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A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients. / van Vugt, Jeroen L.A.; Levolger, Stef; Gharbharan, Arvind; Koek, Marcel; Niessen, Wiro J.; Burger, Jacobus W.A.; Willemsen, Sten P.; de Bruin, Ron W.F.; IJzermans, Jan N.M.

In: Journal of Cachexia, Sarcopenia and Muscle, Vol. 8, No. 2, 01.04.2017, p. 285-297.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

van Vugt, JLA, Levolger, S, Gharbharan, A, Koek, M, Niessen, WJ, Burger, JWA, Willemsen, SP, de Bruin, RWF & IJzermans, JNM 2017, 'A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients' Journal of Cachexia, Sarcopenia and Muscle, vol. 8, no. 2, pp. 285-297. https://doi.org/10.1002/jcsm.12158

APA

van Vugt, J. L. A., Levolger, S., Gharbharan, A., Koek, M., Niessen, W. J., Burger, J. W. A., ... IJzermans, J. N. M. (2017). A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients. Journal of Cachexia, Sarcopenia and Muscle, 8(2), 285-297. https://doi.org/10.1002/jcsm.12158

Vancouver

Author

van Vugt, Jeroen L.A. ; Levolger, Stef ; Gharbharan, Arvind ; Koek, Marcel ; Niessen, Wiro J. ; Burger, Jacobus W.A. ; Willemsen, Sten P. ; de Bruin, Ron W.F. ; IJzermans, Jan N.M. / A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients. In: Journal of Cachexia, Sarcopenia and Muscle. 2017 ; Vol. 8, No. 2. pp. 285-297.

BibTeX

@article{c216db7c95644a43a914da5715d7cac9,
title = "A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients",
abstract = "Background: The association between body composition (e.g. sarcopenia or visceral obesity) and treatment outcomes, such as survival, using single-slice computed tomography (CT)-based measurements has recently been studied in various patient groups. These studies have been conducted with different software programmes, each with their specific characteristics, of which the inter-observer, intra-observer, and inter-software correlation are unknown. Therefore, a comparative study was performed. Methods: Fifty abdominal CT scans were randomly selected from 50 different patients and independently assessed by two observers. Cross-sectional muscle area (CSMA, i.e. rectus abdominis, oblique and transverse abdominal muscles, paraspinal muscles, and the psoas muscle), visceral adipose tissue area (VAT), and subcutaneous adipose tissue area (SAT) were segmented by using standard Hounsfield unit ranges and computed for regions of interest. The inter-software, intra-observer, and inter-observer agreement for CSMA, VAT, and SAT measurements using FatSeg, OsiriX, ImageJ, and sliceOmatic were calculated using intra-class correlation coefficients (ICCs) and Bland–Altman analyses. Cohen's κ was calculated for the agreement of sarcopenia and visceral obesity assessment. The Jaccard similarity coefficient was used to compare the similarity and diversity of measurements. Results: Bland–Altman analyses and ICC indicated that the CSMA, VAT, and SAT measurements between the different software programmes were highly comparable (ICC 0.979–1.000, P < 0.001). All programmes adequately distinguished between the presence or absence of sarcopenia (κ = 0.88–0.96 for one observer and all κ = 1.00 for all comparisons of the other observer) and visceral obesity (all κ = 1.00). Furthermore, excellent intra-observer (ICC 0.999–1.000, P < 0.001) and inter-observer (ICC 0.998–0.999, P < 0.001) agreement for all software programmes were found. Accordingly, excellent Jaccard similarity coefficients were found for all comparisons (mean ≥ 0.964). Conclusions: FatSeg, OsiriX, ImageJ, and sliceOmatic showed an excellent agreement for CSMA, VAT, and SAT measurements on abdominal CT scans. Furthermore, excellent inter-observer and intra-observer agreement were achieved. Therefore, results of studies using these different software programmes can reliably be compared.",
keywords = "Adipose tissue mass, Body composition, Comparability, Computed tomography, Skeletal muscle mass, Software",
author = "{van Vugt}, {Jeroen L.A.} and Stef Levolger and Arvind Gharbharan and Marcel Koek and Niessen, {Wiro J.} and Burger, {Jacobus W.A.} and Willemsen, {Sten P.} and {de Bruin}, {Ron W.F.} and IJzermans, {Jan N.M.}",
year = "2017",
month = "4",
day = "1",
doi = "10.1002/jcsm.12158",
language = "English",
volume = "8",
pages = "285--297",
journal = "Journal of Cachexia, Sarcopenia and Muscle",
issn = "2190-5991",
publisher = "Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients

AU - van Vugt, Jeroen L.A.

AU - Levolger, Stef

AU - Gharbharan, Arvind

AU - Koek, Marcel

AU - Niessen, Wiro J.

AU - Burger, Jacobus W.A.

AU - Willemsen, Sten P.

AU - de Bruin, Ron W.F.

AU - IJzermans, Jan N.M.

