Optoacoustic Imaging and Gray-Scale US Features of Breast Cancers: Correlation with Molecular Subtypes

被引:50
作者
Dogan, Basak E. [1 ]
Menezes, Gisela L. G. [2 ,3 ]
Butler, Reni S. [4 ]
Neuschler, Erin, I [5 ,6 ]
Aitchison, Roger [7 ]
Lavin, Philip T. [7 ]
Tucker, E. Lee [8 ]
Grobmyer, Stephen R. [9 ]
Otto, Pamela M. [2 ]
Stavros, A. Thomas [2 ,3 ]
机构
[1] Univ Texas Southwestern Med Ctr Dallas, Dept Diagnost Radiol, 2201 Inwood Rd, Dallas, TX 75390 USA
[2] Univ Texas Hlth Sci Ctr San Antonio, Dept Radiol, San Antonio, TX 78229 USA
[3] Seno Med Instruments, San Antonio, TX USA
[4] Yale Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT USA
[5] Northwestern Univ, Dept Radiol, Chicago, IL USA
[6] Northwestern Univ, Feinberg Sch Med, Chicago, IL 60611 USA
[7] Boston Biostat Res Fdn, Boston, MA USA
[8] Virginia Biomed Labs LLC, Wirtz, VA USA
[9] Cleveland Clin, Dept Surg Oncol, Cleveland, OH 44106 USA
关键词
ULTRASOUND; EXPRESSION; HYPOXIA; WOMEN; CARCINOMA; BENIGN; MASSES; TUMORS;
D O I
10.1148/radiol.2019182071
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
Background: Optoacoustic imaging can assess tumor hypoxia coregistered with US gray-scale images. The combination of optoacoustic imaging and US may have a role in distinguishing breast cancer molecular subtypes. Purpose: To investigate whether optoacoustic US feature scores correlate with breast cancer molecular subtypes. Materials and Methods: A total of 1972 women (with a total of 2055 breast masses) underwent prebiopsy optoacoustic US in a prospective multi-institutional study between December 2012 and September 2015. Seven readers blinded to pathologic diagnosis scored gray-scale US and optoacoustic US features of the known cancers. Optoacoustic US features within (internal) and outside of the tumor boundary (external) were scored. Immunohistochemistry findings were obtained from pathology reports. Multinomial logistic regression analysis was used to fit the US scores, adding optoacoustic US features to the model to investigate the incremental benefit of each feature. Kruskal-Wallis tests were used to analyze the relationship between molecular subtypes and feature scores. Results: Among 653 invasive cancers identified in 629 women, a total of 532 cancers in 519 women, all of which had molecular markers available, were included in the analysis. Mean age +/- standard deviation was 57.9 years +/- 12.6. Mean total external optoacoustic US feature scores of luminal (A and B) breast cancers were higher (9.9 vs 8.8; P < .05) and total internal scores were lower(6.8 vs 7.7; P < .001) than those of triple-negative and human epidermal growth factor receptor 2-positive (HER2+) cancers. A multinomial logistic regression model showed that optoacoustic internal vessel (odds ratio [OR], 0.6; 95% confidence interval [CI]:0.5, 0.8; P = .002), optoacoustic internal blush (OR, 0.7; 95% CI: 0.5, 0.9; P = .02), and optoacoustic internal hemoglobin (OR,0.6; 95% CI: 0.5, 0.8; P = .001) were associated with classification of luminal versus triple-negative and HER2+ cancer subtypes. Conclusion: Combined optoacoustic US imaging and gray-scale US features may help distinguish luminal breast cancers from triple-negative and human epidermal growth factor receptor 2-positive cancers. (C) RSNA, 2019
引用
收藏
页码:564 / 572
页数:9
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