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学科主题: 临床医学
题名:
Tumor Volumes Measured From Static and Dynamic F-18-fluoro-2-deoxy-D-glucose Positron Emission Tomography-Computed Tomography Scan: Comparison of Different Methods Using Magnetic Resonance Imaging as the Criterion Standard
作者: Chen, Hanwei1,2; Jiang, Jinzhao3; Gao, Junling4; Liu, Dan4; Axelsson, Jan5; Cui, Minyi6; Gong, Nan-Jie4; Feng, Shi-Ting7; Luo, Liangping2; Huang, Bingsheng8
关键词: dynamic PET-CT scan ; head and neck cancer ; tumor volume ; gradient-based method
刊名: JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
发表日期: 2014-03-01
卷: 38, 期:2, 页:209-215
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]: Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]: SQUAMOUS-CELL CARCINOMA ; SIMPLIFIED KINETIC-ANALYSIS ; FDG-PET ; F-18-FDG PET ; LUNG-CANCER ; DELINEATION ; VALIDATION ; SPECIMEN ; IMAGES ; MRI
英文摘要:

Objective: The objective of this study was to compare the accuracy of calculating the primary tumor volumes using a gradient-based method and fixed threshold methods on the standardized uptake value (SUV) maps and the net influx of FDG (Ki) maps from positron emission tomography-computed tomography (PET-CT) images.

Materials and Methods: Newly diagnosed patients with head and neck cancer were recruited, and dynamic PET-CT scan and T2-weighted magnetic resonance imaging were performed. The maps of Ki and SUV were calculated from PET-CT images. The tumor volumes were calculated using a gradient-based method and a fixed threshold method at 40% of maximal SUV or maximal Ki. Four kinds of volumes, VOLKi-Gra (from the Ki maps using the gradient-based method), VOLKi-40% (from the Ki maps using the threshold of 40% maximal Ki), VOLSUV-Gra (from the SUV maps using the gradient-based method), and VOLSUV-40% (from the SUV maps using the threshold of 40% maximal SUV), were acquired and compared with VOLMRI (the volumes acquired on T2-weighted images) using the Pearson correlation, paired t test, and similarity analysis.

Results: Eighteen patients were studied, of which 4 had poorly defined tumors (PDT). The positron emission tomography-derived volumes were as follows: VOLSUV-40%, 2.1 to 41.2 cm(3) (mean [SD], 12.3 [10.6]); VOLSUV-Gra, 2.2 to 28.1 cm(3) (mean [SD], 13.2 [8.4]); VOLKi-Gra, 2.4 to 17.0 cm(3) (mean [SD], 9.5 [4.6]); and VOLKi-40%, 2.7 to 20.3 cm(3) (mean [SD], 12.0 [6.0]). The VOLMRI ranged from 2.9 to 18.1 cm(3) (mean [SD], 9.1 [3.9]). The VOLKi-Gra significantly correlated with VOLMRI with the highest correlation coefficient (PDT included, R = 0.673, P = 0.002; PDT excluded, R = 0.841, P < 0.001) and presented no difference from VOLMRI (P = 0.672 or 0.561, respectively, PDT included and excluded). The difference between VOLKi-Gra and VOLMRI was also the smallest.

Conclusions: The tumor volumes delineated on the Ki maps using the gradient-based method are more accurate than those on the SUV maps and using the fixed threshold methods.

语种: 英语
所属项目编号: 81301273 ; 201209176182
项目资助者: National Natural Science Foundation of China ; University of Hong Kong
WOS记录号: WOS:000336726400011
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/56369
Appears in Collections:北京大学深圳医院_期刊论文

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作者单位: 1.Guangzhou Panyu Cent Hosp, Dept Radiol, Guangzhou, Guangdong, Peoples R China
2.Jinan Univ, Med Imaging Ctr, Affiliated Hosp 1, Guangzhou, Guangdong, Peoples R China
3.Peking Univ, Dept Radiol, Shenzhen Hosp, Shenzhen, Peoples R China
4.Univ Hong Kong, Dept Diagnost Radiol, Hong Kong, Hong Kong, Peoples R China
5.Umea Univ, Dept Radiat Sci, Umea, Sweden
6.Hosp Stomatol, Guanghua Sch Stomatol, Dept Radiol, Guangzhou, Guangdong, Peoples R China
7.Sun Yat Sen Univ, Dept Radiol, Affiliated Hosp 1, Guangzhou 510275, Guangdong, Peoples R China
8.Shenzhen Univ, Shenzhen, Peoples R China

Recommended Citation:
Chen, Hanwei,Jiang, Jinzhao,Gao, Junling,et al. Tumor Volumes Measured From Static and Dynamic F-18-fluoro-2-deoxy-D-glucose Positron Emission Tomography-Computed Tomography Scan: Comparison of Different Methods Using Magnetic Resonance Imaging as the Criterion Standard[J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY,2014,38(2):209-215.
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