Evidence map›Paper›PMID 16766269›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2006

Functional magnetic resonance imaging for defining the biological target volume.

Hans-Ulrich Kauczor, Christian Zechmann, Bram Stieltjes, Marc-Andre Weber

Abstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Response Evaluation of Chemotherapy for Lung Cancer.Tuberculosis and respiratory diseases · 2017
    Review
  4. Diffusion-weighted MRI of lymphoma: prognostic utility and implications for PET/MRI?European journal of nuclear medicine and molecular imaging · 2013
    Article
  5. Feasibility of functional imaging for brachytherapy.Journal of contemporary brachytherapy · 2009
    Review
  6. Current concepts on imaging in radiotherapy.European journal of nuclear medicine and molecular imaging · 2008
    Article
  7. 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

4 authors.

Hans-Ulrich KauczorDepartment of Radiology, Innovative Cancer Diagnostics and Therapy, German Cancer Research Center, Heidelberg, Germany. hu.kauczor@dkfz.de
Christian Zechmann
Bram Stieltjes
Marc-Andre Weber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphology as demonstrated by CT is the basis for radiotherapy planning. Intensity-modulated and adaptive radiotherapy techniques would greatly benefit from additional functional information allowing for definition of the biological target volume. MRI techniques include several which can characterize and quantify different tissue properties and their tumour-related changes. Results of perfusion MRI represent microvascular density and permeability; MR spectroscopy depicts particular metabolites; diffusion weighted imaging shows tissue at risk and tumour cellularity; while dynamic 3D acquisition (4D MRI) shows organ motion and the mobility of tumours within them.

Indexed as

AxonsDiffusion Magnetic Resonance ImagingEnergy MetabolismFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyMaleMotionNeoplasmsNeovascularization, PathologicOrgan SizeRadiotherapy Planning, Computer-AssistedTumor Burden

Identifiers

PMID16766269
PMCPMC1693773

What OpenQuestion holds

Textmetadata
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.