Brain Metabolic Network of PET in Patients With Advanced Non-Small Cell Lung Cancer

The Fifth Affiliated Hospital of Sun Yat-sen University

This study is a retrospective study, screening patients with systemic PET / CT scan in our department, enrolling the ones who meet the criteria, collect their information and resting state brain PET images.Then make the brain metabolic network analysis and statistical analysis to explore the PET brain metabolic network of non-small cell lung cancer patients and the effect of chemotherapy drugs on brain metabolic network in patients with advanced lung cancer.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

  1. Enroll Participants
  2. Collect PET/CT Images
  3. Images Analysis
  4. Statistical Analysis

Study Type

Observational

Enrollment (Actual)

90

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Guangdong
      • Zhuhai, Guangdong, China, 519000
        • PET/CT

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with pathological confirmed non-small cell lung cancer

Description

Inclusion Criteria:

  • Patients with advanced non-small cell lung cancer without any treatment and pathological confirmed non-small cell lung cancer.

Exclusion Criteria:

  • Brain tumors (primary or metastasis), previous surgery, radiotherapy, chemotherapy, stroke, head trauma, psychiatric history (insomnia, depression, mania, schizophrenia and other psychiatric disorders), or history of drug dependence (e. g. sedatives, sleeping pills or sedatives)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients with untreated non-small cell lung cancer
The patients did not have any intervention.
Patients with non-small cell lung cancer after chemotherapy
Normal controls
The patients did not have any intervention.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Death
Time Frame: 1-5 years
1-5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2017

Primary Completion (Actual)

February 28, 2021

Study Completion (Actual)

February 28, 2021

Study Registration Dates

First Submitted

May 13, 2022

First Submitted That Met QC Criteria

May 18, 2022

First Posted (Actual)

May 19, 2022

Study Record Updates

Last Update Posted (Actual)

May 19, 2022

Last Update Submitted That Met QC Criteria

May 18, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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