Zhou Z, Yang Z, Jiang S et al (2022) Surgical navigation system for hypertensive intracerebral hemorrhage based on mixed reality. J Digit Imaging 35(6):1530–1543

Article  PubMed  PubMed Central  Google Scholar 

Lee H, Lee J, Jang J et al (2024) Predicting hematoma expansion in acute spontaneous intracerebral hemorrhage: integrating clinical factors with a multitask deep learning model for non-contrast head CT. Neuroradiology 66(4):577–587

Du C, Li Y, Yang M et al (2024) Prediction of hematoma expansion in intracerebral hemorrhage in 24 hours by machine learning algorithm. World Neurosurg 185(6):e475–e483

Article  PubMed  Google Scholar 

Soumah M, Brami J, Simonato D et al (2022) Computed tomography angiography for quantification of cerebral vasospasm following aneurysmal subarachnoid hemorrhage. Diagn Interv Imaging 103(3):161–169

Article  PubMed  Google Scholar 

Bergin B, Ragulojan M, Trivedi A et al (2023) Computed tomography angiography compared with computed tomography perfusion in the diagnosis of cerebral vasospasm: a systematic review and meta-analysis. World Neurosurg 170(8):e340–e350

Article  PubMed  Google Scholar 

Chinese Society of Neurology, Chinese Society of Neurology, Cerebrovascular Disease Group of the Chinese Medical Association (2020) China cerebrovascular disease imaging application guidelines 2019. Chin J Neurol 53(4):250–268

Google Scholar 

Li Q, Zhang G, Huang YJ et al (2015) Blend sign on computed tomography: novel and reliable predictor for early hematoma growth in patients with intracerebral hemorrhage. Stroke 46(8):2119–2123

Article  PubMed  Google Scholar 

Chinese Society of Neurosurgery of the Chinese Medical Association, Emergency Physicians Branch of the Chinese Medical Association, Cerebrovascular Disease Group of the Neurology Branch of the Chinese Medical Association (2020) Chinese multidisciplinary diagnosis and treatment guidelines for hypertensive cerebral haemorrhage. Chin J Neurosurg 36(8):757–770

Google Scholar 

Lusk JB, Quinones QJ, Staats JS et al (2022) Coupling hematoma evacuation with immune profiling for analysis of neuroinflammation after primary intracerebral hemorrhage: A pilot study. World Neurosurg 161(5):162–168

Article  PubMed  Google Scholar 

Kim YS, Jeong HG, Chae HY et al (2021) Mediation effects of mean Hounsfield unit on relationship between hemoglobin and expansion of intracerebral hemorrhage. Sci Rep 11(1):17236

Article  PubMed  PubMed Central  CAS  Google Scholar 

Guo DC, Gu J, He J et al (2022) External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from Noncontrast CT scans. BMC Med Imaging 22(1):45

Article  PubMed  PubMed Central  Google Scholar 

Peeters MTJ, Kort KJD, Houben R et al (2021) Dual-energy CT angiography improves accuracy of spot sign for predicting hematoma expansion in intracerebral hemorrhage. J Stroke 23(1):82–90

Article  PubMed  PubMed Central  Google Scholar 

Wu Fa Y, Yulin W, Tingting et al (2024) Influencing factors and nomogram prediction model of early hematoma expansion in primary cerebral hemorrhage. J PLA Med J 49(5):504–510

Google Scholar 

Li Q, Liu QJ, Yang WS et al (2017) Island sign: an imaging predictor for early hematoma expansion and poor outcome in patients with intracerebral hemorrhage. Stroke 48(11):3019–3025

Article  PubMed  Google Scholar 

Feng C, Ding Z, Lao Q et al (2024) Prediction of early hematoma expansion of spontaneous intracerebral hemorrhage based on deep learning radiomics features of Noncontrast computed tomography. Eur Radiol 34(5):2908–2920

Article  PubMed  Google Scholar 

Pantoni L (2010) Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol 9(7):689–701

Article  PubMed  Google Scholar 

Faraci FM, Heistad DD (1998) Regulation of the cerebral circulation: role of endothelium and potassium channels. Physiol Rev 78(1):53–97

Article  PubMed  CAS  Google Scholar 

Shen J, Guo F, Yang P, Xu F (2021) Influence of hypertension classification on hypertensive intracerebral hemorrhage location. J Clin Hypertens (Greenwich) 23(11):1992–1999

Article  PubMed  Google Scholar 

Smith EE, Nandigam KR, Chen YW et al (2010) MRI markers of small vessel disease in Lobar and deep hemispheric intracerebral hemorrhage. Stroke 41(9):1933–1938

Article  PubMed  PubMed Central  Google Scholar 

Boulouis G, Dumas A, Betensky RA et al (2014) Anatomic pattern of intracerebral hemorrhage expansion: relation to CT angiography spot sign and hematoma center. Stroke 45(4):1154–1156

Article  PubMed  PubMed Central  Google Scholar 

Chu H, Huang C, Tang Y et al (2022) The stress hyperglycemia ratio predicts early hematoma expansion and poor outcomes in patients with spontaneous intracerebral hemorrhage. Ther Adv Neurol Disord 19(15):1756–1758

Google Scholar 

Lu Huizhen L, Yifan TY et al (2022) Predictive value of plain CT signs for early hematoma expansion in hypertensive intracerebral hemorrhage. Chin J Clin Med Imaging 33(12):894–898

Google Scholar 

Min Xiaoli C, Quanming C (2020) Predictive value of CT mixed sign and CT angiography spot sign for hematoma expansion in acute cerebral hemorrhage. Chin J Cerebrovasc Dis 17(3):140–145

Google Scholar 

Wang Yeqing (2021) Relationship between CT angiography spot sign and hematoma expansion and functional prognosis in spontaneous cerebellar hemorrhage. Chin Med J 101(31):2453

Google Scholar 

Singh SD, Pasi M, Schreuder FHBM et al (2021) Computed tomography angiography spot sign, hematoma expansion, and functional outcome in spontaneous cerebellar intracerebral hemorrhage. Stroke 52(9):2902–2909

Article  PubMed  CAS  Google Scholar 

Berczeli M, Chang SM, Lumsden AB et al (2022) Imaging aortic intramural hematoma with blood pools using time-resolved, dynamic computed tomography angiography. J Vasc Surg 76(4):1087–1088

Article  PubMed  Google Scholar