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NCT Number: NCT07415499

Breast Density Impact on Mammographic Screening for Breast Cancer Diagnosis

This retrospective, observational study aims to evaluate how breast density affects the accuracy and outcomes of mammographic screening for breast cancer within the regional screening program "Prevenzione Serena".

Breast density is an important factor because dense breast tissue can make it more difficult to detect breast cancer on a mammogram. Dense tissue and tumors both appear white on a mammogram, which may hide abnormalities and lead to missed cancers or false-positive results.

Women aged 45 to 75 years who underwent routine mammographic screening at ASL CN2 between September 2023 and May 2024 will be included. Breast density will be classified using the BI-RADS system (categories A-D), and the study will assess whether women with dense breasts (categories C and D) experience higher rates of recalls for second-level examinations such as ultrasound, MRI, etc).

The study also includes an internal validation of Insight BD, an automated breast-density measurement software used at ASL CN2. The software will be evaluated using a mammography phantom (to verify technical accuracy) and by comparing its BI-RADS density classifications with readings from two radiologists (one expert and one less experienced). This will help determine whether the software can support radiologists, especially in evaluating dense breast tissue.

Additional factors such as menopausal status, family history of breast cancer, and hormone therapy will also be examined to understand how they relate to breast density and screening outcomes. The study aims to quantify the frequency of false-positive recalls-cases in which additional tests are recommended but cancer is not found-because these events can increase patient anxiety and healthcare workload.

Ultimately, this research seeks to provide evidence that may inform future screening guidelines and support more personalized approaches, particularly for women with dense breasts.

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Key information

Age range

45 year–75 year

Sex eligibility

Female

Study type

Observational

Primary location

SSD Fisica Sanitaria - Ospedale Michele e Pietro Ferrero di Verduno (CN) - ASL CN2

Verduno, Italy/CN, 12060, Italy

Location status: Recruiting

Location contact

Anna Sardo

SUB_INVESTIGATOR

Francesco Lucio, Principal Investigator

CONTACT

[email protected]

+39.0172.1408486

Francesco Testa

SUB_INVESTIGATOR

Michele Lo Bello

SUB_INVESTIGATOR

About this study

This retrospective, monocentric, observational study investigates the impact of breast density on mammographic screening performance in the regional program "Prevenzione Serena," implemented at ASL CN2 (Piedmont, Italy). The primary objective is to evaluate the association between BI-RADS breast-density categories and the frequency of recalls for second-level diagnostic examinations among women aged 45-75 undergoing screening mammography between 25 September 2023 and 3 May 2024.

Breast density is a known factor that can reduce the sensitivity of mammography. Dense fibroglandular tissue appears radiopaque and may mask suspicious lesions, leading to false-negative or false-positive examinations. Women with dense breasts (BI-RADS categories C-D) also have an independently increased risk of breast cancer. For these reasons, the study aims to characterize how breast density influences recall rates, diagnostic appropriateness, and overall screening performance in a real-world population.

A secondary goal is the internal validation of Insight BD, an automated breast-density assessment software integrated into the Siemens Mammomat Revelation mammography system used at ASL CN2. The validation includes:

  • Technical validation using a dedicated mammographic phantom with known density values to determine measurement accuracy and repeatability;
  • Diagnostic validation through comparison between the BI-RADS density category assigned by the software and those assigned by two radiologists (one expert, one non-expert).

The study will also examine associations between breast density and key clinical factors, including menopausal status, family history of breast cancer, and systemic hormone therapy. Furthermore, the frequency of false-positive recalls (additional testing without a final diagnosis of cancer) will be assessed, given their clinical, psychological, and organizational implications.

The study aims to characterize density-related patterns in screening performance, quantify false-positive recalls, and contribute evidence to support future updates to breast-screening guidelines and potential personalized screening strategies, especially for women with dense breast tissue.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Women aged 45 to 75 years who participated in the "Prevenzione Serena" mammography screening program and underwent screening mammography at ASL CN2 between September 25, 2023, and May 3, 2024.
  • Signed informed consent or equivalent substitute declaration, when applicable.

Exclusion criteria

  • Women with a history of mastectomy.
  • Women with breast implants.
  • Women with cardiac implantable devices, such as pacemakers or loop recorders.
  • Cases in which the Insight BD software cannot be applied due to compression thickness below 15 mm.

Treatment and study plan

No intervention is administered.

Other

No intervention is administered.

Primary outcomes

  1. Recall Rate for Second-Level Examinations by BI-RADS Breast Density Category

    Time frame: September 2023 - May 2024

    Percentage of women recalled for second-level diagnostic examinations among all women undergoing mammographic screening, calculated separately for each BI-RADS density category (A, B, C, D) and for the dichotomized groups A-B versus C-D.

Secondary outcomes

  1. Technical Performance of Insight BD: Accuracy and Repeatability on Breast Density Phantom

    Time frame: September 2023 - May 2024

    Evaluation of the volumetric breast density percentage produced by Insight BD on a standardized phantom, assessing measurement accuracy compared with the reference phantom values and repeatability across repeated acquisitions.

  2. Concordance Between Insight BD BI-RADS Classification and Radiologist Assessment

    Time frame: September 2023 - May 2024

    Diagnostic agreement between Insight BD BI-RADS breast density classification and radiologist assessments. The outcome includes:

    • Percent agreement with the expert radiologist (primary reference).
    • Percent agreement with a non-expert radiologist to evaluate the tool's impact on less-experienced readers.
  3. Recall Rate for Second-Level Examinations in Negative Mammographic Screens by BI-RADS Density

    Time frame: September 2023 - May 2024

    Proportion of women recalled for second-level diagnostic examinations among those with a negative screening mammogram, stratified by BI-RADS breast density categories (A, B, C, D) and by dichotomized density groups (A-B vs C-D).

  4. Distribution of Breast Density by Menopausal Status, Hormonal Therapy, and Family History

    Time frame: September 2023 - May 2024

    Proportion of participants in each BI-RADS breast density category (A, B, C, D), and in dichotomized density groups (A-B vs C-D), stratified by:

    menopausal status (pre/post-menopause), use of hormonal therapy (yes/no), family history of breast cancer (yes/no).

Study contacts

Contact information is provided by the study sponsor or research team.

Francesco Lucio, Principal Investigator

CONTACT

[email protected]

+39.0172.1408486

Sponsors and collaborators

Lead sponsor

Azienda Sanitaria Locale CN2 Alba-Bra

Other

Registry information

Official study title

Retrospective Study on Patients Undergoing Mammographic Screening to Evaluate the Impact of Breast Density on Breast Cancer Diagnosis

Acronym: SINATRA

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Feb 17, 2026
Registry last updated
Feb 17, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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