Abstract #4218

Prediction of hemifacial spasm (HFS) re-appearing phenomenon after surgery in patients with HFS using DSC perfusion MRI

Geon-Ho Jahng¹, Seung Hoon Lim², Xiao-Yi Guo³, Hyug-Gi Kim⁴, Soonchan Park¹, Chang-Woo Ryu¹, and Wook Jin¹

¹Radiology, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, ²Neurosurgery, Kyung Hee University Hospital at Gangdong, Seoul, Korea, Republic of, ³Medicine, Kyung Hee University, Seoul, Korea, Republic of, ⁴Kyung Hee University Hospital, Seoul, Korea, Republic of

Synopsis

Keywords: Peripheral Nerves, Brain

Motivation: DSC MRI may provide clues to predict hemifacial spasm (HFS) re-appearing phenomenon after surgery (HFSrapas) after microvascular decompression (MVD).

Goal(s): To predict HFSrapas with DSC parameter indices using a machine learning analysis

Approach: Sixty patients who underwent MVD for HFS were enrolled. DSC parameters were used to predict HFSrapas using a ROC curve and machine learning methods.

Results: The rCBF value was significantly decreased in the reappearing group. The extraction fraction parameter was best predicted by the Navie Bayes (NB) model.

Impact: DSC perfusion MRI is a useful tool to predict HFS recurrence before intra-operation and helps neurosurgeons anticipate possible problems during MVD surgery.

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