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

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT01887769

Acronym

BAT-SCAN

Enrollment

1000

Registered

2013-06-27

Start date

2012-05-31

Completion date

2017-10-31

Last updated

2017-01-06

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

Conditions

Lung Cancer

Keywords

Lung cancer, Body composition analysis, Ct-Scan, Muscle mass, Cachexia

Brief 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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

40 Years to 80 Years

Healthy volunteers

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)

Design outcomes

Primary

Measure	Time frame
Change of muscle area (cm2/m2) at the level of the third lumbar vertebra	at the time of the diagnosis of lung cancer and one year following it.
Change of fat area (cm2/m2) at the level of the third lumbar vertebra	at the time of the diagnosis of lung cancer and one year following it.

Secondary

Measure	Time frame
days of survival	From the time of the diagnosis of lung cancer until one year

Countries

Canada

Outcome results