Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Fat map images ( a – c ) calculated from dual-energy computed tomography ( d ), and magnetic resonance magnitude image ( e ) of a 58-year-old female patient with non-Hodgkin lymphoma. The analyzed region of the right posterior paraspinal muscle is marked (white asterisk, cross-hairs on fat maps)

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques: Computed Tomography

Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Determination of DECT fat fraction, DECT VNC HU, and SMA. Dual-energy computed tomography fat fraction (DECT-FF) and DECT virtual non-contrast-enhanced Hounsfield units (DECT VNC HU) were acquired from regions of interest (ROIs) of the posterior paraspinal muscles (m. erector spinae) ( a , b ). The skeletal muscle area (SMA) was determined after delimitation of muscle-specific tissue (−29 to +150 HU) by subtraction of the perimeter of the third lumbar vertebra and the inner skeletal muscle perimeter from the outer skeletal muscle perimeter ( c , d ). The skeletal muscle index (SMI) was derived by SMA/height 2 . Two patients with low muscle fat percentage of 3% in DECT-FF and low SMI ( a , c : 32 y, m, no pre-existing conditions) and high muscle fat of 38% in DECT-FF and higher SMI ( b , d : 68 y, f, metastasized breast cancer) are exemplarily shown

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques: Computed Tomography, Muscles, Derivative Assay

Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Patient classification as sarcopenic (+) and non-sarcopenic (-), according to different indices . Patients were assigned to either a sarcopenic ((+) skeletal muscle index (SMI) below cut-off) or non-sarcopenic ((-) SMI above cut-off) group, according to the SMI-based classification systems of Prado et al (sarcopenia: men ≤ 52.4 cm 2 /m 2 ; women ≤ 38.5 cm 2 /m 2 ), Martin et al (sarcopenia: men with BMI < 25 and SMI < 43 cm 2 /m 2 or with BMI ≥ 25 and SMI < 53 cm 2 /m 2 , women BMI independent < 41 cm 2 /m 2 ), and van der Werf et al (below the 5 th gender-, age-, and BMI-specific percentile of a healthy Caucasian population). By using a cut-off value for skeletal muscle mean radiation attenuation (SMRA) from non-contrast-enhanced single-energy CT scans of 29 HU, they were furthermore categorized into groups of high or low SMRA by the HU values of the left and right posterior paraspinal muscle on DECT virtual non-contrast-enhanced images

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques:

Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Correlation between DECT-FF and MR-FF and distribution of both plotted against patient age. Correlation of dual-energy computed tomography fat fraction (DECT-FF, blue) and fat fraction from magnetic resonance chemical shift relaxometry (MR-FF, red) was high (r = 0.91) ( a ). A higher patient age appears to be moderately correlated with higher DECT-FF (r = 0.62) and MR-FF (r = 0.59) ( b )

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques: Computed Tomography

Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Correlation between age, BMI, and imaging parameters.

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques: Imaging

Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Bland-Altman plot of DECT-FF and MR-FF. Mean difference between dual-energy computed tomography fat fraction (DECT-FF) and magnetic resonance chemical shift relaxometry fat fraction (MR-FF) was − 0.15%. 95% confidence interval (95% CI) was approximately 6.5%. The highest difference of 7.74% was found for the patient with the highest fat fraction within the study population (38% in DECT and 32% in MR, within the right posterior paraspinal muscles)

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques: Computed Tomography, Muscles

Journal: European Radiology

Article Title: Skeletal muscle fat quantification by dual-energy computed tomography in comparison with 3T MR imaging

doi: 10.1007/s00330-021-07820-1

Figure Lengend Snippet: Relationship between MR-FF, DECT-FF, DECT VNC HU, and SMI classification systems according to the mixed linear model. Patients classified as sarcopenic by Prado et al and Martin et al showed higher MR and DECT skeletal muscle fat fractions (MR-FF, DECT-FF) and lower DECT VNC HU values than non-sarcopenic patients. However, the 95% confidence intervals (95% CI) were large, and results were only significant for MR-FF. Patients who would have been classified as sarcopenic by van der Werf et al showed lower DECT-FF and MR-FF and higher DECT VNC HU values than patients which would have been classified as non-sarcopenic

Article Snippet: For this prospective study, 22 Caucasian patients were consecutively recruited according to the a priori inclusion criterion of a contrast-enhanced standardized abdominal dual-source DECT scan (SOMATOM Force®, Siemens).

Techniques: