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TRACE4BUS for BI-RADS Classification

TRACE4BUS: Use of the TRACE4BUS Software to Support the Physician in Reporting Breast Ultrasound Results According to the International Classification Standard Breast Image - Reporting and Data System (BI-RADS)

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06920108
Enrollment
590
Registered
2025-04-09
Start date
2025-04-30
Completion date
2026-10-31
Last updated
2025-04-09

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

Conditions

Breast Cancer

Keywords

Breast cancer, BI-RADS classification, Breast ultrasound

Brief summary

The purpose of this clinical study is to evaluate the use of the TRACE4BUS software that is proposed to support the physician in reporting the results of breast ultrasound according to the international classification standard Breast Image - Reporting and Data System (BI-RADS) of the American College of Radiology. This classification is recommended because it reduces the risk of subjective interpretations of descriptive results and prevents these results from being interpreted differently by the physician who evaluated the ultrasound examination, the physician who may have requested the examination, the patient and the patient's trusted physician (family physician or specialist). The BI-RADS classification is based on the evaluation of the shape, size, margins and other characteristics of a possible breast abnormality identified on the ultrasound image by the physician who evaluated the ultrasound examination, characteristics that are not always easy for that physician to evaluate. The study aims to verify if the BI-RADS classification by the physician can be supported by the TRACE4BUS software. In particular, it refers to the support that the software provides to the physician who has evaluated the ultrasound examination in assigning the BI-RADS category for an abnormality of the breast found to be suspicious by the physician on the basis of qualitative characteristics (shape, size, margins, preferential orientation with respect to the skin plane, internal homogeneity/inhomogeneity, possible acoustic barrier effect, etc.). The TRACE4BUS software, trained on the basis of hundreds of ultrasound images of suspicious breast masses with a certain diagnosis of benignity or malignancy at subsequent diagnostic investigations, performs a quantitative analysis of the ultrasound characteristics of a suspicious breast mass and proposes a BI-RADS category to the physician. In any case, the physician will have complete decision-making power in the final attribution of the BI-RADS category and in the subsequent recommendations or decisions regarding the medical management of the case. The clinical study also aims to evaluate whether the agreement between physicians in the use of this BI-RADS classification of suspicious breast masses improves with the use of the software.

Interventions

None listed

Sponsors

DeepTrace Technologies S.r.l.
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
FEMALE
Age
18 Years to 89 Years
Healthy volunteers
No

Inclusion criteria

1. Retrospective study part: * Availability of ultrasound-guided breast biopsy and, in case of B3 lesions at needle biopsy, the vacuum-assisted excision, or surgical specimens or a clinical follow-up outcome in at least 12 months subsequent to the biopsy. 2. Prospective study part: * Signed informed consent to participate in the study.

Exclusion criteria

1. Retrospective study part: * Not availability of ultrasound-guided breast biopsy and, in case of B3 lesions at needle biopsy, the vacuum-assisted excision, or surgical specimens, or a clinical follow-up outcome in at least 12 months subsequent to the biopsy. Age \< 18 or \> 89 years. 2. Prospective study part: * Not availability of Signed informed consent to participate in the study. Age \< 18 or \> 89 years.

Design outcomes

Primary

MeasureTime frameDescription
Specificity, positive predictive value, sensitivity and negative predictive valueFrom enrollment to biopsy up to 12-month follow-up when necessarySpecificity, positive predictive value, sensitivity and negative predictive value before knowing the BI-RADS category proposed by the TRACE4BUS software and after being informed of the software prediction of BI-RADS category by the TRACE4BUS software.

Secondary

MeasureTime frameDescription
K-Cohen9 months and 18 monthsK-Cohen to measure inter-rater agreement between two physicians before knowing the BI-RADS category proposed by the TRACE4BUS software and after being informed of the software prediction of BI-RADS category by the TRACE4BUS software
Number of correct answers on the use of TRACE4BUS as assessed in the training questionnaireFrom date of training in the use of TRACE4BUS software to the physicians to training efficacy questionnaire within 2 weeksNumber of correct answers in the training questionnaire to measure the effectiveness of the training in the use of TRACE4BUS software after one session. More than 70% (0% minimum score, 100% maximum score) of correct answers are required to demonstrate the effectiveness of the training.
Total scores on the usability of TRACE4BUS as assessed in the usability satisfaction questionnaire9 months and 18 monthsTotal scores on the usability satisfaction questionnaire to measure the usability satisfaction of TRACE4BUS. More than 70% of satisfaction (0% minimum satisfaction, 100% maximum satisfaction) is required to demonstrate the satisfaction on the usability of TRACE4BUS.

Other

MeasureTime frame
Number of software deficiencies, adverse software effects and adverse events for participants9 months and 18 months

Countries

Italy

Contacts

Primary ContactGianfranco Scaperrotta
Gianfranco.Scaperrotta@istitutotumori.mi.it+39 333 257 2380

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026