Intracerebral hemorrhage markers on non-contrast computed tomography as predictors of the dynamic spot sign on CT perfusion and associations with hematoma expansion and outcome-Reference-Cited by-同舟云学术

Intracerebral hemorrhage markers on non-contrast computed tomography as predictors of the dynamic spot sign on CT perfusion and associations with hematoma expansion and outcome

Published:2022-09-09 Issue:11 Volume:64 Page:2135-2144
ISSN:0028-3940
Container-title:Neuroradiology
language:en
Short-container-title:Neuroradiology

Author:

Truong Michael Quangminh^ORCID,Metcalfe Andrew Viggo^ORCID,Ovenden Christopher Dillon,Kleinig Timothy John^ORCID,Barras Christen David^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s00234-022-03032-6.pdf

Reference27 articles.

1. Demchuk M et al (2012) “Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study”, (in eng). Lancet Neurol 11(4):307–314. https://doi.org/10.1016/s1474-4422(12)70038-8

2. Boulouis G et al (2016) “Association between hypodensities detected by computed tomography and hematoma expansion in patients with intracerebral hemorrhage”, (in eng). JAMA Neurol 73(8):961–968. https://doi.org/10.1001/jamaneurol.2016.1218

3. Broderick JP, Brott TG, Duldner JE, Tomsick T, Huster G (1993) “Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortality”, (in eng). Stroke 24(7):987–93. https://doi.org/10.1161/01.str.24.7.987

4. Davis SM et al (2006) “Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage”, (in eng). Neurology 66(8):1175–1181. https://doi.org/10.1212/01.wnl.0000208408.98482.99

5. Al-Shahi Salman R et al (2018) “Absolute risk and predictors of the growth of acute spontaneous intracerebral haemorrhage: a systematic review and meta-analysis of individual patient data”, (in eng). Lancet Neurol 17(10):885–894. https://doi.org/10.1016/s1474-4422(18)30253-9

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1. Machine learning for predicting hematoma expansion in spontaneous intracerebral hemorrhage: a systematic review and meta-analysis;Neuroradiology;2024-06-12

2. Value of Image Biomarkers Based on Dual-Energy Computed Tomography Angiography Material Separation Technique in Predicting Early Hematoma Expansion in Spontaneous Intracerebral Hemorrhage;World Neurosurgery;2023-12

3. Correction to: Intracerebral hemorrhage markers on non‑contrast computed tomography as predictors of the dynamic spot sign on CT perfusion and associations with hematoma expansion and outcome;Neuroradiology;2022-09-24