Whole-brain 320-detector row dynamic volume CT perfusion detected crossed cerebellar diaschisis after spontaneous intracerebral hemorrhage

INTRODUCTION: The purpose of this study was to evaluate the value of 320-detector row CT used to detect crossed cerebellar diaschisis (CCD) in patients with unilateral supratentorial spontaneous intracerebral hemorrhage (SICH).

METHODS: We investigated 62 of 156 patients with unilateral supratentorial SICH using 320-detector row CT scanning. Regional cerebral blood flow (rCBF), cerebral blood volume (rCBV), mean transit time (rMTT), and time to peak (rTTP) levels were measured in different regions of interest (ROIs) that were manually outlined on computed tomography perfusion (CTP) for the cerebrum, including normal-appearing brain tissue that surrounded the perilesional low-density area (NA) and the perihematomal low-density area (PA) in all patients and the cerebellum (ipsilateral and contralateral) in CCD-positive patients.

RESULTS: Of 62 cases, a total of 14 met the criteria for CCD due to cerebellar perfusion asymmetry on CTP maps. In the quantitative analysis, significant differences were found in the perfusion parameters between the contralateral and ipsilateral cerebellum in CCD-positive cases. No significant differences were found between the CCD-positive group and the CCD-negative group according to the hematoma volume, NIHSS scores, and cerebral perfusion abnormality (each P > 0.05). The correlation analysis of the degree of NA, PA perfusion abnormality, and the degree of CCD severity showed negative and significant linear correlations (R, -0.66∼-0.56; P < 0.05).

CONCLUSION: 320-detector row CT is a robust and practicable method for the comprehensive primary imaging work-up of CCD in unilateral supratentorial SICH patients.

Medienart:

E-Artikel

Erscheinungsjahr:

2015

Erschienen:

2015

Enthalten in:

Zur Gesamtaufnahme - volume:57

Enthalten in:

Neuroradiology - 57(2015), 2 vom: 08. Feb., Seite 179-87

Sprache:

Englisch

Beteiligte Personen:

Fu, Jun [VerfasserIn]
Chen, Wei-jian [VerfasserIn]
Wu, Gui-yun [VerfasserIn]
Cheng, Jing-liang [VerfasserIn]
Wang, Mei-hao [VerfasserIn]
Zhuge, Qichuan [VerfasserIn]
Li, Jian-ce [VerfasserIn]
Zhang, Qian [VerfasserIn]
Zhang, Yong [VerfasserIn]
Xia, Neng-zhi [VerfasserIn]
Yang, Yun-jun [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 23.11.2015

Date Revised 13.11.2018

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s00234-014-1456-6

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM243398344