Marino Maria Adele, Leithner Doris, Sung Janice, Avendano Daly, Morris Elizabeth A, Pinker Katja, Jochelson Maxine S
Memorial Sloan Kettering Cancer Center, Department of Radiology, Breast Imaging Service, New York, NY 10065, USA.
Department of Biomedical Sciences and Morphologic and Functional Imaging, University of Messina, 98100 Messina, Italy.
Diagnostics (Basel). 2020 Jul 18;10(7):492. doi: 10.3390/diagnostics10070492.
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.
我们的个体内比较研究旨在调查和比较乳腺对比增强钼靶摄影(CEM)和动态对比增强磁共振成像(DCE-MRI)的放射组学分析在对原发性乳腺癌患者的肿瘤侵袭性、激素受体状态和肿瘤分级进行无创评估方面的潜力。这项回顾性研究纳入了48例女性患者,她们患有49例经活检证实的乳腺癌,均接受了乳腺CEM和MRI预处理。使用MaZda软件进行放射组学分析。放射组学参数与肿瘤组织学(浸润性与非浸润性)、激素状态(HR+与HR-)和分级(低级别G1+G2与高级别G3)相关。CEM放射组学分析对浸润性与非浸润性乳腺癌的分类准确率高达92%,对HR+与HR-乳腺癌的分类准确率为95.6%,对G1+G2与G3浸润性癌的分类准确率为77.8%。MRI放射组学分析对浸润性与非浸润性乳腺癌的分类准确率高达90%,对HR+与HR-乳腺癌的分类准确率为82.6%,对G1+G2与G3癌的分类准确率为77.8%。初步结果表明,DCE-MRI和CEM的放射组学分析在对肿瘤侵袭性、激素受体状态和肿瘤分级进行无创评估方面均具有潜力。如果无法进行MRI或MRI有禁忌证,CEM可作为MRI的替代方法。