Imanta Ozola-Zālīte1, Esben Bolvig Mark2,3, Tomas Gudauskas3, Vladimir Lyadov4, Søren Schou Olesen2, Asbjørn Mohr Drewes2, Aldis Pukitis5, Jens Brøndum Frokjær3. 1. Gastroenterology, Hepatology and Nutrition Centre, Pauls Stradins Clinical University Hospital, Riga, Latvia. 2. Mech-Sense & Centre for Pancreatic Diseases, Department of Gastroenterology and Hepatology, Clinical Institute, Aalborg University Hospital, Aalborg, Denmark. 3. Department of Radiology, Clinical Institute, Aalborg University Hospital, Aalborg, Denmark. 4. Department of Personalized Oncology, Clinical Hospital N1 "MEDSI", Moscow, Russia. 5. Gastroenterology, Hepatology and Nutrition Centre, Pauls Stradins Clinical University Hospital, Riga, Latvia. pukitis@latnet.lv.
Abstract
BACKGROUND/ OBJECTIVES: Body composition assessment by computed tomography (CT) is increasingly used for diagnostic and prognostic purposes in various patient groups. This study aimed to compare the reliability and validity of a newly in-house developed segmentation software VikingSlice against a commercial software (SliceOMatic) for quantification of adipose tissue and skeletal muscle cross-sectional areas (CSA). SUBJECTS/ METHODS: Fifty abdominal CT sets from chronic pancreatitis patients were analyzed (mean age 49, range 27-84 years; 38 males). Soft tissue CSAs at level of 4th lumbar vertebra were assessed by measuring standard Hounsfield unit threshold definitions with both softwares. Analysis with VikingSlice included automatic segmentation of interested region with subsequent manual corrections. Analysis with SliceOMatic included manual segmentation of each area. Same investigator measured CSAs using both programs. Inter-observer reliability of CSAs measurements with VikingSlice were assessed by comparing results from two independent investigators. Measurements were compared using the intra-class correlation coefficient (ICC), coefficient of variation (CV), Jaccard index and Bland-Altman analyses. RESULTS: The inter-observer reliability of VikingSlice was excellent (CV 3.4-15.4%, ICC 0.979-0.999, Jaccard index 0.68-0.98). Validity was high (CV 1.6-10.2%, ICC 0.950-0.997) for measurements by SliceOmatic and VikingSlice. The findings were supported in the Bland-Altman plots. The reliability study had small average differences with means of soft tissue compartments in range -2.29 cm2 to 1.56 cm2; average differences between both softwares were -1.28 cm2 to 0.31 cm2. CONCLUSIONS: The in-house developed software VikingSlice was fast and showed good reliability that is comparable with commercial software in its utility to estimate adipose tissue and skeletal muscle CSAs.
BACKGROUND/ OBJECTIVES: Body composition assessment by computed tomography (CT) is increasingly used for diagnostic and prognostic purposes in various patient groups. This study aimed to compare the reliability and validity of a newly in-house developed segmentation software VikingSlice against a commercial software (SliceOMatic) for quantification of adipose tissue and skeletal muscle cross-sectional areas (CSA). SUBJECTS/ METHODS: Fifty abdominal CT sets from chronic pancreatitispatients were analyzed (mean age 49, range 27-84 years; 38 males). Soft tissue CSAs at level of 4th lumbar vertebra were assessed by measuring standard Hounsfield unit threshold definitions with both softwares. Analysis with VikingSlice included automatic segmentation of interested region with subsequent manual corrections. Analysis with SliceOMatic included manual segmentation of each area. Same investigator measured CSAs using both programs. Inter-observer reliability of CSAs measurements with VikingSlice were assessed by comparing results from two independent investigators. Measurements were compared using the intra-class correlation coefficient (ICC), coefficient of variation (CV), Jaccard index and Bland-Altman analyses. RESULTS: The inter-observer reliability of VikingSlice was excellent (CV 3.4-15.4%, ICC 0.979-0.999, Jaccard index 0.68-0.98). Validity was high (CV 1.6-10.2%, ICC 0.950-0.997) for measurements by SliceOmatic and VikingSlice. The findings were supported in the Bland-Altman plots. The reliability study had small average differences with means of soft tissue compartments in range -2.29 cm2 to 1.56 cm2; average differences between both softwares were -1.28 cm2 to 0.31 cm2. CONCLUSIONS: The in-house developed software VikingSlice was fast and showed good reliability that is comparable with commercial software in its utility to estimate adipose tissue and skeletal muscle CSAs.
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Authors: Lisa Jannicke Kjønigsen; Magnus Harneshaug; Ann-Monica Fløtten; Lena Korsmo Karterud; Kent Petterson; Grethe Skjolde; Heidi B Eggesbø; Harald Weedon-Fekjær; Hege Berg Henriksen; Peter M Lauritzen Journal: Eur Radiol Exp Date: 2019-10-30