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Contrast-Free Magnetic Resonance Imaging for Breast Disease

Contrast-Free Magnetic Resonance Imaging for Breast Disease

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05006196
Acronym
IMOGEN
Enrollment
1030
Registered
2021-08-16
Start date
2021-07-06
Completion date
2027-04-30
Last updated
2026-05-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer, Breast Diseases

Keywords

Breast imaging, Magnetic resonance imaging, Screening

Brief summary

Prospective, observational cohort study looking at patients either at risk of breast cancer or have clinically suspected breast to assess the diagnostic performance of quantitative, non-contrast MRI.

Detailed description

It is widely recognised that mammography is highly sensitive for detecting breast lesions and a valuable tool for early detection of breast cancer, especially in post-menopausal women with non-dense breast tissue. On post-menopausal non-dense breast tissue, mammography is 90% effective at identifying breast tumours. However, for dense breast tissue, the sensitivity falls to 67%. This means that for women with dense breast tissue, which includes almost all pre-menopausal women and many post- menopausal women, mammography misses one third of tumours. MRI is the imaging method of choice for detecting breast cancer in women with dense breast tissue however the standard MRI for breast cancer investigation typically uses gadolinium contrast agent. This method is called dynamic contrast enhanced (DCE) MRI and identifies localised regions of (neo)vascularity, which indicates a cancerous lesion. Although DCE can provide valuable information about the tissue, it is often not performed well, is poorly tolerated by patients, and adds additional time to the scan protocol. Perspectum conducted a recent study demonstrating that liver cancer lesions can be identified using quantitative T1 maps calculated form multiparametric MRI data. Applying this MRI method to breast imaging, would potentially provide a method of identifying breast cancer lesions without using a contrast agent, reducing the scan time and eliminating the need for an intravenous contrast. The aim of this study is to apply quantitative multiparametric MRI techniques to the area of breast imaging with the aim of developing a contrast-free MR scan which can diagnose the spectrum of breast disease referred to a secondary care breast clinic, including in women with dense breasts.

Interventions

DIAGNOSTIC_TESTOutpatient MRI

Participation in the study includes up to a maximum of 2 study visits. The visits will include clinical measurements (height, weight, blood pressure), blood tests, MRI scan and patient symptoms and experience questionnaires. There will be no medical interventions as part of the study. All participants will receive standard-of-care by their healthcare provider/s. With the participant's consent, the participant's primary care physician will be made aware of their participation in the study. Furthermore, participants will be informed of any structural abnormalities found in the MRI scan (e.g. abnormal vessels, haemangioma, tumour, cyst, among others) and abnormal blood test results as these may have clinical implications. These will be managed by the routine clinical care team as part of standard care.

Sponsors

Perspectum
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
30 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Female 30 years of age and over * Participant has been referred to a secondary care breast screening clinic. * Participant is willing and able to give informed consent for participation in the investigation.

Exclusion criteria

* The participant may not enter the study with any known contraindication to magnetic resonance imaging (including but not limited to a pacemaker or other metallic unfixed implanted device, metallic fragments, extensive tattoos, severe claustrophobia). * Any other cause, including a significant underlying disease or disorder which, in the opinion of the investigator, may put the participant at risk by participating in the study or limit the participant's ability to participate.

Design outcomes

Primary

MeasureTime frameDescription
Determine the diagnostic performance of a non-contrast MRI in breast disease36 monthsMapping multi-parametric algorithms and assessing diagnostic performance compared to standard of care using area under the receiver operative curve (AUROC)

Secondary

MeasureTime frameDescription
Qualitatively assess the participant experience of identifying breast disease using non-contrast MRI36 monthsProvide participants with a non validated questionnaire and summarise feedback on MR techniques compared to standard of care

Countries

United Kingdom

Contacts

PRINCIPAL_INVESTIGATORRajarshi Banerjee, MSc, DPhil

Honorary Consultant Physician, Oxford University NHS Foundation Trust

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 21, 2026