search
Back to results

Predicting Lung Cancer-Associated Cachexia With PET Imaging (LUCAPET)

Primary Purpose

Cachexia, Lung Neoplasm

Status
Recruiting
Phase
Not Applicable
Locations
International
Study Type
Interventional
Intervention
Stress Reduction Training
Sponsored by
Medical University of Vienna
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Cachexia focused on measuring Cancer cachexia, Positron emission tomography, Metabolic changes, Lung cancer, Muscle wasting, Computed tomography, Fluorodeoxyglucose F18, Organ connection

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria: Adult patients aged 18 years or older. Confirmed diagnosis of lung cancer. Willingness to participate in the study and provide informed consent. Ability to comply with study procedures and follow-up visits. Exclusion Criteria: Previous history of any other malignancy within the last 5 years, excluding non-melanoma skin cancer. Concurrent participation in another clinical trial involving an investigational product. Known contraindications or intolerance to PET/CT imaging or fluorodeoxyglucose (FDG). Presence of severe comorbidities that may interfere with study participation or affect the interpretation of results. Pregnant or lactating women, or those planning to become pregnant during the study period. Any other condition that, in the opinion of the investigator, would make the patient unsuitable for participation in the study.

Sites / Locations

  • Medical University of ViennaRecruiting
  • University of Leipzig Medical Center
  • AOUC Azienda Ospedaliero-Universitaria Careggi

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Treatment-Naive Lung Cancer Patients

Arm Description

This arm includes 150 treatment-naive lung cancer patients. Assessments include medical history, physical exams, lab tests, and imaging. Objective: investigate cancer cachexia, stress, and metabolic changes. Cachexia criteria: weight loss, reduced food intake, inflammation markers. Stress assessment: questionnaires, biomarkers. Metabolic changes measured by PET-CT scans analyzing FDG uptake in organs/lesions. Data will uncover the relationship between cancer cachexia, stress, and metabolic changes in treatment-naive lung cancer patients, leading to improved interventions/outcomes.

Outcomes

Primary Outcome Measures

Differences in FDG uptake (measured as SUVmean, max, min, peak) in organs, muscle, fat tissue between Cachectic and Non-Cachectic Lung Cancer Patients
Measurement of fluorodeoxyglucose (FDG) uptake in various organs and lesions to characterize the metabolic differences between cachectic and non-cachectic lung cancer patients.

Secondary Outcome Measures

Full Information

First Posted
June 13, 2023
Last Updated
June 23, 2023
Sponsor
Medical University of Vienna
Collaborators
University of Leipzig, Careggi Hospital, University of Copenhagen
search

1. Study Identification

Unique Protocol Identification Number
NCT05912465
Brief Title
Predicting Lung Cancer-Associated Cachexia With PET Imaging
Acronym
LUCAPET
Official Title
The Role of 18F-FDG PET/CT in the Early Prediction of Cachexia in Lung Cancer Patients
Study Type
Interventional

2. Study Status

Record Verification Date
June 2023
Overall Recruitment Status
Recruiting
Study Start Date
July 1, 2023 (Anticipated)
Primary Completion Date
July 1, 2024 (Anticipated)
Study Completion Date
March 1, 2025 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Medical University of Vienna
Collaborators
University of Leipzig, Careggi Hospital, University of Copenhagen

