Magnetic Resonance in Various Diseases and Biomedical Applications

A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Infectious Disease".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 805

Special Issue Editors


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Guest Editor
Radiology I Unit, University Hospital Policlinico “G. Rodolico-San Marco”, Via Santa Sofia 78, 95123 Catania, Italy
Interests: emergency radiology; interventional radiology; magnetic resonance imaging; computed tomography

E-Mail Website
Guest Editor
Radiology I Unit, University Hospital Policlinico “G. Rodolico-San Marco”, Via Santa Sofia 78, 95123 Catania, Italy
Interests: interventional radiology; emergency radiology; computed tomography; musculoskeletal radiology; interventional oncology
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Special Issue Information

Dear Colleagues,

Magnetic resonance imaging (MRI) is a powerful and versatile imaging modality that has revolutionized the field of medicine. Its non-invasive nature, excellent soft-tissue contrast, and ability to provide functional and tissue information render it an indispensable tool for diagnosing and monitoring various diseases. From neurological disorders to cardiovascular diseases and from musculoskeletal conditions to cancer, MRI has enabled clinicians to visualize and assess pathological processes with unprecedented precision. Advancements in MRI technology, such as high-field MRI, diffusion-weighted imaging (DWI), functional MRI (fMRI), and magnetic resonance spectroscopy (MRS), have further expanded its capabilities, opening up new avenues for research and clinical applications.

This Special Issue aims to showcase the latest research and developments in the field of MRI, highlighting its diverse applications in various diseases and biomedical fields. We invite original research articles, reviews, and perspectives that explore the potential of MRI in improving the diagnosis, prognosis, treatment planning, and monitoring of diseases. Additionally, we welcome studies that investigate the use of MRI in preclinical research and translational medicine. By bringing together experts and researchers from different disciplines, we hope to foster collaboration and innovation in the field of MRI, ultimately leading to improved patient care and outcomes.

Dr. Francesco Tiralongo
Prof. Dr. Antonio Basile
Guest Editors

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Keywords

  • magnetic resonance imaging
  • MRI
  • magnetic resonance imaging biomarkers
  • neuroimaging
  • cancer imaging
  • abdominal imaging
  • pelvic imaging
  • musculoskeletal imaging
  • cardiac imaging
  • medical imaging
  • diffusion imaging
  • tensor imaging
  • functional imaging
  • magnetic resonance angiography

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Published Papers (1 paper)

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Research

15 pages, 8625 KiB  
Article
Morphometric Measurement of Mean Cortical Curvature: Analysis of Alterations in Cognitive Impairment
by Renāte Rūta Apse, Nauris Zdanovskis, Kristīne Šneidere, Guntis Karelis, Ardis Platkājis and Ainārs Stepens
Medicina 2025, 61(3), 531; https://doi.org/10.3390/medicina61030531 - 18 Mar 2025
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Abstract
Background and Objectives: Cognitive impairment, including mild cognitive impairment (MCI) and Alzheimer’s disease (AD), is a growing public health concern. Early detection and an understanding of structural changes are crucial for accurate diagnosis and timely intervention. Cortical curvature, a morphometric measure derived [...] Read more.
Background and Objectives: Cognitive impairment, including mild cognitive impairment (MCI) and Alzheimer’s disease (AD), is a growing public health concern. Early detection and an understanding of structural changes are crucial for accurate diagnosis and timely intervention. Cortical curvature, a morphometric measure derived from structural magnetic resonance imaging (MRI), has emerged as a potential biomarker for neurodegenerative processes. This study investigates the relationship between mean cortical curvature and cognitive impairment. Materials and Methods: A cross-sectional study was conducted with 58 participants, categorized into, first, cognitively impaired (CI) and non-cognitively impaired (NC) groups and, second, a normal cognitive group (NC), a mild cognitive performance group (MPG), and a low cognitive performance group (LPG) based on the Montreal Cognitive Assessment (MoCA) score. MRI data were acquired using a 3.0 Tesla scanner, and cortical reconstruction was performed using FreeSurfer 7.2.0. Mean cortical curvature values were extracted for 34 brain regions per hemisphere. Results: Significant differences in mean cortical curvature were found between the CI and NC groups. In the right hemisphere, statistically significant changes in mean curvature were observed in the isthmus cingulate (U = 188.5, p = 0.006), lingual (U = 202.5, p = 0.013), pars orbitalis (U = 221.5, p = 0.031), and posterior cingulate regions (U = 224.5, p = 0.035). In the left hemisphere, significant differences were detected in the cuneus (U = 226.5, p = 0.038) and posterior cingulate (U = 231.5, p = 0.046) regions. Analysis across three cognitive performance groups (NC, MPG, and LPG) showed significant curvature differences in the right isthmus cingulate (H(2) = 7.492, p = 0.024) and lingual regions (H(2) = 6.250, p = 0.044). Conclusions: Decreased mean cortical curvature in brain regions associated with cognitive function could be indicative of cognitive impairment and may reflect early neurodegenerative changes. These results highlight cortical curvature as a potential structural sign for cognitive impairment, showing the need for further investigation in longitudinal studies. Full article
(This article belongs to the Special Issue Magnetic Resonance in Various Diseases and Biomedical Applications)
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