Breast CancerNCT04551105
Evaluation of TaiHao Breast Ultrasound Diagnosis Software
A study testing Reader Group X - Session 1, Reader Group Y - Session 1 and Reader Group X - Session 2 in people with Breast Cancer and Breast Diseases, run by TaiHao Medical Inc. at 1 site in United States.
Trial summary
The BR-USCAD DS Module is a computer-assisted detection and diagnosis software based on a deep learning algorithm. This retrospective, fully-crossed, multi-reader, multi-case (MRMC) study aims to compare the performances of readers without and with the aid of the Breast Ultrasound Image Reviewed with Assistance of… Read more about this study
- Who is it for?
- Ages 21 years and older, women only
- Conditions the study is for
- Breast Cancer, Breast Diseases
- What is being tested?
- Reader Group X - Session 1, Reader Group Y - Session 1 and Reader Group X - Session 2
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 16 participants
- Where
- 1 siteUnited States
- Study dates
- 15 Aug 2020to 1 Nov 2020
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 21 years and older
- Women only
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- B-mode breast ultrasound image
- Female, age 21 or older
- Breast lesion images acquired before a biopsy or surgery - these images were retrospectively collected with histology report.
- Non-biopsied benign lesions with negative follow-up for a minimum of 24 months
- At least two orthogonal views of a lesion
Who cannot join
- Breast lesion images acquired after biopsy or surgery.
- Any breast surgeries or interventional procedures in the 12 months prior to ultrasound imaging
- Case demonstrating administrative or technical errors
- Multiple lesions in one 2-D ultrasound image
- Breast ultrasound images with Doppler, elastography, or other overlays present
- Case with less than 2-year follow-up and without biopsy confirmation
Trial locations and contacts
1 site in 1 country.
United States1 site
Arlington Innovation Center: Health Research - Virginia Tech
Arlington, Virginia, 22203
About this study
The BR-USCAD DS Module is a computer-assisted detection and diagnosis software based on a deep learning algorithm. This retrospective, fully-crossed, multi-reader, multi-case (MRMC) study aims to compare the performances of readers without and with the aid of the Breast Ultrasound Image Reviewed with Assistance of Computer-Assisted Detection and Diagnosis System (BR-USCAD DS) in interpreting breast ultrasound images of lesions.
- Conditions
- Breast Cancer, Breast Diseases
- Being tested
- Reader Group X - Session 1, Reader Group Y - Session 1, Reader Group X - Session 2, Reader Group Y - Session 2
- Medical subject headings
- Breast Neoplasms, Breast Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Reader Group X - Session 1Diagnostic test
Each rater in "Reader Group X" will interpret the "dataset A" cases in different random order without BR-USCAD DS and interpret the "dataset B" cases in different random order with BR-USCAD DS.
Reader Group Y - Session 1Diagnostic test
Each rater in "Reader Group Y" will interpret the "dataset A" cases in different random order with BR-USCAD DS and interpret the "dataset B" cases in different random order without BR-USCAD DS.
Reader Group X - Session 2Diagnostic test
Each rater in "Reader Group X" will interpret the "dataset A" cases in different random order with BR-USCAD DS and interpret the "dataset B" cases in different random order without BR-USCAD DS.
Reader Group Y - Session 2Diagnostic test
Each rater in "Reader Group Y" will interpret the "dataset A" cases in different random order without BR-USCAD DS and interpret the "dataset B" cases in different random order with BR-USCAD DS.
