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Detection of Ovarian Cancer Using an Artificial Intelligence Enabled Transvaginal Ultrasound Imaging Algorithm

NCT04214782 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10000

Last updated 2021-10-07

No results posted yet for this study

Summary

Ovarian cancer is relatively rare but fatal with an annual incidence rate of 11.8 per 100 000 and a high mortality-to-incidence ratio of \>0.6. The modest diagnostic accuracy of TVU has risen some concerns about the over-treatment.Now, with the development of artificial intelligence (AI), we may have a better chance to interpret TVU imagines with high efficiency, reproducibility and accuracy.

Conditions

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence Enabled Transvaginal Ultrasound Imaging algorithm

AI Enabled Transvaginal Ultrasound diagnosis for ovarian cancer

Sponsors & Collaborators

  • Hubei Cancer Hospital

    collaborator OTHER

  • Qilu Hospital of Shandong University

    collaborator OTHER

  • Henan Cancer Hospital

    collaborator OTHER_GOV

  • Xiangyang Central Hospital

    collaborator OTHER

  • The First People's Hospital of Jingzhou

    collaborator OTHER

  • First Affiliated Hospital, Sun Yat-Sen University

    collaborator OTHER

  • Tongji Hospital

    lead OTHER

Principal Investigators

  • Qinglei Gao, MD, PhD · Tongji Hospital

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-01
Primary Completion
2023-10-01
Completion
2024-10-01

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04214782 on ClinicalTrials.gov