Publications by authors named "R Quint"
Article Synopsis
- The study aimed to assess how well radiology residents can detect pulmonary emboli (PE) on CT scans, both with and without the support of a deep-learning AI algorithm.
- Residents analyzed CT scans first without AI assistance and then again two months later with the AI’s help, comparing their results to those of expert radiologists.
- Results indicated that using AI significantly boosted the residents' diagnostic accuracy and agreement with each other, highlighting the potential benefits of AI in medical training and diagnosis.
Purpose: The purpose of this study was to investigate the relationship between inter-reader variability in manual prostate contour segmentation on magnetic resonance imaging (MRI) examinations and determine the optimal number of readers required to establish a reliable reference standard.
Materials And Methods: Seven radiologists with various experiences independently performed manual segmentation of the prostate contour (whole-gland [WG] and transition zone [TZ]) on 40 prostate MRI examinations obtained in 40 patients. Inter-reader variability in prostate contour delineations was estimated using standard metrics (Dice similarity coefficient [DSC], Hausdorff distance and volume-based metrics).
Iterative Denoising Accelerated 3D FLAIR Sequence for Hydrops MR Imaging at 3T.
AJNR Am J Neuroradiol
September 2023
Background And Purpose: 3D FLAIR sequences have become the criterion standard for identifying endolymphatic hydrops, but scan time remains an important limitation to their widespread use. Our purpose was to evaluate the diagnostic performance and image quality of an accelerated 3D FLAIR sequence combined with an iterative denoising algorithm.
Materials And Methods: This was a retrospective study performed on 30 patients with clinical suspicion of endolymphatic hydrops who underwent 3T MR imaging 4 hours after gadolinium injection using two 3D FLAIR sequences.
PUFA Changes in White Adipose Tissue during Hibernation in Common Hamsters.
Physiol Biochem Zool
October 2022
AbstractHibernators save energy during winter by expressing torpor bouts characterized by strongly reduced body temperature and metabolic rate. Polyunsaturated fatty acids (PUFAs), specifically n-6 PUFAs, are known to positively affect hibernation performance and thereby energy savings predominantly in fat-storing hibernators. Accordingly, hibernators usually retain PUFAs and mobilize monounsaturated fatty acids (MUFAs) or saturated fatty acids (SFAs) during hibernation.
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