Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging
| العنوان: | Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging |
|---|---|
| المؤلفون: | Cansu Özden, Enver Tahir, Isabel Molwitz, Gerhard Adam, Miriam Leiderer, Jin Yamamura, Daniel Koehler, Rosalie McDonough, Roland Fischer, A-K Ozga |
| المصدر: | European Radiology |
| بيانات النشر: | Springer Berlin Heidelberg, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Relaxometry, medicine.medical_specialty, Sarcopenia, Intraclass correlation, Fat quantification, Computed Tomography, Abdomen, medicine, Humans, Radiology, Nuclear Medicine and imaging, Muscle, Skeletal, Neuroradiology, business.industry, Muscles, Ultrasound, Skeletal muscle, Reproducibility of Results, Dual-Energy Computed Tomography, General Medicine, Tomography, spiral computed, medicine.disease, Magnetic Resonance Imaging, medicine.anatomical_structure, Radiology, business, Tomography, X-Ray Computed |
| الوصف: | Objectives To quantify the proportion of fat within the skeletal muscle as a measure of muscle quality using dual-energy CT (DECT) and to validate this methodology with MRI. Methods Twenty-one patients with abdominal contrast-enhanced DECT scans (100 kV/Sn 150 kV) underwent abdominal 3-T MRI. The fat fraction (DECT-FF), determined by material decomposition, and HU values on virtual non-contrast-enhanced (VNC) DECT images were measured in 126 regions of interest (≥ 6 cm2) within the posterior paraspinal muscle. For validation, the MR-based fat fraction (MR-FF) was assessed by chemical shift relaxometry. Patients were categorized into groups of high or low skeletal muscle mean radiation attenuation (SMRA) and classified as either sarcopenic or non-sarcopenic, according to the skeletal muscle index (SMI) and cut-off values from non-contrast-enhanced single-energy CT. Spearman’s and intraclass correlation, Bland-Altman analysis, and mixed linear models were employed. Results The correlation was excellent between DECT-FF and MR-FF (r = 0.91), DECT VNC HU and MR-FF (r = - 0.90), and DECT-FF and DECT VNC HU (r = − 0.98). Intraclass correlation between DECT-FF and MR-FF was good (r = 0.83 [95% CI 0.71–0.90]), with a mean difference of - 0.15% (SD 3.32 [95% CI 6.35 to − 6.66]). Categorization using the SMRA yielded an eightfold difference in DECT VNC HU values between both groups (5 HU [95% CI 23–11], 42 HU [95% CI 33–56], p = 0.05). No significant relationship between DECT-FF and SMI-based classifications was observed. Conclusions Fat quantification within the skeletal muscle using DECT is both feasible and reliable. DECT muscle analysis offers a new approach to determine muscle quality, which is important for the diagnosis and therapeutic monitoring of sarcopenia, as a comorbidity associated with poor clinical outcome. Key Points • Dual-energy CT (DECT) material decomposition and virtual non-contrast-enhanced DECT HU values assess muscle fat reliably. • Virtual non-contrast-enhanced dual-energy CT HU values allow to differentiate between high and low native skeletal muscle mean radiation attenuation in contrast-enhanced DECT scans. • Measuring muscle fat by dual-energy computed tomography is a new approach for the determination of muscle quality, an important parameter for the diagnostic confirmation of sarcopenia as a comorbidity associated with poor clinical outcome. |
| اللغة: | English |
| تدمد: | 1432-1084 0938-7994 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37661a40b213831737f2d8a0e12ef5d6Test http://europepmc.org/articles/PMC8452571Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....37661a40b213831737f2d8a0e12ef5d6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14321084 09387994 |
|---|