PY - 2017/4/1

Y1 - 2017/4/1

N2 - Background: The association between body composition (e.g. sarcopenia or visceral obesity) and treatment outcomes, such as survival, using single-slice computed tomography (CT)-based measurements has recently been studied in various patient groups. These studies have been conducted with different software programmes, each with their specific characteristics, of which the inter-observer, intra-observer, and inter-software correlation are unknown. Therefore, a comparative study was performed. Methods: Fifty abdominal CT scans were randomly selected from 50 different patients and independently assessed by two observers. Cross-sectional muscle area (CSMA, i.e. rectus abdominis, oblique and transverse abdominal muscles, paraspinal muscles, and the psoas muscle), visceral adipose tissue area (VAT), and subcutaneous adipose tissue area (SAT) were segmented by using standard Hounsfield unit ranges and computed for regions of interest. The inter-software, intra-observer, and inter-observer agreement for CSMA, VAT, and SAT measurements using FatSeg, OsiriX, ImageJ, and sliceOmatic were calculated using intra-class correlation coefficients (ICCs) and Bland–Altman analyses. Cohen's κ was calculated for the agreement of sarcopenia and visceral obesity assessment. The Jaccard similarity coefficient was used to compare the similarity and diversity of measurements. Results: Bland–Altman analyses and ICC indicated that the CSMA, VAT, and SAT measurements between the different software programmes were highly comparable (ICC 0.979–1.000, P < 0.001). All programmes adequately distinguished between the presence or absence of sarcopenia (κ = 0.88–0.96 for one observer and all κ = 1.00 for all comparisons of the other observer) and visceral obesity (all κ = 1.00). Furthermore, excellent intra-observer (ICC 0.999–1.000, P < 0.001) and inter-observer (ICC 0.998–0.999, P < 0.001) agreement for all software programmes were found. Accordingly, excellent Jaccard similarity coefficients were found for all comparisons (mean ≥ 0.964). Conclusions: FatSeg, OsiriX, ImageJ, and sliceOmatic showed an excellent agreement for CSMA, VAT, and SAT measurements on abdominal CT scans. Furthermore, excellent inter-observer and intra-observer agreement were achieved. Therefore, results of studies using these different software programmes can reliably be compared.

AB - Background: The association between body composition (e.g. sarcopenia or visceral obesity) and treatment outcomes, such as survival, using single-slice computed tomography (CT)-based measurements has recently been studied in various patient groups. These studies have been conducted with different software programmes, each with their specific characteristics, of which the inter-observer, intra-observer, and inter-software correlation are unknown. Therefore, a comparative study was performed. Methods: Fifty abdominal CT scans were randomly selected from 50 different patients and independently assessed by two observers. Cross-sectional muscle area (CSMA, i.e. rectus abdominis, oblique and transverse abdominal muscles, paraspinal muscles, and the psoas muscle), visceral adipose tissue area (VAT), and subcutaneous adipose tissue area (SAT) were segmented by using standard Hounsfield unit ranges and computed for regions of interest. The inter-software, intra-observer, and inter-observer agreement for CSMA, VAT, and SAT measurements using FatSeg, OsiriX, ImageJ, and sliceOmatic were calculated using intra-class correlation coefficients (ICCs) and Bland–Altman analyses. Cohen's κ was calculated for the agreement of sarcopenia and visceral obesity assessment. The Jaccard similarity coefficient was used to compare the similarity and diversity of measurements. Results: Bland–Altman analyses and ICC indicated that the CSMA, VAT, and SAT measurements between the different software programmes were highly comparable (ICC 0.979–1.000, P < 0.001). All programmes adequately distinguished between the presence or absence of sarcopenia (κ = 0.88–0.96 for one observer and all κ = 1.00 for all comparisons of the other observer) and visceral obesity (all κ = 1.00). Furthermore, excellent intra-observer (ICC 0.999–1.000, P < 0.001) and inter-observer (ICC 0.998–0.999, P < 0.001) agreement for all software programmes were found. Accordingly, excellent Jaccard similarity coefficients were found for all comparisons (mean ≥ 0.964). Conclusions: FatSeg, OsiriX, ImageJ, and sliceOmatic showed an excellent agreement for CSMA, VAT, and SAT measurements on abdominal CT scans. Furthermore, excellent inter-observer and intra-observer agreement were achieved. Therefore, results of studies using these different software programmes can reliably be compared.

KW - Adipose tissue mass

KW - Body composition

KW - Comparability

KW - Computed tomography

KW - Skeletal muscle mass

KW - Software

UR - http://resolver.tudelft.nl/uuid:c216db7c-9564-4a43-a914-da5715d7cac9

UR - http://www.scopus.com/inward/record.url?scp=85005992069&partnerID=8YFLogxK

U2 - 10.1002/jcsm.12158

DO - 10.1002/jcsm.12158

M3 - Article

VL - 8

SP - 285

EP - 297

JO - Journal of Cachexia, Sarcopenia and Muscle

T2 - Journal of Cachexia, Sarcopenia and Muscle

JF - Journal of Cachexia, Sarcopenia and Muscle

SN - 2190-5991

IS - 2

ER -

ID: 33425206