Clinicoradiological factors influencing the reversibility of posterior reversible encephalopathy syndrome: a multicenter study

Radiation Medicine - Tập 24 - Trang 659-668 - 2006
Ajaya R. Pande1, Kumiko Ando1, Reiichi Ishikura1, Yuki Nagami1, Yoshihiro Takada1, Akihiko Wada2, Yoshiyuki Watanabe3, Yukio Miki4, Akira Uchino5, Norio Nakao1
1Department of Radiology, Hyogo College of Medicine, Nishinomiya, Japan
2Faculty of Medicine, Shimane University, Izumo, Japan
3National Cardiovascular Center, Osaka, Japan
4Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
5Department of Radiology, Saga Medical School, Saga University, Saga, Japan

Tóm tắt

The aim of this retrospective study was to clarify the relation between the reversibility of posterior reversible encephalopathy syndrome (PRES) with three factors: the anatomical region of the brain involved, the background clinical cause, and the diffusion weighted image (DWI) intensity of PRES lesions. This multicenter study, conducted by the PRES Study Group of the Neuroradiology Workshop, involved 52 cases from 28 institutions. Initial and follow-up magnetic resonance imaging were compared regarding the reversibility of PRES lesions according to anatomical location and clinical background. Initial DWI and apparent diffusion coefficient (ADC) maps were reviewed in 20 cases. Reversibility was significantly lower (P < 0.01) in the brain stem (44%) and deep white matter (47%) compared to the other cortical and subcortical areas (76%–91%). The reversibility was greater in the eclampsia subgroup followed by the hypertension and chemotherapy subgroups. DWI, even with ADC maps, had limitations in predicting the outcome of PRES lesions. The typical cortical and subcortical PRES lesions showed reversibility, whereas the brain stem and deep white matter lesions showed less reversibility. PRES due to eclampsia showed maximum reversibility compared to hypertension- and drug-related PRES. DWI, even with ADC maps, had limitations in predicting the course of PRES.

Tài liệu tham khảo

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