The purposes of this study were to determine for signal-averaged electrocardiograms in normal subjects: (1) the incidence of false positives for various filter frequencies and late potential criteria and (2) reproducibility over time. In 46 normal volunteers, the QRS vector magnitude was bidirectionally high-pass filtered at 25, 40, and 100 Hz. As high-pass filter frequency increased, QRS duration decreased from 98 +/- 9 to 92 +/- 9 msec (p less than 0.0001), terminal QRS root mean square voltage decreased from 60 +/- 41 to 14 +/- 9 microV (p less than 0.0001), and terminal QRS low amplitude signal duration increased from 27 +/- 7 to 41 +/- 14 msec (p less than 0.0001). For individual parameters, the incidence of false positive tests ranged from 2% to 41%, whereas there were no false positive tests for the combination of abnormal QRS duration plus either root mean square voltage or low amplitude signal duration. Measurements were repeated after 6.4 +/- 0.3 months in 26 subjects and were highly reproducible at all filter settings. The potentially high incidence of false positive tests with some criteria has important implications for the use of signal-averaged electrocardiography as a screening test in patient populations with various arrhythmia risks.
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http://dx.doi.org/10.1016/0002-8703(92)90654-e | DOI Listing |
Comput Biol Med
December 2024
Khalifa University, Abu Dhabi, United Arab Emirates.
Background And Objective: Accurate extraction of retinal vascular components is vital in diagnosing and treating retinal diseases. Achieving precise segmentation of retinal blood vessels is challenging due to their complex structure and overlapping vessels with other anatomical features. Existing deep neural networks often suffer from false positives at vessel branches or missing fragile vessel patterns.
View Article and Find Full Text PDFSemin Arthritis Rheum
December 2024
Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical University, Kunming, China. Electronic address:
Objective: The study aimed to investigate the damage of white matter (WM) microstructure and structural network in patients with systemic lupus erythematosus (SLE) using diffusion tensor imaging.
Methods: Tract-based spatial statistics (TBSS) were used to compare the difference in WM fractional anisotropy (FA) between SLE and HCs groups. The differences in WM networks between groups are compared using graph theory.
Biotechniques
December 2024
Laboratorio de Parasitología Molecular, Vicerrectoría de Investigaciones, Universidad El Bosque, Bogotá, Colombia.
In 2006, a PCR method was introduced to subtype by Sanger sequencing of an ≈610 bp amplicon of the 18S rRNA gene. This method, known as barcoding-PCR, has become widespread, although the primer pair used can amplify non- sequences, which can result in false positives. Barcoding-PCR is most effective with DNA extracted from cultures, limiting its sensitivity when used directly with stool samples.
View Article and Find Full Text PDFPituitary
December 2024
Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Adrenocorticotropin (ACTH)-dependent Cushing's syndrome can arise from a pituitary tumour (Cushing's disease) or an ectopic ACTH-secreting tumour, making precise differentiation essential for effective treatment. Bilateral inferior petrosal sinus sampling (BIPSS) is the gold standard for this differentiation, but false-negative results can limit its accuracy. Adding prolactin (PRL) measurement to BIPSS has been proposed to improve diagnostic precision.
View Article and Find Full Text PDFSci Rep
December 2024
GIN, IMN-UMR5293, CEA, CNRS, Université de Bordeaux, Bordeaux, France.
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), a prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL).
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