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Clinical paper|Articles in Press, 109761

Association between the extent of diffusion restriction on brain diffusion-weighted imaging and neurological outcomes after an out-of-hospital cardiac arrest

      Abstract

      Background

      This study evaluated the association between the extent of diffusion restriction on brain diffusion-weighted imaging (DWI) and neurological outcomes in patients who underwent targeted temperature management (TTM) after an out-of-hospital cardiac arrest (OHCA).

      Methods

      Patients who underwent brain magnetic resonance imaging within 10 days of OHCA between 2012 and 2021 were analysed. The extent of diffusion restriction was described according to the modified DWI Alberta Stroke Program Early Computed Tomography Score (DWI-ASPECTS). The 35 predefined brain regions were assigned a score if diffuse signal changes were concordantly present in DWI scans and apparent diffusion coefficient maps. The primary outcome was an unfavourable neurological outcome at 6 months. The sensitivity, specificity, and receiver operating characteristic (ROC) curves for the measured parameters were analysed. Cut-off values were determined to predict the primary outcome. The predictive cut-off DWI-ASPECTS was internally validated using five-fold cross-validation.

      Results

      Of the 301 patients, 108 (35.9%) had 6-month favourable neurological outcomes. Patients with unfavourable outcomes had higher whole-brain DWI-ASPECTS (median, 31 [26–33] vs. 0 [0–1], P < 0.001) than those with favourable outcomes. The area under the ROC curve (AUROC) of whole-brain DWI-ASPECTS was 0.957 (95% confidence interval [CI] 0.928–0.977). A cut-off value of ≥8 for unfavourable neurological outcomes had specificity and sensitivity of 100% (95% CI 96.6–100) and 89.6% (95% CI 84.4–93.6), respectively. The mean AUROC was 0.956.

      Conclusion

      More extensive diffusion restriction on DWI-ASPECTS in patients with OHCA who underwent TTM was associated with 6-month unfavourable neurological outcomes.
      Running title: Diffusion restriction and neurological outcomes after cardiac arrest.

