Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature.
Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature.
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DOI：
10.1007/s10552-023-01739-2
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发表时间：
2023-11
影响因子：
2.3
通讯作者：
Colditz, Graham A.
中科院分区：
文献类型：
--
作者：
Anandarajah, Akila;Chen, Yongzhen;Stoll, Carolyn;Hardi, Angela;Jiang, Shu;Colditz, Graham A.
对于女性来说，在不同的时间点进行乳房X光检查以跟踪乳房密度的变化可能很重要，因为乳房密度的波动会影响乳腺癌的风险。本系统综述旨在评估将重复乳腺X线摄影图像与乳腺癌风险联系起来的方法。检索了截至2021年10月的数据库，包括Medline（奥维德）1946-、Embase.com 1947-、CINAHL Plus 1937-、Scopus 1823-、科克伦图书馆（包括CENTRAL）和Clinicaltrials.gov。入选标准包括用英文发表的描述乳腺X线摄影特征变化与乳腺癌风险关系的文章。使用预后研究质量工具评估偏倚风险。共纳入20篇文章。乳腺成像报告和数据系统和Cumulus最常用于对乳腺X线摄影密度进行分类，自动评估用于最近的数字乳腺X线摄影。乳房X光检查之间的时间从1年到中位数4.1年不等，只有9项研究使用了两次以上的乳房X光检查。几项研究表明，增加密度或乳腺摄影特征的变化可以提高模型性能。研究偏倚风险的变化在预后因素测量和研究混杂因素中最高。该综述提供了最新的概述，并揭示了在评估纹理特征、风险预测和AUC方面的研究差距。我们为未来的研究提供了建议，使用重复测量方法对乳房X线摄影图像进行评估，以改善女性的风险分类和风险预测，从而根据风险水平制定筛查和预防策略。在线版本包含补充材料，可通过10.1007/s10552-023-01739-2获得。
It may be important for women to have mammograms at different points in time to track changes in breast density, as fluctuations in breast density can affect breast cancer risk. This systematic review aimed to assess methods used to relate repeated mammographic images to breast cancer risk. The databases including Medline (Ovid) 1946-, Embase.com 1947-, CINAHL Plus 1937-, Scopus 1823-, Cochrane Library (including CENTRAL), and Clinicaltrials.gov were searched through October 2021. Eligibility criteria included published articles in English describing the relationship of change in mammographic features with risk of breast cancer. Risk of bias was assessed using the Quality in Prognostic Studies tool. Twenty articles were included. The Breast Imaging Reporting and Data System and Cumulus were most commonly used for classifying mammographic density and automated assessment was used on more recent digital mammograms. Time between mammograms varied from 1 year to a median of 4.1, and only nine of the studies used more than two mammograms. Several studies showed that adding change of density or mammographic features improved model performance. Variation in risk of bias of studies was highest in prognostic factor measurement and study confounding. This review provided an updated overview and revealed research gaps in assessment of the use of texture features, risk prediction, and AUC. We provide recommendations for future studies using repeated measure methods for mammogram images to improve risk classification and risk prediction for women to tailor screening and prevention strategies to level of risk. The online version contains supplementary material available at 10.1007/s10552-023-01739-2.
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DOI：
10.1200/jco.22.01564
发表时间：
2023-05-10
期刊：
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1186/s13058-020-01340-4
发表时间：
2020-09-29
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
Brentnall AR;Warren R;Harkness EF;Astley SM;Wiseman J;Fox J;Fox L;Eriksson M;Hall P;Cuzick J;Evans DG;Howell A
通讯作者：
Howell A
影响因子：
3.3
作者：
Kang, Danbee;Kim, Ji-Yeon;Kang, Mira
通讯作者：
Kang, Mira
影响因子：
7.4
作者：
Brandt, Kathleen R.;Scott, Christopher G.;Vachon, Celine M.
通讯作者：
Vachon, Celine M.
利用事件发生时间结果和乳房 X 光成像数据进行监督二维功能主成分分析。
影响因子：
1.9
作者：
Jiang, Shu;Cao, Jiguo;Rosner, Bernard;Colditz, Graham A.
通讯作者：
Colditz, Graham A.