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  1. Article ; Online: MRI biomarkers in acute ischemic stroke: a conceptual framework and historical analysis.

    Kidwell, Chelsea S

    Stroke

    2013  Volume 44, Issue 2, Page(s) 570–578

    MeSH term(s) Animals ; Biomarkers/metabolism ; History, 20th Century ; History, 21st Century ; Humans ; Magnetic Resonance Imaging/history ; Magnetic Resonance Imaging/methods ; Stroke/history ; Stroke/metabolism
    Chemical Substances Biomarkers
    Language English
    Publishing date 2013-02
    Publishing country United States
    Document type Historical Article ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.111.626093
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: End to end stroke triage using cerebrovascular morphology and machine learning.

    Deshpande, Aditi / Elliott, Jordan / Jiang, Bin / Tahsili-Fahadan, Pouya / Kidwell, Chelsea / Wintermark, Max / Laksari, Kaveh

    Frontiers in neurology

    2023  Volume 14, Page(s) 1217796

    Abstract: Background: Rapid and accurate triage of acute ischemic stroke (AIS) is essential for early revascularization and improved patient outcomes. Response to acute reperfusion therapies varies significantly based on patient-specific cerebrovascular anatomy ... ...

    Abstract Background: Rapid and accurate triage of acute ischemic stroke (AIS) is essential for early revascularization and improved patient outcomes. Response to acute reperfusion therapies varies significantly based on patient-specific cerebrovascular anatomy that governs cerebral blood flow. We present an end-to-end machine learning approach for automatic stroke triage.
    Methods: Employing a validated convolutional neural network (CNN) segmentation model for image processing, we extract each patient's cerebrovasculature and its morphological features from baseline non-invasive angiography scans. These features are used to detect occlusion's presence and the site automatically, and for the first time, to estimate collateral circulation without manual intervention. We then use the extracted cerebrovascular features along with commonly used clinical and imaging parameters to predict the 90 days functional outcome for each patient.
    Results: The CNN model achieved a segmentation accuracy of 94% based on the Dice similarity coefficient (DSC). The automatic stroke detection algorithm had a sensitivity and specificity of 92% and 94%, respectively. The models for occlusion site detection and automatic collateral grading reached 96% and 87.2% accuracy, respectively. Incorporating the automatically extracted cerebrovascular features significantly improved the 90 days outcome prediction accuracy from 0.63 to 0.83.
    Conclusion: The fast, automatic, and comprehensive model presented here can improve stroke diagnosis, aid collateral assessment, and enhance prognostication for treatment decisions, using cerebrovascular morphology.
    Language English
    Publishing date 2023-10-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2023.1217796
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Endovascular treatment of acute ischemic stroke.

    Kidwell, Chelsea S / Jahan, Reza

    Neurologic clinics

    2015  Volume 33, Issue 2, Page(s) 401–420

    Abstract: Endovascular therapy for acute stroke has evolved with the use of intra-arterial thrombolytics, intravenous/intra-arterial bridging strategies, and mechanical thrombectomy/aspiration devices. Despite widespread use in clinical practice, randomized trials ...

    Abstract Endovascular therapy for acute stroke has evolved with the use of intra-arterial thrombolytics, intravenous/intra-arterial bridging strategies, and mechanical thrombectomy/aspiration devices. Despite widespread use in clinical practice, randomized trials of first-generation devices failed to demonstrate improved outcomes compared with standard care. New-generation stent retriever devices demonstrate higher rates of revascularization and clinical outcomes compared with first-generation devices. Additional randomized trials are underway and have the potential to confirm clinical efficacy of new-generation devices compared with standard care. The role of additional advanced imaging for patient selection remains unclear, and further trials are needed to demonstrate the role of these techniques for patient selection.
    MeSH term(s) Endovascular Procedures/methods ; Humans ; Neuroimaging/methods ; Stroke/therapy ; Thrombolytic Therapy/methods
    Language English
    Publishing date 2015-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1013148-6
    ISSN 1557-9875 ; 0733-8619
    ISSN (online) 1557-9875
    ISSN 0733-8619
    DOI 10.1016/j.ncl.2015.01.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Hyperglycemia, Ischemic Lesions, and Functional Outcomes After Intracerebral Hemorrhage.

    Lusk, Jay B / Covington, Anna / Liu, Li / Weikel, Daniel P / Li, Yi-Ju / Sekar, Padmini / Demel, Stacie L / Aziz, Yasmin N / Kidwell, Chelsea S / Woo, Daniel / James, Michael L

    Journal of the American Heart Association

    2023  Volume 12, Issue 13, Page(s) e028632

    Abstract: Background Ischemic lesions observed on diffusion-weighted imaging (DWI) magnetic resonance imaging are associated with poor outcomes after intracerebral hemorrhage (ICH). We evaluated the association between hyperglycemia, ischemic lesions, and ... ...

    Abstract Background Ischemic lesions observed on diffusion-weighted imaging (DWI) magnetic resonance imaging are associated with poor outcomes after intracerebral hemorrhage (ICH). We evaluated the association between hyperglycemia, ischemic lesions, and functional outcomes after ICH. Methods and Results This was a retrospective observational analysis of 1167 patients who received magnetic resonance imaging in the ERICH (Ethnic and Racial Variations in Intracerebral Hemorrhage) study. A machine learning strategy using the elastic net regularization and selection procedure was used to perform automated variable selection to identify final multivariable logistic regression models. Sensitivity analyses with alternative model development strategies were performed, and predictive performance was compared. After covariate adjustment, white matter hyperintensity score, leukocyte count on admission, and non-Hispanic Black race (compared with non-Hispanic White race) were associated with the presence of DWI lesions. History of ICH and ischemic stroke, presence of DWI lesions, deep ICH location (versus lobar), ICH volume, age, lower Glasgow Coma Score on admission, and medical history of diabetes were associated with poor 6-month modified Rankin Scale outcome (4-6) after covariate adjustment. Inclusion of interactions between race and ethnicity and variables included in the final multivariable model for functional outcome improved model performance; a significant interaction between race and ethnicity and medical history of diabetes and serum blood glucose on admission was observed. Conclusions No measure of hyperglycemia or diabetes was associated with presence of DWI lesions. However, both medical history of diabetes and presence of DWI lesions were independently associated with poor functional outcomes after ICH.
    MeSH term(s) Humans ; Brain Ischemia/complications ; Brain Ischemia/diagnostic imaging ; Brain Ischemia/ethnology ; Cerebral Hemorrhage/complications ; Cerebral Hemorrhage/diagnostic imaging ; Cerebral Hemorrhage/ethnology ; Cerebral Hemorrhage/therapy ; Diffusion Magnetic Resonance Imaging ; Ethnicity ; Hyperglycemia/complications ; Recovery of Function ; Retrospective Studies ; Black or African American ; White
    Language English
    Publishing date 2023-06-22
    Publishing country England
    Document type Journal Article ; Observational Study ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2653953-6
    ISSN 2047-9980 ; 2047-9980
    ISSN (online) 2047-9980
    ISSN 2047-9980
    DOI 10.1161/JAHA.122.028632
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Imaging for prediction of functional outcome and assessment of recovery in ischemic stroke.

    Heiss, Wolf-Dieter / Kidwell, Chelsea S

    Stroke

    2014  Volume 45, Issue 4, Page(s) 1195–1201

    MeSH term(s) Brain Ischemia/diagnosis ; Brain Ischemia/physiopathology ; Diffusion Magnetic Resonance Imaging ; Humans ; Perfusion Imaging ; Predictive Value of Tests ; Prognosis ; Recovery of Function ; Stroke/diagnosis ; Stroke/physiopathology ; Tomography, X-Ray Computed
    Language English
    Publishing date 2014-03-04
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.113.003611
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Advances in stroke: Imaging 2013.

