Sasaki Michiro, Tozaki Mitsuhiro, Kubota Kazunori, Murakami Wakana, Yotsumoto Daisuke, Sagara Yasuaki, Ohi Yasuyo, Oosako Shunichi, Sagara Yoshiaki
Department of Radiology, Sagara Perth Avenue Clinic, 26-13 Shinyashiki-cho, Kagoshima, Kagoshima, 892-0838, Japan.
Department of Radiology, Sagara Hospital Affiliated Breast Center, 3-28 Tenokuchi-cho, Kagoshima, Kagoshima, 892-0845, Japan.
Jpn J Radiol. 2018 Feb;36(2):122-133. doi: 10.1007/s11604-017-0707-y. Epub 2017 Nov 20.
To compare standardized uptake value (SUV) and apparent diffusion coefficient (ADC) values acquired using a PET/MRI scanner in breast cancer patients.
Whole-body PET/MRI and breast PET/MRI were performed in 108 consecutive patients. Ninety-four patients who had a total of 100 breast cancers were analyzed. SUVmax and ADCmean acquired using breast PET/MRI were compared with pathologic prognostic factors.
All the lesions were visually detectable using PET and diffusion-weighted imaging (DWI) on breast PET/MRI; however, lesions were visually undetectable on whole-body DWI in 13 patients (13%) or on whole-body PET in 7 patients (7%). An analysis of ADCmean and SUVmax demonstrated a statistically significant correlation between whole-body imaging and breast imaging (rho = 0.613, p < 0.001 and rho = 0.928, p < 0.001, respectively). In a univariate analysis, SUVmax was significantly correlated with HER2 status (p < 0.001), Ki-67 (p = 0.014), tumor size (p = 0.0177), and nuclear grade (p = 0.0448). In multiple regression analysis, only tumor size (p = 0.00701) was shown to independently influence SUVmax.
Prone breast imaging was more sensitive than whole-body PET/MRI for detection of breast cancers. Both SUVmax and ADCmean showed limited correlation with pathologic prognostic factors.
比较使用PET/MRI扫描仪获取的乳腺癌患者的标准化摄取值(SUV)和表观扩散系数(ADC)值。
对108例连续患者进行了全身PET/MRI和乳腺PET/MRI检查。对94例共有100个乳腺癌的患者进行了分析。将使用乳腺PET/MRI获取的SUVmax和ADCmean与病理预后因素进行比较。
所有病变在乳腺PET/MRI上通过PET和扩散加权成像(DWI)均可视觉检测到;然而,13例患者(13%)的病变在全身DWI上或7例患者(7%)的病变在全身PET上视觉不可检测到。对ADCmean和SUVmax的分析表明,全身成像与乳腺成像之间存在统计学显著相关性(分别为rho = 0.613,p < 0.001和rho = 0.928,p < 0.001)。在单变量分析中,SUVmax与HER2状态(p < 0.001)、Ki-67(p = 0.014)、肿瘤大小(p = 0.0177)和核分级(p = 0.0448)显著相关。在多元回归分析中,仅肿瘤大小(p = 0.00701)被证明独立影响SUVmax。
俯卧位乳腺成像在检测乳腺癌方面比全身PET/MRI更敏感。SUVmax和ADCmean与病理预后因素的相关性均有限。