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DLSCT for Breast Cancer Detection in Women With Dense Breasts (DECREAS)

R

Rijnstate Hospital

Status

Unknown

Conditions

Radiographic Image Interpretation, Computer-Assisted
Breast Density
Breast Neoplasms

Treatments

Diagnostic Test: Dual-layer spectral computerized tomography (DLSCT)

Study type

Observational

Funder types

Other

Identifiers

NCT05181059
NL76792.091.21

Details and patient eligibility

About

The main objective of this project is to demonstrate the feasibility of DLSCT to detect breast cancer in women with dense breasts.

Patients with locoregional advanced primary breast cancer and heterogeneously (n = 7) or extremely dense breasts (n = 7) as determined by mammography will be included in this study. These patients have an indication for a positron emission tomography computed tomography (PET-CT) scan to search for distant metastases. In this study the participants will undergo an additional contrast enhanced DLSCT scan to determine the feasibility of spectral CT to detect breast cancer in women with dense breasts.

Enrollment

14 estimated patients

Sex

Female

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Diagnosis of histopathologically proven locoregional advanced primary breast cancer:

    1. Tumors > 5 cm (= T3) or
    2. Tumors with invasion of the skin or chest wall (= T4) or
    3. Any tumor with ≥ 4 axillary lymph nodes or ipsilateral internal mammary, infraclavicular or supraclavicular nodal involvement (= N2-3)
  • Heterogeneously or extremely dense breasts as described by visual assessment on full-field digital mammograms: category C or D according to the ACR BI-RADS lexicon

Exclusion criteria

  • History of allergic reactions to iodinated contrast agents
  • Pregnancy or breast feeding
  • Treatment of thyroid disease with radioactive iodine
  • Use of metformin
  • Creatinine clearance < 45 ml/min
  • Chronic or acutely worsening renal disease
  • Patients who are declared incompetent

Trial contacts and locations

1

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Central trial contact

Carla M Meeuwis, MD,PhD

Data sourced from clinicaltrials.gov

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