Evidence map›Paper›PMID 29998214›Full record

ReviewEuropean journal of hybrid imaging2018

PET/MRI: a frontier in era of complementary hybrid imaging.

Sikkandhar Musafargani, Krishna Kanta Ghosh, Sachin Mishra, Pachaiyappan Mahalakshmi, Parasuraman Padmanabhan, Balázs Gulyás

Abstract readReview
In one paragraph

Review in European journal of hybrid imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Strategy for early diagnosis of pancreatic cancer.Frontiers in gastroenterology (Lausanne, Switzerland) · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Breast PET/MRI Hybrid Imaging and Targeted Tracers.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  14. Article
  15. Diagnosis and prognostic predictive value of delineation methods fromAmerican journal of nuclear medicine and molecular imaging · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

6 authors.

Sikkandhar Musafargani1Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921 Singapore.
Krishna Kanta Ghosh1Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921 Singapore.
Sachin Mishra1Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921 Singapore.
Pachaiyappan Mahalakshmi2School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014 India.
Parasuraman Padmanabhan1Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921 Singapore.
Balázs Gulyás1Lee Kong Chian School of Medicine, Nanyang Technological University, 59 Nanyang Drive, Singapore, 636921 Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With primitive approaches, the diagnosis and therapy were operated at the cellular, molecular, or even at the genetic level. As the diagnostic techniques are more concentrated towards molecular level, multi modal imaging becomes specifically essential. Multi-modal imaging has extensive applications in clinical as well as in pre-clinical studies. Positron Emission Tomography (PET) has flourished in the field of nuclear medicine, which has motivated it to fuse with Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) for PET/CT and PET/MRI respectively. However, the challenges in PET/CT are due to the inability of simultaneous acquisition and reduced soft tissue contrast, which has led to the development of PET/MRI. Also, MRI offers the better soft tissue contrast over CT. Hence, fusion of PET and MRI results in combining structural information with functional image from PET. Yet, it has many technical challenges due to the interference between the modalities. Also, it must be resolved with various approaches for addressing the shortcomings of each system and improvise on the image quantification system. This review elaborates on the various challenges in the present PET/MRI system and the future directions of the hybrid modality. Also, the different data acquisition and analysis techniques of PET/MRI system are discussed with enhanced details on the software tools.

Indexed as

Attenuation correctionHybrid modalityImage reconstructionMulti-modal imagingPET/MRI

Identifiers

PMID29998214
PMCPMC6015803

What OpenQuestion holds

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LicenceCC BY
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.