Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Objective: This study investigated the feasibility and prognostic relevance of threshold-based quantification of myocardial delayed enhancement (MDE) on CT in patients with nonischemic dilated cardiomyopathy (NIDCM).

Materials And Methods: Forty-three patients with NIDCM (59.3 ± 17.1 years; 21 male) were included in the study and underwent cardiac CT and MRI. MDE was quantified manually and with a threshold-based quantification method using cutoffs of 2, 3, and 4 standard deviations (SDs) on three sets of CT images (100 kVp, 120 kVp, and 70 keV). Interobserver agreement in MDE quantification was assessed using the intraclass correlation coefficient (ICC). Agreement between CT and MRI was evaluated using the Bland-Altman method and the concordance correlation coefficient (CCC). Patients were followed up for the subsequent occurrence of the primary composite outcome, including cardiac death, heart transplantation, heart failure hospitalization, or appropriate use of an implantable cardioverter-defibrillator. The Kaplan-Meier method was used to estimate event-free survival according to MDE levels.

Results: Late gadolinium enhancement (LGE) was observed in 29 patients (67%, 29/43), and the mean LGE found with the 5-SD threshold was 4.1% ± 3.6%. The 4-SD threshold on 70-keV CT showed excellent interobserver agreement (ICC = 0.810) and the highest concordance with MRI (CCC = 0.803). This method also yielded the smallest bias with the narrowest range of 95% limits of agreement compared to MRI (bias, -0.119%; 95% limits of agreement, -4.216% to 3.978%). During a median follow-up of 1625 days (interquartile range, 712-1430 days), 10 patients (23%, 10/43) experienced the primary composite outcome. Event-free survival significantly differed between risk subgroups divided by the optimal MDE cutoff of 4.3% (log-rank = 0.005).

Conclusion: The 4-SD threshold on 70-keV monochromatic CT yielded results comparable to those of MRI for quantifying MDE as a marker of myocardial fibrosis, which showed prognostic value in patients with NIDCM.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11136943PMC
http://dx.doi.org/10.3348/kjr.2023.1271DOI Listing

Publication Analysis

Top Keywords

threshold-based quantification
12
quantification myocardial
8
myocardial fibrosis
8
nonischemic dilated
8
dilated cardiomyopathy
8
patients nidcm
8
interobserver agreement
8
correlation coefficient
8
primary composite
8
composite outcome
8

Similar Publications

Accurate quantification of genetically modified organisms (GMOs) is essential for regulatory compliance, especially under threshold-based labeling policies. In this study, we developed and validated twelve event-specific duplex chamber- or chip-based digital PCR (cdPCR) methods using microfluidic array plates to quantify GM maize events approved in South Korea. In contrast to conventional real-time PCR, the cdPCR approach allows for absolute quantification without standard curve calibration and incorporates event-specific zygosity ratio correction to improve accuracy of the measurement.

View Article and Find Full Text PDF

A Deep Learning Approach to Measure Visual Function in Zebrafish.

Biology (Basel)

June 2025

The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, P.O. Box 65, Leicester LE2 7LX, UK.

Visual behaviour in zebrafish, often measured by the optokinetic reflex (OKR), serves as a valuable model for studying aspects of human neurological and ocular diseases and for conducting therapeutic or toxicology assays. Traditional methods for OKR analysis often rely on binarization techniques (threshold-based conversion of images to black and white) or costly software, which limits their utility in low-contrast settings or hypopigmented disease models. Here, we present a novel deep learning pipeline for OKR analysis, using ResNet-50 within the DeepLabCut framework in a Python Version 3.

View Article and Find Full Text PDF

Background: Validation of threshold-based PET segmentation and PET quantification is typically performed with fillable phantoms. Theoretical considerations show that the inactive walls of the phantom cavities introduce a contrast dependence of the volume-reproducing threshold (VRT), potentially leading to segmentation errors and therefore miscalculations of target volumes. The goal of this study was to experimentally show the contrast independence of the VRT when using wall-less phantoms.

View Article and Find Full Text PDF

Introduction: High-resolution computed tomography (HRCT) is essential for evaluating interstitial lung disease (ILD). The effect of slice thickness on threshold-based quantification of individual ILD components remains underexplored. This study investigates the effect of slice thickness on ILD quantification using Lung CT Analyzer.

View Article and Find Full Text PDF

Introduction: We examined sex effects on amyloid positron emission tomography (PET) in a large cohort of patients evaluated for cognitive complaints in a "real-world" specialty setting.

Methods: We analyzed 10,361 amyloid PET scans (51% females) from the Imaging Dementia-Evidence for Amyloid Scanning Study. Amyloid positivity was defined by either local visual read or central PET processing and quantification (≥ 24.

View Article and Find Full Text PDF