DocumentCode :
1934959
Title :
Estimation of Posterior Fossa Volume in Pediatric Patients with Chiari Malformations by the Cavalieri Principle
Author :
Cai, Chunquan ; Zhang, Qingjiang ; Shen, Changhong ; Yang, Weidong ; Shi, Ouyan
Author_Institution :
Dept. of Neurosurg., Gen. Hosp. of Tianjin Med. Univ., Tianjin
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
591
Lastpage :
595
Abstract :
Chiari malformations (CMs) involve pathological hindbrain abnormalities reported to be correlated with a hypoplastic posterior fossa. This study calculates posterior fossa volume estimate using MRI. A retrospective review was conducted on patients who were admitted to our hospital. Clinical and radiological assessments were performed. Posterior fossa volumes (PFV) and intracranial volumes (ICV) were measured from head MRI scans using the Cavalieri principle. Forty CMs patients with a mean age of 9.5 years were identified. The mean PFV/ICV ratio for all the CMs patients (0.103) was found to be statistically smaller than that of the control patients (0.132, p < 0.05). It was concluded that the combination of MRI with the Cavalieri principle is a direct and accurate technique that can be applied safely for estimating the PFV and ICV. The PFV/ICV ratio is a predictor of CMs for the development of symptoms and the decision to perform surgery in children.
Keywords :
biomedical MRI; brain; paediatrics; Cavalieri principle; MRI; chiari malformations; intracranial volumes; pathological hindbrain abnormalities; pediatric patients; posterior fossa volume; Biomedical engineering; Biomedical informatics; Collision mitigation; History; Hospitals; Magnetic resonance imaging; Neurosurgery; Pathology; Pediatrics; Surgery; Cavalieri principle; Chiari malformations; Estimation; Posterior fossa volumes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.73
Filename :
4548738
Link To Document :
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