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Clinical Management and Radiological Assessment in Traumatic Brain Injury
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Clinical Management and Radiological Assessment in Traumatic Brain Injury

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

Deadline for manuscript submissions: 20 October 2025 | Viewed by 2323

Special Issue Editor

Dr. Daniel Pinggera

E-Mail Website
Guest Editor
Department of Neurosurgery, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria
Interests: traumatic brain injury; spinal degenerative diseases; neuro-oncology; neurosurgery

Special Issue Information

Dear Colleagues,

We are delighted to introduce this Special Issue focusing on traumatic brain injury (TBI), emphasizing its significant global impact on fatalities, disabilities, and long-term dependence. Acknowledging the complexity of TBI, strict clinical management, early treatment decisions, and comprehensive radiological assessments are essential to achieve optimal outcomes. This Special Issue, titled “Clinical Management and Radiological Assessment in Traumatic Brain Injury”, aims to provide insights into the latest advancements and future directions within TBI management, covering aspects such as clinical work-up, imaging, diagnosis, prognosis, and both surgical and non-surgical interventions.

Moreover, this Special Issue aims to explore diverse topics, including surgical management, neuroimaging, and rehabilitation, with contributions from leading experts in the field. The articles published herein should aim to discuss advanced techniques and technologies in TBI diagnosis and management. Additionally, this Special Issue intends to address both challenges and opportunities, such as biomarker utilization, neuroimaging’s role, and targeted metabolomic protocols. This Special Issue will be valuable for healthcare professionals involved in the care of TBI patients.

Dr. Daniel Pinggera
Guest Editor

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

  • traumatic brain injury
  • MRI
  • MR spectroscopy
  • neuroimaging
  • biomarker
  • neurocritical care
  • decompressive craniectomy
  • neuromonitoring
  • surgery
  • metabolomics
  • biomarker
  • rehabilitation

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Published Papers (2 papers)

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11 pages, 308 KiB  
Systematic Review
Timing of Magnetic Resonance Imaging (MRI) in Moderate and Severe TBI: A Systematic Review
by Philipp Geiger, Raphael Gmeiner, Victoria Schön, Ondra Petr, Claudius Thomé and Daniel Pinggera
J. Clin. Med. 2025, 14(12), 4078; https://doi.org/10.3390/jcm14124078 - 9 Jun 2025
Viewed by 369
Abstract
Background: Traumatic brain injury (TBI) remains a significant global health concern with a substantial socioeconomic impact. Although computed tomography (CT) is the primary initial neuroimaging technique, magnetic resonance imaging (MRI) offers a superior detection of subtle brain injuries. However, the ideal timing [...] Read more.
Background: Traumatic brain injury (TBI) remains a significant global health concern with a substantial socioeconomic impact. Although computed tomography (CT) is the primary initial neuroimaging technique, magnetic resonance imaging (MRI) offers a superior detection of subtle brain injuries. However, the ideal timing for MRI in critically ill patients with TBI remains unclear. Methods: This systematic literature review focused on the timing and utility of MRI in moderate and severe TBI in the early treatment phase. A comprehensive search was conducted using PubMed, employing specific search terms related to MRI timing and prognostication in TBI. The mean duration from admission to first MRI was examined in the conducting medical center for reference. Results: Early MRI, within 72 h post-injury, demonstrated a prognostic value compared with later scans. Diffusion tensor imaging (DTI) performed within 48 to 72 h captured critical pathophysiological changes. The presence of bilateral traumatic axonal injury in the brainstem or thalami on MRI served as a significant predictor of outcome in severe TBI. In pediatric TBI, most institutions performed MRI between seventy-two hours and two weeks post-injury, highlighting variability in practices. The mean interval until the first MRI at the conducting center was 16 days. Conclusions: MRI appears to be a valuable tool for prognostication in moderate to severe TBI, offering additional insights beyond those provided by CT. However, the optimal timing and modality for accurate diagnostic and prognostic utility remain uncertain. Current evidence suggests that MRI performed within 72 h after injury in ICU-treated patients with moderate and severe TBI offers valuable prognostic insights compared with delayed MRI, although further research is needed to establish standardized timing protocols and confirm the clinical impact. Full article
(This article belongs to the Special Issue Clinical Management and Radiological Assessment in Traumatic Brain Injury)
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23 pages, 843 KiB  
Systematic Review
Neuromechanical Models of Mild Traumatic Brain Injury Conditioned on Reaction Time: A Systematic Review and Meta-Analysis
by Avinash Baskaran, Ross D. Hoehn and Chad G. Rose
J. Clin. Med. 2024, 13(24), 7648; https://doi.org/10.3390/jcm13247648 - 16 Dec 2024
Viewed by 1380
Abstract
The accurate, repeatable, and cost-effective quantitative characterization of mild traumatic brain injuries (mTBIs) is crucial for safeguarding the long-term health and performance of high-risk groups, including athletes, emergency responders, and military personnel. However, gaps remain in optimizing mTBI assessment methods, especially regarding the [...] Read more.
The accurate, repeatable, and cost-effective quantitative characterization of mild traumatic brain injuries (mTBIs) is crucial for safeguarding the long-term health and performance of high-risk groups, including athletes, emergency responders, and military personnel. However, gaps remain in optimizing mTBI assessment methods, especially regarding the integration of neuromechanical metrics such as reaction time (RT) in predictive models. Background/Objectives: This review synthesizes existing research on the use of neuromechanical probabilistic models as tools for assessing mTBI, with an emphasis on RT’s role in predictive diagnostics. Methods: We examined 57 published studies on recent sensing technologies such as advanced electromyographic (EMG) systems that contribute data for probabilistic neural imaging, and we also consider measurement models for real-time RT tracking as a diagnostic measure. Results: The analysis identifies three primary contributions: (1) a comprehensive survey of probabilistic approaches for mTBI characterization based on RT, (2) a technical examination of these probabilistic algorithms in terms of reliability and clinical utility, and (3) a detailed outline of experimental requirements for using RT-based metrics in psychomotor tasks to advance mTBI diagnostics. Conclusions: This review provides insights into implementing RT-based neuromechanical metrics within experimental frameworks for mTBI diagnosis, suggesting that such metrics may enhance the sensitivity and utility of assessment and rehabilitation protocols. Further validation studies are recommended to refine RT-based probabilistic models for mTBI applications. Full article
(This article belongs to the Special Issue Clinical Management and Radiological Assessment in Traumatic Brain Injury)
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