The Diagnostic Efficacy of Computer-Aided Detection (CAD) in Full-Field Digital Mammography (FFDM)- A Prospective Study

September 12, 2005 updated by: National Taiwan University Hospital
The purpose of this study is to evalute whether CAD (computer-aided detection) in FFDM (full-field digital mammography) can facilitate the detection rate of breast cancer on mammography compared with FFDM without CAD.

Study Overview

Status

Unknown

Conditions

Detailed Description

Mammography is currently the only documented effective imaging tool for breast cancer screening. However, the sensitivity of mammography may be reduced in dense breasts, and sometimes it is difficult to even perceive a very subtle cancer which presents as a small stellate lesion, or very faint microcalcifications, missed diagnosed thus occurs. Herein, some researchers in Western countries developed computer-aided detection (CAD) system to help radiologists detect subtle, easily overlooked findings to facilitate early breast cancer detection, and most of the research regarding CAD was used in screen-film mammography (SFM) system. Ikeda, et al, worked on the retrospective CAD usage of those negative mammograms which later developed breast cancers. CAD could correctly mark 40% of the areas on these mammograms reported negative previously that later developed evident cancers. However, 80% of these are only nonspecific findings, and do not warrant recall for additional workup even at retrospective unblinded review by well-trained mammographers. The other research concluded that CAD could improve early cancer detection rate of mammography, with the sensitivity of 92% in detection of breast cancer size smaller than 5mm, 94% for cancer size 11-15mm. CAD can detect more microcalcifications than masses (sensitivity for microcalcifications 98%, masses 84%, mass with microcalcifications 92%). CAD could mark an average of 1.3 false positive marks per mammographic exam.

Full-field digital mammography (FFDM) is a new approved technology for breast cancer detection after SFM era since 2000. The diagnostic accuracy of FFDM versus SFM is still under clinical trials, and it is believed the sensitivity and accuracy of FFDM for screening population is relatively equivalent to SFM. However, there are very few reports regarding the CAD application in FFDM, since FFDM can offer the post-acquisition processing on high-resolution review workstation for interpretation. Nevertheless, the spatial resolution of soft-copy reading on monitors for FFDM is slightly inferior to but the contrast resolution is slightly superior to that of conventional SFM. Herein, the diagnostic efficacy and role of CAD in FFDM are still unclear. Therefore, the goal of our study is to explore the sensitivity, false-negative (FN) and false-positive (FP) rates of combination usage of CAD in FFDM system, in comparison with the sensitivity, FN and FP rates of interpretation based on FFDM without CAD combination. We are also about to evaluate the efficacy, additional time spent in adjunct application CAD in FFDM interpretation, in order to assess the feasibility of CAD in FFDM.

Study Type

Observational

Enrollment

3000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • Taiwan
      • Taipei, Taiwan
        • National Taiwan University Hospital
        • Contact:
        • Principal Investigator:
          • Jane Wang, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

Female

Description

Inclusion Criteria:

  • women for mammographic screening
  • women with breast disease

Exclusion Criteria:

  • pregnant women

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

National Taiwan University Hospital

Investigators

  • Principal Investigator: Jane Wang, MD, National Taiwan University Hospital
  • Study Director: Tiffany TF Shih, MD, National Taiwan University Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2006

Study Completion

January 1, 2008

Study Registration Dates

First Submitted

September 12, 2005

First Submitted That Met QC Criteria

September 12, 2005

First Posted (Estimate)

September 15, 2005

Study Record Updates

Last Update Posted (Estimate)

September 15, 2005

Last Update Submitted That Met QC Criteria

September 12, 2005

Last Verified

June 1, 2005

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 9461700528

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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