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Product Manufactured in and Exported from the U.S.
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
This prospective observational study aims to investigate the relationship between cancer cachexia, stress levels, and metabolic changes in 150 lung cancer patients. Cancer cachexia, characterized by weight loss and muscle wasting, significantly impacts patient outcomes. Psychological stress is thought to contribute to cachexia development. Assessments will include medical history, physical examinations, laboratory tests, and imaging. Cancer cachexia will be diagnosed based on weight loss, reduced food intake, and inflammation markers. Psychological stress will be evaluated using questionnaires and biomarkers. Metabolic changes will be assessed using positron emission tomography-computed tomography (PET-CT) scans. The primary objective is to determine differences in metabolic activity between cachectic and non-cachectic patients. Secondary objectives include evaluating changes in brain activity and exploring the relationship between stress, inflammation, and metabolism.
Detailed Description
Title: Investigation of the Relationship Between Cancer Cachexia, Stress, and Metabolic Changes in Lung Cancer Patients Background: Cancer cachexia is a debilitating syndrome characterized by progressive weight loss, muscle wasting, and metabolic abnormalities. It significantly impacts patients' quality of life and survival outcomes. Psychological stress has been suggested as a potential contributor to cachexia development and progression. This study aims to investigate the association between cancer cachexia, stress levels, and metabolic changes in lung cancer patients. Methods: This multicenter, prospective observational study will enroll 150 lung cancer patients. Eligible participants will undergo comprehensive assessments, including medical history review, physical examinations, laboratory tests, and diagnostic imaging. Cancer cachexia will be diagnosed based on established criteria, including weight loss, reduced food intake, and systemic inflammation markers. Psychological stress will be evaluated using validated questionnaires and stress biomarkers. Metabolic changes will be assessed through positron emission tomography-computed tomography (PET-CT) scans to measure fluorodeoxyglucose (FDG) uptake in organs and lesions. Primary Objectives: The primary objective is to determine differences in FDG uptake between cachectic and non-cachectic lung cancer patients in various organs and lesions. Secondary objectives include evaluating changes in amygdalar FDG uptake after stress intervention and exploring the relationship between stress, inflammatory markers, and metabolic changes. Statistical Analysis: Student's t-test will be used to compare FDG uptake between groups, and descriptive statistics will be calculated for each brain region. Sample size calculations indicate a need for approximately 30 subjects per group to detect significant differences. Data will be analyzed using appropriate statistical software. Ethical Considerations: Informed consent will be obtained from all participants, and the study will adhere to the principles outlined in the Declaration of Helsinki and Good Clinical Practice guidelines. The study protocol has been submitted to the Ethics Committee and regulatory authorities for approval. Conclusion: This study aims to provide insights into the relationship between cancer cachexia, stress, and metabolic changes in lung cancer patients. By investigating FDG uptake in different organs and lesions, as well as amygdalar FDG uptake before and after stress intervention, this research may contribute to the development of targeted interventions for cachexia management and improve patient outcomes.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Cachexia, Lung Neoplasm
Keywords
Cancer cachexia, Positron emission tomography, Metabolic changes, Lung cancer, Muscle wasting, Computed tomography, Fluorodeoxyglucose F18, Organ connection

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
The overall model of this study involves enrolling a total of 150 patients from three different sites. These patients will undergo baseline PET/CT imaging to assess their metabolic changes, as well as provide clinical information through medical history review and physical examinations. Additionally, blood samples will be collected for laboratory tests, and patients will complete questionnaires to evaluate psychological stress levels. This comprehensive approach aims to gather a range of data including imaging, clinical information, blood biomarkers, and psychological assessments to investigate the relationship between cancer cachexia, stress, and metabolic changes in lung cancer patients.
Masking
None (Open Label)
Allocation
N/A
Enrollment
150 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Treatment-Naive Lung Cancer Patients
Arm Type
Experimental
Arm Description
This arm includes 150 treatment-naive lung cancer patients. Assessments include medical history, physical exams, lab tests, and imaging. Objective: investigate cancer cachexia, stress, and metabolic changes. Cachexia criteria: weight loss, reduced food intake, inflammation markers. Stress assessment: questionnaires, biomarkers. Metabolic changes measured by PET-CT scans analyzing FDG uptake in organs/lesions. Data will uncover the relationship between cancer cachexia, stress, and metabolic changes in treatment-naive lung cancer patients, leading to improved interventions/outcomes.
Intervention Type
Other
Intervention Name(s)
Stress Reduction Training
Intervention Description
A subgroup of patients from Vienna will undergo an additional PET/CT scan after the first follow-up PET/CT, which takes place one month after stress reduction training. The stress reduction training involves performing a breathing technique.
Primary Outcome Measure Information:
Title
Differences in FDG uptake (measured as SUVmean, max, min, peak) in organs, muscle, fat tissue between Cachectic and Non-Cachectic Lung Cancer Patients
Description
Measurement of fluorodeoxyglucose (FDG) uptake in various organs and lesions to characterize the metabolic differences between cachectic and non-cachectic lung cancer patients.
Time Frame
F/U for 12 month minimum

