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NCT05181059: DECREAS

DLSCT for Breast Cancer Detection in Women With Dense Breasts

Status unknown Last updated 6 January 2022
What this trial tests

trial testing Dual-layer spectral computerized tomography (DLSCT) in Breast Neoplasms in 14 participants. Status unknown.

Timeline
1 January 2022
Primary endpoint
1 January 2023
1 January 2023

Quick facts

Lead sponsorRijnstate Hospital
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment14
Start date1 January 2022
Primary completion1 January 2023
Estimated completion1 January 2023
Sites1 location across Netherlands

Drugs / interventions tested

Conditions studied

Sponsor

Rijnstate Hospital

Who can join

18 and older, female only, with Breast Neoplasms or Breast Density. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Breast Neoplasms

Currently open trials in the same condition.

Other Rijnstate Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05181059.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing