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RecruitingNCT07915050Updated Nov 4, 2026

Evaluation of Scanning and Diagnostic Performance of an Autonomous Dual-Arm Breast Ultrasound Robot

An observational study in Breast Diseases, sponsored by Huazhong University of Science and Technology. Recruiting at 4 sites in China. Open to female participants aged 18 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-04.

Sponsored by Huazhong University of Science and Technology · Observational

From the registry’s dates

  • Started Jun 2026; still recruiting 5 months later.
Updated Nov 4, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
885
Ages
18 Years to 80 Years
Sex
Female
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Study summary

This prospective, multicenter, intraindividual paired study aims to evaluate the autonomous scanning performance of a dual-arm robotic breast ultrasound system and the diagnostic performance of the images it acquires, in comparison with conventional handheld ultrasound. The study primarily focuses on the agreement between diagnostic assessments based on images obtained using the two examination methods, while also evaluating image quality, lesion detection, and measurement performance. The robotic ultrasound findings will be collected for research purposes only and will not be used to guide clinical management; all clinical decisions will be based on routine clinical assessment.

Read the detailed description

This is a prospective, multicenter, non-randomized, intraindividual paired clinical study. All eligible participants will undergo both autonomous breast ultrasound scanning using a dual-arm robotic ultrasound system and conventional handheld ultrasound examinations, with complete ultrasound images and videos retained for both examinations. Two senior ultrasound experts will independently review images from both modalities in a blinded manner, assessing lesion detection, localization, long and short diameters, sonographic features, and Breast Imaging Reporting and Data System (BI-RADS) categories. Disagreements will be resolved by a third expert.

The primary outcome is the agreement between expert BI-RADS assessments based on robotic ultrasound images and those based on conventional handheld ultrasound images. Secondary outcomes include imaging completeness and quality, lesion detection and localization, agreement in lesion size measurements, and patient-reported examination experiences. Additionally, the study will explore the patient-level diagnostic sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of both examination methods for breast cancer detection, as well as the impact of the robotic ultrasound AI-assisted diagnostic system on physicians' diagnostic performance.

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Conditions studied

  • Breast Diseases

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03

In context

Breast Diseases

148 studies on the registry are indexed under Breast Diseases; 26 are open to participants now.

This study's planned enrollment of 885 is above the median of 213 across 50 observational studies indexed under Breast Diseases.

Browse Breast Diseases studies →

Lead sponsor

Huazhong University of Science and Technology is the lead sponsor of 247 studies on the registry; 62 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Participants will be recruited from the breast ultrasound outpatient clinics of three participating hospitals in Hubei Province, China. The study population will consist of adults aged 18-80 years with no history of breast cancer who voluntarily participate in breast ultrasound screening. All eligible participants will undergo conventional handheld breast ultrasound followed by autonomous dual-arm robotic breast ultrasound.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Aged 18-80 years.
  2. No history of breast cancer.
  3. Willing to voluntarily participate in breast screening.

Exclusion criteria

Exclusion Criteria:

  1. History of breast resection surgery.
  2. Pregnant or breastfeeding women.
  3. Presence of prosthetic implants.
  4. Women with an allergy to ultrasound coupling gel.
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
885 participants (estimated)
Patient registry
No

Groups and cohorts

  • Breast Ultrasound Screening Cohort

    Eligible participants will undergo conventional handheld breast ultrasound followed by autonomous dual-arm robotic breast ultrasound.

    Diagnostic Test: Autonomous Dual-Arm Robotic Breast Ultrasound

Interventions

  • Diagnostic testAutonomous Dual-Arm Robotic Breast Ultrasound

    Participants will undergo autonomous dual-arm robotic breast ultrasound after conventional handheld ultrasound. The system will autonomously perform breast scanning and acquire ultrasound images for subsequent evaluation of imaging and diagnostic performance. The robotic ultrasound results will not be used to guide clinical management.

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What researchers measure

Primary outcomes

  1. Agreement Between Expert BI-RADS Classifications Based on Robotic and Handheld Breast Ultrasound Images

    Time frame: 6 weeks after completion of image collection for all participants

Secondary outcomes

  1. Proportion of Examinations With Complete Breast Coverage Assessed by Expert Review of Ultrasound Recordings

    Breast scanning completeness will be assessed through expert review of the complete ultrasound recordings obtained using robotic and handheld ultrasound. Each examination will be classified as complete or incomplete (Yes/No) according to whether the predefined breast scanning regions are adequately covered. The outcome will be reported as the percentage of complete examinations for each modality.

    Time frame: 6 weeks after completion of image collection for all participants

  2. Overall Breast Ultrasound Image Quality Assessed Using a 5-Point Expert Rating Scale

    Overall image quality will be evaluated by experienced breast ultrasound experts using a 5-point ordinal rating scale (1 = poorest quality; 5 = best quality) based on the complete ultrasound recordings acquired using each modality.

    Time frame: 6 weeks after completion of image collection for all participants

  3. Lesion-Level Detection Sensitivity

    Time frame: 6 weeks after completion of image collection for all participants

  4. Mean Number of False-Positive Lesion Detections per Breast Ultrasound Examination

    Time frame: 6 weeks after completion of image collection for all participants

  5. Lesion Detection Precision

    Time frame: 6 weeks after completion of image collection for all participants

  6. Proportion of Breast Lesions With Accurate Localization Based on Expert Reference Assessment

    Time frame: 6 weeks after completion of image collection for all participants

  7. Agreement in Lesion Diameter Measurements

    Time frame: 6 weeks after completion of image collection for all participants

  8. Agreement Between Robotic and Handheld Ultrasound in Sonographic Features (Shape, Orientation, Margin, Echogenicity, and Posterior Acoustic Features) of Breast Lesions

    Time frame: 6 weeks after completion of image collection for all participants

  9. Patient-Reported Overall Satisfaction Score Using a 5-Point Questionnaire

    Responses will be coded on a 5-point ordinal scale: 1 = very dissatisfied, 2 = dissatisfied, 3 = neutral, 4 = satisfied, and 5 = very satisfied. Higher scores indicate greater satisfaction.

    Time frame: 6 weeks after completion of image collection for all participants

  10. Patient-Reported Pain, Probe Pressure, and Anxiety Scores Assessed Using a 5-Point Questionnaire

    Each item will be coded on a 5-point ordinal scale, ranging from 1 (none) to 5 (very pronounced). Higher scores indicate greater perceived pressure, pain, or anxiety.

    Time frame: 6 weeks after completion of image collection for all participants

  11. Patient-Level Diagnostic Performance for Breast Cancer (Sensitivity, Specificity, AUC)

    Time frame: 6 weeks after completion of image collection for all participants

  12. Impact of AI Assistance on Physicians' Diagnostic Performance(Sensitivity, Specificity, AUC)

    Time frame: 6 weeks after completion of image collection for all participants

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Study locations

3 of 4 sites recruiting
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

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Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 4, 2026
Show all 1 update
  1. Nov 4, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

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Registry details

Key details

Study ID
NCT07915050
Collaborators
Wuhan Cobot Technology Co., Ltd.
Responsible party
Xiaoxv Yin, PhD (Professor, Huazhong University of Science and Technology) — Principal investigator
First posted
Nov 4, 2026
Start date
Jun 1, 2026
Primary completion
Dec 31, 2027 (estimated)
Completion
Jun 30, 2028 (estimated)
Last update
Nov 4, 2026

Study contacts

Xiaoxv Yin
Contact
yxx@hust.edu.cn
+8613871187781

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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