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N/A N=442 Screening

Case Collection Study to Support Digital Mammography Image Software Change

Breast Cancer

Enrolled (actual)
442
Serious AEs
0.0%
Results posted
Dec 2020
Primary outcome: Primary: Area Under the Receiver Operating Characteristic (ROC) Curve to Compare Diagnostic Accuracy of 2 Algorithms in Breast Cancer Diagnosis — 0.884; 0.880 probability

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
Mammography screening and diagnosis (Device)
Age
Adult, Older Adult · 40+ yrs
Sex
Female
Sponsor
Siemens Medical Solutions USA - CSG
Primary completion
Dec 2008

Outcome Measures

OutcomeResultp-value
PRIMARY
Area Under the Receiver Operating Characteristic (ROC) Curve to Compare Diagnostic Accuracy of 2 Algorithms in Breast Cancer Diagnosis
0.884; 0.880

Summary

The primary objective of this study is to compare image processing software to support a new image processing software application for a full-field digital mammography (FFDM) system.

Eligibility Criteria

Inclusion Criteria

  • Female
  • > 40 years

Exclusion Criteria

  • Pregnant women, or women who may become pregnant
  • Mammographic evidence of breast surgery, prior radiation to the breast, needle projection or pre-biopsy markings are evident in the mammogram (but may include breast implants)
  • Palpable lesion or one that is visible by another modality
  • Inmates
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT00756496). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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