Publications by authors named "Thomas Postiglione"

Objective: This study aims to evaluate a fully automatic deep learning-based method (augmented radiology for vascular aneurysm [ARVA]) for aortic segmentation and simultaneous diameter and volume measurements.

Methods: A clinical validation dataset was constructed from preoperative and postoperative aortic computed tomography angiography (CTA) scans for assessing these functions. The dataset totaled 350 computed tomography angiography scans from 216 patients treated at two different hospitals.

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Virtual reality (VR) has both a non-pharmacological analgesic and anxiolytic action that can be used as an alternative to general anesthesia for very high-risk patients. We present here the case of a patient treated for a complex endovascular thoracoabdominal aortic aneurysm exclusion using a 4-fenestrated aortic endograft using VR. The patient had no postoperative complications and was safely discharged from the hospital on postoperative day 6.

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We investigate dilation-induced surface deformations in a discontinuous shear thickening (DST) suspension to determine the relationship between dilation and stresses in DST. Video is taken at two observation points on the surface of the suspension in a rheometer while shear and normal stresses are measured. A roughened surface of the suspension is observed as particles poke through the liquid-air interface, an indication of dilation in a suspension.

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In vitro fibril formation typically exhibits a lag phase followed by a rapid elongation phase. Soluble prefibrilar oligomers form as multiple assembly states occur during the lag phase and, after forming a nucleus, rapidly propagate into amyloid aggregates and fibrils. The structure and morphology of amyloid fibrils have been extensively characterized over the last decades, while little is known about the structural organization of the prefibrilar oligomers or their multiple assembly states.

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Surface- and tip-enhanced Raman spectroscopy (SERS and TERS) are modern spectroscopic techniques, which are becoming widely used and show a great potential for the structural characterisation of biological systems. Strong enhancement of the Raman signal through localised surface plasmon resonance enables chemical detection at the single-molecule scale. Enhanced Raman spectra collected from biological specimens, such as peptides, proteins or microorganisms, were often observed to lack the amide I band, which is commonly used as a marker for the interpretation of the secondary protein structure.

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