Automated ASPECTS for multi-modality CT predict infarct extent and outcome in large-vessel occlusion stroke. Issue 143 (October 2021)
- Record Type:
- Journal Article
- Title:
- Automated ASPECTS for multi-modality CT predict infarct extent and outcome in large-vessel occlusion stroke. Issue 143 (October 2021)
- Main Title:
- Automated ASPECTS for multi-modality CT predict infarct extent and outcome in large-vessel occlusion stroke
- Authors:
- Cheng, XiaoQing
Shi, JiaQian
Wu, Hang
Dong, Zheng
Liu, Jia
Lu, MengJie
Zhou, ChangSheng
Liu, QuanHui
Su, XiaoQin
Shi, Zhao
Li, YingLe
Zhu, WuSheng
Lu, GuangMing - Abstract:
- Highlights: CTA-venous-ASPECTS is a reliable tool to predict the infarct extent and outcome. CTA-venous-ASPECTS facilitates treatment decisions after large vessel occlusion. Best sensitivity of mismatch-ASPECTS to predict good outcomes after treatment. Abstract: Purpose: This study aimed to use the automated Alberta Stroke Program Early CT Score (ASPECTS) software to assess the value of different CT modalities (non-contrast CT, CT angiography [CTA]-arterial, CTA-venous, and arterial- and venous-phase mismatch-ASPECTS) in predicting the final infarct extent and clinical outcome in large-vessel occlusion stroke. Methods: This retrospective study included patients with large-vessel occlusion stroke who underwent reperfusion therapy during 2015 to 2019. Correlations between different CT-ASPECTS modalities and follow-up CT-ASPECTS and outcome were determined using Spearman rank correlation coefficient. Receiver operating characteristic curve analysis was used to assess the ability of different CT-ASPECTS modalities to identify patients with good outcomes. Results: One hundred and thirty-five patients were included. We found almost-perfect correlation between CTA-venous-ASPECTS and follow-up CT-ASPECTS (r = 0.92; 95% CI: 0.89–0.95), better than that in other CT modalities. The 90-day modified Rankin scale (mRS) score substantially correlated with CTA-venous-ASPECTS (r = -0.64; 95% CI: −0.73 to −0.52). The ROC curve analysis showed CTA-venous-ASPECTS had the highest area under theHighlights: CTA-venous-ASPECTS is a reliable tool to predict the infarct extent and outcome. CTA-venous-ASPECTS facilitates treatment decisions after large vessel occlusion. Best sensitivity of mismatch-ASPECTS to predict good outcomes after treatment. Abstract: Purpose: This study aimed to use the automated Alberta Stroke Program Early CT Score (ASPECTS) software to assess the value of different CT modalities (non-contrast CT, CT angiography [CTA]-arterial, CTA-venous, and arterial- and venous-phase mismatch-ASPECTS) in predicting the final infarct extent and clinical outcome in large-vessel occlusion stroke. Methods: This retrospective study included patients with large-vessel occlusion stroke who underwent reperfusion therapy during 2015 to 2019. Correlations between different CT-ASPECTS modalities and follow-up CT-ASPECTS and outcome were determined using Spearman rank correlation coefficient. Receiver operating characteristic curve analysis was used to assess the ability of different CT-ASPECTS modalities to identify patients with good outcomes. Results: One hundred and thirty-five patients were included. We found almost-perfect correlation between CTA-venous-ASPECTS and follow-up CT-ASPECTS (r = 0.92; 95% CI: 0.89–0.95), better than that in other CT modalities. The 90-day modified Rankin scale (mRS) score substantially correlated with CTA-venous-ASPECTS (r = -0.64; 95% CI: −0.73 to −0.52). The ROC curve analysis showed CTA-venous-ASPECTS had the highest area under the curve (AUC: 0.82; 95% CI: 0.75–0.89; P < 0.001), followed by mismatch-ASPECTS (AUC: 0.75; 95% CI: 0.65–0.85; P < 0.001). When emphasizing the sensitivity for identifying patients with good outcomes, the best cut-off point of mismatch-ASPECTS was −3 with the highest sensitivity (91.30%). Conclusions: CTA-venous-ASPECTS is a reliable tool to predict the infarct extent and outcome. Furthermore, mismatch-ASPECTS may represent images in different angiographic phases and was sensitive for prognosis prediction. … (more)
- Is Part Of:
- European journal of radiology. Issue 143(2021)
- Journal:
- European journal of radiology
- Issue:
- Issue 143(2021)
- Issue Display:
- Volume 143, Issue 143 (2021)
- Year:
- 2021
- Volume:
- 143
- Issue:
- 143
- Issue Sort Value:
- 2021-0143-0143-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10
- Subjects:
- Stroke -- Artificial intelligence -- Computed tomography -- Middle cerebral artery occlusion -- Angiography
Medical radiology -- Periodicals
Radiology -- Periodicals
Radiologie médicale -- Périodiques
Medical radiology
Periodicals
616.075705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0720048X ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0720048X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0720048X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejrad.2021.109899 ↗
- Languages:
- English
- ISSNs:
- 0720-048X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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