We have located links that may give you full text access.
Evaluation of sarcopenia in small-cell lung cancer patients by routine chest CT.
Supportive Care in Cancer 2016 November
BACKGROUND: Single cross-sectional area of muscle at the third lumbar vertebra (L3MA) is gold standard to estimate skeletal muscle mass (SMM), and L3 muscle index (L3MI, L3MA/height(2)) is used to determine sarcopenia. The purposes of this study were to evaluate the relationship between SMM indices determined by routine chest CT and L3MI in patients with small-cell lung cancer (SCLC) and to suggest chest CT-derived diagnostic criteria for sarcopenia.
METHODS: Area of pectoralis muscles at the aortic arch (PMA) and at L1 (L1MA) was retrospectively measured on chest CT images of 90 consecutive SCLC patients. Pearson's correlation and multiple linear regression analysis were used to assess relationships between L3MI determined by PET/CT and pectoralis muscle index (PMI) and L1 muscle index (L1MI) determined by chest CT.
RESULTS: The correlation between L1MI and L3MI was stronger than that between PMI and L3MI (r = 0.851 vs. r = 0.447, p < 0.001). Multivariable regression analysis showed that L1MI was the only significant predictor of L3MI; L3MI = 0.963 × L1MI + 10.336 (R (2) = 0.689, p < 0.001) for male and L3MI = 0.772 × L1MI + 16.518 (R (2) = 0.777, p < 0.001) for female. Using this relationship, estimated cutoffs of L1MI for sarcopenia were 46 cm(2)/m(2) for male and 29 cm(2)/m(2) for female (L3MI cutoffs for sarcopenia are 55 cm(2)/m(2) for male and 39 cm(2)/m(2) for female). The sensitivity and specificity of L1MI cutoffs to determine sarcopenia were 98.2 and 100 %, respectively.
CONCLUSIONS: Chest CT-determined L1MI is highly correlated with L3MI in SCLC patients. L1MI, as determined by chest CT, could be used to determine the presence of sarcopenia with suggested cutoffs of 46 cm(2)/m(2) for men and 29 cm(2)/m(2) for women.
METHODS: Area of pectoralis muscles at the aortic arch (PMA) and at L1 (L1MA) was retrospectively measured on chest CT images of 90 consecutive SCLC patients. Pearson's correlation and multiple linear regression analysis were used to assess relationships between L3MI determined by PET/CT and pectoralis muscle index (PMI) and L1 muscle index (L1MI) determined by chest CT.
RESULTS: The correlation between L1MI and L3MI was stronger than that between PMI and L3MI (r = 0.851 vs. r = 0.447, p < 0.001). Multivariable regression analysis showed that L1MI was the only significant predictor of L3MI; L3MI = 0.963 × L1MI + 10.336 (R (2) = 0.689, p < 0.001) for male and L3MI = 0.772 × L1MI + 16.518 (R (2) = 0.777, p < 0.001) for female. Using this relationship, estimated cutoffs of L1MI for sarcopenia were 46 cm(2)/m(2) for male and 29 cm(2)/m(2) for female (L3MI cutoffs for sarcopenia are 55 cm(2)/m(2) for male and 39 cm(2)/m(2) for female). The sensitivity and specificity of L1MI cutoffs to determine sarcopenia were 98.2 and 100 %, respectively.
CONCLUSIONS: Chest CT-determined L1MI is highly correlated with L3MI in SCLC patients. L1MI, as determined by chest CT, could be used to determine the presence of sarcopenia with suggested cutoffs of 46 cm(2)/m(2) for men and 29 cm(2)/m(2) for women.
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
Perioperative echocardiographic strain analysis: what anesthesiologists should know.Canadian Journal of Anaesthesia 2024 April 11
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app