Evidence map›Paper›PMID 42389642›Full record

ArticleFrontiers in cardiovascular medicine2026

Phase-specific turbulence index derived from vector flow imaging for identifying intraplaque neovascularization in carotid plaques.

Qian Wang, Kefangyuan Zheng, Donghua Xian, Liuping Cui, Jiarui Bao, Yalan Fang

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Article in Frontiers in cardiovascular medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qian Wang *Department of Neurology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Kefangyuan Zheng *Second Clinical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Donghua XianSecond Clinical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Liuping CuiDepartment of Neurology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Jiarui BaoSecond Clinical College, Shanxi Medical University, Taiyuan, Shanxi, China.
Yalan FangDepartment of Neurology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the association between phase-specific turbulence index (Tur) derived from vector flow imaging (VFI) and intraplaque neovascularization (IPN) in carotid atherosclerotic plaques, and to evaluate its potential value as a noninvasive hemodynamic biomarker for IPN assessment. Methods: In this prospective study, 108 carotid plaques were analyzed. Tur was measured using VFI at peak systole and end-diastole at three locations relative to the plaque: upstream, the thickest region, and downstream. Intraplaque neovascularization was assessed by superb microvascular imaging (SMI) and classified as negative or positive. Least absolute shrinkage and selection operator (LASSO) regression was used for exploratory predictor selection, and an exploratory predictive model was internally validated using receiver operating characteristic analysis, calibration curves, and bootstrap resampling. Results: Among the 108 plaques, 82 (75.9%) were IPN-positive and 26 (24.1%) were IPN-negative. The downstream Tur during end-diastole was significantly lower in IPN-positive plaques compared with IPN-negative plaques ( Conclusion: Reduced downstream end-diastolic Tur was associated with IPN in carotid plaques. Phase-specific Tur derived from VFI may provide a potential noninvasive hemodynamic marker for IPN assessment.

Indexed as

atherosclerosishemodynamicsintraplaque neovascularizationturbulence indexvector flow imaging

Identifiers

PMID42389642
PMCPMC13318759

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