Literature DB >> 25744520

Validity of shape as a predictive biomarker of final infarct volume in acute ischemic stroke.

Carole Frindel1, Anaïs Rouanet1, Mathilde Giacalone1, Tae-Hee Cho1, Leif Østergaard1, Jens Fiehler1, Salvador Pedraza1, Jean-Claude Baron1, Marlène Wiart1, Yves Berthezène1, Norbert Nighoghossian1, David Rousseau2.   

Abstract

BACKGROUND AND
PURPOSE: This study examines whether lesion shape documented on magnetic resonance diffusion-weighted imaging during acute stroke improves the prediction of the final infarct volume compared with lesion volume only.
METHODS: Diffusion-weighted imaging data and clinical information were retrospectively reviewed in 110 consecutive patients who underwent (n=67) or not (n=43) thrombolytic therapy for acute ischemic stroke. Three-dimensional shape analysis was performed on admission diffusion-weighted imaging data and 5 shape descriptors were developed. Final infarct volume was measured on T2-fluid-attenuated inversion recovery imaging data performed 30 days after stroke.
RESULTS: Shape analysis of acute ischemic lesion and more specifically the ratio of the bounding box volume to the lesion volume before thrombolytic treatment improved the prediction of the final infarct for patients undergoing thrombolysis (R(2)=0.86 in model with volume; R(2)=0.98 in model with volume and shape).
CONCLUSIONS: Our findings suggest that lesion shape contains important predictive information and reflects important environmental factors that might determine the progression of ischemia from the core.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  MRI; stroke

Mesh:

Substances:

Year:  2015        PMID: 25744520     DOI: 10.1161/STROKEAHA.114.008046

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  7 in total

1.  A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.

Authors:  King Chung Ho; William Speier; Haoyue Zhang; Fabien Scalzo; Suzie El-Saden; Corey W Arnold
Journal:  IEEE Trans Med Imaging       Date:  2019-02-25       Impact factor: 10.048

2.  Integrating regional perfusion CT information to improve prediction of infarction after stroke.

Authors:  Julian Klug; Elisabeth Dirren; Maria G Preti; Paolo Machi; Andreas Kleinschmidt; Maria I Vargas; Dimitri Van De Ville; Emmanuel Carrera
Journal:  J Cereb Blood Flow Metab       Date:  2020-06-05       Impact factor: 6.200

3.  Stroke subtype classification by geometrical descriptors of lesion shape.

Authors:  Bastian Cheng; Christian Knaack; Nils Daniel Forkert; Renate Schnabel; Christian Gerloff; Götz Thomalla
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

4.  Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic Stroke.

Authors:  Lucas A Ramos; Hendrikus van Os; Adam Hilbert; Silvia D Olabarriaga; Aad van der Lugt; Yvo B W E M Roos; Wim H van Zwam; Marianne A A van Walderveen; Marielle Ernst; Aeiko H Zwinderman; Gustav J Strijkers; Charles B L M Majoie; Marieke J H Wermer; Henk A Marquering
Journal:  Front Neurol       Date:  2022-04-01       Impact factor: 4.086

5.  Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke.

Authors:  Manon L Tolhuisen; Jan W Hoving; Miou S Koopman; Manon Kappelhof; Henk van Voorst; Agnetha E Bruggeman; Adam M Demchuck; Diederik W J Dippel; Bart J Emmer; Serge Bracard; Francis Guillemin; Robert J van Oostenbrugge; Peter J Mitchell; Wim H van Zwam; Michael D Hill; Yvo B W E M Roos; Tudor G Jovin; Olvert A Berkhemer; Bruce C V Campbell; Jeffrey Saver; Phil White; Keith W Muir; Mayank Goyal; Henk A Marquering; Charles B Majoie; Matthan W A Caan
Journal:  Diagnostics (Basel)       Date:  2022-07-23

6.  Association of stroke lesion shape with newly detected atrial fibrillation - Results from the MonDAFIS study.

Authors:  Bernardo Crespo Pimentel; Thies Ingwersen; Karl Georg Haeusler; Eckhard Schlemm; Nils D Forkert; Deepthi Rajashekar; Pauline Mouches; Alina Königsberg; Paulus Kirchhof; Claudia Kunze; Serdar Tütüncü; Manuel C Olma; Michael Krämer; Dominik Michalski; Andrea Kraft; Timolaos Rizos; Torsten Helberg; Sven Ehrlich; Darius G Nabavi; Joachim Röther; Ulrich Laufs; Roland Veltkamp; Peter U Heuschmann; Bastian Cheng; Matthias Endres; Götz Thomalla
Journal:  Eur Stroke J       Date:  2022-05-25

7.  Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke.

Authors:  Lucas A Ramos; Manon Kappelhof; Hendrikus J A van Os; Vicky Chalos; Katinka Van Kranendonk; Nyika D Kruyt; Yvo B W E M Roos; Aad van der Lugt; Wim H van Zwam; Irene C van der Schaaf; Aeilko H Zwinderman; Gustav J Strijkers; Marianne A A van Walderveen; Mariekke J H Wermer; Silvia D Olabarriaga; Charles B L M Majoie; Henk A Marquering
Journal:  Front Neurol       Date:  2020-10-15       Impact factor: 4.003

  7 in total

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