| Study group | Role | What they receive |
|---|---|---|
| First session: manual review first and then review with CADx | Active comparator | Reader Group X interpret the "Dataset A" cases in different random order without any assistance of AI first, and then interpret the "Dataset B" cases in different random order with TaiHao AI system. Receives: Diagnostic Test: Reader Group X - Session 1 |
| First session: review with CADx first and then manual review | Active comparator | Reader Group Y interpret the "Dataset A" cases in different random order with TaiHao AI system first, and then interpret the "Dataset B" cases in different random order without any assistance of AI. Receives: Diagnostic Test: Reader Group Y - Session 1 |
| Second session: manual review first and then review with CADx | Active comparator | At least 4 weeks after first session for memory washing out. Reader Group X interpret the "Dataset A" cases in different random order with TaiHao AI system first, and then interpret the "Dataset B" cases in different random order without any assistance of AI. Receives: Diagnostic Test: Reader Group X - Session 2 |
| Second session: review with CADx first and then manual review | Active comparator | At least 4 weeks after first session for memory washing out. Rader Group Y interpret the "Dataset A" cases in different random order without any assistance of AI first, and then interpret the "Dataset B" cases in different random order with TaiHao AI system. Receives: Diagnostic Test: Reader Group Y - Session 2 |
What is being measured
The primary outcome is the main question the study is designed to answer.
Comparing the Area Under the LROC Curve
The area under the LROC curve (AUC_LROC) on the diagnosis of benign and malignant lesions was computed and compared for Aim 1 (baseline) and Arm 2 (with BU-CAD assistance) studies.
Measured: 10 weeks
Secondary outcomes (2)
The Reading Time Was Computed and Compared for Aim 1 (Baseline) and Arm 2 (With BU-CAD Assistance) Studies.
Each reader's reading time of a case was automatically recorded by the BU-CAD system.
the average reading times of 16 readers with and without outlier reading times were compared between the aided and unaided sessions using the paired t-test.
Measured: 10 weeks
The Sensitivity, Specificity, PPV, and NPV Were Computed and Compared for Aim 1 (Baseline) and Arm 2 (With BU-CAD Assistance) Studies.
The mean sensitivity, specificity, PPV, and NPV of 16 readers were calculated and compared between the aided and unaided sessions using McNemar's test.
Measured: 10 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Sep 2020
- Study start15 Aug 2020
- Primary completion1 Nov 2020
- Study completion1 Nov 2020
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Other trials for Breast CancerStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Enrolment
- 16 participants (actual)
Sponsor and investigators
- Lead sponsor
- TaiHao Medical Inc.
- Sponsor type
- Industry (pharma, biotech, devices)
- Collaborators
- Columbia University, Taipei Veterans General Hospital, Taiwan, Virginia Polytechnic Institute and State University
- Responsible party
- Sponsor
- Investigators
- Shih Chung Lo, Ph.D., Study director, Arlington Innovation Center: Health Research - Virginia Tech
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04551105
- Sponsor's protocol ID
- TaiHao BR-USCAD VT 20-249
- Status last verified
- Oct 2022
- First submitted
- 2 Sep 2020
- Last updated
- 2 Nov 2022
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
Study at a glance
From the registry record, last updated by the sponsor on 2 Nov 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of TaiHao Breast Ultrasound Diagnosis Software
- ClinicalTrials.gov ID
- NCT04551105
- Acronym / sponsor ID
- TaiHao BR-USCAD VT 20-249
- Conditions
- Breast Cancer, Breast Diseases
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 16 participants (actual)
- Lead sponsor
- TaiHao Medical Inc.Industry (pharma, biotech, devices)
- Collaborators
- Columbia University, Taipei Veterans General Hospital, Taiwan, Virginia Polytechnic Institute and State University
- Study start
- 15 Aug 2020 (actual)
- Primary completion
- 1 Nov 2020 (actual)
- Study completion
- 1 Nov 2020 (actual)
- First posted
- 16 Sep 2020 (actual)
- Results
- Posted 2 Nov 2022
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The BR-USCAD DS Module is a computer-assisted detection and diagnosis software based on a deep learning algorithm. This retrospective, fully-crossed, multi-reader, multi-case (MRMC) study aims to compare the performances of readers without and with the aid of the Breast Ultrasound Image Reviewed with Assistance of Computer-Assisted Detection and Diagnosis System (BR-USCAD DS) in interpreting breast ultrasound images of lesions.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 4
