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Ultrasound-based Breast Cancer Screening in Chinese Women

Chinese Academy of Medical Sciences & Peking Union Medical College logo

Chinese Academy of Medical Sciences & Peking Union Medical College

Status

Unknown

Conditions

Breast Cancer

Treatments

Other: ultrasound plus clinical breast examination

Study type

Observational

Funder types

Other

Identifiers

NCT02268643
PUMCH-breast-screening 2

Details and patient eligibility

About

In the present study, the investigators will screen breast cancer of the Chinese women based on ultrasound and aim to compare the risk evaluation model of PUMCH model which was established by our previous work with other risk models.

Full description

Early detection of breast cancer through screening has been a common practice in the United States and several European countries for decades. It is effective in reducing the mortality of breast cancer and improving the postoperative quality of life of patients. Mammography has been the standard imaging method for the screening, however, our previous study has shown that ultrasound is more sensitive and less expensive than mammography. In the present study, the investigators will screen breast cancer of the Chinese women based on ultrasound and aim to evaluate the risk model (PUMCH model) which was established by our previous work.

Enrollment

20,000 estimated patients

Sex

Female

Ages

35 to 75 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Written informed consent;
  • residence from community or working units

Exclusion criteria

  • pregnancy;
  • lactation;
  • known metastatic cancer;
  • signs or symptoms of breast disease;
  • presence of breast implants, breast surgery within prior 12 months;
  • had mammography or ultrasound exam within prior 12 months
  • males.

Trial design

20,000 participants in 1 patient group

group 1
Description:
ultrasound plus clinical breast examination
Treatment:
Other: ultrasound plus clinical breast examination

Trial contacts and locations

16

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Central trial contact

Sun Qiang, MD; Shen Songjie, MD

Data sourced from clinicaltrials.gov

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