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Application of R2*and Apparent Diffusion Coefficient in Estimating Tumor Grade and T Category of Bladder Cancer

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, 1095 Jiefang Ave, Wuhan 430030, Peoples R China [2]Johns Hopkins Univ, Dept Radiol, Johns Hopkins Hosp, Baltimore, MD USA
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关键词: bladder cancer DWI MRI T2*-weighted imaging

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OBJECTIVE. The objective of our study was to compare the feasibility of R2* and apparent diffusion coefficient (ADC) for differentiating tumor grade and T category of bladder cancer. SUBJECTS AND METHODS. In this prospective study, 58 patients with pathologically confirmed bladder cancers underwent pretreatment T2*-weighted imaging and DWI on a 3-T MRI unit. The apparent transverse relaxation rate R2*, which is derived from T2*weighted imaging, and ADC, which is derived from DWI, were calculated and compared between low- and high-grade bladder cancers as well as between non-muscle-invasive bladder cancers (NMIBCs) and muscle-invasive bladder cancers (MIBCs) using the Mann-Whitney U test. The diagnostic performances of R2*, ADC, and the combination of R2* and ADC were evaluated through an ROC analysis. RESULTS. Significant differences were found in R2* (mean +/- SD, 16.55 +/- 5.54 vs 20.96 +/- 7.75 s(-1);p = 0.000 and ADC (1.62 +/- 0.31 vs 1.33 +/- 0.21 x 10(-3) mm(2)/s; p < 0.001) between lowand high-grade bladder cancers. R2* was significantly higher (22.56 +/- 8.41 vs 18.06 +/- 6.46 s(-1);p = 0.008) and ADC was considerably lower (1.21 +/- 0.18 vs 1.53 +/- 0.27 x 10(-3) mm(2)/s;p < 0.001) in MIBCs than in NMI BO. The AUCs for differentiating low- from high-grade groups were 0.714 using R2* and 0.779 using ADC. AUCs for distinguishing between NMIBC and MIBC groups using R2* and ADC were 0.682 and 0.850, respectively. CONCLUSION. In addition to ADC, R2* can be used as a quantitative imaging biomarker to provide additional information for tumor characterization of bladder cancer.

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出版当年[2019]版:
大类 | 3 区 医学
小类 | 3 区 核医学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 核医学
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出版当年[2018]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Radiol, 1095 Jiefang Ave, Wuhan 430030, Peoples R China
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