Evidence map›Paper›PMID 41064126›Full record

ArticleJournal of biomedical optics2025

Handheld multispectral photoacoustic imaging for assessing myocardial metabolism.

Bokang Zhai, Yawen Shi, Handi Deng, Hongli Liu, Chenliang Xie, Naiyue Zhang, Wenyuan Yu, Dingce Sun, Yang Yu, Cheng Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Bokang ZhaiBeijing Anzhen Hospital, Capital Medical University, Department of Cardiac Surgery, Beijing, China.ORCID https://orcid.org/0009-0003-8832-6696
Yawen ShiTsinghua University, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Beijing, China.
Handi DengTsinghua University, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Beijing, China.
Hongli LiuBeijing Anzhen Hospital, Capital Medical University, Department of Cardiac Surgery, Beijing, China.
Chenliang XieTsinghua University, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Beijing, China.
Naiyue ZhangTsinghua University, Institute for Precision Healthcare, Beijing, China.
Wenyuan YuBeijing Anzhen Hospital, Capital Medical University, Department of Cardiac Surgery, Beijing, China.
Dingce SunBeijing Anzhen Hospital, Capital Medical University, Department of Cardiac Surgery, Beijing, China.
Yang YuBeijing Anzhen Hospital, Capital Medical University, Department of Cardiac Surgery, Beijing, China.
Cheng MaTsinghua University, Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Beijing, China.ORCID https://orcid.org/0000-0001-7366-0091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Myocardial oxygen metabolism is a key focus of cardiac surgery. It serves as important evidence for surgeons to evaluate surgical quality and surgical plans. However, current clinical methods lack the capability to directly monitor dynamic changes in myocardial metabolism during surgery. Photoacoustic imaging (PAI), a biomedical optical imaging modality, offers real-time assessment of blood oxygen saturation. By visualizing oxygen saturation levels in both blood and muscle tissue, PAI provides a means to infer myocardial metabolic status intraoperatively. Aim: We use PAI to observe the differences between infarcted myocardium and normal cardiac muscle and to explore the feasibility of using PAI to monitor myocardial metabolism levels during cardiac surgery. Approach: Ten rabbits were randomly divided into experimental and control groups. The animals in the experimental group underwent thoracotomy followed by left anterior descending coronary artery ligation, whereas those in the control group received thoracotomy only. PAI was performed both at the beginning and before the end of the surgical procedure. The PAI results were compared between the two groups to analyze the relationship between myocardial PAI signal changes and oxygen metabolism levels. Results: Following coronary ligation, the experimental group exhibited significant ST-segment elevation on electrocardiography, whereas no notable changes were observed in controls. PAI demonstrated: baseline myocardial oxygen saturation ( Conclusions: PAI can detect myocardial oxygen saturation in real-time during surgery and determine the occurrence of myocardial ischemia and changes in oxygen metabolism levels based on differences in oxygen saturation.

Indexed as

HeartMyocardiumPhotoacoustic TechniquesAnimalsMaleMyocardial InfarctionOxygenRabbitsOxygencardiac surgeryischemic heart diseasemyocardial metabolismphotoacoustic imaging

Identifiers

PMID41064126
PMCPMC12502845

What OpenQuestion holds

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Registered trials

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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.