. This technology-driven treatment modality has evolved significantly over the past few decades, aiming to improve the therapeutic ratio and local tumour control. Modern external beam radiotherapy such as intensity modulated radiotherapy (IMRT), intensity modulated arc therapy (IMAT) or volumetric arc therapy (VMAT), and intensity modulated proton therapy (IMPT) approaches modulate intensity to deliver precisely the radiation doses required to specific areas within the tumour, and to spare nearby organs [Citation1,Citation2]. The use of these techniques in combination with image-guided techniques and multimodality imaging has provided more accurate radiotherapy allowing for a reduction of long-term adverse effects [Citation3]. Nowadays, most treatment planning systems (TPS) integrate imaging information for the diagnosis, planning, and delivery process, offering tools for image registration and fusion, dose calculation, and optimisation, among others.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas