Breast Cancer Clinical Trial
Official title:
Micrima MARIA Data Collection for Machine Learning Study
| Verified date | May 2022 |
| Source | Micrima, Ltd. |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
The MARIA® breast imaging system is a CE-marked radiofrequency (RF) medical imaging device. The system employs an electromagnetic imaging technique that exploits the dielectric contrast between normal and cancerous tissues. The use of artificial intelligence will provide additional, novel functionality to the MARIA® system but requires participant data in order to develop and validate the machine learning algorithms that aim to increase the accuracy and overall clinical utility of the device. This study aims to collect data from sites for this purpose.
| Status | Recruiting |
| Enrollment | 400 |
| Est. completion date | March 31, 2023 |
| Est. primary completion date | January 26, 2023 |
| Accepts healthy volunteers | No |
| Gender | Female |
| Age group | 18 Years and older |
| Eligibility | Inclusion Criteria To be eligible to participate in this study, a subject must meet all the following criteria: - Attending a symptomatic clinic or other appointment at a participating site - Female sex - 18 years or older - Able to provide informed consent - Not in any identified, vulnerable group Exclusion Criteria A potential subject who meets any of the following criteria will be excluded from participation in this study: - Unable to mount MARIA® participant bed - Unable to lie in the prone position for a period of up to 5 minutes - Participants who have undergone biopsy less than 5 days before the MARIA® scan - Participants with implanted electronics - Participants with breast implants - Participants with nipple piercings (unless they are removed prior to the MARIA® scan) - Breast sizes too small or too large to be suitable |
| Country | Name | City | State |
|---|---|---|---|
| United Kingdom | Leeds Teaching Hospitals NHS Foundation Trust | Leeds |
| Lead Sponsor | Collaborator |
|---|---|
| Micrima, Ltd. |
United Kingdom,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Validation of MARIA breast classifier for malignant/benign tissue using clinical information | The ground truth diagnosis for each participant will be obtained from clinical diagnosis information pertaining to histology and imaging. This will ultimately lead to a binary classification for that patient of either a benign or malignant diagnosis. This will then be compared to the classification that the AI has determined for that area of the breast volume. | 12 months | |
| Secondary | - Proportion of participants with invasive breast cancer in whom breast cancer is correctly identified by MARIA® | This will compare the number of participants that have been formally diagnosed, via biopsy, with breast cancer to those identified with breast cancer by MARIA | 12 months | |
| Secondary | - Proportion of participants in whom breast cancer is correctly detected using MARIA® compared with mammography, in the overall participants, and stratified by mammographic breast density (BIRADS A-D) and by histological tumour type (DCIS, IDC, ILC) | Further analysis on participants identified with breast cancer, but comparing directly to mammography, and stratifying with breast density and histology. | 12 months | |
| Secondary | - Participant tolerance using data obtained via a questionnaire | Participants asked for their opinion on the MARIA scan experience, likes and dislikes, and also comparison to other modalities. | 12 months |
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