Stroke subtype classification by geometrical descriptors of lesion shape
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Stroke subtype classification by geometrical descriptors of lesion shape. / Cheng, Bastian; Knaack, Christian; Forkert, Nils Daniel; Schnabel, Renate; Gerloff, Christian; Thomalla, Götz.
in: PLOS ONE, Jahrgang 12, Nr. 12, 2017, S. e0185063.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Stroke subtype classification by geometrical descriptors of lesion shape
AU - Cheng, Bastian
AU - Knaack, Christian
AU - Forkert, Nils Daniel
AU - Schnabel, Renate
AU - Gerloff, Christian
AU - Thomalla, Götz
PY - 2017
Y1 - 2017
N2 - BACKGROUND AND PURPOSE: Inference of etiology from lesion pattern in acute magnetic resonance imaging is valuable for management and prognosis of acute stroke patients. This study aims to assess the value of three-dimensional geometrical lesion-shape descriptors for stroke-subtype classification, specifically regarding stroke of cardioembolic origin.METHODS: Stroke Etiology was classified according to ASCOD in retrospectively selected patients with acute stroke. Lesions were segmented on diffusion-weighed datasets, and descriptors of lesion shape quantified: surface area, sphericity, bounding box volume, and ratio between bounding box and lesion volume. Morphological measures were compared between stroke subtypes classified by ASCOD and between patients with embolic stroke of cardiac and non-cardiac source.RESULTS: 150 patients (mean age 77 years; 95% CI, 65-80 years; median NIHSS 6, range 0-22) were included. Group comparison of lesion shape measures demonstrated that lesions caused by small-vessel disease were smaller and more spherical compared to other stroke subtypes. No significant differences of morphological measures were detected between patients with cardioembolic and non-cardioembolic stroke.CONCLUSION: Stroke lesions caused by small vessel disease can be distinguished from other stroke lesions based on distinctive morphological properties. However, within the group of embolic strokes, etiology could not be inferred from the morphology measures studied in our analysis.
AB - BACKGROUND AND PURPOSE: Inference of etiology from lesion pattern in acute magnetic resonance imaging is valuable for management and prognosis of acute stroke patients. This study aims to assess the value of three-dimensional geometrical lesion-shape descriptors for stroke-subtype classification, specifically regarding stroke of cardioembolic origin.METHODS: Stroke Etiology was classified according to ASCOD in retrospectively selected patients with acute stroke. Lesions were segmented on diffusion-weighed datasets, and descriptors of lesion shape quantified: surface area, sphericity, bounding box volume, and ratio between bounding box and lesion volume. Morphological measures were compared between stroke subtypes classified by ASCOD and between patients with embolic stroke of cardiac and non-cardiac source.RESULTS: 150 patients (mean age 77 years; 95% CI, 65-80 years; median NIHSS 6, range 0-22) were included. Group comparison of lesion shape measures demonstrated that lesions caused by small-vessel disease were smaller and more spherical compared to other stroke subtypes. No significant differences of morphological measures were detected between patients with cardioembolic and non-cardioembolic stroke.CONCLUSION: Stroke lesions caused by small vessel disease can be distinguished from other stroke lesions based on distinctive morphological properties. However, within the group of embolic strokes, etiology could not be inferred from the morphology measures studied in our analysis.
KW - Aged
KW - Aged, 80 and over
KW - Female
KW - Humans
KW - Magnetic Resonance Imaging
KW - Male
KW - Middle Aged
KW - Retrospective Studies
KW - Stroke
KW - Journal Article
U2 - 10.1371/journal.pone.0185063
DO - 10.1371/journal.pone.0185063
M3 - SCORING: Journal article
C2 - 29216218
VL - 12
SP - e0185063
JO - PLOS ONE
JF - PLOS ONE
SN - 1932-6203
IS - 12
ER -