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CT-derived body composition associated with lung cancer recurrence after surgery
Naciye S Gezer1, Andriy I Bandos2, Cameron A Beeche1
1Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Lung Cancer (Amsterdam, Netherlands)
|April 14, 2023
Summary
Body composition from CT scans, including muscle density and fat tissue volumes, can predict lung cancer recurrence. Combining these body composition metrics with clinical factors improves recurrence prediction after surgery.
Area of Science:
- Radiology and Imaging
- Oncology
- Body Composition Analysis
Background:
- Postoperative lung cancer recurrence remains a significant clinical challenge.
- Accurate prediction of recurrence is crucial for optimizing patient management and treatment strategies.
Purpose of the Study:
- To investigate the predictive value of body composition, assessed via computed tomography (CT) scans, for lung cancer recurrence after surgical resection.
- To determine if body composition metrics can enhance existing models for predicting postoperative recurrence.
Main Methods:
- A retrospective cohort of 363 lung cancer patients undergoing resection was analyzed.
- Preoperative CT scans were used to quantify five key body tissues and ten tumor features.
- Time-to-event analysis and time-dependent ROC analysis were employed to assess predictive capabilities.
Main Results:
- Visceral adipose tissue (VAT) volume, subcutaneous adipose tissue (SAT) density, inter-muscle adipose tissue (IMAT) volume, muscle density, and total fat volume showed significant associations with recurrence.
- CT-derived muscle and tumor features, when integrated with clinicopathological factors, achieved an AUC of 0.78 for predicting 3-year recurrence.
Conclusions:
- Body composition features, particularly muscle density and adipose tissue volumes, are valuable independent predictors of lung cancer recurrence.
- Incorporating body composition analysis into clinicopathological models significantly improves the prediction accuracy for postoperative lung cancer recurrence.
