CClinicalTrials.gg
Status unknownNCT01887769BAT-SCANUpdated Jan 6, 2017

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

An observational study in Lung Cancer, sponsored by Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec. Status unknown at 1 site in Canada. Open to participants aged 40 Years to 80 Years. Per ClinicalTrials.gov, last updated 2017-01-06.

Sponsored by Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec · Observational

The sponsor has not verified this record recently (last verified Jan 2017), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
1,000
Ages
40 Years to 80 Years
Sex
All
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Study 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.

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Conditions studied

  • Lung Cancer

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Keywords

  • Lung cancer
  • Body composition analysis
  • Ct-Scan
  • Muscle mass
  • Cachexia
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In context

Lung Neoplasms

7,243 studies on the registry are indexed under Lung Neoplasms; 1,557 are open to participants now.

This study's planned enrollment of 1,000 is above the median of 189 across 1,514 observational studies indexed under Lung Neoplasms.

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Lead sponsor

Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec is the lead sponsor of 23 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
40 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Lung cancer patients, at diagnosis, following in oncology clinic

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

Exclusion Criteria:

  • Chemotherapy, radiotherapy or surgery at the time of the first Ct-Scan image
  • History of other cancer (during the last five years)
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Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
1,000 participants (estimated)
Patient registry
No

Groups and cohorts

  • Lung cancer patient at diagnosis
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What researchers measure

Primary outcomes

  1. Change of muscle area (cm2/m2) at the level of the third lumbar vertebra

    Time frame: at the time of the diagnosis of lung cancer and one year following it.

  2. Change of fat area (cm2/m2) at the level of the third lumbar vertebra

    Time frame: at the time of the diagnosis of lung cancer and one year following it.

Secondary outcomes

  1. days of survival

    Time frame: From the time of the diagnosis of lung cancer until one year

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Study locations

1 of 1 sites recruiting
  • Institut universitaire de cardiologie et de pneumologie de Québec
    Québec, Quebec G1V 4G5, Canada
    Recruiting
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 6, 2017, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT01887769
Lead sponsor
Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec
Responsible party
Didier Saey (PhD, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Quebec) — Principal investigator
First posted
Jun 27, 2013
Start date
May 2012
Primary completion
Jul 2017 (estimated)
Completion
Oct 2017 (estimated)
Last update
Jan 6, 2017

Study contacts

Didier Saey, PhD
principal investigator · Institut universitaire de cardiologie et de pneumologie de Québec, University Laval

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Jan 2017. You cannot join it, but the record below documents what was studied.

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