The Rate of Apparent Diffusion Coefficient Change With Diffusion Time on Breast Diffusion-Weighted Imaging Depends on Breast Tumor Types and Molecular Prognostic Biomarker Expression

被引:21
作者
Iima, Mami [1 ,2 ]
Kataoka, Masako [1 ]
Honda, Maya [1 ]
Ohashi, Akane [1 ,3 ]
Kishimoto, Ayami Ohno [4 ]
Ota, Rie [1 ]
Uozumi, Ryuji [5 ]
Urushibata, Yuta [6 ]
Feiweier, Thorsten [7 ]
Toi, Masakazu [8 ]
Nakamoto, Yuji [1 ]
机构
[1] Kyoto Univ, Dept Diagnost Imaging & Nucl Med, Grad Sch Med, Kyoto, Japan
[2] Kyoto Katsura Hosp, Inst Adv Clin & Translat Sci, Dept Clin Innovat Med, Kyoto, Japan
[3] Natl Hosp Org, Kyoto Med Ctr, Kyoto, Japan
[4] Kyoto Katsura Hosp, Kyoto, Japan
[5] Kyoto Univ, Grad Sch Med, Dept Biomed Stat & Bioinformat, Kyoto, Japan
[6] Siemens Hlthcare KK, Tokyo, Japan
[7] Siemens Healthcare GmbH, Erlangen, Germany
[8] Kyoto Univ, Grad Sch Med, Dept Breast Surg, Kyoto, Japan
关键词
breast cancer; magnetic resonance imaging; diffusion-weighted imaging; diffusion time; molecular prognostic biomarker; MRI; HETEROGENEITY; SUBTYPES;
D O I
10.1097/RLI.0000000000000766
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
Introduction The aim of this study was to investigate the variation of apparent diffusion coefficient (ADC) values with diffusion time according to breast tumor type and prognostic biomarkers expression. Materials and Methods A total of 201 patients with known or suspected breast tumors were prospectively enrolled in this study, and 132 breast tumors (86 malignant and 46 benign) were analyzed. Diffusion-weighted imaging scans with 2 diffusion times were acquired on a clinical 3-T magnetic resonance imaging scanner using oscillating and pulsed diffusion-encoding gradients (effective diffusion times, 4.7 and 96.6 milliseconds) and b values of 0 and 700 s/mm(2). Diagnostic performances to differentiate malignant and benign breast tumors for ADC values at short and long diffusion times (ADC(short) and ADC(long)), Delta ADC (the rate of change in ADC values with diffusion time), ADC(0-1000) (ADC value from a standard protocol), and standard reading including dynamic contrast-enhanced magnetic resonance imaging (BI-RADS) were investigated. The correlations of ADC(short), ADC(long), and Delta ADC values with hormone receptor expression and breast cancer subtypes were also analyzed. Results The ADC values were lower, and Delta ADC was higher in malignant tumors compared with benign tumors. The specificity of ADC values at all diffusion times and Delta ADC values for differentiating malignant and benign breast tumors was superior to that of BI-RADS (87.0%-95.7% vs 73.9%), whereas the sensitivity was inferior (87.2%-90.7% vs 100%). Lower ADC(short) and ADC(0-1000) in ER-positive compared with ER-negative cancers (false discovery rate [FDR]-adjusted P = 0.037 and 0.018, respectively) and lower ADC(short), ADC(long), and ADC(0-1000) in progesterone receptor-positive compared with progesterone receptor-negative cancers (FDR-adjusted P = 0.037, 0.036, and 0.018, respectively) were found. Ki-67-positive cancers had larger Delta ADCs than Ki-67-negative cancers (FDR-adjusted P = 0.018). Conclusions The ADC values vary with different diffusion time and vary in correlation with molecular biomarkers, especially Ki-67. Those results suggest that the diffusion time, which should be reported, might be a useful parameter to consider for breast cancer management.
引用
收藏
页码:501 / 508
页数:8
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