Literature DB >> 28967295

Predictive Value of Leakage Signs for Pure Brain Contusional Hematoma Expansion.

Kimihiko Orito1, Masaru Hirohata1, Yukihiko Nakamura1, Masafumi Yamamoto1, Nobuyuki Takeshige1, Takachika Aoki1, Gohsuke Hattori1, Kiyohiko Sakata1, Yasuharu Takeuchi1, Hideaki Uzu2, Osamu Takasu2, Toshi Abe3, Yusuke Uchiyama3, Motohiro Morioka1.   

Abstract

Hematoma expansion is an important consideration in patients with traumatic brain injury (TBI). No precise methods are available, however, for predicting the expansion of TBI-related hematoma. We aimed to establish a more sensitive predictor for contusional hematoma expansion based on the presence of leakage signs on computed tomography angiography (CTA). Thirty-three patients with pure contusion were included in the analysis (age: 64.1 ± 20.6 years; 24 men and 7 women). We compared Hounsfield unit (HU) values within set regions of interest (diameter, 10 mm) between serial CTA phase and delayed-phase CT images (5 min after CTA phase). Positive leakage signs were defined as >10% increases in HU value. Hematoma expansion was determined using plain CT at 24 h in patients who did not undergo emergent surgery. Glasgow Coma Scale (GCS) scores measured at admission and 24 h after admission were also compared. Leakage signs predicted hematoma expansion with high specificity (100%) and sensitivity (92.8%). Patients with positive leakage signs had significant decreases in GCS scores 24 h after the scan (GCS change: positive group, -0.92 ± 0.59; negative group, 1.14 ± 0.82). Positive leakage signs were clearly associated with surgical hematoma removal. Five patients without hematoma who had positive leakage signs at admission exhibited significant expansion of hematomas 24 h later. Our results indicate that leakage signs had high sensitivity in the prediction of contusional hematoma expansion and were significantly associated with delayed neurological deterioration and the necessity of surgical removal.

Entities:  

Keywords:  hematoma expansion; leakage sign; traumatic brain contusions

Mesh:

Year:  2018        PMID: 28967295     DOI: 10.1089/neu.2017.5247

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  6 in total

1.  Quantification of Iodine Leakage on Dual-Energy CT as a Marker of Blood-Brain Barrier Permeability in Traumatic Hemorrhagic Contusions: Prediction of Surgical Intervention for Intracranial Pressure Management.

Authors:  U K Bodanapally; K Shanmuganathan; Y P Gunjan; G Schwartzbauer; R Kondaveti; T R Feiter
Journal:  AJNR Am J Neuroradiol       Date:  2019-11-14       Impact factor: 3.825

2.  Initial CT-based radiomics nomogram for predicting in-hospital mortality in patients with traumatic brain injury: a multicenter development and validation study.

Authors:  Rui-Zhe Zheng; Zhi-Jie Zhao; Xi-Tao Yang; Shao-Wei Jiang; Yong-de Li; Wen-Jie Li; Xiu-Hui Li; Yue Zhou; Cheng-Jin Gao; Yan-Bin Ma; Shu-Ming Pan; Yang Wang
Journal:  Neurol Sci       Date:  2022-02-24       Impact factor: 3.307

3.  Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion.

Authors:  Qingning Yang; Jun Sun; Yi Guo; Ping Zeng; Ke Jin; Chencui Huang; Jingxu Xu; Liran Hou; Chuanming Li; Junbang Feng
Journal:  Front Neurol       Date:  2022-06-14       Impact factor: 4.086

4.  Leakage sign for acute subdural hematoma in clinical treatment.

Authors:  Masafumi Yamamoto; Kimihiko Orito; Yukihiko Nakamura; Nobuyuki Takeshige; Munetake Yoshitomi; Yasuharu Takeuchi; Hideaki Uzu; Osamu Takasu; Toshi Abe; Shuichi Tanoue; Yuusuke Uchiyama; Motohiro Morioka
Journal:  Acta Neurochir (Wien)       Date:  2018-12-17       Impact factor: 2.216

5.  Radiological Parameters to Predict Hemorrhagic Progression of Traumatic Contusional Brain Injury.

Authors:  Lal Rehman; Ali Afzal; Hafiza Fatima Aziz; Sana Akbar; Asad Abbas; Raza Rizvi
Journal:  J Neurosci Rural Pract       Date:  2019 Apr-Jun

Review 6.  Contusion Progression Following Traumatic Brain Injury: A Review of Clinical and Radiological Predictors, and Influence on Outcome.

Authors:  Krishma Adatia; Virginia F J Newcombe; David K Menon
Journal:  Neurocrit Care       Date:  2021-02       Impact factor: 3.210

  6 in total

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