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自动乳腺超声系统(ABUS):系列检查中肿块定位、大小测量及特征描述的可重复性

Automated breast ultrasound system (ABUS): reproducibility of mass localization, size measurement, and characterization on serial examinations.

作者信息

Chang Jung Min, Cha Joo Hee, Park Jeong Seon, Kim Seung Ja, Moon Woo Kyung

机构信息

Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.

Department of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Republic of Korea.

出版信息

Acta Radiol. 2015 Oct;56(10):1163-70. doi: 10.1177/0284185114551565. Epub 2014 Oct 3.

Abstract

BACKGROUND

Automated breast ultrasound (ABUS) is gaining popularity for breast cancer detection and diagnosis with its high reproducibility. Consistent recognition of breast lesions on serial exams is critical, and high reproducibility for lesion characterization is expected with ABUS, but not well reported.

PURPOSE

To retrospectively evaluate the reproducibility of ABUS for mass localization, size measurement, and characterization.

MATERIAL AND METHODS

Bilateral whole breast US images were obtained twice using a commercially available ABUS within a mean interval of 1.3 days. In total, 24 patients were imaged before biopsy or surgery. There were 24 breast cancers and nine benign diagnoses. Two breast radiologists reviewed every paired three-dimensional dataset with regard to lesion visibility, reproducibility of documented location (clockface location, distance from nipple, and lesion depth), size of the lesions, and similarity for lesion characteristics. Lesion similarity was classified as being identical, similar, or different by consensus reading using the SomoVu workstation. Intraclass correlation coefficients (ICCs) and the Bland-Altman method were used to determine the amount of agreement between assessments of lesion location and size.

RESULTS

Among 33 breast lesions, 31 lesions were depicted in both serial examinations. ICCs for the displayed lesion location (clock face location, distance from nipple), and the individual size of detected lesions were 0.994, 0.926, and 0.980, indicating excellent reliability. However, the ICC for lesion depth from the skin was 0.342 showing low reliability. For lesion similarity, 16 cancers and five benign lesions were classified as being identical, and six cancers and two benign lesions were classified as being similar. Two benign lesions were assessed to have different lesion characteristics and final assessment categories.

CONCLUSION

The ABUS provided reproducible images for mass localization, size measurement, and characterization, which may be useful for follow-up studies.

摘要

背景

自动乳腺超声(ABUS)因其高重复性在乳腺癌检测和诊断中越来越受欢迎。在系列检查中对乳腺病变的一致识别至关重要,ABUS预期在病变特征描述方面具有高重复性,但相关报道较少。

目的

回顾性评估ABUS在肿块定位、大小测量及特征描述方面的重复性。

材料与方法

使用商用ABUS在平均间隔1.3天的时间内对双侧全乳进行两次超声成像。共有24例患者在活检或手术前接受成像。其中有24例乳腺癌和9例良性诊断。两位乳腺放射科医生对每对三维数据集进行审查,内容包括病变可见性、记录位置的重复性(钟面位置、距乳头距离及病变深度)、病变大小以及病变特征的相似性。使用SomoVu工作站通过一致性阅读将病变相似性分为相同、相似或不同。组内相关系数(ICC)和Bland-Altman方法用于确定病变位置和大小评估之间的一致性程度。

结果

在33个乳腺病变中,31个病变在两次系列检查中均被显示。所显示病变位置(钟面位置、距乳头距离)以及检测到的病变个体大小的ICC分别为0.994、0.926和0.980,表明可靠性极佳。然而,从皮肤测量的病变深度的ICC为0.342,显示可靠性较低。对于病变相似性,16例癌症和5例良性病变被分类为相同,6例癌症和2例良性病变被分类为相似。有2例良性病变被评估为具有不同的病变特征和最终评估类别。

结论

ABUS为肿块定位、大小测量及特征描述提供了可重复的图像,这可能对随访研究有用。

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