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Prognostication of cardiac arrest survivors using low apparent diffusion coefficient cluster volume

Cited 8 time in Web of Science Cited 7 time in Scopus
Authors
Kim, Joonghee; Kim, Joonghee; Kim, Kyuseok; Suh, Gil Joon; Kwon, Woon Yong; Shin, Jonghwan; Lee, Huijai; Choi, Sang-Cheon; Yun, Il Dong; Choi, Byung Se; Jung, Cheolkyu; Jo, You Hwan; Kim, Taeyun; Lee, Jae Hyuk; Kim, Yu jin; Ha, Chulmin; Kim, Kyung Su
Issue Date
2016-03
Publisher
ELSEVIER IRELAND LTD
Citation
Resuscitation, Vol.100, pp. 18-24
Keywords
Prognostication of cardiac arrest survivors using low apparent diffusion coefficient cluster volume의약학Cardiac arrestBrain ischemiaComaMagnetic resonance imagingPrognosisComputer-assisted image analyses
Abstract
Introduction

We developed a new neuroprognostication method for cardiac arrest (CA) using the relative volume of the most dominant cluster of low apparent diffusion coefficient (ADC) voxels and tested its performance in a multicenter setting.

Methods

Adult (>15 years) out-of-hospital CA patients from three different facilities who underwent an MRI 12 h after resuscitation were retrospectively analyzed. Patients with unknown long-term prognosis or poor baseline neurologic function were excluded. Average ADCs (mean and median), LADCV (relative volume of low-ADC voxels) and DC-LADCV (relative volume of most dominant cluster of low-ADC voxels) were extracted using different thresholds between 400 and 800 × 10−6 mm2 s−1 at 10 × 10−6 mm2 s−1 intervals. Area under the receiver operating characteristic curve (AUROC) and sensitivity for poor outcome (6-month cerebral performance category score >2) while maintaining 100% specificity were measured.

Results

110 patients were analyzed. Average ADCs showed fair performance with an AUROC of 0.822 (95% confidence interval [CI], 0.744–0.900) for the mean and 0.799 (95% CI, 0.716–0.882) for the median. LADCV showed better performance with a higher AUROC (maximum, 0.925) in an ADC threshold range of 400 to 690 × 10−6 mm2 s−1. DC-LADCV showed the best performance with a higher AUROC (maximum, 0.955) compared with LADCV in an ADC threshold range of 600 to 680 × 10−6 mm2 s−1. DC-LADCV had a high sensitivity for poor outcomes (>80%) in a wide threshold range from 400 to 580 × 10−6 mm2 s−1 with a maximum of 89.2%.

Conclusions

Quantitative analysis using DC-LADCV showed impressive performance in determining the prognosis of out-of-hospital CA patients in a multicenter setting.
ISSN
0300-9572
Language
English
URI
http://hdl.handle.net/10371/116925
DOI
https://doi.org/10.1016/j.resuscitation.2015.12.013
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College of Medicine/School of Medicine (의과대학/대학원)Emergency Medicine (응급의학전공)Journal Papers (저널논문_응급의학전공)
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