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Trial Title: Body Composition Analysis for Patient With Lung Cancer Using Computed Tomography Image Analysis

NCT ID: NCT01887769

Condition: Lung Cancer

Conditions: Official terms:
Lung Neoplasms

Conditions: Keywords:
Lung cancer
Body composition analysis
Ct-Scan
Muscle mass
Cachexia

Study type: Observational

Overall status: Unknown status

Study design:

Time perspective: Retrospective

Summary: Rationale: With 1.6 million new cases diagnosed each year and 1.3 million deaths, lung cancer is the leading cancer-related death worldwide and it represents a pressing health issue. Patients with lung cancer are more likely to experience cachexia, a severe debilitating disorder causing fatigue, weight loss, muscle wasting and associated with reduced physical function, increased chemotherapy toxicity and reduced survival. This syndrome occurring in about 80% of advanced cancer patients is the direct cause of death in about 20% of cases. However, despite the importance of cachexia in lung cancer, it has been mainly studied from several assessment methods which do not usually differentiate muscle from other tissues. Aim: To analyze body composition of patients with lung cancer at diagnosis using computed tomography (CT-Scan) image analysis. Methods: This is a retrospective study extending over a period of 3 years conducted at the Institut universitaire de cardiologie et de pneumologie de Québec (2009-2012). We listed patients newly diagnosed with lung cancer who had a thoraco-abdominal CT-scan performed in our institution. Following the collection of clinical data from patient records, we used SliceOmatic software to quantify muscle area, visceral fat area and subcutaneous fat area from a single abdominal cross-sectional image at the level of the third lumbar vertebra.

Criteria for eligibility:

Study pop:
Lung cancer patients, at diagnosis, following in oncology clinic

Sampling method: Probability Sample
Criteria:
Inclusion Criteria: - Men or women - Between 40-80 years of age - Primary lung cancer diagnosed between 2009 and 2012 - CT-Scan done at the time of the diagnosis Exclusion Criteria: - Chemotherapy, radiotherapy or surgery at the time of the first Ct-Scan image - History of other cancer (during the last five years)

Gender: All

Minimum age: 40 Years

Maximum age: 80 Years

Healthy volunteers: No

Locations:

Facility:
Name: Institut universitaire de cardiologie et de pneumologie de Québec

Address:
City: Québec
Zip: G1V 4G5
Country: Canada

Status: Recruiting

Contact:
Last name: Didier Saey, PhD

Phone: 418-656-8711

Phone ext: 2614
Email: didier.saey@criucpq.ulaval.ca

Investigator:
Last name: Didier Saey, PhD
Email: Principal Investigator

Start date: May 2012

Completion date: October 2017

Lead sponsor:
Agency: Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec
Agency class: Other

Source: Institut universitaire de cardiologie et de pneumologie de Québec, University Laval

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT01887769

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