Advanced MRI Imaging and Diagnostics in Lung Disease

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 705

Special Issue Editor


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Guest Editor
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
Interests: lung MRI; hyperpolarized 129Xe; lung microstructure

Special Issue Information

Dear Colleagues,

Historically, the MRI of lungs has been clinically challenging and under-utilized, especially when compared to other organ systems, due to inherent low MR signals and additional complications stemming from respiratory and cardiac motion. However, with the recent development of advanced acquisition and analysis techniques, MRI can now provide unique insights into the pathophysiology of numerous pulmonary diseases. When coupled with its non-ionizing radiation nature, advanced MRI techniques are particularly applicable in longitudinal studies of lung diseases and in pediatric subjects. Modern MRI techniques with both proton-based and inhaled gas (hyperpolarized 129Xe or fluorinated gases) lung MRI methods offer novel information on lung structure and function that is unavailable with other imaging modalities. These modern lung MRI techniques have driven the field forward and have allowed MRI to evolve from a research tool to a promising clinical tool for lung disease diagnosis and monitoring.

This Special Issue will feature original research articles and reviews that focus on advanced or novel applications of MRI imaging for diagnosing and monitoring lung diseases. Applications of lung MRI in studies on adult and pediatric subjects with proton-based or inhaled gas MRI methods are all welcome.

Dr. Ho-Fung Chan
Guest Editor

Manuscript Submission Information

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Keywords

  • lung MRI
  • lung disease
  • lung function
  • proton lung
  • inhaled gas MRI
  • novel techniques

Published Papers (1 paper)

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Research

14 pages, 10758 KiB  
Article
Thoracic Biometry in Patients with Congenital Diaphragmatic Hernia, a Magnetic Resonance Imaging Study
by Erick George Neștianu, Septimiu Popescu, Dragoș Ovidiu Alexandru, Laura Giurcăneanu and Radu Vlădăreanu
Diagnostics 2024, 14(6), 641; https://doi.org/10.3390/diagnostics14060641 - 18 Mar 2024
Viewed by 549
Abstract
This is a retrospective study investigating biometric measurements using magnetic resonance imaging (MRI) examinations in congenital diaphragmatic hernia (CDH). CDH is one of the more common causes of pulmonary hypoplasia, with grave consequences for the fetus. Inclusion criteria were patients diagnosed with CDH [...] Read more.
This is a retrospective study investigating biometric measurements using magnetic resonance imaging (MRI) examinations in congenital diaphragmatic hernia (CDH). CDH is one of the more common causes of pulmonary hypoplasia, with grave consequences for the fetus. Inclusion criteria were patients diagnosed with CDH as the only observed anomaly, who underwent MRI examination after the second-trimester morphology ultrasound. The patients came from three university hospitals in Bucharest, Romania. In total, 19 patients were included in the study after applying exclusion criteria. Comparing the observed values of the thoracic transverse diameter, the thoracic anterior–posterior diameter, the thoracic circumference, the thoracic area, and the thoracic volume with values from the literature, we observed a predictive alteration of these parameters, with most showing Gaussian distribution. We observed statistical significance for most of our correlations, except between the observed and expected thoracic anterior–posterior diameters and the observed and expected thoracic volume values. This is very helpful when complex studies that can calculate the pulmonary volume cannot be obtained, as in the case of movement artifacts, and allows the clinicians to better assess the severity of the disease. MRI follow-up in CDH cases is a necessity, as it offers the most accurate thoracic biometry. Full article
(This article belongs to the Special Issue Advanced MRI Imaging and Diagnostics in Lung Disease)
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