Radiomics model based on dual-energy CT can determine the source of thrombus in strokes with middle cerebral artery occlusion.
Purpose: To develop thrombus radiomics models based on dual-energy CT (DECT) for predicting etiologic cause of stroke. Methods: We retrospectively enrolled patients with occlusion of the middle cerebral artery who underwent computed tomography (NCCT) and DECT angiography (DECTA). 70 keV virtual mono...
| Publicado en: | Neuroradiology Vol. 66; no. 10; pp. 1681 - 1692 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179873459&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179873459 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283940 NYZ jtl: Neuroradiology issn: 00283940 maglogo: N pubinfo: dt: Oct2024 vid: 66 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179873459 178351046 179873459 179873459 10.1007/s00234-024-03422-y 179873459 ppf: 1681 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Radiomics model based on dual-energy CT can determine the source of thrombus in strokes with middle cerebral artery occlusion. aug: au: Ma, Yuzhu Dai, Yao Zhao, Ying Song, Ziyang Hu, Chunhong Zhang, Yu affil: https://ror.org/04n3e7v86 Department of Radiology, The Fourth Affiliated Hospital of Soochow University, 215124, Suzhou, China sug: subj: Embolic Stroke Etiology Thrombosis Radiography Middle Cerebral Artery Pathology Arterial Occlusive Diseases Radiography Radiomics Tomography, X-Ray Computed Human Funding Source Retrospective Design Logistic Regression Computed Tomography Angiography Comparative Studies ROC Curve Decision Making, Clinical Calibration NIH Stroke Scale Scales Descriptive Statistics Atrial Fibrillation Radiography ab: Purpose: To develop thrombus radiomics models based on dual-energy CT (DECT) for predicting etiologic cause of stroke. Methods: We retrospectively enrolled patients with occlusion of the middle cerebral artery who underwent computed tomography (NCCT) and DECT angiography (DECTA). 70 keV virtual monoenergetic images (simulate conventional 120kVp CTA images) and iodine overlay maps (IOM) were reconstructed for analysis. Five logistic regression radiomics models for predicting cardioembolism (CE) were built based on the features extracted from NCCT, CTA and IOM images. From these, the best one was selected to integrate with clinical information for further construction of the combined model. The performance of the different models was evaluated and compared using ROC curve analysis, clinical decision curves (DCA), calibration curves and Delong test. Results: Among all the radiomic models, model NCCT+IOM performed the best, with AUC = 0.95 significantly higher than model NCCT, model CTA, model IOM and model NCCT+CTA in the training set (AUC = 0.88, 0.78, 0.90,0.87, respectively, P < 0.05), and AUC = 0.92 in the testing set, significantly higher than model CTA (AUC = 0.71, P < 0.05). Smoking and NIHSS score were independent predictors of CE (P < 0.05). The combined model performed similarly to the model NCCT+IOM, with no statistically significant difference in AUC either in the training or test sets. (0.96 vs. 0.95; 0.94 vs. 0.92, both P > 0.05). Conclusion: Radiomics models constructed based on NCCT and IOM images can effectively determine the source of thrombus in stroke without relying on clinical information. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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