Evidence map›Paper›PMID 40124246›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Biomechanical assessment of vulnerable plaque: from histological evidence to ultrasound elastography and image-based computational patient-specific modelling.

Nicoletta Curcio, Michele Conti, Rosanna Cardani, Laura Valentina Renna, Giacomo Dell'Antonio, Vlasta Bari, Giovanni Nano, Giulia Matrone, Daniela Mazzaccaro

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Nicoletta Curcio3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Michele Conti3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Rosanna CardaniBiobank BioCor, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Laura Valentina RennaBiobank BioCor, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Giacomo Dell'AntonioUnit of Pathology, Cerba Healthcare Laboratories, Limena, Italy.
Vlasta BariDepartment of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Giovanni NanoDepartment of Biomedical Sciences for Health, University of Milan, Milan, Italy.
Giulia Matrone *Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Daniela Mazzaccaro *Operative Unit of Vascular Surgery, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of carotid plaque vulnerability is a relevant clinical information that can help prevent adverse cerebrovascular events. To this aim, in this work we study the ability of different non-invasive methods for assessing plaque vulnerability in patients undergoing carotid endarterectomy (CEA). Histological examinations of patients' plaque samples were conducted after CEA while ultrasound (US) and computed tomography angiography (CTA) acquisitions were performed preoperatively. US acquisition included point shear wave elastography (p-SWE) and a radio frequency echo-based wall tracking mode for the evaluation of arterial wall stiffness. CTA images were segmented, and the results were used for an

Indexed as

biomechanical assessmentcarotid plaque vulnerabilityelastographyfinite element analysisnon-invasive imagingpatient-specific plaque modelling

Identifiers

PMID40124246
PMCPMC11925902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.