AI could spot breast cancer on routine chest CTs, no extra test needed
NCT ID NCT07557654
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at whether artificial intelligence can help detect breast cancer using standard chest CT scans that don't require a special dye. Researchers will compare the AI's accuracy to mammograms and breast MRIs in 5,000 women. The goal is to see if this approach could offer a convenient, opportunistic screening option during routine chest imaging.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 5,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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May 2026
- Expected to finish
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May 2029
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of female patients undergoing non-contrast chest CT scans for any clinical indication at participating institutions, with or without breast lesions detected on CT. For participants included in the comparative analysis, at least one additional breast imaging modality (mammography and/or breast MRI) must have been performed within three months of the non-contrast chest CT examination and without any intervening clinical events.
- Ages
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18 years and older
- Sex
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Female participants only
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Female patients who have undergone non-contrast chest CT examination; 2. Participants included in the comparative analysis must have undergone at least one comparator imaging modality (mammography and/or breast MRI); 3. If a breast lesion is detected, it must be confirmed by pathology or clinical follow-up at least 12 months; 4. No prior systemic or local therapy before imaging examinations; 5. Imaging data are complete and of sufficient quality for analysis. Exclusion Criteria: 1. History of other malignancies with potential impact on breast imaging interpretation; 2. Participants with suspected malignant breast lesions but no confirmation; 3. Prior radiotherapy, chemotherapy, or immunotherapy before imaging examinations; 4. Imaging data that are incomplete, of poor quality, or contain significant artifacts preventing reliable analysis; 5. Time interval between non-contrast chest CT and comparator imaging modalities exceeding three months, or with clinical events occurring between examinations that may alter lesion status.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Fudan University Shanghai Cancer Center
RECRUITINGShanghai, 200032, China
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