      Keywords

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      References

        • Hwan Kim Y.
        • Ho Lee J.
        • Kun Hong C.
        • et al.
        Feasibility of optic nerve sheath diameter measured on initial brain computed tomography as an early neurologic outcome predictor after cardiac arrest.
        Acad Emerg Med. 2014; 21: 1121-1128
        • Kim Y.M.
        • Jeung K.W.
        • Kim W.Y.
        • et al.
        2020 Korean guidelines for cardiopulmonary resuscitation. part 5. Post-cardiac arrest care. Clin Exp.
        Emerg Med. 2021; 8: S41-S64
        • Kirschen M.P.
        • Licht D.J.
        • Faerber J.
        • et al.
        Association of MRI brain injury with outcome after pediatric out-of-hospital cardiac arrest.
        Neurology. 2021; 96: e719-e731
        • Keijzer H.M.
        • Hoedemaekers C.W.E.
        • Meijer F.J.A.
        • Tonino B.A.R.
        • Klijn C.J.M.
        • Hofmeijer J.
        Brain imaging in comatose survivors of cardiac arrest: pathophysiological correlates and prognostic properties.
        Resuscitation. 2018; 133: 124-136
        • Oren N.C.
        • Chang E.
        • Yang C.W.
        • Lee S.K.
        Brain diffusion imaging findings may predict clinical outcome after cardiac arrest.
        J Neuroimaging. 2019; 29: 540-547
        • Ryoo S.M.
        • Jeon S.B.
        • Sohn C.H.
        • et al.
        Predicting outcome with diffusion-weighted imaging in cardiac arrest patients receiving hypothermia therapy: multicenter retrospective cohort study.
        Crit Care Med. 2015; 43: 2370-2377
        • Hirsch K.G.
        • Mlynash M.
        • Jansen S.
        • et al.
        Prognostic value of a qualitative brain MRI scoring system after cardiac arrest.
        J Neuroimaging. 2015; 25: 430-437
        • Sair H.I.
        • Hannawi Y.
        • Li S.
        • et al.
        Early functional connectome integrity and 1-year recovery in comatose survivors of cardiac arrest.
        Radiology. 2018; 287: 247-255
        • Velly L.
        • Perlbarg V.
        • Boulier T.
        • et al.
        Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study.
        Lancet Neurol. 2018; 17: 317-326
        • An C.
        • You Y.
        • Park J.S.
        • et al.
        The cut-off value of a qualitative brain diffusion-weighted image (DWI) scoring system to predict poor neurologic outcome in out-of-hospital cardiac arrest (OHCA) patients after target temperature management.
        Resuscitation. 2020; 157: 202-210
        • Youn C.S.
        • Park K.N.
        • Kim J.Y.
        • et al.
        Repeated diffusion weighted imaging in comatose cardiac arrest patients with therapeutic hypothermia.
        Resuscitation. 2015; 96: 1-8
        • Leao R.N.
        • Avila P.
        • Cavaco R.
        • Germano N.
        • Bento L.
        Therapeutic hypothermia after cardiac arrest: outcome predictors.
        Rev Bras Ter Intensiva. 2015; 27: 322-332
        • Greer D.
        • Scripko P.
        • Bartscher J.
        • et al.
        Clinical MRI interpretation for outcome prediction in cardiac arrest.
        Neurocrit Care. 2012; 17: 240-244
        • Topcuoglu M.A.
        • Oguz K.K.
        • Buyukserbetci G.
        • Bulut E.
        Prognostic value of magnetic resonance imaging in post-resuscitation encephalopathy.
        Intern Med. 2009; 48: 1635-1645
        • Barber P.A.
        • Demchuk A.M.
        • Zhang J.
        • Buchan A.M.
        Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. ASPECTS study group. Alberta stroke programme early CT score.
        Lancet. 2000; 355: 1670-1674
        • Sugimori H.
        • Kanna T.
        • Yamashita K.
        • et al.
        Early findings on brain computed tomography and the prognosis of post-cardiac arrest syndrome: application of the score for stroke patients.
        Resuscitation. 2012; 83: 848-854
        • Lee K.S.
        • Lee S.E.
        • Choi J.Y.
        • et al.
        Useful computed tomography score for estimation of early neurologic outcome in post-cardiac arrest patients with therapeutic hypothermia.
        Circ J. 2017; 81: 1628-1635
        • Ryu J.A.
        • Lee Y.H.
        • Chung C.R.
        • et al.
        Prognostic value of computed tomography score in patients after extracorporeal cardiopulmonary resuscitation.
        Crit Care. 2018; 22: 323
        • Jennett B.
        • Bond M.
        Assessment of outcome after severe brain damage.
        Lancet. 1975; 1: 480-484
        • Lee Y.J.
        • Ahn S.
        • Cho J.Y.
        • et al.
        Change in perception of the quality of death in the intensive care unit by healthcare workers associated with the implementation of the “well-dying law”.
        Intensive Care Med. 2022; 48: 281-289
        • Lopez Soto C.
        • Dragoi L.
        • Heyn C.C.
        • et al.
        Imaging for neuroprognostication after cardiac arrest: systematic review and meta-analysis.
        Neurocrit Care. 2020; 32: 206-216
        • Boyce L.W.
        • Goossens P.H.
        • Moulaert V.R.
        • Pound G.
        • van Heugten C.M.
        Out-of-hospital cardiac arrest survivors need both cardiological and neurological rehabilitation!.
        Curr Opin Crit Care. 2019; 25: 240-243
        • Larsson K.
        • Hjelm C.
        • Lilja G.
        • Strömberg A.
        • Årestedt K.
        Differences in self-reported health between cardiac arrest survivors with good cerebral performance and survivors with moderate cerebral disability: a nationwide register study.
        BMJ Open. 2022; 12: e058945
        • Jovicich J.
        • Marizzoni M.
        • Sala-Llonch R.
        • et al.
        Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations.
        Neuroimage. 2013; 83: 472-484
        • Sasaki M.
        • Ida M.
        • Yamada K.
        • Watanabe Y.
        • Matsui M.
        Standardizing display conditions of diffusion-weighted images using concurrent b0 images: a multi-vendor multi-institutional study.
        Magn Reson Med Sci. 2007; 6: 133-137
        • Hara T.
        • Inoue Y.
        • Ukisu R.
        • Hata H.
        Methods for optimizing the display conditions of brain magnetic resonance images.
        Jpn J Radiol. 2017; 35: 622-627
        • Yoshimoto T.
        • Inoue M.
        • Yamagami H.
        • et al.
        Use of diffusion-weighted imaging-Alberta stroke program early computed tomography score (DWI-ASPECTS) and ischemic core volume to determine the malignant profile in acute stroke.
        J Am Heart Assoc. 2019; 8: e012558
        • Han M.
        • Choi J.W.
        • Rim N.J.
        • et al.
        Cerebral infarct volume measurements to improve patient selection for endovascular treatment.
        Medicine (Baltimore). 2016; 95: e4702
        • Cao Z.
        • Xu J.
        • Song B.
        • et al.
        Deep learning derived automated ASPECTS on non-contrast CT scans of acute ischemic stroke patients.
        Hum Brain Mapp. 2022; 43: 3023-3036
        • Xu X.Q.
        • Chu Y.
        • Shen G.C.
        • et al.
        Prognostic value of ASPECTS on post-treatment diffusion-weighted imaging for acute ischemic stroke patients after endovascular thrombectomy: comparison with infarction volume.
        Eur Radiol. 2022; 32: 8079-8088https://doi.org/10.1007/s00330-022-08888-z