Hematoma morphology analysis on predicting and diagnosis hematoma expansion in patients With Spontaneous Intracerebral Hemorrhage / 中华急诊医学杂志

ABSTRACT

Objective:To obtain the parameters associated with hematoma morpholoy by finite element analysis(FEA) and investigated their performance on predicting and diagnosis hematoma expansion(HE) in patients with spontaneous intracrebral hemorrhage(SICH).Methods:Patients with SICH who met research criteria were retrospective enrolled between June 2015 and December 2017. Clinical parameters on admission were collected, Perform 2 independent methodology on same patient to analysis the hematoma shape base on computed tomography(CT) Clinical routine method that performed by clinical investigator to identified margin irregularity of hematoma by CT ,and calculated the volume of hematoma by simplify Tada formula(ABC/2);The FEA method performed by FEA investigator and gain the hematoma 3 dimensional morphology and variables, include Volume, Surface area, and The quantity of triangles per square milimet surface(TQOT/mm 2). The HE was defined as volume enlargement of >33% compared with that on addmission. All patients were divided into HE and none HE group ,respectively, ABC/2 and FEA generated thire own HE and none HE group as different volume calcuation. The HE risk factors of ABC/2 and FEA were assessed in univariate and multivariable Logistic regression models. and the risk fators diagnosis value for HE were determined by the receiver operating characteristic(ROC) curves. Results:Total of 127 patients were enrolled, The mean time of symptom onset to hospital admitted was 3.08±1.34 h. There were 34(26.77%) cases HE identifed by ABC/2 and 31(24.41%)by FEA. Althought there are significant different (pearson χ2=53.66, P<0.01) of HE identification between ABC/2 and FEA, the 2 methods has moderate consistency (Kappa=0.65). All patients’ hematoma 3D reconstruction were performed by FEA and general observation show that TQOT/mm 2 most likely correlate to irregularity of hematoma 3D shape. Multivariable Logistic regression models indicated that ICH score( OR=1.79, 95% CI1.19~2.68)was independent HE risk factor for ABC/2, respectively, TQOT/mm 2≥1.95/mm 2 ( OR=16.99,95% CI5.98~48.33)and Ultraearly Hematoma Growth,(uHG) ( OR=1.05, 95% CI1.01~1.09)were independent HE risk factor for FEA. With ROC analysis, both the ICH score of ABC/2 and uHG of FEA have low HE predictive and diagnosis value ,the area under the curve (AUC) were 0.64 and 0.67 respectively. However, TQOT/mm 2 was found to have excellent diagnosis value (AUC0.9), sensitivity and specificity were 77% and 83% when the cut-off value was 1.95. Panel parameter model (TQOT/mm 2+uHG) was not be found to have a significant higher AUC than single parameter on FEA and the clinical routine parameters panel model (ICH +SB P>180 mmHg on addmission) have a unacceptable AUC(<0.7) as well as single parameters. Conclusions:Hematoma shape could be reconstructed and analysis by FEA and TQOT/mm 2 was likely relevance to hematoma morphology. TQOT/mm 2≥1.95 was indicate to have a better HE predicting and diagnosis value than any other risk factors and clinical parameters panel models in our reaserch.