Evidence map›Paper›PMID 27731357›Full record

ArticleScientific reports2016

Programmable Real-time Clinical Photoacoustic and Ultrasound Imaging System.

Jeesu Kim, Sara Park, Yuhan Jung, Sunyeob Chang, Jinyong Park, Yumiao Zhang, Jonathan F Lovell, Chulhong Kim

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Polymer Nanoparticles Advancements for Gynecological Cancers.International journal of nanomedicine · 2025
    Review
  14. Article
  15. Review
  16. Tri-modalityPhotoacoustics · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    Article

42 more citing papers are in PubMed but not listed here.

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.

Jeesu KimDepartments of Creative IT Engineering and Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Sara ParkDepartments of Creative IT Engineering and Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Yuhan JungDepartments of Creative IT Engineering and Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, 37673, Republic of Korea.
Sunyeob ChangAlpinion Medical Systems, 72 Digital-Ro 26-Gil, Guro-Gu, Seoul, 08393, Republic of Korea.
Jinyong ParkAlpinion Medical Systems, 72 Digital-Ro 26-Gil, Guro-Gu, Seoul, 08393, Republic of Korea.
Yumiao ZhangDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, United States of America.
Jonathan F LovellDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, United States of America.
Chulhong KimDepartments of Creative IT Engineering and Electrical Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, 37673, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic imaging has attracted interest for its capacity to capture functional spectral information with high spatial and temporal resolution in biological tissues. Several photoacoustic imaging systems have been commercialized recently, but they are variously limited by non-clinically relevant designs, immobility, single anatomical utility (e.g., breast only), or non-programmable interfaces. Here, we present a real-time clinical photoacoustic and ultrasound imaging system which consists of an FDA-approved clinical ultrasound system integrated with a portable laser. The system is completely programmable, has an intuitive user interface, and can be adapted for different applications by switching handheld imaging probes with various transducer types. The customizable photoacoustic and ultrasound imaging system is intended to meet the diverse needs of medical researchers performing both clinical and preclinical photoacoustic studies.

Indexed as

AnimalsBlood VesselsChickensComputer SystemsContrast MediaEquipment DesignFemaleGastrointestinal TractHumansLasers, Solid-StateNanostructuresPhantoms, ImagingPhotoacoustic TechniquesRatsRats, Sprague-DawleySoftwareContrast Media

Identifiers

PMID27731357
PMCPMC5059665

What OpenQuestion holds

Textmetadata
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.