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Diagnostics
Special Issues
Neurological Disorders: Diagnosis and Management
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Neurological Disorders: Diagnosis and Management

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 335

Special Issue Editor

Dr. Lung Chan

E-Mail Website
Guest Editor
Department of Neurology, Taipei Medical University, Shuang Ho Hospital, New Taipei City 235, Taiwan
Interests: neuroimaging; cerebrovascular disease; health behavior; untrasound signal and medical image; cerebral autoregulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Stroke remains a leading cause of disability and mortality worldwide, making early diagnosis and accurate prediction of treatment outcomes critical for improving patient care. Advances in neuroimaging, machine learning, and biomarker research have significantly enhanced stroke diagnosis, classification, and prognosis. The integration of artificial intelligence, multimodal imaging, and computational modeling has the potential to revolutionize stroke management by providing real-time risk assessment and personalized treatment strategies.

This Special Issue aims to publish high-quality scientific articles focused on improving stroke diagnosis and treatment outcome prediction. We welcome original research, case studies, case reports, and reviews that explore innovative methodologies, novel biomarkers, predictive modeling, and clinical decision support systems. Topics of interest include acute stroke imaging, thrombolysis and thrombectomy outcome prediction, rehabilitation prognosis, stroke-related machine learning applications, and individualized patient management. By fostering interdisciplinary research, this issue seeks to enhance early detection, optimize therapeutic interventions, and improve long-term functional outcomes for stroke patients.

We invite contributions from clinicians, researchers, and healthcare professionals working at the intersection of neurology, radiology, bioinformatics, and rehabilitation sciences. Your work will contribute to advancing the field and improving the lives of stroke patients worldwide.

Dr. Lung Chan
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

  • stroke diagnosis
  • treatment outcome prediction
  • neuroimaging
  • machine learning
  • biomarkers
  • personalized medicine

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Published Papers (1 paper)

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Research

12 pages, 1051 KiB  
Article
The Train-Line Pattern on Duplex Ultrasound Helps Differentiate Intramural Thrombus from Atheromatous Plaque in Common Carotid Artery Dissection
by Ming-Hsing Chang, Yen-Yu Huang, Fang-I Hsieh, Kuan-Yu Lin, Hsu-Ling Yeh, Kai-Jing Yeh and Li-Ming Lien
Diagnostics 2025, 15(10), 1297; https://doi.org/10.3390/diagnostics15101297 - 21 May 2025
Viewed by 240
Abstract
Background/Objectives: Common carotid artery dissection (CCAD) can result in severe neurological sequelae; however, its diagnosis may be challenging due to consciousness disturbance and aphasia. The objective of this article is to propose a new imaging feature to assist in the identification of CCAD. [...] Read more.
Background/Objectives: Common carotid artery dissection (CCAD) can result in severe neurological sequelae; however, its diagnosis may be challenging due to consciousness disturbance and aphasia. The objective of this article is to propose a new imaging feature to assist in the identification of CCAD. Methods: This retrospective case series enrolled 139 patients with discharge diagnoses of aortic dissection who underwent carotid ultrasound during admission over a period of three years. Results: Among these patients, 23 had type A aortic dissection, and 113 had type B aortic dissection or related conditions. Notably, among the 23 patients with type A aortic dissection, eight had associated common carotid artery dissection (CCAD), and a total of nine CCAD events were identified. Meanwhile, a B-mode ultrasound revealed six double lumens with intimal flaps and three intramural thrombi. The ‘train-line’ pattern in ultrasonography was discerned by detecting a hypoechoic thickened wall, which was characterized by a margin formed by two parallel linear reflections in close proximity. This distinctive “train-line” pattern was identified in three intimal flaps and two intramural thrombi. Conclusions: While double lumens and intramural thrombus are prevalent findings, the latter may be misinterpreted as atherosclerotic plaque. The “train-line” pattern may aid in distinguishing intramural thrombus from atheromatous plaque, offering an additional diagnostic tool alongside the identification of double lumens with intimal flaps. Full article
(This article belongs to the Special Issue Neurological Disorders: Diagnosis and Management)
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