Evidence map›Paper›PMID 36213764›Full record

ArticlePhotoacoustics2022

Intraperitoneal administration for sustained photoacoustic contrast agent imaging.

Hailey I Kilian, Chenshuo Ma, Huijuan Zhang, Maomao Chen, Anoop Nilam, Breandan Quinn, Yuqi Tang, Jun Xia, Junjie Yao, Jonathan F Lovell

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Hailey I KilianDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Chenshuo MaDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Huijuan ZhangDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Maomao ChenDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Anoop NilamDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Breandan QuinnDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Yuqi TangDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Jun XiaDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, NC, USA.
Jonathan F LovellDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
University at Buffalo, State University of New York · USDuke University · US

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
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
Development of photoacoustic tomography for non-invasive, label-free imaging of tissue perfusion in chronic woundsR01EB028978 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2021 to 2024
$1.6M
Multiparametric photoacoustic and ultrasonic imaging of the breast in cranial-caudal viewR01EB029596 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2020 to 2023
$1.4M
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
NIBIB NIH HHS R01 EB028143NIBIB NIH HHS R01 EB028978NIBIB NIH HHS R01 EB029596NIBIB NIH HHS R21 EB027304NIBIB NIH HHS R21 EB027981NINDS NIH HHS R01 NS111039NINDS NIH HHS RF1 NS115581
6 · The paper itself

Abstract

Photoacoustic (PA) imaging at 1064 nm in the second near-infrared (NIR-II) has attracted recent attention. We recently reported a surfactant-based formulation of a NIR-II dye (BIBDAH) for NIR-II PA contrast. Here, we investigated BIBDAH as a NIR-II PA contrast agent for longitudinal preclinical PA imaging. When administered to mice by the conventional intravenous (I.V.) route, BIBDAH was rapidly cleared from circulation, as indicated by a decrease in NIR-II absorption in sampled plasma. Conversely, when mice were injected with BIBDAH by the intraperitoneal (I.P.) route, peak NIR-II absorption levels in plasma were lower initially, but there was a sustained dye presence that resulted in a more consistent concentration of dye in plasma over 2 days. Increasing the I.P. injection dose and volume resulted in increased NIR-II area under the curve (AUC) in serum. Bimodal PA and ultrasound imaging reflected these results, showing a rapid decrease in PA signal in blood with I.V. administration, but permitting sustained imaging with I.P. administration. These results show that I.P. administration can be considered as an administration route in preclinical animal studies for improved longitudinal observation with more consistent contrast signal intensity.

Indexed as

Contrast imagingIntraperitonealIntravenousNIR-II dyePhotoacoustic Imaging

Identifiers

PMID36213764
PMCPMC9535324
OpenAlexW4297361063

What OpenQuestion holds

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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.