None listed
Conditions
Brief summary
This study is evaluating whether quantitative computed tomography (CT) can enable us to more accurately predict postoperative outcomes in patients undergoing lung cancer surgery. Who is it for? You may be eligible to join this study if you are aged 18 years or above and have been diagnosed with non-small cell lung cancer for which you will undergo lung resection surgery. Study details All participants in this study will receive standard care by their treating physicians and quantitative CT software will be used to analyse their CT images. Quantitative CT provides the ability to measure airway wall thickness on chest CT images, which is a potentially useful measure of airway obstruction. We hope to add these variables to the conventional measures used to predict postoperative outcomes in order to determine if this will be a useful tool to contribute to the prediction of postoperative outcomes, including quality of life and mortality. Prediction of postoperative outcomes following lung resection for lung cancer is important because it enables the selection of suitable surgical candidates.
Interventions
Quantitative CT software provides the ability to measure airway wall thickness on chest CT images, which is a potentially useful measure of airway obstruction. We intend to analyse participants' CT images using quantitative CT to determine airway wall thickness and attenuation values in the individual lobes. We hope to add these variables to the conventional measures used to predict postoperative outcomes in order to determine if this will be a useful tool to contribute to the prediction of post
Quantitative CT software provides the ability to measure airway wall thickness on chest CT images, which is a potentially useful measure of airway obstruction. We intend to analyse participants' CT images using quantitative CT to determine airway wall thickness and attenuation values in the individual lobes. We hope to add these variables to the conventional measures used to predict postoperative outcomes in order to determine if this will be a useful tool to contribute to the prediction of postoperative outcomes. The CT images which will be used include a preoperative CT scan as well as a low-dose CT scan 6 months postoperatively for each patient.
Sponsors
The Prince Charles Hospital
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
-Histologically confirmed non-small cell lung cancer -Pulmonary resection to treat the lung cancer, in the form of pneumonectomy, lobectomy or limited resection -Available CT images compatible with quantitative CT software
Exclusion criteria
-Inability to provide informed consent -Inability to attend follow up at 6 months -Inability to speak English -Pregnant women
Outcome results
None listed