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Evaluation of TaiHao Breast Ultrasound Diagnosis Software

Primary Purpose

Breast Cancer, Breast Diseases

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Reader Group X - Session 1
Reader Group Y - Session 1
Reader Group X - Session 2
Reader Group Y - Session 2
Sponsored by
TaiHao Medical Inc.
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Breast Cancer

Eligibility Criteria

21 Years - undefined (Adult, Older Adult)FemaleDoes not accept healthy volunteers

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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

Sites / Locations

  • Arlington Innovation Center: Health Research - Virginia Tech

Arms of the Study

Arm 1

Arm 2

Arm 3

Arm 4

Arm Type

Active Comparator

Active Comparator

Active Comparator

Active Comparator

Arm Label

First session: manual review first and then review with CADx

First session: review with CADx first and then manual review

Second session: manual review first and then review with CADx

Second session: review with CADx first and then manual review

Arm Description

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.

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.

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.

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.

Outcomes

Primary Outcome Measures

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.

Secondary Outcome Measures

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.
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.

Full Information

First Posted
September 2, 2020
Last Updated
October 11, 2022
Sponsor
TaiHao Medical Inc.
Collaborators
Columbia University, Taipei Veterans General Hospital, Taiwan, Virginia Polytechnic Institute and State University
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1. Study Identification

Unique Protocol Identification Number
NCT04551105
Brief Title
Evaluation of TaiHao Breast Ultrasound Diagnosis Software
Official Title
Evaluation of TaiHao Breast Ultrasound Diagnosis Software
Study Type
Interventional

2. Study Status

Record Verification Date
October 2022
Overall Recruitment Status
Completed
Study Start Date
August 15, 2020 (Actual)
Primary Completion Date
November 1, 2020 (Actual)
Study Completion Date
November 1, 2020 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
TaiHao Medical Inc.
Collaborators
Columbia University, Taipei Veterans General Hospital, Taiwan, Virginia Polytechnic Institute and State University

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
Yes
Device Product Not Approved or Cleared by U.S. FDA
Yes
Data Monitoring Committee
Yes

5. Study Description

Brief 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 Computer-Assisted Detection and Diagnosis System (BR-USCAD DS) in interpreting breast ultrasound images of lesions.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Breast Cancer, Breast Diseases

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Crossover Assignment
Masking
None (Open Label)
Allocation
Randomized
Enrollment
16 (Actual)

8. Arms, Groups, and Interventions

Arm Title
First session: manual review first and then review with CADx
Arm Type
Active Comparator
Arm Description
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.
Arm Title
First session: review with CADx first and then manual review
Arm Type
Active Comparator
Arm Description
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.
Arm Title
Second session: manual review first and then review with CADx
Arm Type
Active Comparator
Arm Description
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.
Arm Title
Second session: review with CADx first and then manual review
Arm Type
Active Comparator
Arm Description
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.
Intervention Type
Diagnostic Test
Intervention Name(s)
Reader Group X - Session 1
Intervention Description
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.
Intervention Type
Diagnostic Test
Intervention Name(s)
Reader Group Y - Session 1
Intervention Description
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.
Intervention Type
Diagnostic Test
Intervention Name(s)
Reader Group X - Session 2
Intervention Description
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.
Intervention Type
Diagnostic Test
Intervention Name(s)
Reader Group Y - Session 2
Intervention Description
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.
Primary Outcome Measure Information:
Title
Comparing the Area Under the LROC Curve
Description
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.
Time Frame
10 weeks
Secondary Outcome Measure Information:
Title
The Reading Time Was Computed and Compared for Aim 1 (Baseline) and Arm 2 (With BU-CAD Assistance) Studies.
Description
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.
Time Frame
10 weeks
Title
The Sensitivity, Specificity, PPV, and NPV Were Computed and Compared for Aim 1 (Baseline) and Arm 2 (With BU-CAD Assistance) Studies.
Description
The mean sensitivity, specificity, PPV, and NPV of 16 readers were calculated and compared between the aided and unaided sessions using McNemar's test.
Time Frame
10 weeks

10. Eligibility

Sex
Female
Minimum Age & Unit of Time
21 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: 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 Exclusion Criteria: 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
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Shih Chung Lo, Ph.D.
Organizational Affiliation
Arlington Innovation Center: Health Research - Virginia Tech
Official's Role
Study Director
Facility Information:
Facility Name
Arlington Innovation Center: Health Research - Virginia Tech
City
Arlington
State/Province
Virginia
ZIP/Postal Code
22203
Country
United States

12. IPD Sharing Statement

Learn more about this trial

Evaluation of TaiHao Breast Ultrasound Diagnosis Software

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