Evidence map›Paper›PMID 28717412›Full record

ReviewWorld journal of radiology2017

Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology".

Abhishek Mahajan, Sneha S Deshpande, Meenakshi H Thakur

Abstract readReview
In one paragraph

Review in World journal of radiology, 2017. 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. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Background, current role, and potential applications of radiogenomics.Journal of magnetic resonance imaging : JMRI · 2018
    Review
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.

Abhishek MahajanAbhishek Mahajan, Sneha S Deshpande, Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Tata Memorial Centre, Mumbai 400012, Maharashtra, India.
Sneha S DeshpandeAbhishek Mahajan, Sneha S Deshpande, Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Tata Memorial Centre, Mumbai 400012, Maharashtra, India.
Meenakshi H ThakurAbhishek Mahajan, Sneha S Deshpande, Department of Radiodiagnosis and Imaging, Tata Memorial Hospital, Tata Memorial Centre, Mumbai 400012, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Personalized oncology" is a multi-disciplinary science, which requires inputs from various streams for optimal patient management. Humongous progress in the treatment modalities available and the increasing need to provide functional information in addition to the morphological data; has led to leaping progress in the field of imaging. Magnetic resonance imaging has undergone tremendous progress with various newer MR techniques providing vital functional information and is becoming the cornerstone of "radiomics/radiogenomics". Diffusion-weighted imaging is one such technique which capitalizes on the tendency of water protons to diffuse randomly in a given system. This technique has revolutionized oncological imaging, by giving vital qualitative and quantitative information regarding tumor biology which helps in detection, characterization and post treatment surveillance of the lesions and challenging the notion that "one size fits all". It has been applied at various sites with different clinical experience. We hereby present a brief review of this novel functional imaging tool, with its application in "personalized oncology".

Indexed as

BiomarkerDiffusion-weighted imagingFunctional magnetic resonance imagingMolecular imagingRadiomicsTumor biology

Identifiers

PMID28717412
PMCPMC5491653

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.