跳至主要内容
临床试验/NCT02042456
NCT02042456终止不适用

Automated Breast Ultrasound and Digital Breast Tomosynthesis Screening Compared to Full Field Digital Mammography in Women With Dense Breasts

GE Healthcare1 个研究点 分布在 1 个国家目标入组 124 人开始时间: 2014年4月最近更新:
适应症

试验速览

阶段
不适用
状态
终止
发起方
GE Healthcare
入组人数
124
试验地点
1
主要终点
Abnormal interpretation rate

研究概览

简要总结

This study is investigating whether automated whole breast ultrasound can improve detection of cancer in breast cancer screening when used as a supplement to mammography or as a supplement to digital breast tomosynthesis

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
Female
接受健康志愿者

入选标准

  • Able and willing to provide signed declaration of informed consent or have a legally authorized representative provide signed declaration of informed consent for participation in all study procedures;
  • Women aged ≥18 years at the time of enrollment;*
  • Women with a previous determination of dense breasts determined by mammogram as heterogeneously dense or extremely dense;
  • At moderately increased or high risk (>15% lifetime risk) for breast cancer based on meeting one or more of the ACS criteria 1:
  • AND Referred for screening mammography

排除标准

  • Have been screened using any breast imaging technology in <12 months immediately prior to enrollment;
  • Exhibit breast cancer symptoms according to assessment by the subject's health care provider within one year prior to enrollment;
  • Diagnosed with breast cancer, with or without metastasis, within one year prior to enrollment;
  • Are currently pregnant as determined per standard clinical practice at the investigational site;
  • Present with contraindications to any imaging examination required in the study protocol;
  • Have breast implants; OR
  • Are lactating.

结局指标

主要结局

Abnormal interpretation rate

时间窗: One Year

Abnormal interpretation rates for each modality (FFDM and DBT+V-Preview, with and without ABUS+V-Preview).

次要结局

  • Sensitivity(One Year)
  • Specificity(One Year)
  • Cancer Rate(One Year)
  • Positive Predictive Value(One Year)
  • Negative Predictive Value(One Year)

研究者

发起方
GE Healthcare
申办方类型
Industry
责任方
Sponsor

研究点 (1)

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