Grading Astrocytic Tumors by Using Apparent Diffusion Coefficient Parameters: Superiority of a One- versus Two-Parameter Pilot Method

被引:137
作者
Murakami, Ryuji [1 ]
Hirai, Toshinori [2 ]
Sugahara, Takeshi [4 ]
Fukuoka, Hirofumi [2 ]
Toya, Ryo [1 ]
Nishimura, Shinichiro [2 ]
Kitajima, Mika [2 ]
Okuda, Tomoko [2 ]
Nakamura, Hideo [3 ]
Oya, Natsuo [1 ]
Kuratsu, Jun-ichi [3 ]
Yamashita, Yasuyuki [2 ]
机构
[1] Kumamoto Univ Hosp, Dept Radiat Oncol, Kumamoto 8608556, Japan
[2] Kumamoto Univ Hosp, Dept Diagnost Radiol, Kumamoto 8608556, Japan
[3] Kumamoto Univ Hosp, Dept Neurosurg, Kumamoto 8608556, Japan
[4] Kumamoto Red Cross Hosp, Dept Radiol, Kumamoto, Japan
关键词
BRAIN-TUMORS; GLIOMAS; DIFFERENTIATION; MRI;
D O I
10.1148/radiol.2513080899
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To assess the utility of both minimum apparent diffusion coefficients (ADCs) and ADC difference values for grading astrocytic tumors at magnetic resonance imaging. Materials and Methods: The hospital's institutional review board approved this retrospective study and waived informed consent. Fifty patients (23 male patients, 27 female patients; median age, 53 years) with newly diagnosed astrocytic tumors were evaluated. Two observers blinded to clinical information independently measured the ADCs by manually placing three to five regions of interest (40-60 mm(2)) within the solid tumor either with or without contrast material-enhanced components and calculated the average ADC. Minimum and maximum ADCs were selected, and the difference between them was recorded as the ADC difference value. These ADC values were used as the parameters for tumor grading and were compared by using the Kruskal-Wallis test and receiver operating characteristic (ROC) curve analysis. Results: According to ROC analyses for distinguishing tumor grade, minimum ADCs showed the largest areas under the ROC curve. Minimum ADCs optimally helped distinguish grade 1 from higher-grade tumors at a cutoff value of 1.47 x 10(-3) mm(2)/sec and grade 4 from lower-grade tumors at a cutoff value of 1.01 x 10(-3) mm(2)/sec (P < .001 for both). ADC difference values helped distinguish grade 2 from grade 3 tumors at a cutoff value of 0.31 x 10(-3) mm(2)/sec (P < .001). When tumors were graded by using the combined minimum ADC and ADC difference cutoff values mentioned above (the two-parameter method), the following positive predictive values were obtained: grade 1 tumors, 73% (eight of 11); grade 2 tumors, 100% (five of five); grade 3 tumors, 67% (eight of 12); and grade 4 tumors, 91% (20 of 22). Conclusion: Using a combination of minimum ADCs and ADC difference values (the two-parameter method) facilitates the accurate grading of astrocytic tumors. (C) RSNA, 2009
引用
收藏
页码:838 / 845
页数:8
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