Evidence map›Paper›PMID 42344845›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Quantifying carotid plaque component regional strain using ultrasound elastography and its association with blood pressure in patients: a pilot study.

Jian Cai, Feihong Yu, Shumei Miao, Yang Xu, Huangwen Yang, Heming Chen, Rui Lv, Qingyu Wang

Abstract read
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Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jian CaiSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Feihong YuThe First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Shumei MiaoThe First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
Yang XuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Huangwen YangSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Heming ChenSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Rui LvDepartment of Cardiovascular Surgery, Shandong Second Provincial General Hospital, Shandong University, Jinan, China.
Qingyu WangSchool of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular and cerebrovascular diseases are leading causes of mortality worldwide, with carotid plaque rupture being a critical pathogenic mechanism. While ultrasound elastography can assess the mechanical properties of plaque, the dynamic strain of specific plaque component regions and its correlation with blood pressure are not well characterized. This pilot study retrospectively analyzed carotid ultrasound elastography images from 11 patients. Image preprocessing involved wavelet Bayesian denoising and enhanced correlation coefficient registration to minimize motion artifacts. Dense optical flow was computed using the Farneback algorithm, and regional strain was derived through spatial gradient extraction and least-squares fitting. Our analysis revealed substantial heterogeneity in strain among plaque component regions. The mean inter-frame strain ranged from 0.0007 to 0.0045, the maximum inter-frame strain from 0.0025 to 0.0454, and the maximum cumulative strain over the cardiac cycle from 0.0078 to 0.1948. Diastolic blood pressure showed positive correlations with the mean inter-frame strain, the maximum cumulative strain and the maximum inter-frame strain of plaque component regions (r = 0.5121, 0.4606, 0.3977), the pulse pressure demonstrated moderate negative correlations with all three strain indices (r = -0.5043, -0.4757, -0.4650), showing statistical significance even with a small sample size. These exploratory findings suggest that blood pressure may influence the mechanical environment of plaque component regions. This pilot study validates the feasibility of dynamic strain quantification for plaque component regions using ultrasound elastography. The identified association with blood pressure provides new directions for investigating mechanical factors in plaque progression and developing non-invasive risk prediction models.

Indexed as

carotid arteryoptical flow methodplaque componentstrain calculationultrasound elastography

Identifiers

PMID42344845
PMCPMC13286883

What Socratic holds

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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 Socratic graph.