跳至主要内容
临床试验/NCT04949776
NCT04949776已完成不适用

New Strategies Based on Artificial Intelligence in Breast Cancer Screening Programs in Córdoba With Digital Mammography and Digital Breast Tomosynthesis. A Prospective Evaluation.

Maimónides Biomedical Research Institute of Córdoba2 个研究点 分布在 1 个国家目标入组 31,301 人开始时间: 2022年3月15日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
31,301
试验地点
2
主要终点
Detection rate

研究概览

简要总结

The use of artificial intelligence software in breast screening (Transpara®) makes it possible to identify studies with a very low probability of cancer.

The hypothesis raised in this work is that reading strategies based on artificial intelligence (single or double reading only of cases with a score> 7 with Transpara®), allow reducing the workload of a screening program by more than 50 % with respect to the standard reading of the program (double reading of all cases without Transpara®), without presenting inferiority in terms of detection rates and recalls of the program, both with the use of 2D digital mammography and with the use of tomosynthesis or 3D mammogram.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

年龄范围
50 Years 至 71 Years(Adult, Older Adult)
性别
Female
接受健康志愿者

入选标准

  • All women between 50 and 71 years of age (including women who reach that age in the year of appointment), in the Reina Sofía University Hospital district, invited to participate in the Breast Cancer Early Detection Program, that have been randomly assigned in the Hologic equipment (DM or DBT), and who agree to participate in the study by signing the informed consent form.
  • Women studied in the program during the established period and who have previously participated.
  • Women studied in the program for the first time in the established period.

排除标准

  • Women invited to the program who do not agree to participate in the research study by signing the informed consent form.
  • Women with breast prostheses.
  • Women with signs or symptoms of suspected breast cancer.

结局指标

主要结局

Detection rate

时间窗: At the end of the study, at 2 years.

Proportion of women diagnosed with breast cancer among those screened.

Recall or referral rate

时间窗: At the end of the study, at 2 years.

Proportion of women who, after the screening test, are referred to the breast diagnosis unit.

Assessment of Workload of each strategy

时间窗: At the end of the study, at 2 years.

The workload of each strategy shall be assessed by multiplying the average time for a reading of that strategy by the total number of readings of that strategy. The average reading time of a case in each strategy shall be calculated from the measurement of the individual reading time in a sample of 500 cases in each strategy.

次要结局

  • Positive predictive value of biopsies(At the end of the study, at 2 years.)
  • Positive predictive value of referrals(At the end of the study, at 2 years.)
  • Positive predictive value of Transpara® scores(At the end of the study, at 2 years.)

研究者

发起方
Maimónides Biomedical Research Institute of Córdoba
申办方类型
Other
责任方
Sponsor

研究点 (2)

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