维生素D补充剂对基于深度学习的乳房扫描评价的影响在SWOG S081212中
Julia E McGuinness1, Garnet L Anderson2,3, Simukayi Mutasa4
1Department of Medicine, Columbia University Irving Medical Center and the Herbert Irving Comprehensive Cancer Center, New York, NY, USA.
JNCI cancer spectrum
|May 30, 2024
概括
维生素D补充剂没有改变高风险绝经前妇女深度学习乳房图分析的乳腺癌风险得分. 对乳腺癌化学预防生物标志物的进一步研究是必要的.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 深度学习模型可以分析乳房造影以评估乳腺癌风险.
- 评估乳腺癌化学预防反应的非侵入性生物标志物至关重要.
研究的目的:
- 评估维生素D3补充剂是否影响乳腺癌风险得分,这些得分来自对乳房影像应用的深度学习模型.
- 在高风险的绝经前妇女中,比较维生素D3和安慰剂组之间的基于卷积神经网络风险评分的变化.
主要方法:
- 一个卷积神经网络 (CNN) 模型被应用于SWOG S0812试验中的乳房图.
- 该研究包括208名绝经前妇女,随机分配给维生素D3 (每周20,000 IU) 或安慰剂12个月.
- 基于CNN的风险评分在基线,12个月和24个月被分析.
主要成果:
- 在12个月 (P=.875) 或24个月 (P=.563) 的维生素D3和安慰剂组之间,没有观察到基于CNN的风险得分变化的统计学上显著差异.
- 这些发现与初级试验分析一致,该分析显示维生素D补充剂对乳腺扫描密度没有显著变化.
结论:
- 基于深度学习的乳房扫描评估没有发现维生素D3补充剂对这一队列的乳腺癌风险得分有显著影响.
- 仍然需要确定可靠的生物标志物,以评估对新型乳腺癌化学预防策略的反应.
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