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使用Quantra™进行乳腺X线密度自动测量:与澳大利亚和新西兰皇家放射学院概要量表的比较。

Automated mammographic density measurement using Quantra™: comparison with the Royal Australian and New Zealand College of Radiology synoptic scale.

作者信息

Yeo Inez, Akwo Judith, Ekpo Ernest

机构信息

The University of Sydney, Faculty of Medicine and Health, Discipline of Medical Imaging Science, Medical Image Optimisation and Perception Group, Sydney, New South Wales, Australia.

Orange Radiology, Laboratories and Research Centre, Calabar, Nigeria.

出版信息

J Med Imaging (Bellingham). 2020 May;7(3):035501. doi: 10.1117/1.JMI.7.3.035501. Epub 2020 May 29.

Abstract

This technology evaluation study assesses the limits of agreement between the mammographic density (MD) measurement of Quantra™ from different breasts and mammographic views and its agreement with the Royal Australian and New Zealand College of Radiologists (RANZCR) synoptic scale. MD of 800 women was assessed by Quantra™ and seven radiologists using the RANZCR synoptic scale. Bland-Altman analysis was used to assess the limits of agreement between Quantra™ MD measures from both breasts and mammographic views. The agreement between Quantra™ and the RANZCR synoptic scale was assessed using weighted kappa ( ). The receiver operating characteristics area under the curve (AUC) was used to assess the performance of Quantra™ in reproducing RANZCR MD ratings. There was no significant bias in the mean MD of Quantra™ from both breasts: left versus right craniocaudal (CC) views ( ; ) and right versus left mediolateral oblique (MLO) ( ; ). However, MD measures from the same breast but different views showed significant bias: right CC versus right MLO ( ; ) and left CC versus left MLO ( ; ). Quantra™ demonstrated substantial agreement with the RANZCR synoptic scale on four- and two-category scales ( ; 0.59 to 0.66 and 0.76; 0.72 to 0.81, respectively). Quantra™ better reproduced the RANZCR synoptic scale on a two-category scale ( ; 0.84 to 0.91) than a four-category scale ( ; 0.58 to 0.67 to 0.78; 0.74 to 0.82). Quantra™ reproduces MD classification using the RANZCR synoptic scale on a two-category scale and should help in identification of women with dense breasts who may need adjunctive imaging for early detection of breast cancer.

摘要

这项技术评估研究评估了Quantra™对不同乳房及乳房X线摄影视图的乳房密度(MD)测量结果之间的一致性界限,以及其与澳大利亚和新西兰皇家放射科医师学会(RANZCR)概要量表的一致性。800名女性的MD由Quantra™和七名放射科医师使用RANZCR概要量表进行评估。采用Bland-Altman分析评估双侧乳房及乳房X线摄影视图的Quantra™ MD测量结果之间的一致性界限。使用加权kappa( )评估Quantra™与RANZCR概要量表之间的一致性。曲线下面积(AUC)用于评估Quantra™在再现RANZCR MD分级方面的性能。双侧乳房的Quantra™平均MD无显著偏差:左右头尾位(CC)视图( ; )以及右左内外斜位(MLO)( ; )。然而,同一乳房不同视图的MD测量结果显示出显著偏差:右CC与右MLO( ; )以及左CC与左MLO( ; )。Quantra™在四类和两类量表上与RANZCR概要量表显示出实质性一致性( ;分别为0.59至0.66和0.76;0.72至0.81)。Quantra™在两类量表( ;0.84至0.91)上比四类量表( ;0.58至0.67至0.78;0.74至0.82)能更好地再现RANZCR概要量表。Quantra™使用RANZCR概要量表在两类量表上再现MD分类,应有助于识别乳房致密且可能需要辅助成像以早期发现乳腺癌的女性。

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本文引用的文献

1
Errors in Mammography Cannot be Solved Through Technology Alone.乳腺摄影中的错误不能仅通过技术来解决。
Asian Pac J Cancer Prev. 2018 Feb 26;19(2):291-301. doi: 10.22034/APJCP.2018.19.2.291.
2
Breast Cancer Epidemiology, Prevention, and Screening.乳腺癌流行病学、预防和筛查。
Prog Mol Biol Transl Sci. 2017;151:1-32. doi: 10.1016/bs.pmbts.2017.07.002. Epub 2017 Oct 10.
9
Evaluation of breast parenchymal density with QUANTRA software.使用QUANTRA软件评估乳腺实质密度。
Indian J Radiol Imaging. 2015 Oct-Dec;25(4):391-6. doi: 10.4103/0971-3026.169458.

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