Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Deep Learning-Based Assessment of Functional Liver Capacity Using Gadoxetic Acid-Enhanced Hepatobiliary Phase MRIopen access

Authors
Park, Hyo JungYoon, Jee SeokLee, Seung SooSuk, Heung-IlPark, BumwooSung, Yu SubHong, Seung BaekRyu, Hwaseong
Issue Date
Jul-2022
Publisher
KOREAN SOCIETY OF RADIOLOGY
Keywords
Deep learning; Gadoxetic acid; Magnetic resonance imaging; Volumetry; Liver
Citation
KOREAN JOURNAL OF RADIOLOGY, v.23, no.7, pp.720 - 731
Indexed
SCIE
SCOPUS
KCI
Journal Title
KOREAN JOURNAL OF RADIOLOGY
Volume
23
Number
7
Start Page
720
End Page
731
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/142937
DOI
10.3348/kjr.2021.0892
ISSN
1229-6929
Abstract
Objective: We aimed to develop and test a deep learning algorithm (DLA) for fully automated measurement of the volume and signal intensity (SI) of the liver and spleen using gadoxetic acid-enhanced hepatobiliary phase (HBP)-magnetic resonance imaging (MRI) and to evaluate the clinical utility of DLA-assisted assessment of functional liver capacity. Materials and Methods: The DLA was developed using HBP-MRI data from 1014 patients. Using an independent test dataset (110 internal and 90 external MRI data), the segmentation performance of the DLA was measured using the Dice similarity score (DSS), and the agreement between the DLA and the ground truth for the volume and SI measurements was assessed with a Bland-Altman 95% limit of agreement (LOA). In 276 separate patients (male:female, 191:85; mean age +/- standard deviation, 40 +/- 15 years) who underwent hepatic resection, we evaluated the correlations between various DLA-based MRI indices, including liver volume normalized by body surface area (LVBSA), liver-to-spleen SI ratio (LSSR), MRI parameter-adjusted LSSR (aLSSR), LSSR x LVBSA, and aLSSR x LVBSA, and the indocyanine green retention rate at 15 minutes (ICG-R15), and determined the diagnostic performance of the DLA-based MRI indices to detect ICG-R15 >= 20%. Results: In the test dataset, the mean DSS was 0.977 for liver segmentation and 0.946 for spleen segmentation. The BlandAltman 95% LOAs were 0.08% +/- 3.70% for the liver volume, 0.20% +/- 7.89% for the spleen volume, -0.02% +/- 1.28% for the liver SI, and -0.01% +/- 1.70% for the spleen SI. Among DLA-based MRI indices, aLSSR x LVBSA showed the strongest correlation with ICG-R15 (r = -0.54, p < 0.001), with area under receiver operating characteristic curve of 0.932 (95% confidence interval, 0.895-0.959) to diagnose ICG-R15 >= 20%. Conclusion: Our DLA can accurately measure the volume and SI of the liver and spleen and may be useful for assessing functional liver capacity using gadoxetic acid-enhanced HBP-MRI.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE