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Articles 1 - 9 of 9
Full-Text Articles in Medicine and Health Sciences
An Investigation Of The Detection Capability Of Pulsed Wave Duplex Doppler Of Low Grade Stenosis Using Ultrasound Contrast Agent Microbubbles – An In-Vitro Study, Jacinta Browne, Deirdre King, Andrew Fagan, Deepa Chari, Carmel Moran
An Investigation Of The Detection Capability Of Pulsed Wave Duplex Doppler Of Low Grade Stenosis Using Ultrasound Contrast Agent Microbubbles – An In-Vitro Study, Jacinta Browne, Deirdre King, Andrew Fagan, Deepa Chari, Carmel Moran
Articles
Objective: The objective of the study was to investigate whether clinically used ultrasonic contrast agents improved the accuracy of spectral Doppler ultrasound in the detection of low grade (< 50%) renal artery stenosis. Low grade stenoses in the renal artery are notoriously difficult to reliably detect using Doppler ultrasound due to difficulties such as overlying fat and bowel gas.
Methods: A range of anatomically-realistic renal artery phantoms with varying low degrees of stenosis (0, 30 and 50%) were constructed and peak velocity data was measured from within the pre-stenotic and mid-stenotic regions in each phantom, for both unenhanced and contrast-enhanced spectral Doppler data acquisitions. The effect of a 20mm overlying fat layer on the ultrasound beam distortion and phase aberration, and hence on the measured peak velocity data, was also …
A U-Net Deep Learning Framework For High Performance Vessel Segmentation In Paitents With Cerebrovascular Disease, Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Maria Akay, Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai
A U-Net Deep Learning Framework For High Performance Vessel Segmentation In Paitents With Cerebrovascular Disease, Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Maria Akay, Tabea Kossen, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai
Articles
Brain vessel status is a promising biomarker for better prevention and treatment in cerebrovascular disease. However, classic rule-based vessel segmentation algorithms need to be hand-crafted and are insufficiently validated. A specialized deep learning method—the U-net—is a promising alternative. Using labeled data from 66 patients with cerebrovascular disease, the U-net framework was optimized and evaluated with three metrics: Dice coefficient, 95% Hausdorff distance (95HD) and average Hausdorff distance (AVD). The model performance was compared with the traditional segmentation method of graph-cuts. Training and reconstruction was performed using 2D patches. A full and a reduced architecture with less parameters were trained. We …
Use Of Novel Anthropomorphic Breast Ultrasound Phantoms For Radiology Resident Education, Jacinta Browne, Chris Gu, Robert Fazzio, Andrew Fagan, Donald Tradup, Nicholas Hangiandreou
Use Of Novel Anthropomorphic Breast Ultrasound Phantoms For Radiology Resident Education, Jacinta Browne, Chris Gu, Robert Fazzio, Andrew Fagan, Donald Tradup, Nicholas Hangiandreou
Articles
Purpose: This study evaluated the training and assessment role of anthropomorphic breast ultrasound phantoms which simulated both the morphological and sonographic characteristics of breast tissue, including lesions, in a group of radiology residents at a large academic medical center. Methods: This was a prospective study involving 9 residents across all years (2nd–4th year) of a radiology residency program. Baseline assessments of all residents ability to detect and characterize lesions in P-I were carried out, followed by a two-hour teaching session on the same phantom. All residents underwent a post-training, final assessment on P-II to evaluate changes in …
Dna Damage And Cytokine Production In Non-Target Irradiated Lymphocytes, Jane Bryant, Laura Shields, Christopher Hynes, Orla L. Howe, Brendan Mcclean, Fiona Lyng
Dna Damage And Cytokine Production In Non-Target Irradiated Lymphocytes, Jane Bryant, Laura Shields, Christopher Hynes, Orla L. Howe, Brendan Mcclean, Fiona Lyng
Articles
In advanced radiotherapy, treatment of the tumor with high-intensity modulated fields is balanced with normal tissue sparing. However, the non-target dose delivered to surrounding healthy tissue within the irradiated volume is a potential cause for concern. Whether the effects observed are caused after exposure to out-of-field radiation or bystander effects through neighboring irradiated cells is not fully understood. The goal of this study was to determine the effect of exposure to out-of-field radiation in lymphocyte cell lines and primary blood cells. The role of cellular radiosensitivity in altering bystander responses in out-of-field exposed cells was also investigated. Target cells were …
Vibrational Characterization Of Granulosa Cells From Patients Affected By Unilaterial Ovarian Endometriosis: New Insights From Infrared And Raman Microspectroscopy, Valentina Notarstefano, Giorgia Gioacchini, Hugh Byrne, Carlotta Zaca, Eleni Sereni, Lisa Vaccari, Andrea Borini, Oliana Carnevali
Vibrational Characterization Of Granulosa Cells From Patients Affected By Unilaterial Ovarian Endometriosis: New Insights From Infrared And Raman Microspectroscopy, Valentina Notarstefano, Giorgia Gioacchini, Hugh Byrne, Carlotta Zaca, Eleni Sereni, Lisa Vaccari, Andrea Borini, Oliana Carnevali
Articles
Endometriosis is a chronic gynaecological disease characterised by the presence of endometrial cells in extra-uterine regions. One of the main factors impacting on the fertility of women affected by endometriosis is the poor oocyte quality. Granulosa Cells (GCs) regulate oocyte development and maintain the appropriate microenvironment for the acquisition of its competence; hence, the dysregulation of these functions in GCs can lead to severe cellular damages also in oocytes. In this study, luteinized GCs samples were separately collected from both ovaries of women affected by Unilateral Ovarian Endometriosis and analysed by infrared and Raman microspectroscopy. The spectral data were compared …
Heterogeneity Of Disease-Causing Variants In The Swedish Galactosemia Population: Identification Of 16 Novel Galt Variants, Annika Ohlsson, Mary Hunt, Anna Wedell, Ulrika Von Döbeln
Heterogeneity Of Disease-Causing Variants In The Swedish Galactosemia Population: Identification Of 16 Novel Galt Variants, Annika Ohlsson, Mary Hunt, Anna Wedell, Ulrika Von Döbeln
Articles
The aim was to determine disease-causing variants in the GALT gene which codes for the enzyme galactose-1-phosphate uridylyltransferase. Loss of activity of this enzyme causes classical galactosemia-a life threatening, treatable disorder, included in the Swedish newborn screening program since 1967. A total of 66 patients with the disease are known in Sweden and 56 index patients were investigated. An additional two patients with Duarte galactosemia were included. The disease-causing variants were identified in all patients. As reported from other countries only a few variants frequently recur in severe disease. The two variants p.(Gln188Arg) (c.563A>G) and p.(Met142Lys) (c.425T>A) are …
Myopia Outcome Study Of Atropine In Children (Mosaic): Design And Methodology, Saoirse Mccrann, Daniel Ian Flitcroft, John Butler, James Loughman
Myopia Outcome Study Of Atropine In Children (Mosaic): Design And Methodology, Saoirse Mccrann, Daniel Ian Flitcroft, John Butler, James Loughman
Articles
Purpose
The Myopia Outcome Study of Atropine in Children (MOSAIC) aims to explore the efficacy, safety, acceptability and mechanisms of action of 0.01% atropine for myopia control in a European population.
Methods
MOSAIC is an investigator-led, double-masked, placebo-controlled, randomised clinical trial investigating the efficacy, safety and mechanisms of action of 0.01% atropine eyedrops in myopic progression management. During phase 1 of the trial, 250 children aged 6-16 years with progressive myopia apply eye drops once nightly in both eyes from randomisation to month 24. No treatment is given during phase 2 from month 24 to 36 (washout period) for those …
Current Source Density Approaches Improve Spatial Resolution In Event Related Potential Analysis In People With Parkinson's Disease, Conor Fearon, John Butler, Saskia M. Waechter, Isabelle Killane, Richard B. Reilly, Timothy Lynch
Current Source Density Approaches Improve Spatial Resolution In Event Related Potential Analysis In People With Parkinson's Disease, Conor Fearon, John Butler, Saskia M. Waechter, Isabelle Killane, Richard B. Reilly, Timothy Lynch
Articles
No abstract provided.
Nanostructured Materials For Food Applications: Spectroscopy, Microscopy And Physical Properties, Shubham Sharma, Swana Jaiswal, Brendan Duffy, Amit Jaiswal
Nanostructured Materials For Food Applications: Spectroscopy, Microscopy And Physical Properties, Shubham Sharma, Swana Jaiswal, Brendan Duffy, Amit Jaiswal
Articles
Nanotechnology deals with the matter of atomic or molecular scale. Other factors that define the character of a nanoparticle are its physical and chemical properties, such as surface area, surface charge, hydrophobicity of the surface, the thermal stability of the nanoparticle, and its antimicrobial activity. A nanoparticle is usually characterized by using microscopic and spectroscopic techniques. Microscopic techniques are used to characterize the size, shape, and location of the nanoparticle by producing an image of the individual nanoparticle. Several techniques, such as scanning electron microscopy (SEM), transmission electron microscopy/high resolution transmission electron microscopy (TEM/HRTEM), atomic force microscopy (AFM) and scanning …