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对乳腺成像学会成员的乳腺密度评估的意见。

Opinions on the Assessment of Breast Density Among Members of the Society of Breast Imaging.

机构信息

Einstein Healthcare Network of Jefferson Health, Department of Radiology, Philadelphia, PA, USA.

Hospital of the University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA.

出版信息

J Breast Imaging. 2022 Oct 10;4(5):480-487. doi: 10.1093/jbi/wbac047.

Abstract

OBJECTIVE

Dense breast decreases the sensitivity and specificity of mammography and is associated with an increased risk of breast cancer. We conducted a survey to assess the opinions of Society of Breast Imaging (SBI) members regarding density assessment.

METHODS

An online survey was sent to SBI members twice in September 2020. The survey included active members who were practicing radiologists, residents, and fellows. Mammograms from three patients were presented for density assessment based on routine clinical practice and BI-RADS fourth and fifth editions. Dense breasts were defined as heterogeneously or extremely dense. Frequencies were calculated for each survey response. Pearson's correlation coefficient was used to evaluate the correlation of density assessments by different definitions.

RESULTS

The survey response rate was 12.4% (357/2875). For density assessments, the Pearson correlation coefficients between routine clinical practice and BI-RADS fourth edition were 0.05, 0.43, and 0.12 for patients 1, 2, and 3, respectively; these increased to 0.65, 0.65, and 0.66 between routine clinical practice and BI-RADS fifth edition for patients 1, 2, and 3, respectively. For future density grading, 79.0% (282/357) of respondents thought it should reflect both potential for masking and overall dense tissue for risk assessment. Additionally, 47.1% (168/357) of respondents thought quantitative methods were of use.

CONCLUSION

Density assessment varied based on routine clinical practice and BI-RADS fourth and fifth editions. Most breast radiologists agreed that density assessment should capture both masking and overall density. Moreover, almost half of respondents believed computer or artificial intelligence-assisted quantitative methods may help refine density assessment.

摘要

目的

致密乳腺降低了乳房 X 线摄影的敏感性和特异性,并与乳腺癌风险增加相关。我们进行了一项调查,以评估乳腺成像学会(SBI)成员对密度评估的看法。

方法

2020 年 9 月,我们向 SBI 成员进行了两次在线调查。该调查包括从事放射科医生、住院医师和研究员的活跃成员。根据常规临床实践和 BI-RADS 第四和第五版,对三位患者的乳房 X 光片进行了密度评估。致密乳房定义为不均匀或极度致密。对每次调查回复进行了频率计算。使用 Pearson 相关系数评估不同定义的密度评估之间的相关性。

结果

调查回复率为 12.4%(357/2875)。对于密度评估,常规临床实践与 BI-RADS 第四版之间的 Pearson 相关系数分别为患者 1、2 和 3 的 0.05、0.43 和 0.12;分别增加到患者 1、2 和 3 的常规临床实践与 BI-RADS 第五版之间的 0.65、0.65 和 0.66。对于未来的密度分级,79.0%(282/357)的受访者认为它应该反映出潜在的掩盖和总体致密组织的风险评估。此外,47.1%(168/357)的受访者认为定量方法是有用的。

结论

密度评估因常规临床实践和 BI-RADS 第四和第五版而异。大多数乳腺放射科医生认为密度评估应同时捕捉到掩盖和总体密度。此外,近一半的受访者认为计算机或人工智能辅助的定量方法可能有助于改进密度评估。

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