AI reads brain scans to unlock lung cancer secrets without surgery
NCT ID NCT07373951
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at whether a computer model can analyze routine brain MRI scans to predict if a lung cancer that has spread to the brain has certain genetic changes (EGFR or ALK). The goal is to see if this noninvasive method can replace the need for a brain tumor biopsy to guide treatment. Researchers will test the model on 380 patients from multiple hospitals and compare its accuracy against standard genetic testing.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 380 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Nov 2025
- Expected to finish
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May 2026
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
Retrospective multicenter cohorts of adult patients with non-small cell lung cancer (NSCLC) brain metastases who underwent brain metastasis surgery and had preoperative brain MRI including T1CE and FLAIR. EGFR and ALK status are determined by next-generation sequencing (NCG/NGS) performed on resected brain metastasis tissue. The development/internal validation cohort is from the National Cancer Center (China). Two independent external test cohorts are from the First Affiliated Hospital of Anhui Medical University (China) and a de-identified public dataset from The Cancer Imaging Archive (TCIA). Overall survival and progression-free survival are calculated from the date of brain metastasis surgery to the event or last follow-up (data cutoff: May 1, 2026).
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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: Age ≥ 18 years at the time of brain metastasis surgery. Histologically confirmed non-small cell lung cancer (NSCLC). Brain metastasis treated with surgical resection (index date for survival analyses). Preoperative brain MRI is available, including, at minimum, contrast-enhanced T1-weighted imaging (T1CE) and FLAIR. EGFR and ALK status are available from next-generation sequencing (NCG/NGS) performed on resected brain metastasis tissue (+/-). MRI quality sufficient for analysis (adequate brain coverage and no severe artifacts). Exclusion Criteria: Missing required MRI sequences (T1CE or FLAIR) or non-diagnostic image quality due to severe artifacts/motion. Missing or unverifiable molecular testing results for EGFR and/or ALK from brain metastasis tissue. Uncertain primary tumor origin or non-NSCLC histology. Prior intracranial therapy that substantially alters lesion appearance before the index MRI and cannot be reliably ascertained or adjusted for (e.g., radiotherapy immediately before the MRI), as determined by study investigators.
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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
The full official record for this study. This one lists no contact details, but it is the first place any would appear.
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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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National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
Beijing, Beijing Municipality, 100021, China
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