Evidence map›Paper›PMID 30499263›Full record

ArticleJournal of biomedical optics2018

Detecting joint inflammation by an LED-based photoacoustic imaging system: a feasibility study.

Janggun Jo, Guan Xu, Yunhao Zhu, Mary Burton, Jeffrey Sarazin, Elena Schiopu, Girish Gandikota, Xueding Wang

Erratum issuedOpen access · goldAbstract readLetter
In one paragraph

Article in Journal of biomedical optics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 59 citations in OpenAlex.

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  9. An Automatic 3-D Ultrasound and Photoacoustic Combined Imaging System for Human Inflammatory Arthritis.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Janggun JoUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
Guan XuUniversity of Michigan Medical School, Department of Radiology, Ann Arbor, Michigan, United States.
Yunhao ZhuUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
Mary BurtonUniversity of Michigan Medical School, Department of Radiology, Ann Arbor, Michigan, United States.
Jeffrey SarazinUniversity of Michigan Medical School, Division of Rheumatology, Department of Internal Medicine, An, United States.
Elena SchiopuUniversity of Michigan Medical School, Division of Rheumatology, Department of Internal Medicine, An, United States.
Girish GandikotaUniversity of Michigan Medical School, Department of Radiology, Ann Arbor, Michigan, United States.
Xueding WangUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
University of Michigan–Ann Arbor · USMichigan United · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Physiology of Inflammatory Arthritis in High ResolutionR01AR060350 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WANG, XUEDING · 2011 to 2021
$6.0M
In vivo photoacoustic biopsy for intestinal strictures in Crohn's diseaseR21AI122098 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HIGGINS, PETER D.R., XU, GUAN · 2016 to 2017
$397k
NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR002240NIAID NIH HHS R21 AI122098NIAMS NIH HHS R01 AR060350
6 · The paper itself

Abstract

Light-emitting diode (LED) light sources have recently been introduced to photoacoustic imaging (PAI). The LEDs enable a smaller footprint for PAI systems when compared to laser sources, thereby improving system portability and allowing for improved access. An LED-based PAI system has been employed to identify inflammatory arthritis in human hand joints. B-mode ultrasound (US), Doppler, and PAIs were obtained from 12 joints with clinically active arthritis, five joints with subclinically active arthritis, and 12 normal joints. The quantitative assessment of hyperemia in joints by PAI demonstrated statistically significant differences among the three conditions. The imaging results from the subclinically active arthritis joints also suggested that the LED-based PAI has a higher sensitivity to angiogenic microvascularity compared to US Doppler imaging. This initial clinical study on arthritis patients validates that PAI can be a potential imaging modality for the diagnosis of inflammatory arthritis.

Indexed as

ArthritisEquipment DesignFeasibility StudiesHand JointsHumansImage Interpretation, Computer-AssistedPhotoacoustic TechniquesUltrasonography, Dopplerinflammatory arthritisjointlight-emitting diodephotoacoustic imaging

Identifiers

PMID30499263
PMCPMC6262119
OpenAlexW2902782011

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.