Evidence map›Paper›PMID 26924233›Full record

ReviewTrends in biotechnology2016

Photoacoustic Molecular Imaging: From Multiscale Biomedical Applications Towards Early-Stage Theranostics.

Yajing Liu, Liming Nie, Xiaoyuan Chen

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
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  15. Review of imaging test phantoms.Journal of biomedical optics · 2023
    Review
  16. Article
  17. Article
  18. Biomarkers of aging.Science China. Life sciences · 2023
    Review
  19. 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

3 authors.

Yajing LiuState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine (CMITM), School of Public Health, Xiamen University, Xiamen 361102, China.
Liming NieState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Center for Molecular Imaging and Translational Medicine (CMITM), School of Public Health, Xiamen University, Xiamen 361102, China. Electronic address: nielm@xmu.edu.cn.
Xiaoyuan ChenLaboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), Bethesda, MD 20892, USA. Electronic address: shawn.chen@nih.gov.

Funding

Laboratory of Molecular Imaging and NanomedicineZIAEB000073 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI CHEN, XIAOYUAN · 2010 to 2020
$32.8M
Intramural NIH HHS Z99 EB999999Intramural NIH HHS ZIA EB000073
6 · The paper itself

Abstract

Photoacoustic imaging (PAI) has ushered in a new era of observational biotechnology and has facilitated the exploration of fundamental biological mechanisms and clinical translational applications, which has attracted tremendous attention in recent years. By converting laser into ultrasound emission, PAI combines rich optical contrast, high ultrasonic spatial resolution, and deep penetration depth in a single modality. This evolutional technique enables multiscale and multicontrast visualization from cells to organs, anatomy to function, and molecules to metabolism with high sensitivity and specificity. The state-of-the-art developments and applications of PAI are described in this review. Future prospects for clinical use are also highlighted. Collectively, PAI holds great promise to drive biomedical applications towards early-stage theranostics.

Indexed as

Molecular ImagingPhotoacoustic TechniquesTheranostic NanomedicineAnimalsHumansearly-stage theranosticsmultiscale biomedical applicationphotoacoustic imagingsmart contrast agents

Identifiers

PMID26924233
PMCPMC5600199

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.