Comparison of EPI DWI and STEAM DWI in Early Postoperative MRI Controls After Resection of Tumors of the Central Nervous System.
Clin Neuroradiol
; 33(3): 677-685, 2023 Sep.
Article
in En
| MEDLINE
| ID: mdl-36732415
PURPOSE: Diffusion-weighted imaging (DWI) is important for differentiating residual tumor and subacute infarctions in early postoperative magnetic resonance imaging (MRI) of central nervous system (CNS) tumors. In cases of pneumocephalus and especially in the presence of intraventricular trapped air, conventional echo-planar imaging (EPI) DWI is distorted by susceptibility artifacts. The performance and robustness of a newly developed DWI sequence using the stimulated echo acquisition mode (STEAM) was evaluated in patients after neurosurgical operations with early postoperative MRI. METHODS: We compared EPI and STEAM DWI of 43 patients who received 3Tesla MRI within 72â¯h after a neurosurgical operation between 1 October 2019 and 30 September 2021. We analyzed susceptibility artifacts originating from air and blood and whether these artifacts compromised the detection of ischemic changes after surgery. The DWI sequences were (i) visually rated and (ii) volumetrically analyzed. RESULTS: In 28 of 43 patients, we found severe and diagnostically relevant artifacts in EPI DWI, but none in STEAM DWI. In these cases, in which artifacts were caused by intracranial air, they led to a worse detection of ischemic lesions and thus to a possible failed diagnosis or lack of judgment using EPI DWI. Additionally, volumetric analysis demonstrated a 14% smaller infarct volume detected with EPI DWI. No significant differences in visual rating and volumetric analysis were detected among the patients without severe artifacts. CONCLUSION: The newly developed version of STEAM DWI with highly undersampled radial encodings is superior to EPI DWI in patients with postoperative pneumocephalus.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pneumocephalus
/
Neoplasms
Limits:
Humans
Language:
En
Journal:
Clin Neuroradiol
Journal subject:
NEUROLOGIA
/
RADIOLOGIA
Year:
2023
Type:
Article
Affiliation country:
Germany