Literature DB >> 28678670

Multiphase CT Angiography Improves Prediction of Intracerebral Hemorrhage Expansion.

David Rodriguez-Luna1, Pilar Coscojuela1, Noelia Rodriguez-Villatoro1, Jesús M Juega1, Sandra Boned1, Marián Muchada1, Jorge Pagola1, Marta Rubiera1, Marc Ribo1, Alejandro Tomasello1, Andrew M Demchuk1, Mayank Goyal1, Carlos A Molina1.   

Abstract

Purpose To determine the prevalence of the spot sign and the accuracy of using the spot sign to predict intracerebral hemorrhage (ICH) expansion with standardized multiphase computed tomographic (CT) angiography. Materials and Methods This prospective observational cohort study included 123 consecutive patients with acute ICH (onset <6 hours). Patients underwent multiphase CT angiography in three automated phases after injection of contrast material. Patients were classified as having one of four patterns (pattern A, B, C, or D) according to the presence of the spot sign in the three phases. Pattern A was the more arterial pattern, and pattern D was the more venous pattern. Ninety-five patients underwent follow-up unenhanced CT 24 hours after symptom onset. Primary outcome was substantial hematoma expansion (>33% or >6 mL) at 24 hours. Associations between the presence of the spot sign and substantial hematoma expansion were assessed by using the Pearson χ2 test. Results The later the phase of CT angiography, the higher the frequency of the spot sign. The spot sign was seen in 29.3% of patients in phase 1, 43.1% of patients in phase 2, and 46.3% of patients in phase 3 (P < .001). The presence of the spot sign in any phase was related to substantial hematoma expansion (P < .001 for all comparisons; Bonferroni adjusted α = .0125), with highest positive predictive value in phase 1 (64.0%) and highest negative predictive value in phase 2 (90.2%). The more arterial the pattern of spot sign presentation, the greater the frequency of substantial hematoma expansion (P = .013). Absolute hematoma growth analysis revealed a hierarchical pattern of spot sign presentations, as follows: A > B > C > D > no spot sign (P = .002). Conclusion Multiphase CT angiography can help differentiate among different forms of spot sign presentation and can help stratify patients at risk for hematoma expansion. The more arterial the spot sign pattern, the greater the frequency and extent of expansion. © RSNA, 2017.

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Year:  2017        PMID: 28678670     DOI: 10.1148/radiol.2017162839

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  Iodine concentration: a new, important characteristic of the spot sign that predicts haematoma expansion.

Authors:  Fan Fu; Shengjun Sun; Liping Liu; Jianying Li; Yaping Su; Yingying Li
Journal:  Eur Radiol       Date:  2018-04-19       Impact factor: 5.315

2.  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.

Authors:  Michael Quangminh Truong; Andrew Viggo Metcalfe; Christopher Dillon Ovenden; Timothy John Kleinig; Christen David Barras
Journal:  Neuroradiology       Date:  2022-09-09       Impact factor: 2.995

3.  Integration of Computed Tomographic Angiography Spot Sign and Noncontrast Computed Tomographic Hypodensities to Predict Hematoma Expansion.

Authors:  Andrea Morotti; Gregoire Boulouis; Andreas Charidimou; Kristin Schwab; Christina Kourkoulis; Christopher D Anderson; M Edip Gurol; Anand Viswanathan; Javier M Romero; Steven M Greenberg; Jonathan Rosand; Joshua N Goldstein
Journal:  Stroke       Date:  2018-09       Impact factor: 7.914

4.  Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

Authors:  Jinjin Liu; Haoli Xu; Qian Chen; Tingting Zhang; Wenshuang Sheng; Qun Huang; Jiawen Song; Dingpin Huang; Li Lan; Yanxuan Li; Weijian Chen; Yunjun Yang
Journal:  EBioMedicine       Date:  2019-05-03       Impact factor: 8.143

5.  Dual-Energy CT Angiography Improves Accuracy of Spot Sign for Predicting Hematoma Expansion in Intracerebral Hemorrhage.

Authors:  Michaël T J Peeters; Kim J D de Kort; Rik Houben; Wouter J P Henneman; Robert J van Oostenbrugge; Julie Staals; Alida A Postma
Journal:  J Stroke       Date:  2021-01-31       Impact factor: 6.967

6.  Convolutional Neural Network in Microsurgery Treatment of Spontaneous Intracerebral Hemorrhage.

Authors:  Xiaoqiang Wu; Dan Chen
Journal:  Comput Math Methods Med       Date:  2022-08-09       Impact factor: 2.809

7.  Deep learning-based computed tomography image segmentation and volume measurement of intracerebral hemorrhage.

Authors:  Qi Peng; Xingcai Chen; Chao Zhang; Wenyan Li; Jingjing Liu; Tingxin Shi; Yi Wu; Hua Feng; Yongjian Nian; Rong Hu
Journal:  Front Neurosci       Date:  2022-10-03       Impact factor: 5.152

8.  Development and validation of a clinical-radiomics nomogram for predicting a poor outcome and 30-day mortality after a spontaneous intracerebral hemorrhage.

Authors:  Yuanliang Xie; Faxiang Chen; Hui Li; Yan Wu; Hua Fu; Qing Zhong; Jun Chen; Xiang Wang
Journal:  Quant Imaging Med Surg       Date:  2022-10

9.  Prevalence and the predictive performance of the dynamic CT-angiography spot sign in an observational cohort with intracerebral hemorrhage.

Authors:  Dar Dowlatshahi; Hee Sahng Chung; Michael Reaume; Matthew J Hogan; Dylan Blacquiere; Grant Stotts; Michel Shamy; Franco Momoli; Richard Aviv; Andrew M Demchuk; Santanu Chakraborty
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

10.  Tranexamic acid for acute intracerebral haemorrhage growth based on imaging assessment (TRAIGE): a multicentre, randomised, placebo-controlled trial.

Authors:  Liping Liu; Yongjun Wang; Jingyi Liu; Ximing Nie; Hongqiu Gu; Qi Zhou; Haixin Sun; Ying Tan; Dacheng Liu; Lina Zheng; Jiahui Zhao; Yan Wang; Yibin Cao; Haomeng Zhu; Yunpeng Zhang; Lijin Yi; Yuehua Pu; Miao Wen; Zhonghua Yang; Shengjun Sun; Wenzhi Wang; Xingquan Zhao
Journal:  Stroke Vasc Neurol       Date:  2021-04-01
  10 in total

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