Evidence map›Paper›PMID 25834635›Full record

ReviewComputational and mathematical methods in medicine2015

Towards multidimensional radiotherapy: key challenges for treatment individualisation.

Iuliana Toma-Dasu, Alexandru Dasu

Abstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Biologically Individualized Radiotherapy Based on PET: A Novel Approach to Treatment Optimization of Head and Neck Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Iuliana Toma-DasuMedical Radiation Physics, Stockholm University and Karolinska Institutet, P.O. Box 260, 171 76 Stockholm, Sweden.ORCID 0000-0002-7101-240X
Alexandru DasuDepartment of Radiation Physics and Department of Medical and Health Sciences, Linköping University, 581 83 Linköping, Sweden.ORCID 0000-0001-8171-2541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AlgorithmsBiopsyCell ProliferationHumansHypoxiaImage Processing, Computer-AssistedLinear ModelsNeoplasmsPhenotypePositron-Emission TomographyRadiopharmaceuticalsRadiotherapyRadiotherapy Planning, Computer-AssistedTime FactorsRadiopharmaceuticals

Identifiers

PMID25834635
PMCPMC4365339

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.