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Neuroimaging in 2024 and Beyond
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Neuroimaging in 2024 and Beyond

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Clinical Neurology".

Deadline for manuscript submissions: 10 March 2025 | Viewed by 2175

Special Issue Editors

Dr. Alberto Negro

E-Mail
Guest Editor
Neuroradiology Unit, Ospedale del Mare ASL NA1 Centro, Via Enrico Russo, 80147 Naples, Italy
Interests: interventional neuroradiology; MRI; neuroimaging
Dr. Lorenzo Ugga

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Guest Editor
Department of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy
Interests: neuroradiology; neurological sciences; neurosurgery; brain tumor; head and neck pathology; radiomics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, neuroradiology has made indescribable progress. Technological advances have allowed for the development of diagnostic methods capable of providing images characterized by their high resolution of spatial anatomy (computerized tomography and magnetic resonance imaging), but also by informative content on tissue cellular characteristics, thanks to the development of sophisticated imaging techniques such as DWI MRI, spectroscopy MRI, and perfusion MRI. New trends in and future directions of research are developing and progressively modifying the traditional working methods of neuroradiologists around the world, increasingly implementing precision diagnostics, thanks to which imaging biomarkers of disease and responses to treatments can be identified.

Alongside precision diagnostics, interventional neuroradiology methods have also been developed in the endovascular and spinal fields that have radically changed the healthcare management of many neurological and neurosurgical pathologies.

Furthermore, there is growing momentum behind leveraging artificial intelligence techniques to improve workflows, diagnosis, and treatment, and to enhance the value of quantitative imaging techniques. We welcome the submission of articles that address technological advances and innovations in diagnostic, interventional, and experimental neuroradiology capable of changing daily clinical practice (as well as preclinical activity with translational perspectives) in various fields of medicine, such as neurology, neurosurgery, oncology, or radiotherapy.

We invite authors to submit articles on technological advances and innovations in diagnostic and interventional neuroradiology for this Special Issue, in order to better understand what can be identified as neuroimaging biomarkers capable of developing a precision diagnostic and therapeutic approach.

Dr. Alberto Negro
Dr. Lorenzo Ugga
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neuroimaging
  • neuroradiology
  • neuro-oncology
  • brain degenerative disease
  • magnetic resonance imaging
  • neurosurgery
  • neurology

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Published Papers (3 papers)

