Clinical trial · Observational
The Diagnostic Efficacy of Computer-Aided Detection (CAD) in Full-Field Digital Mammography (FFDM)- A Prospective Study
NCT00173303CI-TRIAL-00000149unknownClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
| Breast Neoplasms | Breast Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 20 Years
- Maximum age
- 90 Years
Show eligibility criteria text
Inclusion Criteria: * women for mammographic screening * women with breast disease Exclusion Criteria: * pregnant women
References
Publications (1)
- RESULTBrem RF, Hoffmeister JW, Zisman G, DeSimio MP, Rogers SK. A computer-aided detection system for the evaluation of breast cancer by mammographic appearance and lesion size. AJR Am J Roentgenol. 2005 Mar;184(3):893-6. doi: 10.2214/ajr.184.3.01840893. PMID 15728614