Correlation Between Sarcopenia and Growth Rate of the Future Liver Remnant After Portal Vein Embolization in Patients with Colorectal Liver Metastases.


Journal

Cardiovascular and interventional radiology
ISSN: 1432-086X
Titre abrégé: Cardiovasc Intervent Radiol
Pays: United States
ID NLM: 8003538

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 18 10 2019
accepted: 09 01 2020
pubmed: 25 1 2020
medline: 24 11 2020
entrez: 25 1 2020
Statut: ppublish

Résumé

To investigate whether sarcopenia and myosteatosis correlate with the degree of hypertrophy (DH) and kinetic growth rate (KiGR) of the future liver remnant (FLR) in patients with colorectal liver metastases undergoing portal vein embolization (PVE) in preparation for right hepatectomy. Forty-two patients were included. Total liver volume and FLR volume were measured before and 2-4 weeks after PVE. KiGR of the FLR was calculated. Sarcopenia was assessed using the total psoas muscle volume (PMV), the psoas muscle cross-sectional area (PMCS) and the total skeletal muscle index (L3SMI) at the level of 3rd lumbar vertebra. Degree of myosteatosis was assessed by mean muscle attenuation at L3 (L3MA). Correlations between muscle indices and DH and KiGR were assessed using simple linear regression analyses. Mean DH was 8.9 ± 5.7%, and mean KiGR was 3.6 ± 2.3. Mean PMV was 55.56 ± 14.19 cm We identified a positive correlation between PMV and PMCS, as markers for sarcopenia, and the KiGR of the FLR after PVE. PMV and PMCS might therefore aid to identify patients who are poor candidates for FLR augmentation using PVE alone.

Identifiants

pubmed: 31974746
doi: 10.1007/s00270-020-02416-6
pii: 10.1007/s00270-020-02416-6
pmc: PMC7225189
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

875-881

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Auteurs

M Schulze-Hagen (M)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany. mschulze@ukaachen.de.

D Truhn (D)

Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, DE, Germany.

F Duong (F)

Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, DE, Germany.

S Keil (S)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany.

F Pedersoli (F)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany.

C K Kuhl (CK)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany.

G Lurje (G)

Department of Surgery and Transplantation, RWTH Aachen University Hospital, Aachen, DE, Germany.

U Neumann (U)

Department of Surgery and Transplantation, RWTH Aachen University Hospital, Aachen, DE, Germany.

P Isfort (P)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany.

P Bruners (P)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany.

M Zimmermann (M)

Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, Aachen, DE, Germany.

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