liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards multidimensional radiotherapy: key challenges for treatment individualisation
Stockholm University and Karolinska Institutet.ORCID iD: 0000-0002-7101-240X
Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Radiation Physics. Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences.ORCID iD: 0000-0001-8171-2541
2015 (English)In: Computational & Mathematical Methods in Medicine, ISSN 1748-670X, E-ISSN 1748-6718, Vol. 2015, Article ID 934380- p.Article, review/survey (Refereed) Published
Abstract [en]

Functional and molecular imaging of tumours have offered the possibility of redefining the target in cancer therapy and individualising the treatment with a multidimensional approach that aims to target the adverse processes known to impact negatively upon treatment result. Following the first theoretical attempts to include imaging information into treatment planning, it became clear that the biological features of interest for targeting exhibit considerable heterogeneity with respect to magnitude, spatial, and temporal distribution, both within one patient and between patients, which require more advanced solutions for the way the treatment is planned and adapted. Combining multiparameter information from imaging with predictive information from biopsies and molecular analyses as well as in treatment monitoring of tumour responsiveness appears to be the key approach to maximise the individualisation of treatment. This review paper aims to discuss some of the key challenges for incorporating into treatment planning and optimisation the radiobiological features of the tumour derived from pretreatment PET imaging of tumour metabolism, proliferation, and hypoxia and combining them with intreatment monitoring of responsiveness and other predictive factors with the ultimate aim of individualising the treatment towards the maximisation of response.

Place, publisher, year, edition, pages
Taylor & Francis, 2015. Vol. 2015, Article ID 934380- p.
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:liu:diva-110310DOI: 10.1155/2015/934380ISI: 000352370300001OAI: oai:DiVA.org:liu-110310DiVA: diva2:744117
Available from: 2014-09-06 Created: 2014-09-06 Last updated: 2017-12-05

Open Access in DiVA

fulltext(1651 kB)164 downloads
File information
File name FULLTEXT01.pdfFile size 1651 kBChecksum SHA-512
e60dbe221645e26c8c17ed7f635b8055f64faf3ed9eed017d525a7fc47b8f70ca0997fbf33e590a951b76da1ecad96559b7c9c1da67df16c89b65930c35313ec
Type fulltextMimetype application/pdf

Other links

Publisher's full textOpen Access PDF (2003 kB)

Authority records BETA

Toma-Dasu, IulianaDasu, Alexandru

Search in DiVA

By author/editor
Toma-Dasu, IulianaDasu, Alexandru
By organisation
Department of Radiation PhysicsDivision of Radiological SciencesFaculty of Health Sciences
In the same journal
Computational & Mathematical Methods in Medicine
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar
Total: 164 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 514 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf