Literature DB >> 11525319

Quantification of F-18 FDG PET images in temporal lobe epilepsy patients using probabilistic brain atlas.

K W Kang1, D S Lee, J H Cho, J S Lee, J S Yeo, S K Lee, J K Chung, M C Lee.   

Abstract

A probabilistic atlas of the human brain (Statistical Probabilistic Anatomical Maps: SPAM) was developed by the international consortium for brain mapping (ICBM). It is a good frame for calculating volume of interest (VOI) in many fields of brain images. After calculating the counts in VOI using the product of probability of SPAM images and counts in FDG images, asymmetric indices (AI) were calculated and used for finding epileptogenic zones in mesial temporal lobe epilepsy (mTLE). FDG PET images from 18 surgically confirmed mTLE patients and 22 age-matched controls were spatially normalized to the average brain MRI template of ICBM. Counts from normalized PET images were multiplied with the probability of 12 VOIs from SPAM images in both temporal lobes. Finally AI were calculated on each pair of VOIs, and compared with visual assessment. If AI of mTLE patients were not within 2.9 standard deviation from those of normal control group (P < 0.008; Bonferroni correction for P < 0.05), epileptogenic zones were considered to be found successfully. The counts of VOIs in the normal control group were symmetric (AI < 4.3%, paired t test P > 0.05) except for those of the inferior temporal gyrus (P < 0.001). By AIs in six pairs of VOIs, PET in mTLE had deficit on one side (P < 0.05). Lateralization was correct in only 14/18 of patients by AI, but 17/18 were consistent with visual inspection. In three patients with normal AI, PET images were symmetric on visual inspection. The asymmetric indices obtained by taking the product of the statistical probability anatomical map and FDG PET, correlated well with visual assessment in mTLE patients. SPAM is useful for the quantification of VOIs in functional images.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11525319     DOI: 10.1006/nimg.2001.0783

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  10 in total

1.  Regional Differences in Serotonin Transporter Occupancy by Escitalopram: An [11C]DASB PK-PD Study.

Authors:  Euitae Kim; Oliver D Howes; Bo-Hyung Kim; Myong-Wuk Chon; Seongho Seo; Federico E Turkheimer; Jae Sung Lee; Yun-Sang Lee; Jun Soo Kwon
Journal:  Clin Pharmacokinet       Date:  2017-04       Impact factor: 6.447

Review 2.  60 Years of Achievements by KSNM in Neuroimaging Research.

Authors:  Jae Seung Kim; Hye Joo Son; Minyoung Oh; Dong Yun Lee; Hae Won Kim; Jungsu Oh
Journal:  Nucl Med Mol Imaging       Date:  2022-01-15

3.  Adaptive template generation for amyloid PET using a deep learning approach.

Authors:  Seung Kwan Kang; Seongho Seo; Seong A Shin; Min Soo Byun; Dong Young Lee; Yu Kyeong Kim; Dong Soo Lee; Jae Sung Lee
Journal:  Hum Brain Mapp       Date:  2018-05-11       Impact factor: 5.038

4.  An MRI study of spatial probability brain map differences between first-episode schizophrenia and normal controls.

Authors:  Hae-Jeong Park; James Levitt; Martha E Shenton; Dean F Salisbury; Marek Kubicki; Ron Kikinis; Ferenc A Jolesz; Robert W McCarley
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

5.  Design and implementation of an automated partial volume correction in PET: application to dopamine receptor quantification in the normal human striatum.

Authors:  Olivier G Rousset; D Louis Collins; Arman Rahmim; Dean F Wong
Journal:  J Nucl Med       Date:  2008-06-13       Impact factor: 10.057

6.  The relationship between antipsychotic D2 occupancy and change in frontal metabolism and working memory : A dual [(11)C]raclopride and [(18) F]FDG imaging study with aripiprazole.

Authors:  Euitae Kim; Oliver D Howes; Federico E Turkheimer; Bo-Hyung Kim; Jae Min Jeong; Ji Who Kim; Jae Sung Lee; In-Jin Jang; Sang-Goo Shin; Shitij Kapur; Jun Soo Kwon
Journal:  Psychopharmacology (Berl)       Date:  2012-12-28       Impact factor: 4.530

7.  Quantification of Tc-99m-ethyl cysteinate dimer brain single photon emission computed tomography images using statistical probabilistic brain atlas in depressive end-stage renal disease patients: Correlation with disease severity and symptom factors.

Authors:  Heeyoung Kim; In Joo Kim; Seong-Jang Kim; Sang Heon Song; Kyoungjune Pak; Keunyoung Kim
Journal:  Neural Regen Res       Date:  2012-09-25       Impact factor: 5.135

8.  [11C]-(R)-PK11195 positron emission tomography in patients with complex regional pain syndrome: A pilot study.

Authors:  So Yeon Jeon; Seongho Seo; Jae Sung Lee; Soo-Hee Choi; Do-Hyeong Lee; Ye-Ha Jung; Man-Kyu Song; Kyung-Jun Lee; Yong Chul Kim; Hyun Woo Kwon; Hyung-Jun Im; Dong Soo Lee; Gi Jeong Cheon; Do-Hyung Kang
Journal:  Medicine (Baltimore)       Date:  2017-01       Impact factor: 1.889

9.  Abnormal neuroinflammation in fibromyalgia and CRPS using [11C]-(R)-PK11195 PET.

Authors:  Seongho Seo; Ye-Ha Jung; Dasom Lee; Won Joon Lee; Joon Hwan Jang; Jae-Yeon Lee; Soo-Hee Choi; Jee Youn Moon; Jae Sung Lee; Gi Jeong Cheon; Do-Hyung Kang
Journal:  PLoS One       Date:  2021-02-08       Impact factor: 3.240

10.  Pharmacodynamic analysis of magnetic resonance imaging-monitored focused ultrasound-induced blood-brain barrier opening for drug delivery to brain tumors.

Authors:  Po-Chun Chu; Wen-Yen Chai; Han-Yi Hsieh; Jiun-Jie Wang; Shiaw-Pyng Wey; Chiung-Yin Huang; Kuo-Chen Wei; Hao-Li Liu
Journal:  Biomed Res Int       Date:  2013-03-31       Impact factor: 3.411

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.