Radiomics for prEdiction of lunG cAncer biologY

NCT ID: NCT05819905

Last Updated: 2023-04-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

600 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-01-01

Study Completion Date

2024-01-01

Brief Summary

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Therapeutic progress for subgroups of Non Small Cell Lung Cancer can largely be attributed to the accumulation of molecular knowledge and the development of new drugs that specifically target molecular abnormalities. An understanding of the immune landscape of tumors, including immune-evasion strategies, has also led to breakthrough therapeutic advances.These new options require prior treatment tumoral sampling to identify patients who have neoplasms with specific genomic aberrations or favorable immune environment. Medical imaging and radiomic approach may provides surrogate markers non invasively.The objective of the present retrospective study is to build and validate a predictive model of common molecular alterations and PD-L1 expression in NSCLC using pre treatment PET/CT derived radiomics.

Detailed Description

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Conditions

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Non Small Cell Lung Cancer PET/CT PD-L1 Gene Mutation-Related Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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PET/CT

Pre treatment staging 18F-FDG PET/CT

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Histologically proven NSCLCC
* pre treatment 18F FDG PET/CT
* available molecular biology and histology results

Exclusion Criteria

* non available PET/CT images
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Poitiers University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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CHU Poitiers

Poitiers, , France

Site Status

Countries

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France

Other Identifiers

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REGAL

Identifier Type: -

Identifier Source: org_study_id

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