| Arm | Type | Receives |
|---|---|---|
| First session: manual review first and then review with CADx | Active comparator | Diagnostic Test: Reader Group X - Session 1Reader Group X interpret the "Dataset A" cases in different random order without any assistance of AI first, and then interpret the "Dataset B" cases in different random order with TaiHao AI system. |
| First session: review with CADx first and then manual review | Active comparator | Diagnostic Test: Reader Group Y - Session 1Reader Group Y interpret the "Dataset A" cases in different random order with TaiHao AI system first, and then interpret the "Dataset B" cases in different random order without any assistance of AI. |
| Second session: manual review first and then review with CADx | Active comparator | Diagnostic Test: Reader Group X - Session 2At least 4 weeks after first session for memory washing out. Reader Group X interpret the "Dataset A" cases in different random order with TaiHao AI system first, and then interpret the "Dataset B" cases in different random order without any assistance of AI. |
| Second session: review with CADx first and then manual review | Active comparator | Diagnostic Test: Reader Group Y - Session 2At least 4 weeks after first session for memory washing out. Rader Group Y interpret the "Dataset A" cases in different random order without any assistance of AI first, and then interpret the "Dataset B" cases in different random order with TaiHao AI system. |
Who may qualify
- Ages
- 21 years and older
- Sex
- Female only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- B-mode breast ultrasound image
- Female, age 21 or older
- Breast lesion images acquired before a biopsy or surgery - these images were retrospectively collected with histology report.
- Non-biopsied benign lesions with negative follow-up for a minimum of 24 months
- At least two orthogonal views of a lesion
Key exclusion criteria (6 listed)
- Breast lesion images acquired after biopsy or surgery.
- Any breast surgeries or interventional procedures in the 12 months prior to ultrasound imaging
- Case demonstrating administrative or technical errors
- Multiple lesions in one 2-D ultrasound image
- Breast ultrasound images with Doppler, elastography, or other overlays present
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Reader Group X - Session 1Each rater in "Reader Group X" will interpret the "dataset A" cases in different random order without BR-USCAD DS and interpret the "dataset B" cases in different random order with BR-USCAD DS. | Diagnostic test | First session: manual review first and then review with CADx |
| Reader Group Y - Session 1Each rater in "Reader Group Y" will interpret the "dataset A" cases in different random order with BR-USCAD DS and interpret the "dataset B" cases in different random order without BR-USCAD DS. | Diagnostic test | First session: review with CADx first and then manual review |
| Reader Group X - Session 2Each rater in "Reader Group X" will interpret the "dataset A" cases in different random order with BR-USCAD DS and interpret the "dataset B" cases in different random order without BR-USCAD DS. | Diagnostic test | Second session: manual review first and then review with CADx |
| Reader Group Y - Session 2Each rater in "Reader Group Y" will interpret the "dataset A" cases in different random order without BR-USCAD DS and interpret the "dataset B" cases in different random order with BR-USCAD DS. | Diagnostic test | Second session: review with CADx first and then manual review |
Primary outcome
Comparing the Area Under the LROC Curve
Time frame: 10 weeks
The area under the LROC curve (AUC_LROC) on the diagnosis of benign and malignant lesions was computed and compared for Aim 1 (baseline) and Arm 2 (with BU-CAD assistance) studies.
2 secondary outcomes
The Reading Time Was Computed and Compared for Aim 1 (Baseline) and Arm 2 (With BU-CAD Assistance) Studies.
Time frame: 10 weeks
The Sensitivity, Specificity, PPV, and NPV Were Computed and Compared for Aim 1 (Baseline) and Arm 2 (With BU-CAD Assistance) Studies.
Time frame: 10 weeks
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Nov 2022.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Shih Chung Lo, Ph.D. study director
Arlington Innovation Center: Health Research - Virginia Tech
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Reader Group X - Session 1, Reader Group Y - Session 1 and Reader Group X - Session 2 in people with Breast Cancer and Breast Diseases, run by TaiHao Medical Inc. at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 2 Nov 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 2 Nov 2022). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Comparing the Area Under the LROC Curve (time frame: 10 weeks). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Nov 2022.