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| Name | Class |
|---|---|
| University of Barcelona | OTHER |
| Universitat de Girona | OTHER |
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Breast cancer (BC) is the most frequently diagnosed cancer in women worldwide. The cause of developing BC is currently unknown. However, there are several risk factors, such as volumetric breast density (VBD), which have been proved to have a relationship with BC. The assessment of breast density is typically performed subjectively using the 4-classes density classification described by American College of Radiology. However, in the last years, automated breast density software tools have been developed (e.g. Volpara, Quantra). In this work, VBD measurements from VolparaTM (v. 1.5.4.0) will be compared between Full-Field Digital Mammography (FFDM) and Digital Breast Tomosynthesis (DBT) of the same pacient ('combo mode'). Images will be acquired in a Hologic Selenia Dimensions, the most common FFDM/DTB system, where image resolution is different for FFDM (70 um) and DBT (140 um).
This study (1) evaluates the consistency between Volpara's breast density measurements and spatial distribution for the two imaging techniques (FFDM and DBT) in a Hologic Selenia Dimensions, and (2) compares VDB measurements with other similar tool (Quantra) and radiologists breast density manual classification.
Monocentric, prospective and observational study which will analyse a series of 300 cases (FFDM + DBT) from consecutive women. Image acquisitions will take place within the Área de radiología Mamaria y Ginecológica located at Parc Taulí Hospital Universitari, Sabadell. The purposes of this study will be explained to each potential candidate and if agreed to participate, a consent form will be signed.
Inclusion criteria:
Exclusion criteria:
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Volpara | Device | This tool represents a physics-based model which extract pixel-wise information from the FFDM or DBT images, and combine it with metadata information from the DICOM header and appropriate linear attenuation coefficients of both adipose and glandular tissue. |
| Measure | Description | Time Frame |
|---|---|---|
| Consistency of breast density measurements from the latest VolparaTM breast density tool for Hologic's FFDM and DBT images (i.e. combo mode). | 1 year | |
| Comparison of VolparaTM's Volumetric Breast Density measurements and its 4-classes density rating measured in DBT against QuantraTM 3D and radiologist's BI-RADS manual classification | 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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Asymptomatic women with age greater than 40 who has signed a consent form.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Oliver Diaz, PhD | Contact | +34 93 402 08 55 | oliver.diaz@ub.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Radiology Breast Unit, Hospital Parc Taulí | Recruiting | Sabadell | Barcelona | 08208 | Spain |
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| Label | URL |
|---|---|
| Breast density software which will be evaluated | View source |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| D017437 |
| Skin and Connective Tissue Diseases |