Quantification of adipose tissues by Dual-Energy X-Ray Absorptiometry and Computed Tomography in colorectal cancer patients. (June 2021)

• Record Type: Journal Article
• Authors: Alavi, Dena Helene; Henriksen, Hege Berg; Lauritzen, Peter Mæhre; Kværner, Ane Sørlie; Sakinis, Tomas; Langleite, Torgrim Mikal; Henriksen, Christine; Bøhn, Siv Kjølsrud; Paur, Ingvild; Wiedswang, Gro; Smeland, Sigbjørn; Blomhoff, Rune
• Is Part Of: Clinical nutrition ESPEN. Volume 43(2021)
• Page Start: 360
• Page End: 368
• Publication Date: 2021-06
• Subjects: Visceral adipose tissue -- Adipose tissue -- Inter- and intramuscular adipose tissue -- Dual-energy X-ray absorptiometry -- Computed tomography -- Colorectal cancer; CRC colorectal cancer -- DXA Dual-Energy X-Ray Absorptiometry -- CT Computed Tomography -- VAT visceral adipose tissue -- FM fat mass -- SAT subcutaneous adipose tissue -- IMAT inter- and intramuscular adipose tissue -- ISCD International Society for Clinical Densitometry -- PG-SGA Patient-Generated Subjective Global Assessment; Nutritionally induced diseases -- Periodicals; Metabolism -- Disorders -- Periodicals; 616.39005
• DOI: 10.1016/j.clnesp.2021.03.022
• Languages: English
• ISSNs: 2405-4577

Abstract

Summary: Background & aims: Excess adipose tissue may affect colorectal cancer (CRC) patients' disease progression and treatment. In contrast to the commonly used anthropometric measurements, Dual-Energy X-Ray Absorptiometry (DXA) and Computed Tomography (CT) can differentiate adipose tissues. However, these modalities are rarely used in the clinic despite providing high-quality estimates. This study aimed to compare DXA's measurement of abdominal visceral adipose tissue (VAT) and fat mass (FM) against a corresponding volume by CT in a CRC population. Secondly, we aimed to identify the best single lumbar CT slice for abdominal VAT. Lastly, we investigated the associations between anthropometric measurements and VAT estimated by DXA and CT. Methods: Non-metastatic CRC patients between 50-80 years from the ongoing randomized controlled trial CRC-NORDIET were included in this cross-sectional study. Corresponding abdominal volumes were acquired by Lunar iDXA and from clinically acquired CT examinations. Also, single CT slices at L2-, L3-and L4-level were obtained. Agreement between the methods was investigated using univariate linear regression and Bland–Altman plots. Results: Sixty-six CRC patients were included. Abdominal volumetric VAT and FM measured by DXA explained up to 91% and 96% of the variance in VAT and FM by CT, respectively. Bland–Altman plots demonstrated an overestimation of VAT by DXA compared to CT (mean difference of 76 cm 3 ) concurrent with an underestimation of FM (mean difference of −319 cm 3 ). A higher overestimation of VAT (p = 0.015) and underestimation of FM (p = 0.036) were observed in obese relative to normal weight subjects. VAT in a single slice at L3-level showed the highest explained variance against CT volume (R 2 = 0.97), but a combination of three slices (L2, L3, L4) explained a significantly higher variance than L3 alone (R 2 = 0.98, p < 0.006). The anthropometric measurements explained between 31-65% of the variance of volumetric VAT measured by DXA and CT. Conclusions: DXA and the combined use of three CT slices (L2-L4) are valid to predict abdominal volumetric VAT and FM in CRC patients when using volumetric CT as a reference method. Due to the poor performance of anthropometric measurements we recommend exploring the added value of advanced body composition by DXA and CT integrated into CRC care.