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Diagnostics
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Digital Imaging in Acute Ischemic Stroke
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Digital Imaging in Acute Ischemic Stroke

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1338

Special Issue Editor

Dr. Philip Hoelter

E-Mail Website
Guest Editor
Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054 Erlangen, Germany
Interests: diagnosis and therapy of neurovascular diseases; acute ischemic stroke; digital imaging

Special Issue Information

Dear Colleagues,

This Special Issue "Digital Imaging in Acute Ischemic Stroke" aims to provide a comprehensive exploration of the latest advancements, research findings, and applications of digital imaging techniques in the diagnosis and management of acute ischemic stroke. Acute ischemic stroke, caused by the blockage of blood flow to the brain, is a leading cause of disability and mortality worldwide, emphasizing the need for accurate and timely diagnosis to guide appropriate treatment decisions.

This Special Issue will focus on the utilization of digital imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), and angiography, in the assessment of acute ischemic stroke. It will cover topics including the role of advanced imaging techniques in the early detection of stroke, evaluation of the extent of cerebral ischemia, identification of salvageable brain tissue, and prediction of treatment responses.

Additionally, this Special Issue will highlight the emerging role of artificial intelligence (AI) and machine learning algorithms in analyzing medical images to improve stroke diagnosis and prognosis. It will explore the potential of AI-based image analysis in identifying imaging biomarkers, predicting clinical outcomes, and guiding personalized treatment strategies.

By compiling research articles, reviews, and clinical studies, this Special Issue aims to provide a comprehensive resource for healthcare professionals, radiologists, and researchers involved in the field of acute ischemic stroke. It seeks to promote knowledge exchange, foster innovation in digital imaging techniques, and enhance patient outcomes through early and accurate diagnosis. This Special Issue is expected to contribute to the advancement of digital imaging approaches and personalized care in acute ischemic stroke, ultimately improving patient management and reducing the burden of this devastating condition.

Dr. Philip Hoelter
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. Diagnostics 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

  • acute ischemic stroke
  • digital imaging
  • magnetic resonance imaging
  • computed tomography
  • angiography
  • artificial intelligence

Published Papers (2 papers)

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Research

10 pages, 931 KiB  
Article
CT Perfusion Derived rCBV < 42% Lesion Volume Is Independently Associated with Followup FLAIR Infarct Volume in Anterior Circulation Large Vessel Occlusion
by Dhairya A. Lakhani, Aneri B. Balar, Hamza Salim, Manisha Koneru, Sijin Wen, Burak Ozkara, Hanzhang Lu, Richard Wang, Meisam Hoseinyazdi, Risheng Xu, Mehreen Nabi, Ishan Mazumdar, Andrew Cho, Kevin Chen, Sadra Sepehri, Nathan Hyson, Victor Urrutia, Licia Luna, Argye E. Hillis, Jeremy J. Heit, Greg W. Albers, Ansaar T. Rai, Adam A. Dmytriw, Tobias D. Faizy, Max Wintermark, Kambiz Nael and Vivek S. Yedavalliadd Show full author list remove Hide full author list
Diagnostics 2024, 14(8), 845; https://doi.org/10.3390/diagnostics14080845 - 19 Apr 2024
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Abstract
Pretreatment CT Perfusion (CTP) parameter rCBV < 42% lesion volume has recently been shown to predict 90-day mRS. In this study, we aim to assess the relationship between rCBV < 42% and a radiographic follow-up infarct volume delineated on FLAIR images. In this [...] Read more.
Pretreatment CT Perfusion (CTP) parameter rCBV < 42% lesion volume has recently been shown to predict 90-day mRS. In this study, we aim to assess the relationship between rCBV < 42% and a radiographic follow-up infarct volume delineated on FLAIR images. In this retrospective evaluation of our prospectively collected database, we included acute stroke patients triaged by multimodal CT imaging, including CT angiography and perfusion imaging, with confirmed anterior circulation large vessel occlusion between 9 January 2017 and 10 January 2023. Follow-up FLAIR imaging was used to determine the final infarct volume. Student t, Mann-Whitney-U, and Chi-Square tests were used to assess differences. Spearman’s rank correlation and linear regression analysis were used to assess associations between rCBV < 42% and follow-up infarct volume on FLAIR. In total, 158 patients (median age: 68 years, 52.5% female) met our inclusion criteria. rCBV < 42% (ρ = 0.56, p < 0.001) significantly correlated with follow-up-FLAIR infarct volume. On multivariable linear regression analysis, rCBV < 42% lesion volume (beta = 0.60, p < 0.001), ASPECTS (beta = −0.214, p < 0.01), mTICI (beta = −0.277, p < 0.001), and diabetes (beta = 0.16, p < 0.05) were independently associated with follow-up infarct volume. The rCBV < 42% lesion volume is independently associated with FLAIR follow-up infarct volume. Full article
(This article belongs to the Special Issue Digital Imaging in Acute Ischemic Stroke)
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11 pages, 1382 KiB  
Article
Can Perfusion-Based Brain Tissue Oxygenation MRI Support the Understanding of Cerebral Abscesses In Vivo?
by Michael Knott, Philip Hoelter, Liam Soder, Sven Schlaffer, Sophia Hoffmanns, Roland Lang, Arnd Doerfler and Manuel Alexander Schmidt
Diagnostics 2023, 13(21), 3346; https://doi.org/10.3390/diagnostics13213346 - 30 Oct 2023
Viewed by 793
Abstract
Purpose: The clinical condition of a brain abscess is a potentially life-threatening disease. The combination of MRI-based imaging, surgical therapy and microbiological analysis is critical for the treatment and convalescence of the individual patient. The aim of this study was to evaluate brain [...] Read more.
Purpose: The clinical condition of a brain abscess is a potentially life-threatening disease. The combination of MRI-based imaging, surgical therapy and microbiological analysis is critical for the treatment and convalescence of the individual patient. The aim of this study was to evaluate brain tissue oxygenation measured with dynamic susceptibility contrast perfusion weighted imaging (DSC-PWI) in patients with brain abscess and its potential benefit for a better understanding of the environment in and around brain abscesses. Methods: Using a local database, 34 patients (with 45 abscesses) with brain abscesses treated between January 2013 and March 2021 were retrospectively included in this study. DSC-PWI imaging and microbiological work-up were key inclusion criteria. These data were analysed regarding a correlation between DSC-PWI and microbiological result by quantifying brain tissue oxygenation in the abscess itself, the abscess capsula and the surrounding oedema and by using six different parameters (CBF, CBV, CMRO2, COV, CTH and OEF). Results: Relative cerebral blood flow (0.335 [0.18–0.613] vs. 0.81 [0.49–1.08], p = 0.015), relative cerebral blood volume (0.44 [0.203–0.72] vs. 0.87 [0.67–1.2], p = 0.018) and regional cerebral metabolic rate for oxygen (0.37 [0.208–0.695] vs. 0.82 [0.55–1.19], p = 0.022) were significantly lower in the oedema around abscesses without microbiological evidence of a specific bacteria in comparison with microbiological positive lesions. Conclusions: The results of this study indicate a relationship between brain tissue oxygenation status in DSC-PWI and microbiological/inflammatory status. These results may help to better understand the in vivo environment of brain abscesses and support future therapeutic decisions. Full article
(This article belongs to the Special Issue Digital Imaging in Acute Ischemic Stroke)
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