Details

Autor(en) / Beteiligte

• Lin, Zengping
• Meng, Ziyu
• Wang, Tianyao
• Guo, Rong
• Zhao, Yibo
• Li, Yudu
• Bo, Bin
• Guan, Yue
• Liu, Jun
• Zhou, Hong
• Yu, Xin
• Lin, David J.
• Liang, Zhi‐Pei
• Nachev, Parashkev
• Li, Yao

Titel

Predicting the Onset of Ischemic Stroke With Fast High‐Resolution 3D MR Spectroscopic Imaging

Ist Teil von

• Journal of magnetic resonance imaging, 2023-09, Vol.58 (3), p.838-847

Ort / Verlag

Hoboken, USA: John Wiley & Sons, Inc

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Background Neurometabolite concentrations provide a direct index of infarction progression in stroke. However, their relationship with stroke onset time remains unclear. Purpose To assess the temporal dynamics of N‐acetylaspartate (NAA), creatine, choline, and lactate and estimate their value in predicting early (<6 hours) vs. late (6–24 hours) hyperacute stroke groups. Study Type Cross‐sectional cohort. Population A total of 73 ischemic stroke patients scanned at 1.8–302.5 hours after symptom onset, including 25 patients with follow‐up scans. Field Strength/Sequence A 3 T/magnetization‐prepared rapid acquisition gradient echo sequence for anatomical imaging, diffusion‐weighted imaging and fluid‐attenuated inversion recovery imaging for lesion delineation, and 3D MR spectroscopic imaging (MRSI) for neurometabolic mapping. Assessment Patients were divided into hyperacute (0–24 hours), acute (24 hours to 1 week), and subacute (1–2 weeks) groups, and into early (<6 hours) and late (6–24 hours) hyperacute groups. Bayesian logistic regression was used to compare classification performance between early and late hyperacute groups by using different combinations of neurometabolites as inputs. Statistical Tests Linear mixed effects modeling was applied for group‐wise comparisons between NAA, creatine, choline, and lactate. Pearson's correlation analysis was used for neurometabolites vs. time. P < 0.05 was considered statistically significant. Results Lesional NAA and creatine were significantly lower in subacute than in acute stroke. The main effects of time were shown on NAA (F = 14.321) and creatine (F = 12.261). NAA was significantly lower in late than early hyperacute patients, and was inversely related to time from symptom onset across both groups (r = −0.440). The decrease of NAA and increase of lactate were correlated with lesion volume (NAA: r = −0.472; lactate: r = 0.366) in hyperacute stroke. Discrimination was improved by combining NAA, creatine, and choline signals (area under the curve [AUC] = 0.90). Data Conclusion High‐resolution 3D MRSI effectively assessed the neurometabolite changes and discriminated early and late hyperacute stroke lesions. Evidence Level 1. Technical Efficacy Stage 2.