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A. Recio Boiles
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P1.11 - Poster Session/ Palliative and Supportive Care (ID 229)
- Event: WCLC 2015
- Type: Poster
- Track: Palliative and Supportive Care
- Presentations: 1
- Moderators:
- Coordinates: 9/07/2015, 09:30 - 17:00, Exhibit Hall (Hall B+C)
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P1.11-005 - Enhancing Evaluation of Cancer Cachexia in Patients with NSCLC by Assessing Change in Skeletal Muscle Mass at the L1 Level on Routine Chest CT (ID 2761)
09:30 - 09:30 | Author(s): A. Recio Boiles
- Abstract
Background:
Cancer cachexia (CC) and sarcopenia occur in up to 60% of patients with lung cancer. With better knowledge of the pathophysiology leading to cancer cachexia, multiple recent therapeutic trials have been directed at these mechanisms. Additionally, it is clear that cancer cachexia is associated with several negative outcomes. Inherent in all studies for this problem, is the ability to measure components of cancer cachexia, such as skeletal muscle mass (SMM). SMM assessment by CT scanning (SD <1.2kgs) is more accurate than either Dual X ray absorptiometry (DXA, SD 3kgs) or than bioelectrical impedance (SD 9.3kgs). A single slice on CT at the third lumbar vertebra (L3) correlates highly (r=0.924) with total body SMM in healthy individuals. While CT measurement at L3 is often used in cancer cachexia trials, the problem exists that routine chest CT scans rarely extend to L3; thus routine chest CTs will not allow inclusion of most patients. Importantly, prior studies in normal subjects demonstrated high correlation (r = 0.903) of SMM measurement at L1 with L3; however, the utility and feasibility of L1 measurement of SMM has not been assessed in patients with cancer.
Methods:
We enlisted patients with NSCLC and performed SMM measurements at L1 using Slice-O-Matic software for muscle mass in the Hounsfield unit range of -29 to +150. Patients were assessed for accuracy of using the L1 level for imaging quality and the ability to use the software properly.
Results:
56 patients with NSCLC (99 CT assessments) were enlisted at three institutions. Characteristics: 45% female; medians: age 60, KPS 80%; BMI 24.96, weight 72.38 kg, SMM index 58.89. Sarcopenia was detected in 29% of patients (58% of males <55.5 cm2/M2; 6% of females <38.5cm2/M2) with all having normal or overweight BMI. Overall, of the 99 CT images, 92.9% (95% CI = 88%-98%) included L1. 5 additional images (5%) were difficult to evaluate for SMM due to ascites or effusions; also, 1 patient was too obese for proper imaging; 2 had poor quality scans. Importantly, inclusion of L1 differed among the 3 institutions ranging from 80.6% to 97.2%. Also noted, as previously reported with assessment at L3 (r = 0.35), the correlation of BMI with SMM in this study at L1 was low (r = 0.36) as well.
Conclusion:
This study indicates that: 1) SMM assessment at L1 is achievable on routine chest CT in patients with lung cancer, with 93% of patients having images at this level, and 93% have acceptable quality for SMM evaluation; 2) although L1 is included in the majority of patients at all 3 institutions, this may vary by different radiologic protocols; 3) the low correlation and poor sensitivity of BMI to identify muscle mass loss is equally demonstrated at both L3 and L1, and 4) use of L1 enhances patient evaluation for SMM without needing additional testing or radiation exposure, and allows many more patients with NSCLC to have assessment of SMM in clinical trials and patient management. Funding in part: NIH/NCI 1 R01 CA157409-01A1
