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Imaging Study of Anatomical Variations of the Superficial Temporal Artery (EVATSI)

Imaging Study of Anatomical Variations of the Superficial Temporal Artery

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06155864
Acronym
EVATSI
Enrollment
700
Registered
2023-12-05
Start date
2023-10-01
Completion date
2025-10-01
Last updated
2023-12-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Superficial Temporal Artery

Brief summary

This study focuses on the anatomy of the superficial temporal artery, an artery of the head. Knowledge of the anatomy of this artery, and the evaluation of methods for exploring it, have implications for clinical medical and surgical practice.

Detailed description

The study will be divided into several parts: * The aim is to study the reproducibility of anatomical measurements of the superficial temporal artery using CTA. * The aim is to study the contribution of CTA for the anatomical assessment of the superficial temporal artery. * The aim is to evaluate the performance of MRI in the anatomical study of the superficial temporal artery.

Interventions

None listed

Sponsors

University Hospital, Brest
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

Inclusion criteria

* No opposition expressed * Examination analyzable

Exclusion criteria

* Refusal to participate

Design outcomes

Primary

MeasureTime frameDescription
Intra- and inter-observer reproducibility of anatomical criteria of the superficial temporal artery in CTA.12 monthsThe aim is to study the reproducibility of anatomical measurements of the superficial temporal artery. To this end, an intra-class agreement (ICA) analysis will be performed to assess the inter-observer and intra-observer reliability of the measurements. We will also calculate the standard error of measurement (SEM) to assess measurement variability, and perform a Bland-Altman analysis to visualize differences between measurements.
Evaluation of anatomical measurements and reproducibility of measurements obtained with an iterative and classical reconstruction CT technique.12 monthsThe aim is to compare the performance of the two reconstruction techniques (conventional and iterative) for anatomical assessment of the superficial temporal artery. A repeated-measures analysis of variance can be performed to compare the measurements obtained with the two reconstruction techniques.ICCs and TEMs will also be calculated to assess the reproducibility of measurements with each technique.
Study the anatomy of the superficial temporal artery in a large number of patients, and to correlate the anatomical variants observed with the age of the subjects.12 monthsThe aim is to study the anatomy of the superficial temporal artery in a large number of patients, and to correlate the anatomical variants observed with the age of the subjects. Descriptive data analysis will be carried out to describe the characteristics of the study population (age, sex, etc.) and the anatomical measurements of the superficial temporal artery.We will use linear regression analysis to assess this relationship and determine the importance of each explanatory variable. We will also assess goodness of fit using measures such as the coefficient of determination R2.
The aim is to compare the performance of arterial time-of-flight (TOF) sequences in MRI at 1.5T and 3T with angio-CT. A comparative analysis of the anatomical measurements obtained with each technique will be carried out.12 monthsThe aim is to compare the performance of arterial time-of-flight (TOF) sequences in MRI at 1.5T and 3T with angio-CT. A comparative analysis of the anatomical measurements obtained with each technique will be carried out, using t-tests or non-parametric tests depending on the distribution of the data. Concordance between measurements obtained with each technique will be assessed using ICC and Pearson's correlation coefficient.We will seek to identify homogeneous groups of subjects based on their characteristics. We will use cluster analysis to determine the distance between subjects and group them into homogeneous clusters.

Countries

France

Contacts

Primary ContactBrieg DISSAUX
brieg.dissaux@chu-brest.fr0298348034

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026