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NCT Number: NCT07639567

Clinical Application Value of Deep Learning-Based "Opportunistic Screening" for Malignant Tumors on Routine Non-Contrast Chest-Abdomen-Pelvis CT

This study aims to develop and validate a deep learning-based opportunistic multi-cancer screening system using routine non-contrast chest-abdomen-pelvis CT examinations, including CHANCE-Breast, CHANCE-Liver, CHANCE-Kidney, and CHANCE-Bladder, for the early detection of breast, liver, kidney, and bladder cancers. In addition, the study will assess a human-AI collaborative framework to determine its potential for improving cancer detection and reducing missed diagnoses in clinical practice.

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Key information

Conditions

Tumor Neoplasms

Sex eligibility

All sexes

Study type

Observational

Primary location

Union Hospital，Tongji Medical College，Huazhong University of Science and Technology

Wuhan, Hubei, 430000, China

Location contact

Lian Yang

CONTACT

[email protected]

18986273791

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with a confirmed diagnosis of the target malignancy who received treatment at our institution;
  • Diagnostic-quality CT images without substantial metal or motion artifacts and with complete anatomical coverage of the target organ (breast, liver, kidney, or bladder);
  • Availability of complete pre-treatment non-contrast CT imaging data.

Exclusion criteria

  • Non-diagnostic image quality;
  • Absence of a definitive reference-standard diagnosis;
  • Incomplete clinical or imaging data.

Treatment and study plan

Primary outcomes

  1. diagnostic sensitivity

    Time frame: 1.5 years

Study contacts

Contact information is provided by the study sponsor or research team.

Lian Yang

CONTACT

[email protected]

18986273791

Sponsors and collaborators

Lead sponsor

Lian Yang

Other

Registry information

Important dates

Study start
2026
Primary completion
2028
Study completion
2028
First posted
Jun 10, 2026
Registry last updated
Jun 10, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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