Transient Ischemic Attack: Which Determines Diffusion-Weighted Image Positivity?

Autor: Hitoshi Terada, Tsuyoshi Ogata, Yosuke Aiba, Fuyuki Tateno, Ryuji Sakakibara, Takeki Nagao, Tomoya Nakatsuka, Tsutomu Inaoka
Rok vydání: 2019
Předmět:
Zdroj: Journal of Stroke and Cerebrovascular Diseases. 28:104397
ISSN: 1052-3057
DOI: 10.1016/j.jstrokecerebrovasdis.2019.104397
Popis: Aim of the study Diffusion-weighted image (DWI) of magnetic resonance imaging (MRI) can reveal high signal lesion in up to 50% of transient ischemic attack (TIA) patients. However, it is not well-known which factors determine developing DWI positivity. In order to answer this question, we analyzed factors relevant to DWI positivity in TIA patients. Methods We had 257 stroke patients at a university emergency/neurology wards. They were 140 men, 117 women, mean age 72 (45-88) years. Among them, 24 (9.3%) had TIA (14 men, 10 women, mean age 71 [58-82] years). All patients underwent a 1.5T MRI. In 24 TIA patients, we investigated the following parameters in relation with stroke maturation: ABCD 2 score, smoking habits, blood profile, HbA1C, dyslipidemia, coagulation factors, carotid echography, electrocardiography, cardiac echography, chest X-ray, neurological symptom/signs, imaging, and recurrence of neurological symptom on follow-up. Results In 24 TIA patients, 13 (54%) were DWI positive and 11 (46%) were DWI negative. After an extensive analysis, all parameters were not relevant to DWI positivity except for plasma osmolarity, i.e., plasma osmolarity in DWI positive cases (305.3 mOsm/l) is significantly higher than that in DWI negative cases (301.3 mOsm/l) (P = .0064). As for recurrence, 4 of 24 TIA patients recurred. They were 1 (9.0%) of 11 DWI negative cases and 3 (23.1%) of 13 DWI positive cases. Therefore, DWI positive cases recurred more frequently than DWI negative cases did, although it did not reach statistical significance. Conclusions TIA with DWI positivity in our institute was 54%, closely associated with initial dehydration and might predict stroke recurrence.
Databáze: OpenAIRE