Evidence map›Paper›PMID 25469112›Full record

ReviewJournal of biomedical research2014

PET probes beyond (18)F-FDG.

Lei Jiang, Yingfeng Tu, Hongcheng Shi, Zhen Cheng

Abstract readReview
In one paragraph

Review in Journal of biomedical research, 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. Article
  2. Review
  3. Review
  4. Cold Kit Labeling: The Future ofFrontiers in medicine · 2022
    Review
  5. Systematic imaging in medicine: a comprehensive review.European journal of nuclear medicine and molecular imaging · 2021
    Review
  6. Review
  7. Insight into the Molecular Imaging of Alzheimer's Disease.International journal of biomedical imaging · 2016
    Review
  8. Article
  9. In vivo (Athens, Greece)
    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.

Lei JiangDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China. ; Molecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford Cancer Institute, Bio-X Program, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA 94305, USA.
Yingfeng TuMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford Cancer Institute, Bio-X Program, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA 94305, USA.
Hongcheng ShiDepartment of Nuclear Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China.
Zhen ChengMolecular Imaging Program at Stanford (MIPS), Department of Radiology, Stanford Cancer Institute, Bio-X Program, Canary Center at Stanford for Cancer Early Detection, Stanford University, Stanford, CA 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the past several decades, positron emission tomography (PET) has been one of the rapidly growing areas of medical imaging; particularly, its applications in routine oncological practice have been widely recognized. At present, (18)F-fluorodeoxyglucose ((18)F-FDG) is the most broadly used PET probe. However, (18)F-FDG also suffers many limitations. Thus, scientists and clinicians are greatly interested in exploring and developing new PET imaging probes with high affinity and specificity. In this review, we briefly summarize the representative PET probes beyond (18)F-FDG that are available for patients imaging in three major clinical areas (oncology, neurology and cardiology), and we also discuss the feasibility and trends in developing new PET probes for personalized medicine.

Indexed as

molecular probespersonalized medicinePET

Identifiers

PMID25469112
PMCPMC4250522

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.