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Skeletal muscle measurements predict surgical wound complications but not overall survival in patients with soft tissue sarcoma.

Authors :
Hirai T
Kobayashi H
Okuma T
Ishibashi Y
Ikegami M
Ohki T
Shinoda Y
Okajima K
Zhang L
Akiyama T
Goto T
Tanaka S
Source :
Japanese journal of clinical oncology [Jpn J Clin Oncol] 2020 Sep 28; Vol. 50 (10), pp. 1168-1174.
Publication Year :
2020

Abstract

Background: It is unknown whether sarcopenia influences treatment outcome in patients with soft tissue sarcoma. Herein, we aimed to elucidate the impact of sarcopenia on sarcoma treatment.<br />Methods: A total of 163 soft tissue sarcoma patients were included. Skeletal muscle measures were calculated using computed tomography images. Skeletal muscle area (SMA) and density (SMD) at the L3 level were extracted, and SMA was normalized by height as skeletal muscle index (SMI). The skeletal muscle gauge (SMG) was calculated by multiplying SMD × SMI. The relationship of skeletal muscle measures and clinical factors to wound complications and prognosis was evaluated, and classification and regression tree (CART) analysis was used to develop classification models for risk groups of surgical wound complications.<br />Results: Thirty-three patients developed wound complications. In univariate analysis, age (P = 0.0022), tumour location of adductor compartment of the thigh (P = 0.0019), operating time (P = 0.010), blood loss (P = 0.030), SMD (P = 0.0004) and SMG (P = 0.0001) were significantly correlated with complications. In multivariate analysis, lower SMG was an independent risk factor (P = 0.031, OR = 3.27). CART analysis classified three risk groups of surgical wound complications by SMG, age, tumour location and operating time, and area under the receiver operating characteristic curve (AUROCC) was 0.75. SMG was not associated with prognosis in univariate analysis (P = 0.15).<br />Conclusions: The SMG does not affect overall survival but predicts surgical wound complications.<br /> (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.)

Details

Language :
English
ISSN :
1465-3621
Volume :
50
Issue :
10
Database :
MEDLINE
Journal :
Japanese journal of clinical oncology
Publication Type :
Academic Journal
Accession number :
32533175
Full Text :
https://doi.org/10.1093/jjco/hyaa100