Research of the algorithm development to detect rare driver gene-positive lung cancer population by histopathological image analysis using artificial intelligence

Research of the algorithm development to detect rare driver gene-positive lung cancer population by histopathological image analysis using artificial intelligence - Research of the algorithm for rare driver gene-positive lung cancer with using histopathological image and artificial intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000045992

Enrollment

1000

Registered

2021-11-08

Start date

2021-07-16

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Non-small cell lung cancer

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Non-small cell lung cancer 2. Histopathological image, genetic test results, clinical information, and imaging information 3. Written informed consent in LC-SCRUM-IBIS regarding secondary use of remaining sample and information 4. No rejection against secondary use of remaining sample and information, whose information is provided in the form of opt-out on the web-site

Exclusion criteria

Exclusion criteria: 1. Patients whose participation in the trial is judged to be inappropriate by the doctor

Design outcomes

Primary

Measure	Time frame
The performance of a detection evaluated by the area under the ROC curve, or AUC, for rare driver gene (ALK, ROS1, RET, BRAF, NTRK, MET, HER2, KRAS)	—

Countries

Japan

Contacts

Public ContactKiyotaka YOH

National Cancer Center Hospital East Department of Thoracic Medical Oncology

kyoh@east.ncc.go.jp04-7133-1111

Outcome results