Evidence map›Paper›PMID 29270643›Full record

ArticleEuropean radiology2018

Hemispherical photoacoustic imaging of myocardial infarction: in vivo detection and monitoring.

Jing Lv, Ya Peng, Shi Li, Zhide Guo, Qingliang Zhao, Xianzhong Zhang, Liming Nie

Abstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  20. Nanotechnology in interventional cardiology: A state-of-the-art review.International journal of cardiology. Heart & vasculature · 2022
    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

7 authors.

Jing LvState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China.
Ya PengState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China.
Shi LiState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China.
Zhide GuoState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China.
Qingliang ZhaoState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China.
Xianzhong ZhangState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China.
Liming NieState Key Laboratory of Molecular Vaccinology and Molecular Diagnosis & Center for Molecular Imaging and Translational Medicine, School of Public Health, Xiamen University, Xiang'an South Road, Xiang'an District, Xiamen, 361102, Fujian Province, People's Republic of China. nielm@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to demonstrate the capacity for noninvasive localisation and characterisation of myocardial infarction (MI) in vivo using a hemispherical photoacoustic imaging (PAI) system. MI remains a leading cause of morbidity and mortality worldwide. To enable optimal treatment of patients, timely and accurate diagnosis and longitudinal monitoring is critical.

methodsIschaemia was induced in Balb/c mice by ligation of the left anterior descending artery. The hemispherical PAI system, equipped with 128 ultrasonic transducers spirally distributed on the surface, along with parallel data acquisition, was applied for imaging of the mouse heart.

resultsOur study showed that hemispherical PAI can delineate thoracic vessels and the morphology of the entire heart. Longitudinal PAI images revealed gradual expansion of the infarcted area along with necrosis and fibrosis, which were quantitatively validated by triphenyltetrazolium chloride staining. After MI modelling, the photoacoustic (PA) signal intensity decreased by 399.1 ± 56.3 (p < 0.001), a ~2.5-fold reduction compared to that of healthy cardiac tissue. The calculated size of the enlarged heart, 10.4 ± 6.0 mm

conclusionsPAI enables MI diagnosis and injury localisation with its capabilities for both deep organ imaging and lesion region differentiation. KEY POINTS: • Photoacoustic imaging (PAI), combining optical absorption and ultrasonic resolution, can delineate cardiac anatomy. • PAI can diagnose myocardial infarction lesions with 10 mm imaging depth in vivo. • Quantified results are in excellent agreement with enzyme and histological examinations. • PAI can serve as a complementary modality to SPECT and ultrasound imaging. • This study will encourage further PAI development for clinical use.

Indexed as

AnimalsCoronary VesselsDisease Models, AnimalMaleMiceMice, Inbred BALB CMonitoring, PhysiologicMultimodal ImagingMyocardial InfarctionDiagnosisMyocardial infarctionOptical imagingSingle-photon emission computed tomographyUltrasonography

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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.