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根据BI-RADS，在二维和三维图像中对视觉和Quantra软件乳腺密度评估的比较。

Comparison of Visual and Quantra Software Mammographic Density Assessment According to BI-RADS in 2D and 3D Images.

作者信息

Morciano Francesca, Marcazzan Cristina, Rella Rossella, Tommasini Oscar, Conti Marco, Belli Paolo, Spagnolo Andrea, Quaglia Andrea, Tambalo Stefano, Trisca Andreea Georgiana, Rossati Claudia, Fornasa Francesca, Romanucci Giovanna

机构信息

Private Practice, 44123 Ferrara, Italy.

AULSS 9 Scaligera, Breast Unit, Department of Radiology, 37122 Verona, Italy.

出版信息

J Imaging. 2024 Sep 23;10(9):238. doi: 10.3390/jimaging10090238.

DOI:10.3390/jimaging10090238
PMID:39330458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11433353/
Abstract

Mammographic density (MD) assessment is subject to inter- and intra-observer variability. An automated method, such as Quantra software, could be a useful tool for an objective and reproducible MD assessment. Our purpose was to evaluate the performance of Quantra software in assessing MD, according to BI-RADS Atlas Fifth Edition recommendations, verifying the degree of agreement with the gold standard, given by the consensus of two breast radiologists. A total of 5009 screening examinations were evaluated by two radiologists and analysed by Quantra software to assess MD. The agreement between the three assigned values was expressed as intraclass correlation coefficients (ICCs). The agreement between the software and the two readers (R1 and R2) was moderate with ICC values of 0.725 and 0.713, respectively. A better agreement was demonstrated between the software's assessment and the average score of the values assigned by the two radiologists, with an index of 0.793, which reflects a good correlation. Quantra software appears a promising tool in supporting radiologists in the MD assessment and could be part of a personalised screening protocol soon. However, some fine-tuning is needed to improve its accuracy, reduce its tendency to overestimate, and ensure it excludes high-density structures from its assessment.

摘要

乳腺密度（MD）评估存在观察者间和观察者内的变异性。像Quantra软件这样的自动化方法，可能是进行客观且可重复的MD评估的有用工具。我们的目的是根据BI-RADS图谱第五版的建议，评估Quantra软件在评估MD方面的性能，通过两名乳腺放射科医生的共识来验证与金标准的一致程度。两名放射科医生对总共5009例筛查检查进行了评估，并通过Quantra软件进行分析以评估MD。三个指定值之间的一致性用组内相关系数（ICC）表示。软件与两名读者（R1和R2）之间的一致性中等，ICC值分别为0.725和0.713。软件评估与两名放射科医生指定值的平均分之间显示出更好的一致性，指数为0.793，这反映了良好的相关性。Quantra软件似乎是在MD评估中支持放射科医生的一个有前景的工具，并且可能很快成为个性化筛查方案的一部分。然而，需要进行一些微调以提高其准确性，减少其高估的倾向，并确保其评估中排除高密度结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/5de851ca5c09/jimaging-10-00238-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/ecbe74d95e52/jimaging-10-00238-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/c60545bbdb4d/jimaging-10-00238-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/90ebf04d3dce/jimaging-10-00238-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/f8a7c7cb9c69/jimaging-10-00238-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/1bb1860b5aa2/jimaging-10-00238-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/018ff4175ac5/jimaging-10-00238-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/6767acd27cd5/jimaging-10-00238-ch001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/1578f30f267e/jimaging-10-00238-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/5de851ca5c09/jimaging-10-00238-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/ecbe74d95e52/jimaging-10-00238-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/c60545bbdb4d/jimaging-10-00238-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/90ebf04d3dce/jimaging-10-00238-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/f8a7c7cb9c69/jimaging-10-00238-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/1bb1860b5aa2/jimaging-10-00238-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/018ff4175ac5/jimaging-10-00238-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/6767acd27cd5/jimaging-10-00238-ch001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/1578f30f267e/jimaging-10-00238-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577e/11433353/5de851ca5c09/jimaging-10-00238-g008.jpg

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本文引用的文献

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J Pers Med. 2023 Mar 30;13(4):609. doi: 10.3390/jpm13040609.
2
Age-Specific Breast Density Changes in Taiwanese Women: A Cross-Sectional Study.台湾女性年龄特异性乳腺密度变化：一项横断面研究。
Int J Environ Res Public Health. 2020 May 4;17(9):3186. doi: 10.3390/ijerph17093186.
3
A Review of Breast Density Implications and Breast Cancer Screening.
乳腺密度的影响与乳腺癌筛查综述
Clin Breast Cancer. 2020 Aug;20(4):283-290. doi: 10.1016/j.clbc.2020.03.004. Epub 2020 Mar 20.
4
Breast Density Awareness and Knowledge, and Intentions for Breast Cancer Screening in a Diverse Sample of Women Age Eligible for Mammography.乳腺密度意识与知识，以及符合乳房X光检查年龄的不同女性样本中乳腺癌筛查的意向
J Cancer Educ. 2019 Feb;34(1):90-97. doi: 10.1007/s13187-017-1271-y.
5
Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.临床实践中放射科医生对乳腺钼靶密度评估的差异：一项多中心观察性研究。
Ann Intern Med. 2016 Oct 4;165(7):457-464. doi: 10.7326/M15-2934. Epub 2016 Jul 19.
6
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.可靠性研究中组内相关系数选择与报告指南
J Chiropr Med. 2016 Jun;15(2):155-63. doi: 10.1016/j.jcm.2016.02.012. Epub 2016 Mar 31.
7
Evaluation of breast parenchymal density with QUANTRA software.使用QUANTRA软件评估乳腺实质密度。
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Imaging Breast Density: Established and Emerging Modalities.乳腺密度成像：既定与新兴模式
Transl Oncol. 2015 Dec;8(6):435-45. doi: 10.1016/j.tranon.2015.10.002.
9
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Breast J. 2015 Sep-Oct;21(5):481-9. doi: 10.1111/tbj.12443. Epub 2015 Jul 1.
10
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