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Research

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10 pages, 3121 KiB  
Article
Hybrid CT Angio Suite for Acute Ischemic Stroke: A New Time-Saving Workflow Model?
by Pietro Trombatore, Simone Cottonaro, Iacopo Valente, Emilio Lozupone, Luigi Della Gatta, Alfio Cannella, Clara Di Lorenzo, Antonio Ragusa, Luca Mammino and Gianluca Galvano
J. Clin. Med. 2025, 14(3), 963; https://doi.org/10.3390/jcm14030963 (registering DOI) - 3 Feb 2025
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Abstract
Objectives: Explore the effect of the introduction of a hybrid CT angio suite on the in-hospital workflow time of patients with acute ischemic stroke. Methods: This was a retrospective observational case-control study. All consecutive patients admitted to our emergency department with suspected ischemic [...] Read more.
Objectives: Explore the effect of the introduction of a hybrid CT angio suite on the in-hospital workflow time of patients with acute ischemic stroke. Methods: This was a retrospective observational case-control study. All consecutive patients admitted to our emergency department with suspected ischemic stroke who underwent stroke imaging and mechanical thrombectomy (MT) in the new hybrid CT angio suite from October 2023 to March 2024 were included in the study. The primary outcome was the evaluation of in-hospital workflow times by the assessment of both the time from hospital admission to the beginning of the endovascular treatment (door-to-groin time, DTG) and the time from the interpretation of imaging to arterial puncture (CT-to-groin time, CTTG). The secondary aim was the evaluation of the clinical outcome through the evaluation of the mRS at 3 months. These data were compared to the control group. Results: Between October 2023 and March 2024, 50 consecutive patients with suspected ischemic stroke underwent neuroimaging and MT in the hybrid CT angio suite. We observed a significant reduction of the median DTG time from 71 min to 36 min (p < 0.001) and the median CT-to-groin time from 44 min to 12 min (p < 0.001) compared to the control group. Conclusions: The introduction of the hybrid CT angio suite dedicated to acute ischemic stroke has definitely reduced in-hospital delays, allowing better management of these patients. Full article
(This article belongs to the Special Issue Neuroimaging in 2024 and Beyond)
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21 pages, 4171 KiB  
Article
Global and Regional Sex-Related Differences, Asymmetry, and Peak Age of Brain Myelination in Healthy Adults
by Marina Y. Khodanovich, Mikhail V. Svetlik, Anna V. Naumova, Anna V. Usova, Valentina Y. Pashkevich, Marina V. Moshkina, Maria M. Shadrina, Daria A. Kamaeva, Victoria B. Obukhovskaya, Nadezhda G. Kataeva, Anastasia Y. Levina, Yana A. Tumentceva and Vasily L. Yarnykh
J. Clin. Med. 2024, 13(23), 7065; https://doi.org/10.3390/jcm13237065 - 22 Nov 2024
Viewed by 661
Abstract
Background: The fundamental question of normal brain myelination in human is still poorly understood. Methods: Age-dependent global, regional, and interhemispheric sex-related differences in brain myelination of 42 (19 men, 23 women) healthy adults (19–67 years) were explored using the MRI method of [...] Read more.
Background: The fundamental question of normal brain myelination in human is still poorly understood. Methods: Age-dependent global, regional, and interhemispheric sex-related differences in brain myelination of 42 (19 men, 23 women) healthy adults (19–67 years) were explored using the MRI method of fast macromolecular fraction (MPF) mapping. Results: Higher brain myelination in males compared to females was found in global white matter (WM), most WM tracts, juxtacortical WM regions, and putamen. The largest differences between men and women, exceeding 4%, were observed bilaterally in the frontal juxtacortical WM; angular, inferior occipital, and cuneus WM; external capsule; and inferior and superior fronto-orbital fasciculi. The majority of hemispheric differences in MPF were common to men and women. Sex-specific interhemispheric differences were found in juxtacortical WM; men more often had left-sided asymmetry, while women had right-sided asymmetry. Most regions of deep gray matter (GM), juxtacortical WM, and WM tracts (except for projection pathways) showed a later peak age of myelination in women compared to men, with a difference of 3.5 years on average. Body mass index (BMI) was associated with higher MPF and later peak age of myelination independent of age and sex. Conclusions: MPF mapping showed high sensitivity to assess sex-related differences in normal brain myelination, providing the basis for using this method in clinics. Full article
(This article belongs to the Special Issue Neuroimaging in 2024 and Beyond)
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Review

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22 pages, 928 KiB  
Review
Medical Digital Twin: A Review on Technical Principles and Clinical Applications
by Mario Tortora, Francesco Pacchiano, Suely Fazio Ferraciolli, Sabrina Criscuolo, Cristina Gagliardo, Katya Jaber, Manuel Angelicchio, Francesco Briganti, Ferdinando Caranci, Fabio Tortora and Alberto Negro
J. Clin. Med. 2025, 14(2), 324; https://doi.org/10.3390/jcm14020324 - 7 Jan 2025
Viewed by 1080
Abstract
The usage of digital twins (DTs) is growing across a wide range of businesses. The health sector is one area where DT use has recently increased. Ultimately, the concept of digital health twins holds the potential to enhance human existence by transforming disease [...] Read more.
The usage of digital twins (DTs) is growing across a wide range of businesses. The health sector is one area where DT use has recently increased. Ultimately, the concept of digital health twins holds the potential to enhance human existence by transforming disease prevention, health preservation, diagnosis, treatment, and management. Big data’s explosive expansion, combined with ongoing developments in data science (DS) and artificial intelligence (AI), might greatly speed up research and development by supplying crucial data, a strong cyber technical infrastructure, and scientific know-how. The field of healthcare applications is still in its infancy, despite the fact that there are several DT programs in the military and industry. This review’s aim is to present this cutting-edge technology, which focuses on neurology, as one of the most exciting new developments in the medical industry. Through innovative research and development in DT technology, we anticipate the formation of a global cooperative effort among stakeholders to improve health care and the standard of living for millions of people globally. Full article
(This article belongs to the Special Issue Neuroimaging in 2024 and Beyond)
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