The predictive accuracy of iNPH diagnoses could be increased using a combination of supplemental tests for iNPH. To evaluate the dynamic state of water displacement during the cardiac cycle in idiopathic normal pressure hydrocephalus (iNPH), we determined the change in water displacement using q-space analysis of diffusion magnetic resonance image. ECG-triggered single-shot diffusion echo planar imaging was used. Water displacement was obtained from the displacement probability profile calculated by Fourier transform of the signal decay fitted as a function of the reciprocal spatial vector q. Then maximum minus minimum displacement (delta-displacement), of all cardiac phase images was calculated. We assessed the delta-displacement in white matter in patients with iNPH and atrophic ventricular dilation (atrophic VD), and in healthy volunteers (control group). Delta-displacement in iNPH was significantly higher than those in the atrophic VD and control. This shows that water molecules of the white matter in iNPH are easily fluctuated by volume loading of the cranium during the cardiac cycle, due to the decrease in intracranial compliance. There was no significant correlation between delta-displacement and displacement. The delta-displacement and the displacement do not necessarily yield the same kind of information. Delta-displacement demonstrated to obtain biophysical information about fluctuation. This analysis may be helpful in the understanding physiology and pathological condition in iNPH and the assisting in the diagnosis.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.compmedimag.2014.12.004DOI Listing

Publication Analysis

Top Keywords

cardiac cycle
12
water displacement
12
dynamic state
8
state water
8
displacement
8
cycle idiopathic
8
idiopathic normal
8
normal pressure
8
pressure hydrocephalus
8
displacement delta-displacement
8

Similar Publications

Automatic 4D mitral valve segmentation from transesophageal echocardiography: a semi-supervised learning approach.

Med Biol Eng Comput

January 2025

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Performing automatic and standardized 4D TEE segmentation and mitral valve analysis is challenging due to the limitations of echocardiography and the scarcity of manually annotated 4D images. This work proposes a semi-supervised training strategy using pseudo labelling for MV segmentation in 4D TEE; it employs a Teacher-Student framework to ensure reliable pseudo-label generation. 120 4D TEE recordings from 60 candidates for MV repair are used.

View Article and Find Full Text PDF

Subclavian Ansae Stimulation on Cardiac Hemodynamics and Electrophysiology in Atrial Fibrillation: A Target for Sympathetic Neuromodulation.

JACC Clin Electrophysiol

December 2024

St Bartholomew's Hospital, Barts Health NHS Trust, London, United Kingdom; William Harvey Research Institute, Queen Mary University of London, London, United Kingdom. Electronic address:

Background: The sympathetic autonomic nervous system plays a major role in arrhythmia development and maintenance. Historical preclinical studies describe preferential increases in cardiac sympathetic tone upon selective stimulation of the subclavian ansae (SA), a nerve cord encircling the subclavian artery.

Objectives: This study sought to define, for the first time, the functional anatomy and physiology of the SA in humans using a percutaneous approach.

View Article and Find Full Text PDF

: Male infertility is influenced by physiological factors like age, as well as lifestyle factors, including physical activity. However, the specific impact of sport activity on semen parameters, and thus on male fertility, remains unclear. Specifically, the aim of this systematic review is to evaluate how an intense regime of training may affect sperm parameters in professional and non-profession athletes.

View Article and Find Full Text PDF

Even if rarely detected, right atrial (RA) masses represent a diagnostic challenge due to their heterogeneous presentation. Para-physiological RA structures, such as a prominent Eustachian valve, Chiari's network, and lipomatous atrial hypertrophy, may easily be misinterpreted as pathological RA masses, including thrombi, myxomas, and vegetations. Each pathological mass should always be correlated with adequate clinical, anamnestic, and laboratory data.

View Article and Find Full Text PDF

Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise.

Diagnostics (Basel)

December 2024

Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, USA.

: This study aimed to explore machine learning approaches for predicting physical exertion using physiological signals collected from wearable devices. : Both traditional machine learning and deep learning methods for classification and regression were assessed. The research involved 27 healthy participants engaged in controlled cycling exercises.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!