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Adult patients aged 18 years or older. Confirmed diagnosis of lung cancer. Willingness to participate in the study and provide informed consent. Ability to comply with study procedures and follow-up visits. Exclusion Criteria: Previous history of any other malignancy within the last 5 years, excluding non-melanoma skin cancer. Concurrent participation in another clinical trial involving an investigational product. Known contraindications or intolerance to PET/CT imaging or fluorodeoxyglucose (FDG). Presence of severe comorbidities that may interfere with study participation or affect the interpretation of results. Pregnant or lactating women, or those planning to become pregnant during the study period. Any other condition that, in the opinion of the investigator, would make the patient unsuitable for participation in the study.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Marcus Hacker, Prof., MD
Phone
+43 140400
Ext
55310
Email
marcus.hacker@meduniwien.ac.at
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Marcus Hacker, Prof.
Organizational Affiliation
Medical University of Vienna, Department of Radiology and Nuclear Medicine
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Thomas Beyer, Prof.
Organizational Affiliation
Medical University of Vienna, Center for Medical Physics and Biomedical Engineering
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Osama Sabri, Prof.
Organizational Affiliation
University of Leipzig Medical Center
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Roberto Sciagrà, Prof.
Organizational Affiliation
Careggi University Hospital
Official's Role
Principal Investigator
Facility Information:
Facility Name
Medical University of Vienna
City
Vienna
ZIP/Postal Code
1090
Country
Austria
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Marcus Hacker, Prof., MD
Phone
+43 140400 55310
Email
marcus.hacker@meduniwien.ac.at
First Name & Middle Initial & Last Name & Degree
Josef Yu, MD
First Name & Middle Initial & Last Name & Degree
Andreas Bergthaler, Prof.
Facility Name
University of Leipzig Medical Center
City
Leipzig
Country
Germany
Individual Site Status
Not yet recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Osama Sabri, Prof.
Facility Name
AOUC Azienda Ospedaliero-Universitaria Careggi
City
Florence
Country
Italy
Individual Site Status
Not yet recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Roberto Sciagra, Prof.

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
35772962
Citation
Shiyam Sundar LK, Yu J, Muzik O, Kulterer OC, Fueger B, Kifjak D, Nakuz T, Shin HM, Sima AK, Kitzmantl D, Badawi RD, Nardo L, Cherry SR, Spencer BA, Hacker M, Beyer T. Fully Automated, Semantic Segmentation of Whole-Body 18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence. J Nucl Med. 2022 Dec;63(12):1941-1948. doi: 10.2967/jnumed.122.264063. Epub 2022 Jun 30.
Results Reference
background
PubMed Identifier
21296615
Citation
Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, Jatoi A, Loprinzi C, MacDonald N, Mantovani G, Davis M, Muscaritoli M, Ottery F, Radbruch L, Ravasco P, Walsh D, Wilcock A, Kaasa S, Baracos VE. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011 May;12(5):489-95. doi: 10.1016/S1470-2045(10)70218-7. Epub 2011 Feb 4.
Results Reference
background
Links:
URL
https://www.meduniwien.ac.at/web/en/forschung/projekte/lucapet/lucapet/
Description
Project Website

Learn more about this trial

Predicting Lung Cancer-Associated Cachexia With PET Imaging

We'll reach out to this number within 24 hrs