CT Perfusion Derived rCBV < 42% Lesion Volume Is Independently Associated with Followup FLAIR Infarct Volume in Anterior Circulation Large Vessel Occlusion.
Dhairya A LakhaniAneri B BalarHamza Adel SalimManisha KoneruSijin WenBurak Berksu OzkaraHanzhang LuRichard C WangMeisam HoseinyazdiRisheng XuMehreen NabiIshan MazumdarAndrew ChoKevin ChenSadra SepehriNathan HysonVictor UrrutiaLicia LunaArgye Elizabeth HillisJeremy J HeitGregory W AlbersAnsaar T RaiAdam Andrew DmytriwTobias Djamsched FaizyMax WintermarkKambiz NaelVivek Srikar YedavalliPublished in: Diagnostics (Basel, Switzerland) (2024)
Pretreatment CT Perfusion (CTP) parameter rCBV < 42% lesion volume has recently been shown to predict 90-day mRS. In this study, we aim to assess the relationship between rCBV < 42% and a radiographic follow-up infarct volume delineated on FLAIR images. In this retrospective evaluation of our prospectively collected database, we included acute stroke patients triaged by multimodal CT imaging, including CT angiography and perfusion imaging, with confirmed anterior circulation large vessel occlusion between 9 January 2017 and 10 January 2023. Follow-up FLAIR imaging was used to determine the final infarct volume. Student t, Mann-Whitney-U, and Chi-Square tests were used to assess differences. Spearman's rank correlation and linear regression analysis were used to assess associations between rCBV < 42% and follow-up infarct volume on FLAIR. In total, 158 patients (median age: 68 years, 52.5% female) met our inclusion criteria. rCBV < 42% (ρ = 0.56, p < 0.001) significantly correlated with follow-up-FLAIR infarct volume. On multivariable linear regression analysis, rCBV < 42% lesion volume (beta = 0.60, p < 0.001), ASPECTS (beta = -0.214, p < 0.01), mTICI (beta = -0.277, p < 0.001), and diabetes (beta = 0.16, p < 0.05) were independently associated with follow-up infarct volume. The rCBV < 42% lesion volume is independently associated with FLAIR follow-up infarct volume.
Keyphrases
- acute myocardial infarction
- computed tomography
- contrast enhanced
- type diabetes
- emergency department
- chronic kidney disease
- cardiovascular disease
- adipose tissue
- magnetic resonance imaging
- end stage renal disease
- magnetic resonance
- machine learning
- coronary artery disease
- newly diagnosed
- image quality
- deep learning
- metabolic syndrome
- cross sectional
- photodynamic therapy
- mass spectrometry
- liver failure
- tyrosine kinase
- pain management
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation