Evidence map›Paper›PMID 37538444›Full record

ArticleMedicine in novel technology and devices2023

The sound of blood: photoacoustic imaging in blood analysis.

Mitchell Veverka, Luca Menozzi, Junjie Yao

Abstract read
In one paragraph

Article in Medicine in novel technology and devices, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Dynamic modeling of photoacoustic sensor data to classify human blood samples.Medical & biological engineering & computing · 2024
    Article
  6. Article
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.

Mitchell VeverkaDuke University Hospital System, United States.
Luca MenozziDuke University, United States.
Junjie YaoDuke University, United States.

Funding

High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
High-throughput Imaging-integrated Vascular Model for Understanding Thromboembolism and Therapeutics ScreeningR01HL166522 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Junjie Yao, Y. Shrike Zhang · 2023 to 2026
$2.7M
Stimulating Access to Research in Residency (StARR) - NHLBIR38HL143612 · NHLBI · DUKE UNIVERSITY · PI Mai ElMallah, David H. Harpole · 2018 to 2026
$2.6M
Head-mounted Photoacoustic Imaging of Deep-brain Neural Activities in Freely Behaving AnimalsRF1NS115581 · NINDS · DUKE UNIVERSITY · PI VERKHUSHA, VLADISLAV, YAO, JUNJIE · 2020 to 2020
$2.0M
High-Throughput Volumetric Photoacoustic Imaging of Living Vascularized OrganoidsR01EB028143 · NIBIB · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2022
$2.0M
Transcranial Photoacoustic Imaging Using a Virtual ArrayR21EB027981 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI JING, YUN · 2020 to 2020
$455k
Photoacoustic-imaging-guided intravascular sonothrombolysisR21EB027304 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI JIANG, XIAONING, YAO, JUNJIE · 2019 to 2020
$411k
NHLBI NIH HHS R01 HL166522NHLBI NIH HHS R38 HL143612NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R21 EB027304NIBIB NIH HHS R21 EB027981NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

Blood analysis is a ubiquitous and critical aspect of modern medicine. Analyzing blood samples requires invasive techniques, various testing systems, and samples are limited to relatively small volumes. Photoacoustic imaging (PAI) is a novel imaging modality that utilizes non-ionizing energy that shows promise as an alternative to current methods. This paper seeks to review current applications of PAI in blood analysis for clinical use. Furthermore, we discuss obstacles to implementation and future directions to overcome these challenges. Firstly, we discuss three applications to cellular analysis of blood: sickle cell, bacteria, and circulating tumor cell detection. We then discuss applications to the analysis of blood plasma, including glucose detection and anticoagulation quantification. As such, we hope this article will serve as inspiration for PAI's potential application in blood analysis and prompt further studies to ultimately implement PAI into clinical practice.

Indexed as

AnalytesBlood analysisNovel diagnostic techniquePathogen detectionPhotoacoustic flow cytometryPhotoacoustic imaging

Identifiers

PMID37538444
PMCPMC10399298

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.