- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06920108
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)
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.
Study Overview
Status
Conditions
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Gianfranco Scaperrotta
- Phone Number: +39 333 257 2380
- Email: Gianfranco.Scaperrotta@istitutotumori.mi.it
Study Locations
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Lombardy
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Milan, Lombardy, Italy, 20133
- Fondazione IRCCS Istituto Nazionale dei Tumori
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Contact:
- Gianfranco Scaperrotta
- Phone Number: +39 333 257 2380
- Email: Gianfranco.Scaperrotta@istitutotumori.mi.it
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Contact:
- Gianfranco Scaperrotta
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
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.
Prospective study part:
- Signed informed consent to participate in the study.
Exclusion Criteria:
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.
Prospective study part:
- Not availability of Signed informed consent to participate in the study. Age < 18 or > 89 years.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Retrospective cohort
The investigators propose a retrospective study on patients aged ≥18 years, who have had breast masses detected on ultrasound and considered suspicious for breast cancer by physicians expert in breast ultrasound at the Breast Radiology Unit of the National Cancer Institute, Milan, Italy, from January 1, 2020 to December 31, 2021.
These ultrasound images of breast masses will be those acquired in the context of ultrasound-guided core needle biopsy.
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Prospective cohort
The investigators propose a prospective design on consecutive patients (age > 18 years) with breast masses detected by ultrasound and considered suspicious for breast cancer by physicians with experience in breast ultrasound at the same clinic, from the approval data of the Ethics Committee until completion of the expected sample size.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Specificity, positive predictive value, sensitivity and negative predictive value
Time Frame: From enrollment to biopsy up to 12-month follow-up when necessary
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Specificity, 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.
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From enrollment to biopsy up to 12-month follow-up when necessary
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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K-Cohen
Time Frame: 9 months and 18 months
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K-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
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9 months and 18 months
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Number of correct answers on the use of TRACE4BUS as assessed in the training questionnaire
Time Frame: From date of training in the use of TRACE4BUS software to the physicians to training efficacy questionnaire within 2 weeks
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Number 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.
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From date of training in the use of TRACE4BUS software to the physicians to training efficacy questionnaire within 2 weeks
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Total scores on the usability of TRACE4BUS as assessed in the usability satisfaction questionnaire
Time Frame: 9 months and 18 months
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Total 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.
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9 months and 18 months
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Other Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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Number of software deficiencies, adverse software effects and adverse events for participants
Time Frame: 9 months and 18 months
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9 months and 18 months
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Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- TRACE4BUSv2.0-CIP-1
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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