Evidence map›Paper›PMID 18922126›Full record

ReviewFuture oncology (London, England)2008

Biologically conformal treatment: biomarkers and functional imaging in radiation oncology.

Yaacov Richard Lawrence, Maria Werner-Wasik, Adam P Dicker

Open access · greenAbstract readReview
In one paragraph

Review in Future oncology (London, England), 2008. 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
2.0field-weighted citation impact, top 14% of its field
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, 13 citations in OpenAlex.

  1. Proliferation and apoptosis after whole-body irradiation: longitudinal PET study in a mouse model.European journal of nuclear medicine and molecular imaging · 2024
    Article
  2. Article
  3. Article
  4. Review
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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

3 authors at 1 institution in 1 country.

Yaacov Richard LawrenceDepartment of Radiation Oncology, Division of Experimental Radiation Oncology, Kimmel Cancer Center, Jefferson Medical College of Thomas Jefferson University, Philadelphia, PA 19107, USA. yaacovla@gmail.com
Maria Werner-Wasik
Adam P Dicker
Thomas Jefferson University · US

Funding

Microenvironmental Control of the Radiation ResponseR01CA106633 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DICKER, ADAM PAUL · 2004 to 2007
$1.0M
NCI NIH HHS R01 CA106633
6 · The paper itself

Abstract

'Conformal radiation therapy' is the standard of care in radiation oncology, referring to the process of shaping the radiation beam to precisely match a tumor's physical dimensions. We describe 'biologically conformal radiotherapy', in which the radiation oncologist matches the prescribed treatment to a tumor's biological characteristics and the host's predicted tolerance of radiation. This paradigm emphasizes that not all tumors are equally sensitive to radiation; conversely, some patients are especially susceptible to radiation's side effects. Patients bearing radioresistant tumors or those prone to toxicity may be best treated with the incorporation of targeted radiation modulators or, in extreme cases, by a different modality. The biological characteristics of tumors can be assessed by a wide range of techniques: functional imaging (positron emission tomography and advanced magnetic resonance imaging), single gene/protein molecular techniques and 'omic' technologies. This paper reviews the latest advances in the use of biomarkers and functional imaging in guiding patients to receive the most appropriate treatment.

Indexed as

Biomarkers, TumorDiagnostic ImagingHumansNeoplasmsRadiation OncologyRadiotherapy, ConformalBiomarkers, Tumor

Identifiers

PMID18922126
PMCPMC3926950
OpenAlexW2059994961

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.