    Heiss, Wolf-Dieter / Kidwell, Chelsea S

    Stroke

    2014  Volume 45, Issue 2, Page(s) 363–364

    MeSH term(s) Humans ; Magnetic Resonance Imaging ; Nerve Net/diagnostic imaging ; Nerve Net/pathology ; Neuroimaging/trends ; Reperfusion ; Spin Labels ; Stroke/diagnosis ; Stroke/diagnostic imaging ; Stroke/pathology ; Thrombolytic Therapy ; Tomography, X-Ray Computed
    Chemical Substances Spin Labels
    Language English
    Publishing date 2014-01-16
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.113.004102
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Reply: To PMID 22367992.

    Menon, Ravi / Kidwell, Chelsea

    Annals of neurology

    2013  Volume 73, Issue 6, Page(s) 797

    MeSH term(s) Brain Ischemia/epidemiology ; Brain Ischemia/physiopathology ; Cerebral Hemorrhage/epidemiology ; Cerebral Hemorrhage/physiopathology ; Female ; Humans ; Male
    Language English
    Publishing date 2013-06
    Publishing country United States
    Document type Comment ; Letter ; Research Support, N.I.H., Extramural
    ZDB-ID 80362-5
    ISSN 1531-8249 ; 0364-5134
    ISSN (online) 1531-8249
    ISSN 0364-5134
    DOI 10.1002/ana.23852
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Response to letter regarding article, "Association of chronic kidney disease with cerebral microbleeds in patients with primary intracerebral hemorrhage".

    Ovbiagele, Bruce / Kidwell, Chelsea S

    Stroke

    2013  Volume 44, Issue 12, Page(s) e232

    MeSH term(s) Cerebral Hemorrhage/epidemiology ; Female ; Humans ; Male ; Renal Insufficiency, Chronic/epidemiology
    Language English
    Publishing date 2013-11-05
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.113.003354
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: MRI replaces CT for stroke evaluation.

    Kidwell, Chelsea

    MedGenMed : Medscape general medicine

    2005  Volume 7, Issue 4, Page(s) 22

    MeSH term(s) Humans ; Image Enhancement/methods ; Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging/trends ; Reproducibility of Results ; Sensitivity and Specificity ; Stroke/diagnosis ; Technology Assessment, Biomedical ; Tomography, X-Ray Computed/methods ; Tomography, X-Ray Computed/trends
    Language English
    Publishing date 2005-10-24
    Publishing country United States
    Document type Editorial
    ZDB-ID 2041637-4
    ISSN 1531-0132 ; 1531-0132
    ISSN (online) 1531-0132
    ISSN 1531-0132
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Neurologic complications of cardiac tumors.

    Roeltgen, David / Kidwell, Chelsea S

    Handbook of clinical neurology

    2014  Volume 119, Page(s) 209–222

    Abstract: Cardiac tumors are an uncommon cause for neurologic disease, but if undiagnosed can be associated with devastating neurologic consequences. Primary cardiac tumors, both benign and neoplastic, and metastatic tumors occur. Primary cardiac tumors are more ... ...

    Abstract Cardiac tumors are an uncommon cause for neurologic disease, but if undiagnosed can be associated with devastating neurologic consequences. Primary cardiac tumors, both benign and neoplastic, and metastatic tumors occur. Primary cardiac tumors are more likely to be associated with neurologic embolic complications. Metastatic cardiac tumors are more likely to be associated with valvular distraction, arrhythmia, diminished cardiac output and indirect neurological dysfunction. Primary and metastatic cardiac tumors may result in cerebral metastatic disease. Atrial myxoma, a benign primary cardiac tumor, is the most common cardiac tumor associated with neurologic disease, and most commonly causes cerebral embolization and stroke. The use of thrombolytic therapy for these strokes is controversial. Additionally, delayed manifestations, including aneurysm formation and intracranial hemorrhage, are possible. Aneurysm formation has been described as occurring after removal of the primary tumor. The availability of noninvasive cardiac imaging has significantly helped decrease the neurologic morbidity of cardiac tumors and has led to frequent successful intervention.
    MeSH term(s) Heart Neoplasms/complications ; Humans ; Nervous System Diseases/etiology
    Language English
    Publishing date 2014
    Publishing country Netherlands
    Document type Journal Article ; Review
    ISSN 0072-9752
    ISSN 0072-9752
    DOI 10.1016/B978-0-7020-4086-3.00015-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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