Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage

Objective: To derive and validate a location-specific radiomics score (Rad-score) based on noncontrast computed tomography for predicting poor deep and lobar spontaneous intracerebral hemorrhage (SICH) outcome.Methods: In total, 494 SICH patients from multiple centers were retrospectively reviewed....

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Autores principales:	Zhiming Zhou, Hongli Zhou, Zuhua Song, Yuanyuan Chen, Dajing Guo, Jinhua Cai
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	intracerebral hemorrhage prognosis radiomics computed tomography location Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/52d07c7ca3f64722a2e17204cb21d9b7
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spelling	oai:doaj.org-article:52d07c7ca3f64722a2e17204cb21d9b72021-12-01T02:20:54ZLocation-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage1662-453X10.3389/fnins.2021.766228https://doaj.org/article/52d07c7ca3f64722a2e17204cb21d9b72021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnins.2021.766228/fullhttps://doaj.org/toc/1662-453XObjective: To derive and validate a location-specific radiomics score (Rad-score) based on noncontrast computed tomography for predicting poor deep and lobar spontaneous intracerebral hemorrhage (SICH) outcome.Methods: In total, 494 SICH patients from multiple centers were retrospectively reviewed. Poor outcome was considered mRS 3–6 at 6 months. The Rad-score was derived using optimal radiomics features. The optimal location-specific Rad-score cut-offs for poor deep and lobar SICH outcomes were identified using receiver operating characteristic curve analysis. Univariable and multivariable analyses were used to determine independent poor outcome predictors. The combined models for deep and lobar SICH were constructed using independent predictors of poor outcomes, including dichotomized Rad-score in the derivation cohort, which was validated in the validation cohort.Results: Of 494 SICH patients, 392 (79%) had deep SICH, and 373 (76%) had poor outcomes. The Glasgow Coma Scale score, haematoma enlargement, haematoma location, haematoma volume and Rad-score were independent predictors of poor outcomes (all P < 0.05). Cut-offs of Rad-score, 82.90 (AUC = 0.794) in deep SICH and 80.77 (AUC = 0.823) in lobar SICH, were identified for predicting poor outcomes. For deep SICH, the AUCs of the combined model were 0.856 and 0.831 in the derivation and validation cohorts, respectively. For lobar SICH, the combined model AUCs were 0.866 and 0.843 in the derivation and validation cohorts, respectively.Conclusion: Location-specific Rad-scores and combined models can identify subjects at high risk of poor deep and lobar SICH outcomes, which could improve clinical trial design by screening target patients.Zhiming ZhouZhiming ZhouHongli ZhouZuhua SongYuanyuan ChenDajing GuoJinhua CaiJinhua CaiJinhua CaiFrontiers Media S.A.articleintracerebral hemorrhageprognosisradiomicscomputed tomographylocationNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Neuroscience, Vol 15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	intracerebral hemorrhage prognosis radiomics computed tomography location Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	intracerebral hemorrhage prognosis radiomics computed tomography location Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Zhiming Zhou Zhiming Zhou Hongli Zhou Zuhua Song Yuanyuan Chen Dajing Guo Jinhua Cai Jinhua Cai Jinhua Cai Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
description	Objective: To derive and validate a location-specific radiomics score (Rad-score) based on noncontrast computed tomography for predicting poor deep and lobar spontaneous intracerebral hemorrhage (SICH) outcome.Methods: In total, 494 SICH patients from multiple centers were retrospectively reviewed. Poor outcome was considered mRS 3–6 at 6 months. The Rad-score was derived using optimal radiomics features. The optimal location-specific Rad-score cut-offs for poor deep and lobar SICH outcomes were identified using receiver operating characteristic curve analysis. Univariable and multivariable analyses were used to determine independent poor outcome predictors. The combined models for deep and lobar SICH were constructed using independent predictors of poor outcomes, including dichotomized Rad-score in the derivation cohort, which was validated in the validation cohort.Results: Of 494 SICH patients, 392 (79%) had deep SICH, and 373 (76%) had poor outcomes. The Glasgow Coma Scale score, haematoma enlargement, haematoma location, haematoma volume and Rad-score were independent predictors of poor outcomes (all P < 0.05). Cut-offs of Rad-score, 82.90 (AUC = 0.794) in deep SICH and 80.77 (AUC = 0.823) in lobar SICH, were identified for predicting poor outcomes. For deep SICH, the AUCs of the combined model were 0.856 and 0.831 in the derivation and validation cohorts, respectively. For lobar SICH, the combined model AUCs were 0.866 and 0.843 in the derivation and validation cohorts, respectively.Conclusion: Location-specific Rad-scores and combined models can identify subjects at high risk of poor deep and lobar SICH outcomes, which could improve clinical trial design by screening target patients.
format	article
author	Zhiming Zhou Zhiming Zhou Hongli Zhou Zuhua Song Yuanyuan Chen Dajing Guo Jinhua Cai Jinhua Cai Jinhua Cai
author_facet	Zhiming Zhou Zhiming Zhou Hongli Zhou Zuhua Song Yuanyuan Chen Dajing Guo Jinhua Cai Jinhua Cai Jinhua Cai
author_sort	Zhiming Zhou
title	Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
title_short	Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
title_full	Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
title_fullStr	Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
title_full_unstemmed	Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
title_sort	location-specific radiomics score: novel imaging marker for predicting poor outcome of deep and lobar spontaneous intracerebral hemorrhage
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/52d07c7ca3f64722a2e17204cb21d9b7
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Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage

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