Evidence map›Paper›PMID 38036618›Full record

ArticleNature biomedical engineering2024

Ultrafast longitudinal imaging of haemodynamics via single-shot volumetric photoacoustic tomography with a single-element detector.

Yide Zhang, Peng Hu, Lei Li, Rui Cao, Anjul Khadria, Konstantin Maslov, Xin Tong, Yushun Zeng, Laiming Jiang, Qifa Zhou and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  14. Emerging Photoacoustic Imaging Techniques for Peripheral Arterial Disease.Current treatment options in cardiovascular medicine · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Yide Zhang *Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9463-3970
Peng Hu *Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-2933-1239
Lei LiCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
Rui CaoCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0003-4444-7528
Anjul KhadriaCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9771-3650
Konstantin MaslovCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
Xin TongCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
Yushun ZengUSC Roski Eye Institute, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5995-4085
Laiming JiangUSC Roski Eye Institute, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8658-3168
Qifa ZhouUSC Roski Eye Institute, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1527-3020
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA. LVW@caltech.edu.ORCID http://orcid.org/0000-0001-9783-4383
California Institute of Technology · USUniversity of Southern California · US

Funding

Massively parallel high-speed 3D functional photoacoustic computed tomography of the adult human brainU01EB029823 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, DANNY JJ, WANG, LIHONG · 2020 to 2024
$6.7M
High-speed panoramic 3D photoacoustic computed tomography of the breastR35CA220436 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, LIHONG · 2018 to 2024
$6.4M
Label-free intraoperative photoacoustic microscopy for rapid diagnosis of tissue biopsies with specimen integrityR01EB028277 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI D'APUZZO, MASSIMO, WANG, LIHONG · 2019 to 2022
$2.6M
NCI NIH HHS R35 CA220436NIBIB NIH HHS R01 EB028277NIBIB NIH HHS U01 EB029823
6 · The paper itself

Abstract

Techniques for imaging haemodynamics use ionizing radiation or contrast agents or are limited by imaging depth (within approximately 1 mm), complex and expensive data-acquisition systems, or low imaging speeds, system complexity or cost. Here we show that ultrafast volumetric photoacoustic imaging of haemodynamics in the human body at up to 1 kHz can be achieved using a single laser pulse and a single element functioning as 6,400 virtual detectors. The technique, which does not require recalibration for different objects or during long-term operation, enables the longitudinal volumetric imaging of haemodynamics in vasculature a few millimetres below the skin's surface. We demonstrate this technique in vessels in the feet of healthy human volunteers by capturing haemodynamic changes in response to vascular occlusion. Single-shot volumetric photoacoustic imaging using a single-element detector may facilitate the early detection and monitoring of peripheral vascular diseases and may be advantageous for use in biometrics and point-of-care testing.

Indexed as

HemodynamicsPhotoacoustic TechniquesAdultHumansMaleTomography

Identifiers

PMID38036618
PMCPMC11136871
OpenAlexW4389175241

What OpenQuestion holds

Textmetadata
LicenceTDM
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.