Reply to Hopper, Nguyen, and Li.

Reply to Hopper, Nguyen, and Li.
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DOI:
10.1093/jncics/pkab052
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发表时间:
2021-08
影响因子:
4.4
通讯作者:
Toriola AT
Toriola AT
中科院分区:
其他
文献类型:
--
作者:
Salazar AS;Toriola AT

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我们感谢Hopper及其同事(1)对我们关于化学预防剂降低绝经前妇女乳腺摄影乳腺密度的临床试验的系统评价的兴趣。我们同意作者的观点,即乳房X线摄影致密的乳房可以掩盖现有的肿瘤,因此增加了间隔癌的发病率。研究还表明,广泛的乳房X线摄影密度与筛查检测到的乳腺癌风险密切相关,并且是乳腺癌的一个重要风险因素(2,3)。值得注意的是,来自乳腺癌监测联盟的数据显示,相当大比例的乳腺癌(绝经前女性39%,绝经后女性26%)可归因于致密乳房(4)。我们承认,乳房X线摄影乳腺密度无法捕捉到各种乳腺实质模式,这可能会独立驱动乳腺癌的发展。这一领域的研究已经产生了新的发现,需要在不同的研究人群中进行确认,作为实现更大采用和广泛实用的第一步。例如,最近的一项研究确定了放射组学表型,这些表型反映了乳房X线摄影乳腺密度之外的乳房X线摄影实质复杂性的内在特性,这也与乳腺癌风险独立相关(5)。
We thank Hopper and colleagues (1) for their interest in our systematic review of clinical trials on chemoprevention agents to reduce mammographic breast density in premenopausal women. We agree with the authors that mammographically dense breasts can mask existing tumors and therefore increase the incidence of interval cancers. Studies have also demonstrated that extensive mammographic density is strongly associated with risk of breast cancer detected by screening and is a strong risk factor for breast cancer (2, 3). Notably, data from the Breast Cancer Surveillance Consortium showed that a substantial proportion of breast cancers (39% in premenopausal women and 26% in postmenopausal women) can be attributed to having dense breasts (4).We acknowledge that there are various breast parenchyma patterns that are not captured within mammographic breast density, which may drive breast cancer development independently. Research in this area has generated novel findings that require confirmation in diverse study populations as a first step toward greater adoption and widespread utility. For instance, a study recently identified radiomic phenotypes that reflect intrinsic properties of mammographic parenchymal complexity beyond mammographic breast density, which was also independently associated with breast cancer risk (5).
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