Evidence map›Paper›PMID 24146172›Full record

ReviewMolecular diagnosis & therapy2014

Preclinical imaging: an essential ally in modern biosciences.

Lídia Cunha, Ildiko Horvath, Sara Ferreira, Joana Lemos, Pedro Costa, Domingos Vieira, Dániel S Veres, Krisztián Szigeti, Teresa Summavielle, Domokos Máthé and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Individual and Simultaneous Imaging ofIEEE transactions on radiation and plasma medical sciences · 2025
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Deep-learning-derived input function in dynamic [Frontiers in nuclear medicine · 2024
    Article
  17. Preparation ofPharmaceutics · 2023
    Article
  18. Article
  19. Quantitative Evaluation of the 3D Anatomy of the Human Osseous Spiral Lamina Using MicroCT.Journal of the Association for Research in Otolaryngology : JARO · 2023
    Article
  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

11 authors.

Lídia CunhaNuclear Medicine Department, High Institute for Allied Health Technologies, Polytechnic Institute of Porto (ESTSP.IPP), 4400-330, Vila Nova de Gaia, Portugal.
Ildiko Horvath
Sara Ferreira
Joana Lemos
Pedro Costa
Domingos Vieira
Dániel S Veres
Krisztián Szigeti
Teresa Summavielle
Domokos Máthé
Luís F Metello

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translational research is changing the practice of modern medicine and the way in which health problems are approached and solved. The use of small-animal models in basic and preclinical sciences is a major keystone for these kinds of research and development strategies, representing a bridge between discoveries at the molecular level and clinical implementation in diagnostics and/or therapeutics. The development of high-resolution in vivo imaging technologies provides a unique opportunity for studying disease in real time, in a quantitative way, at the molecular level, along with the ability to repeatedly and non-invasively monitor disease progression or response to treatment. The greatest advantages of preclinical imaging techniques include the reduction of biological variability and the opportunity to acquire, in continuity, an impressive amount of unique information (without interfering with the biological process under study) in distinct forms, repeated or modulated as needed, along with the substantial reduction in the number of animals required for a particular study, fully complying with 3R (Replacement, Reduction and Refinement) policies. The most suitable modalities for small-animal in vivo imaging applications are based on nuclear medicine techniques (essentially, positron emission tomography [PET] and single photon emission computed tomography [SPECT]), optical imaging (OI), computed tomography (CT), magnetic resonance imaging (MRI), magnetic resonance spectroscopy imaging (MRSI), and ultrasound. Each modality has intrinsic advantages and limitations. More recently, aiming to overcome the inherent limitations of each imaging modality, multimodality devices designed to provide complementary information upon the pathophysiological process under study have gained popularity. The combination of high-resolution modalities, like micro-CT or micro-MRI, with highly sensitive techniques providing functional information, such as micro-PET or micro-SPECT, will continue to broaden the horizons of research in such key areas as infection, oncology, cardiology, and neurology, contributing not only to the understanding of the underlying mechanisms of disease, but also providing efficient and unique tools for evaluating new chemical entities and candidate drugs. The added value of small-animal imaging techniques has driven their increasing use by pharmaceutical companies, contract research organizations, and research institutions.

Indexed as

AnimalsDiagnostic ImagingHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingModels, AnimalPositron-Emission TomographyTomography, Emission-Computed, Single-PhotonTranslational Research, Biomedical

Identifiers

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.