Radiomics for Tumor Characterization in Breast Cancer Patients: A Feasibility Study Comparing Contrast-Enhanced Mammography and Magnetic Resonance Imaging

被引:35
作者
Marino, Maria Adele [1 ,2 ]
Leithner, Doris [1 ,3 ]
Sung, Janice [1 ]
Avendano, Daly [1 ,4 ]
Morris, Elizabeth A. [1 ]
Pinker, Katja [1 ,5 ]
Jochelson, Maxine S. [1 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Dept Radiol, Breast Imaging Serv, New York, NY 10065 USA
[2] Univ Messina, Dept Biomed Sci & Morphol & Funct Imaging, I-98100 Messina, Italy
[3] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, D-60590 Frankfurt, Germany
[4] ITESM Monterrey, Dept Breast Imaging, Breast Canc Ctr TecSalud, Monterrey 64718, Nuevo Leon, Mexico
[5] Med Univ Vienna, Div Mol & Gender Imaging, Dept Biomed Imaging & Image Guided Therapy, A-1090 Vienna, Austria
基金
美国国家卫生研究院;
关键词
radiomics; contrast-enhanced mammography; breast cancer; texture analysis; prognosis; diagnosis; characterization; magnetic resonance imaging; RADIOGENOMIC ANALYSIS; MRI; RECOMMENDATIONS; CLASSIFICATION; HETEROGENEITY; DIAGNOSIS; LESIONS; DEFINE; IMAGES; WOMEN;
D O I
10.3390/diagnostics10070492
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The aim of our intra-individual comparison study was to investigate and compare the potential of radiomics analysis of contrast-enhanced mammography (CEM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast for the non-invasive assessment of tumor invasiveness, hormone receptor status, and tumor grade in patients with primary breast cancer. This retrospective study included 48 female patients with 49 biopsy-proven breast cancers who underwent pretreatment breast CEM and MRI. Radiomics analysis was performed by using MaZda software. Radiomics parameters were correlated with tumor histology (invasive vs. non-invasive), hormonal status (HR+ vs. HR-), and grading (low grade G1 + G2 vs. high grade G3). CEM radiomics analysis yielded classification accuracies of up to 92% for invasive vs. non-invasive breast cancers, 95.6% for HR+ vs. HR- breast cancers, and 77.8% for G1 + G2 vs. G3 invasive cancers. MRI radiomics analysis yielded classification accuracies of up to 90% for invasive vs. non-invasive breast cancers, 82.6% for HR+ vs. HR- breast cancers, and 77.8% for G1+G2 vs. G3 cancers. Preliminary results indicate a potential of both radiomics analysis of DCE-MRI and CEM for non-invasive assessment of tumor-invasiveness, hormone receptor status, and tumor grade. CEM may serve as an alternative to MRI if MRI is not available or contraindicated.
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页数:11
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