Evidence map›Paper›PMID 24688776›Full record

ReviewJournal of thoracic disease2014

Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities.

Wouter van Elmpt, Catharina M L Zegers, Marco Das, Dirk De Ruysscher

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. [Quantitative Imaging Assessment of Tumor Response to Chemoradiation 
in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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.

Wouter van Elmpt1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium.
Catharina M L Zegers1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium.
Marco Das1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium.
Dirk De Ruysscher1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging techniques for the characterization and delineation of primary lung tumours and lymph nodes are a prerequisite for adequate radiotherapy. Numerous imaging modalities have been proposed for this purpose, but only computed tomography (CT) and FDG-PET have been implemented in clinical routine. Hypoxia PET, dynamic contrast-enhanced CT (DCE-CT), dual energy CT (DECT) and (functional) magnetic resonance imaging (MRI) hold promise for the future. Besides information on the primary tumour, these techniques can be used for quantification of tissue heterogeneity and response. In the future, treatment strategies may be designed which are based on imaging techniques to optimize individual treatment.

Indexed as

heterogeneityimagingLung cancertumour delineation

Identifiers

PMID24688776
PMCPMC3968562

What OpenQuestion holds

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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.