| Literature DB >> 30560375 |
Masafumi Yamamoto1, Kimihiko Orito2, Yukihiko Nakamura2, Nobuyuki Takeshige2, Munetake Yoshitomi2, Yasuharu Takeuchi2, Hideaki Uzu3, Osamu Takasu3, Toshi Abe4, Shuichi Tanoue4, Yuusuke Uchiyama4, Motohiro Morioka2.
Abstract
BACKGROUND: Acute subdural hematoma (ASDH) is a serious traumatic disease, and predictive methods for hematoma growth are necessary to decide whether emergent operation is necessary. This study aimed to evaluate the incidence of "leakage" using computed tomography angiography (CTA) in patients with ASDH and to identify its prognostic value.Entities:
Keywords: Computed tomography angiography; Hematoma expansion; Leakage sign; Subdural hematoma
Mesh:
Year: 2018 PMID: 30560375 PMCID: PMC6373242 DOI: 10.1007/s00701-018-3755-x
Source DB: PubMed Journal: Acta Neurochir (Wien) ISSN: 0001-6268 Impact factor: 2.216
Fig. 1The definition of leakage sign and the clinical examination process used in this study was based on computed tomography angiography (CTA) and delayed phase CT images. The region of interest (ROI; 10-mm diameter) was placed on the delayed phase images to identify leakage of the contrast medium into the hematoma. Hounsfield unit (HU) values in the ROI were determined in each section of the CTA and delayed phase images, and a > 10% increase in HU was considered as a positive leakage sign
Baseline clinical and radiologic characteristics
| Characteristic | Total ( | Leakage sign (+) ( | Leakage sign (−) ( | ||||
|---|---|---|---|---|---|---|---|
| % |
| % |
| % | |||
| Mean age | 72.1 ± 16.3 | 70.7 ± 17.7 | 75.3 ± 12.8 | 0.2379 | |||
| Sex (male) | 39 | 58.0 | 28 | 83 | 11 | 48 | 0.2974 |
| Mean admission blood pressure (mmHg) | |||||||
| Systolic | 148.0 ± 30.0 | 146.8 ± 33.1 | 150.5 ± 22.9 | 0.6437 | |||
| Diastolic | 83.1 ± 19.6 | 81.9 ± 20.4 | 85.5 ± 18.1 | 0.4874 | |||
| Mean admission GCS | 9 ± 4.8 | 7.7 ± 4.8 | 11.4 ± 3.9 | 0.0022* | |||
| History of hypertension | 27 | 41.0 | 11 | 25 | 16 | 72 | 0.004* |
| Lab data at admission | |||||||
| Mean admission platelet count | 15.1 ± 5.2 | 14.6 ± 5.3 | 16.2 ± 5.0 | 0.2385 | |||
| Mean admission INR | 1.31 ± 0.61 | 1.33 ± 0.51 | 1.26 ± 0.77 | 0.6675 | |||
| Mean admission aPTT | 33.6 ± 15.2 | 34.2 ± 2.3 | 32.4 ± 3.1 | 0.6375 | |||
| Altered coagulation | 9 | 13.4 | 6 | 13.6 | 3 | 13 | 1 |
| Antiplatelet therapy | 10 | 14.9 | 6 | 13.6 | 4 | 17.4 | 0.7263 |
*P < 0.05
Fig. 2Patient flow in this study
No-surgery group
| Leakage sign | LS (+) | LS (−) | Total | Sensitivity | |
|---|---|---|---|---|---|
| Hematoma expansion | (+) | 8 | 1 | 9 | 88.8% |
| (−) | 5 | 16 | 21 | Specificity | |
| Total | 13 | 17 | 30 | 76.1% |
Fig. 3Relationship between change in hematoma size and leakage sign. Change in hematoma size during the 24-h period after admission, as assessed using imaging studies for leakage signs
Fig. 4Relationship between change in hematoma size and leakage sign. Dot blot analysis, with the x-axis indicating change in hematoma size 24 h later and the y-axis indicating the interval from onset to first CT scan (time in minutes)
Fig. 5Association between outcome and leakage sign