Z-score-based semi-quantitative analysis of the volume of the temporal horn of the lateral ventricle on brain CT images

• Published in: Radiological physics and technology Vol. 9; no. 1; pp. 69 - 76
• Main Authors: Takahashi, Noriyuki, Kinoshita, Toshibumi, Ohmura, Tomomi, Lee, Yongbum, Matsuyama, Eri, Toyoshima, Hideto, Tsai, Du-Yih
• Format: Journal Article
• Language: English
• Published: Tokyo Springer Japan 01.01.2016
• Subjects: Adult; Aged; Aged, 80 and over; Cerebral Ventriculography; Female; Humans; Imaging; Lateral Ventricles - anatomy & histology; Lateral Ventricles - diagnostic imaging; Male; Medical and Radiation Physics; Medicine; Medicine & Public Health; Middle Aged; Nuclear Medicine; Organ Size; Radiology; Radiotherapy; Tomography, X-Ray Computed; score; Temporal horn; Computed tomography; score mapping; Voxel-based morphometry; Z score; Z-score mapping
• ISSN: 1865-0333; 1865-0341
• DOI: 10.1007/s12194-015-0335-0

The volume of the temporal horn of the lateral ventricle (THLV) on brain computed tomography (CT) images is important for neurologic diagnosis. Our purpose in this study was to develop a z -score-based semi-quantitative analysis for estimation of the THLV volume by using voxel-based morphometry. The THLV volume was estimated by use of a z -score mapping method that consisted of four main steps: anatomic standardization, construction of a normal reference database, calculation of the z score, and calculation of the mean z score in a volume of interest (VOI). A mean z score of the CT value obtained from a VOI around the THLV was used as an index for the THLV volume. CT scans from 50 subjects were evaluated. For evaluation of the accuracy of this method for estimating the THLV volume, the THLV volume was determined manually by neuroradiologists (serving as the reference volume). A mean z score was calculated from the VOI for each THLV of the 50 subjects by use of the proposed method. The accuracy of this method was evaluated by use of the relationship between the mean z score and the reference volume. The quadratic polynomial regression equation demonstrated a statistically significant correlation between the mean z score and the reference volume of the THLV ( R 2  = 0.94; P  < 0.0001). In 92 of 100 THLVs (92 %), the 95 % prediction interval of the regional mean z score captured the reference volume of the THLV. The z -score-based semi-quantitative analysis has the potential quantitatively to estimate the THLV volume on CT images.