乳腺癌症分类:弹性成像和B型超声联合应用的CAD系统

Fleury Efc, H. Schiabel
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摘要

目的:本研究的目的是评估和比较弹性成像、b超(US)以及弹性成像和b超联合诊断良性和恶性病变的表现。方法:前瞻性研究于2015年7月至12月对87例患者的83个病灶进行常规b超及应变弹性成像检查。所有病变均经活检证实,恶性病变31例,良性病变52例。一位有16年经验的放射科医生对这些病例进行了视觉分类。我们还使用CAD系统对最有经验的放射科医生使用CAD系统进行视觉分类的病变进行分类。将获得的数据与另一位放射科医生和一位有2年经验的住院医生提供的结果进行比较。计算三个观测者使用CAD系统的灵敏度、特异度和AUC。结果:开发的CADx系统从不同的轮廓确定方式(手动和自动)对乳腺病变分类提供了诊断一致性,减少了诊断的可变性。此外,CADx系统显示优于放射科医生的视觉分析结果。当放射科医生将两项检查(b超和弹性成像)结合起来时,他的视觉分析分别提供了87.1%,55.8%和0.714的敏感性,特异性和AUC。当我们考虑到b超和弹性成像图像之间的关联所提供的结果时,CADx系统使用最有经验的放射科医生划定的轮廓线,提供了约7%的敏感性和17.2%的特异性的相对增加。此外,放射科医生在使用计算工具方面也观察到积极的影响,因为平均而言,他们的敏感性和特异性指数也比传统分析有所增加,分别从87.1%和55.8%增加到90.3%和73.1%。结论:所开发的CADx系统在b超和弹性成像中都能很好地区分良恶性病变。在分析的大多数病例中,获得的AUC高于放射科医生的视觉分析。引用本文:Marcomini KD, Fleury EFC, Schiabela H.乳腺癌分类:一种结合弹性成像和b超的CAD系统。中国癌症杂志,2020;7(1):6。中国癌症杂志7(1):6 (2020)Page 02 ISSN: 2377-9292
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Breast Cancer Classification: A CAD System for a Combined Use of Elastography and B-Mode Sonography
Purpose: The aim of this study was to evaluate and compare the diagnostic performance of elastography, B-mode Ultrasound (US), and a combination of elastography and B-mode US for the differentiation between benign and malignant lesions. Methods: A prospective study was carried out from July to December 2015, which 87 patients with 83 lesions were examined with conventional B-mode ultrasound and strain elastography. All the lesions had been proven by biopsy, resulting in 31 malignant and 52 benign lesions. A radiologist with 16 years of experience classified visually these cases. We also used a CAD sys-tem to classify the lesions classified visually by the most experienced radiologist and using a CAD system. The data obtained were compared with the results provided by another radiologist and a resident with 2 years of experience. Sensitivity, specificity and AUC for the three observers using the CAD system were calculated. Results: The developed CADx system provided a diagnostic concordance in the classification of breast lesions from the different ways of contour determination (manual and automatic), allowing to reduce the diagnostic variability. In addition, the CADx system showed superior results to the visual analysis of the radiologist. When the radiologist associated both examinations (B-mode ultrasound and elastography), his visual analysis provided 87.1%, 55.8% and 0.714 of sensitivity, specificity and AUC, respectively. When we considered the result provided by the association between B-mode ultrasound and elastography images, the CADx system provided a comparative increase of about 7% of sensitivity and 17.2% of specificity, using the contour delimited by the most experienced radiologist. In addition, a positive influence was observed in the use of the computational tool by radiologists, since, on average, their sensitivity and specificity indexes also increased in relation to the conventional analysis, from 87.1% and 55.8% to 90.3% and 73.1%, respectively. Conclusion: Thus, it can be concluded that the developed CADx system performed well in distinguishing benign from malignant lesions for both B-mode ultrasound and elastography. The AUC obtained was higher than the radiologist’s visual analysis in most of the cases analyzed. Citation: Marcomini KD, Fleury EFC, Schiabela H. Breast Cancer Classification: A CAD System for a Combined Use of Elastography and B-Mode Sonography. J Cancer Sci. 2020;7(1): 6. J Cancer Sci 7(1): 6 (2020) Page 02 ISSN: 2377-9292
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