Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images
Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images
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DOI：
10.3390/jcm8060891
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发表时间：
2019-06-01
影响因子：
3.9
通讯作者：
La Forgia, Daniele
中科院分区：
文献类型：
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作者：
Fanizzi, Annarita;Losurdo, Liliana;La Forgia, Daniele
对比度增强能谱乳腺X射线摄影（CESM）是一种用于诊断乳腺癌的新奇仪器，但它仍然可以被认为是依赖于操作员的。在本文中，我们提出了一个全自动的系统作为临床医生的诊断支持工具。对于每个感兴趣区域（ROI），通过使用不同的技术从低能量和重组图像中提取特征集。通过顺序特征选择算法在所选择的显著特征子集上训练随机森林分类器。拟议的计算机自动诊断系统在2017年3月至2018年6月期间乳腺癌筛查阶段从巴里（意大利）肿瘤乔瓦尼保罗II研究所的53名患者中提取的48个ROI上进行了测试。本方法在预测良性/恶性ROI方面表现出色，灵敏度和特异性的中值分别为87.5%和91.7%。与最新技术水平相比，性能较高，即使具有中等/显著水平的实质背景。我们的分类模型通过将特异性提高超过8%而优于人类读者。因此，我们的系统可以为放射科医生解释CESM图像提供有效的支持工具，既降低了假阳性率，又限制了活检和手术。
Contrast-Enhanced Spectral Mammography (CESM) is a novelty instrumentation for diagnosing of breast cancer, but it can still be considered operator dependent. In this paper, we proposed a fully automatic system as a diagnostic support tool for the clinicians. For each Region Of Interest (ROI), a features set was extracted from low-energy and recombined images by using different techniques. A Random Forest classifier was trained on a selected subset of significant features by a sequential feature selection algorithm. The proposed Computer-Automated Diagnosis system is tested on 48 ROIs extracted from 53 patients referred to Istituto Tumori Giovanni Paolo II of Bari (Italy) from the breast cancer screening phase between March 2017 and June 2018. The present method resulted highly performing in the prediction of benign/malignant ROIs with median values of sensitivity and specificity of 87.5% and 91.7%, respectively. The performance was high compared to the state-of-the-art, even with a moderate/marked level of parenchymal background. Our classification model outperformed the human reader, by increasing the specificity over 8%. Therefore, our system could represent a valid support tool for radiologists for interpreting CESM images, both reducing the false positive rate and limiting biopsies and surgeries.