Computed Tomography Based Score of Early Ischemic Changes Predicts Malignant Infarction

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Computed Tomography Based Score of Early Ischemic Changes Predicts Malignant Infarction. / Bechstein, Matthias; Meyer, Lukas; Breuel, Silke; Faizy, Tobias D; Hanning, Uta; van Horn, Noel; McDonough, Rosalie; Fiehler, Jens; Broocks, Gabriel.

In: FRONT NEUROL, Vol. 12, 669828, 2021.

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@article{ec95534f3a644c108db534a5e10a8011,
title = "Computed Tomography Based Score of Early Ischemic Changes Predicts Malignant Infarction",
abstract = "Background and Purpose: Identification of ischemic stroke patients at high risk of developing life-threatening malignant infarction at an early stage is critical to consider more rigorous monitoring and further therapeutic measures. We hypothesized that a score consisting of simple measurements of visually evident ischemic changes in non-enhanced CT (NEMMI score) predicts malignant middle cerebral artery (MCA) infarctions (MMI) with similar diagnostic power compared to other baseline clinical and imaging parameters. Methods: One hundred and nine patients with acute proximal MCA occlusion were included. Fifteen (13.8%) patients developed MMI. NEMMI score was defined using the sum of the maximum diameter (anterior-posterior plus medio-lateral) of the hypoattenuated lesion in baseline-CT multiplied by a hypoattenuation factor (3-point visual grading in non-enhanced CT, no/subtle/clear hypoattenuation = 1/2/3). Receiver operating characteristic (ROC) curve analysis and multivariable logistic regression analysis were used to calculate the predictive values of the NEMMI score, baseline clinical and other imaging parameters. Results: The median NEMMI score at baseline was 13.6 (IQR: 11.6-31.1) for MMI patients, and 7.7 (IQR: 3.9-11.2) for patients with non-malignant infarctions (p < 0.0001). Based on ROC curve analysis, a NEMMI score >10.5 identified MMI with good discriminative power (AUC: 0.84, sensitivity/specificity: 93.3/70.7%), which was higher compared to age (AUC: 0.76), NIHSS (AUC: 0.61), or ischemic core volume (AUC: 0.80). In multivariable logistic regression analysis, NEMMI score was significantly and independently associated with MMI (OR: 1.33, 95%CI: 1.13-1.56, p < 0.001), adjusted for recanalization status. Conclusion: The NEMMI score is a quick and simple rating tool of early ischemic changes on CT and could serve as an important surrogate marker for developing malignant edema. Its diagnostic accuracy was similar to CTP and clinical parameters.",
author = "Matthias Bechstein and Lukas Meyer and Silke Breuel and Faizy, {Tobias D} and Uta Hanning and {van Horn}, Noel and Rosalie McDonough and Jens Fiehler and Gabriel Broocks",
note = "Copyright {\textcopyright} 2021 Bechstein, Meyer, Breuel, Faizy, Hanning, van Horn, McDonough, Fiehler and Broocks.",
year = "2021",
doi = "10.3389/fneur.2021.669828",
language = "English",
volume = "12",
journal = "FRONT NEUROL",
issn = "1664-2295",
publisher = "Frontiers Research Foundation",

}

RIS

TY - JOUR

T1 - Computed Tomography Based Score of Early Ischemic Changes Predicts Malignant Infarction

AU - Bechstein, Matthias

AU - Meyer, Lukas

AU - Breuel, Silke

AU - Faizy, Tobias D

AU - Hanning, Uta

AU - van Horn, Noel

AU - McDonough, Rosalie

AU - Fiehler, Jens

AU - Broocks, Gabriel

N1 - Copyright © 2021 Bechstein, Meyer, Breuel, Faizy, Hanning, van Horn, McDonough, Fiehler and Broocks.

