Comparison between CT volumetry, technetium99m galactosyl-serum-albumin scintigraphy, and gadoxetic-acid-enhanced MRI to estimate the liver fibrosis stage in preoperative patients

© 2023. The Author(s), under exclusive licence to European Society of Radiology..

OBJECTIVES: To compare the efficacy of computed tomography volumetry (CTV), technetium99m galactosyl-serum-albumin (99mTc-GSA) scintigraphy, and gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic-acid-enhanced MRI (EOB-MRI) in estimating the liver fibrosis (LF) stage in patients undergoing liver resection.

METHODS: This retrospective study included 91 consecutive patients who had undergone preoperative dynamic CT and 99mTc-GSA scintigraphy. EOB-MRI was performed in 76 patients. CTV was used to measure the total liver volume (TLV), spleen volume (SV), normalised to the body surface area (BSA), and liver-to-spleen volume ratio (TLV/SV). 99mTc-GSA scintigraphy provided LHL15, HH15, and GSA indices. The liver-to-spleen ratio (LSR) was calculated in the hepatobiliary phase of EOB-MRI. Hyaluronic acid and type 4 collagen levels were measured in 65 patients. Logistic regression and receiver operating characteristic (ROC) analyses were performed to identify useful parameters for estimating the LF stage and laboratory data.

RESULTS: According to the multivariable logistic regression analysis, SV/BSA (odds ratio [OR], 1.01; 95% confidence interval [CI], 1.003-1.02; p = 0.011), LSR (OR, 0.06; 95%CI, 0.004-0.70; p = 0.026), and hyaluronic acid (OR, 1.01; 95%CI, 1.001-1.02; p = 0.024) were independent variables for severe LF (F3-4). Combined SV/BSA, LSR, and hyaluronic acid correctly estimated severe LF, with an AUC of 0.91, which was significantly larger than the AUCs of the GSA index (AUC = 0.84), SV/BSA (AUC = 0.83), or LSR (AUC = 0.75) alone.

CONCLUSIONS: Combined CTV, EOB-MRI, and hyaluronic acid analyses improved the estimation accuracy of severe LF compared to CTV, EOB-MRI, or 99mTc-GSA scintigraphy individually.

CLINICAL RELEVANCE STATEMENT: The combined analysis of spleen volume on CT volumetry, liver-to-spleen ratio on gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic-acid-enhanced MRI, and hyaluronic acid can identify severe liver fibrosis associated with a high risk of liver failure after hepatectomy and recurrence in patients with hepatocellular carcinoma.

KEY POINTS: • Spleen volume of CT volumetry normalised to the body surface area, liver-to-spleen ratio of EOB-MRI, and hyaluronic acid were independent variables for liver fibrosis. • CT volumetry and EOB-MRI enable the detection of severe liver fibrosis, which may correlate with post-hepatectomy liver failure and complications. • Combined CT volumetry, gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic-acid-enhanced MRI (EOB-MRI), and hyaluronic acid analyses improved the estimation of severe liver fibrosis compared to technetium99m galactosyl-serum-albumin scintigraphy.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:34

Enthalten in:

European radiology - 34(2024), 4 vom: 04. Apr., Seite 2212-2222

Sprache:

Englisch

Beteiligte Personen:

Nakazawa, Yujiro [VerfasserIn]
Okada, Masahiro [VerfasserIn]
Hyodo, Tomoko [VerfasserIn]
Tago, Kenichiro [VerfasserIn]
Shibutani, Kazu [VerfasserIn]
Mizuno, Mariko [VerfasserIn]
Yoshikawa, Hiroki [VerfasserIn]
Abe, Hayato [VerfasserIn]
Higaki, Tokio [VerfasserIn]
Okamura, Yukiyasu [VerfasserIn]
Takayama, Tadatoshi [VerfasserIn]

Links:

Volltext

Themen:

03K6SX4V2J
7440-26-8
9004-61-9
AU0V1LM3JT
CT volumetry
Diethylenetriamine
EOB-MRI
Gadolinium
Hyaluronic Acid
Journal Article
Liver fibrosis
Polyamines
Radiopharmaceuticals
Serum Albumin
Technetium
Technetium Tc 99m Aggregated Albumin
Technetium Tc 99m Pentetate
Technetium99m galactosyl-serum-albumin scintigraphy
VW78417PU1

Anmerkungen:

Date Completed 22.03.2024

Date Revised 09.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s00330-023-10219-9

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM361716109