Evidence map›Paper›PMID 32349414›Full record

ReviewSensors (Basel, Switzerland)2020

Towards Clinical Translation of LED-Based Photoacoustic Imaging: A Review.

Yunhao Zhu, Ting Feng, Qian Cheng, Xueding Wang, Sidan Du, Naoto Sato, Mithun Kuniyil Ajith Singh, Jie Yuan

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
  6. Review
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  8. Review
  9. Article
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  12. TowardsFundamental research · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    Article
  17. Article
  18. Article
  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

8 authors.

Yunhao ZhuDepartment of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
Ting FengDepartment of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Qian ChengInstitution of Acoustics, Tongji University, Shanghai 200092, China.ORCID 0000-0003-3621-5743
Xueding WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Sidan DuDepartment of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
Naoto SatoResearch and Development Division, CYBERDYNE INC, Tsukuba 3050818, Japan.
Mithun Kuniyil Ajith SinghResearch and Business Development Division, CYBERDYNE INC, Rotterdam 3013, The Netherlands.ORCID 0000-0001-8670-6335
Jie YuanDepartment of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.ORCID 0000-0001-6528-5500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic imaging, with the capability to provide simultaneous structural, functional, and molecular information, is one of the fastest growing biomedical imaging modalities of recent times. As a hybrid modality, it not only provides greater penetration depth than the purely optical imaging techniques, but also provides optical contrast of molecular components in the living tissue. Conventionally, photoacoustic imaging systems utilize bulky and expensive class IV lasers, which is one of the key factors hindering the clinical translation of this promising modality. Use of LEDs which are portable and affordable offers a unique opportunity to accelerate the clinical translation of photoacoustics. In this paper, we first review the development history of LED as an illumination source in biomedical photoacoustic imaging. Key developments in this area, from point-source measurements to development of high-power LED arrays, are briefly discussed. Finally, we thoroughly review multiple phantom, ex-vivo, animal in-vivo, human in-vivo, and clinical pilot studies and demonstrate the unprecedented preclinical and clinical potential of LED-based photoacoustic imaging.

Indexed as

AnimalsHumansOptical ImagingPhotoacoustic TechniquesSpectrum AnalysisclinicLEDoptical imagingphotoacoustic

Identifiers

PMID32349414
PMCPMC7249023

What OpenQuestion holds

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LicenceCC BY
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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.