PY - 2021

Y1 - 2021

N2 - Background and Purpose: Identification of ischemic stroke patients at high risk of developing life-threatening malignant infarction at an early stage is critical to consider more rigorous monitoring and further therapeutic measures. We hypothesized that a score consisting of simple measurements of visually evident ischemic changes in non-enhanced CT (NEMMI score) predicts malignant middle cerebral artery (MCA) infarctions (MMI) with similar diagnostic power compared to other baseline clinical and imaging parameters. Methods: One hundred and nine patients with acute proximal MCA occlusion were included. Fifteen (13.8%) patients developed MMI. NEMMI score was defined using the sum of the maximum diameter (anterior-posterior plus medio-lateral) of the hypoattenuated lesion in baseline-CT multiplied by a hypoattenuation factor (3-point visual grading in non-enhanced CT, no/subtle/clear hypoattenuation = 1/2/3). Receiver operating characteristic (ROC) curve analysis and multivariable logistic regression analysis were used to calculate the predictive values of the NEMMI score, baseline clinical and other imaging parameters. Results: The median NEMMI score at baseline was 13.6 (IQR: 11.6-31.1) for MMI patients, and 7.7 (IQR: 3.9-11.2) for patients with non-malignant infarctions (p < 0.0001). Based on ROC curve analysis, a NEMMI score >10.5 identified MMI with good discriminative power (AUC: 0.84, sensitivity/specificity: 93.3/70.7%), which was higher compared to age (AUC: 0.76), NIHSS (AUC: 0.61), or ischemic core volume (AUC: 0.80). In multivariable logistic regression analysis, NEMMI score was significantly and independently associated with MMI (OR: 1.33, 95%CI: 1.13-1.56, p < 0.001), adjusted for recanalization status. Conclusion: The NEMMI score is a quick and simple rating tool of early ischemic changes on CT and could serve as an important surrogate marker for developing malignant edema. Its diagnostic accuracy was similar to CTP and clinical parameters.

AB - Background and Purpose: Identification of ischemic stroke patients at high risk of developing life-threatening malignant infarction at an early stage is critical to consider more rigorous monitoring and further therapeutic measures. We hypothesized that a score consisting of simple measurements of visually evident ischemic changes in non-enhanced CT (NEMMI score) predicts malignant middle cerebral artery (MCA) infarctions (MMI) with similar diagnostic power compared to other baseline clinical and imaging parameters. Methods: One hundred and nine patients with acute proximal MCA occlusion were included. Fifteen (13.8%) patients developed MMI. NEMMI score was defined using the sum of the maximum diameter (anterior-posterior plus medio-lateral) of the hypoattenuated lesion in baseline-CT multiplied by a hypoattenuation factor (3-point visual grading in non-enhanced CT, no/subtle/clear hypoattenuation = 1/2/3). Receiver operating characteristic (ROC) curve analysis and multivariable logistic regression analysis were used to calculate the predictive values of the NEMMI score, baseline clinical and other imaging parameters. Results: The median NEMMI score at baseline was 13.6 (IQR: 11.6-31.1) for MMI patients, and 7.7 (IQR: 3.9-11.2) for patients with non-malignant infarctions (p < 0.0001). Based on ROC curve analysis, a NEMMI score >10.5 identified MMI with good discriminative power (AUC: 0.84, sensitivity/specificity: 93.3/70.7%), which was higher compared to age (AUC: 0.76), NIHSS (AUC: 0.61), or ischemic core volume (AUC: 0.80). In multivariable logistic regression analysis, NEMMI score was significantly and independently associated with MMI (OR: 1.33, 95%CI: 1.13-1.56, p < 0.001), adjusted for recanalization status. Conclusion: The NEMMI score is a quick and simple rating tool of early ischemic changes on CT and could serve as an important surrogate marker for developing malignant edema. Its diagnostic accuracy was similar to CTP and clinical parameters.

U2 - 10.3389/fneur.2021.669828

DO - 10.3389/fneur.2021.669828

M3 - SCORING: Journal article

C2 - 34163425

VL - 12

JO - FRONT NEUROL

JF - FRONT NEUROL

SN - 1664-2295

M1 - 669828

ER -