Objective: The purpose of this study is to consider the possibility of quantitative evaluation of coronary arterial stenosis by using 16-slice multidetector-row computed tomography (MDCT).

Methods: Simulated coronary arteries were prepared, which consist of 5-mm-diameter acryl tubes with contrast media (270 HU). Simulated stenoses of known density (-33 HU) were created in each coronary artery (25%, 50%, and 75%). Cardiac pulsating with 0, 50, 65, 85, and 105 beats per minute (bpm) was performed. Multiplanar reformation images for each coronary artery were created. Percent stenosis was calculated using the width middle value of boundary part of the arteries.

Results: The stenoses were depicted in all heart rates. Average percent stenosis +/- standard deviation was 27.4 +/- 3.6%, 45.8 +/- 2.6%, and 69.4 +/- 2.7%, respectively. For each percent stenosis, there was a significant difference (P < 0.05).

Conclusion: Sixteen-slice MDCT has a potential for noninvasive quantitative evaluation of stenosis in coronary arteries.

Download full-text PDF

Source
http://dx.doi.org/10.1097/01.rct.0000161421.88001.f2DOI Listing

Publication Analysis

Top Keywords

quantitative evaluation
12
percent stenosis
12
evaluation coronary
8
coronary arterial
8
arterial stenosis
8
stenosis 16-slice
8
16-slice multidetector-row
8
multidetector-row computed
8
computed tomography
8
coronary arteries
8

Similar Publications

Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced artificial intelligence-driven solutions.

Objective: This study aimed to develop and evaluate the performance of HoMemeTown Dr.

View Article and Find Full Text PDF

The feasibility of the adult age estimation 3D-CBCT method on ancient human remains.

J Forensic Odontostomatol

December 2024

Laboratory of Personal Identification and Forensic Morphology, Department of Health Sciences, University of Florence, Florence, Italy.

The age estimation of skeletal remains still represents a central issue not only for the reconstruction of the so-called "biological profile," but mostly for the palaeodemographic investigation. This research aims at verifying the feasibility of the adult age estimation method developed on living people by Pinchi et al. (2015 and 2018), for estimating the age at the death of 37 subjects from ancient populations found in two different Italian necropolis of archaeological interest (Mont'e Prama and Florence, X-IX century B.

View Article and Find Full Text PDF

Objectives: The study aims to evaluate the pulp-to-tooth area ratio in permanent maxillary central incisors, lateral incisors, and canines for age estimation using three-dimensional cone beam computed tomography images.

Methods: Hundred cone-beam computed tomography (CBCT) images of patients aged between 12-70 years were retrospectively studied using NNT Viewer software version 13. Pulpal and teeth area were evaluated with the "area tool" in the acquired images in all three planes, and the pulp-to-tooth area ratio (PTR) was calculated with the measurements obtained.

View Article and Find Full Text PDF

This study aimed to assess the validity and reliability of a questionnaire on patient acceptance of orthodontic retainers. The original questionnaire was forward- and backward-translated, followed by four validity tests (content validity, face validity, construct validity, criterion validity) and two reliability tests (test-retest reliability, internal consistency). Content validity was assessed by nine orthodontists who appraised the questionnaire's representativeness, relevance, clarity, and necessity.

View Article and Find Full Text PDF

Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!