Evidence map›Paper›PMID 42861133›Full record

ArticleQuantitative imaging in medicine and surgery2026

The initial application of RawVision

Siqi Cao, Juan Cheng, Xinliang Xu, Li Wei, Jun Jiang, Ying Wang, Yi Dong, Jacques Souquet

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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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2 · The registry

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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.

Siqi CaoDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Juan ChengDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinliang XuDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li WeiDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun JiangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ying WangDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi DongDepartment of Ultrasound, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jacques SouquetMember of the French Academy of Technologies, Aix-en-Provence, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-invasive assessment for carotid plaque vulnerability is important for risk evaluation of strokes. The RawVision Methods: In this prospective study, hospitalized patients diagnosed with carotid atherosclerotic plaques were recruited and divided into symptomatic and asymptomatic groups. The B-mode ultrasound and RVP technique color-coded imaging was performed to evaluated the thickest plaque of carotid arteries in all patients. Various quantitative parameters were created by RVP quantitative analysis, including contrast (CNT), homogeneity (ENT), non-correlation (NRT), capacity (CPT) and the maximum value of absolute strain rate (MASR)-were measured as both mean values (from three regions of interest) and global values (from the overall plaque). All ultrasound features were compared between two groups. The Inter-observer and intra-observer reliability were assessed using the intraclass correlation coefficient (ICC). Results: The 123 patients were divided into the asymptomatic group (48/123, 39.0%) and symptomatic group (75/123, 61.0%). Heterogeneous coloring of RVP color-coded imaging in the target plaque could be observed in the symptomatic group. Among all quantitative parameters, the CNT (mean) value of symptomatic carotid plaques was significantly higher than that of asymptomatic carotid plaques(65.424 Conclusions: As a novel non-invasive imaging method, the RVP quantitative technique showed potential value in assessing the vulnerability of carotid plaques.

Indexed as

Carotid plaquesRawvisionTM plaque (RVP)symptomaticultrasoundvulnerability

Identifiers

PMID42861133
PMCPMC13654172

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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.