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A Novel Non-invasive Method for Predicting Liver Fibrosis by Quantifying the Hepatic Vein Waveform

Authors :
Takuma Nakatsuka
Kazuhiko Koike
Mariko Tanaka
Hitoshi Ikeda
Masashi Fukayama
Yasuo Tanaka
Tomomi Iwai
Ryosuke Tateishi
Mamiko Sato
Taijiro Wake
Tatsuya Minami
Ryo Nakagomi
Masaya Sato
Yoshinari Asaoka
Mizuki Nishibatake Kinoshita
Hayato Nakagawa
Hiromi Hikita
Hiroaki Gotoh
Tamaki Kobayashi
Koji Uchino
Kenichiro Enooku
Naoko Yamauchi
Makiko Kurihara
Ayaka Nakamura
Yutaka Yatomi
Yoko Soroida
Momoe Endo
Source :
Ultrasound in Medicine & Biology. 45:2363-2371
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

The hepatic vein (HV) waveform by Doppler ultrasound reflects the severity of liver fibrosis. We conducted a proof-of-concept study of a new method for quantifying the HV waveform. We calculated the coefficient of variation (CV) of the HV flow velocity and created a new index "q-HV" (quantified HV) and analyzed its performance for predicting histologic liver fibrosis in 114 patients with chronic liver disease. The CV of the HV flow velocity was well associated with flattening of the waveform and the q-HV significantly increased with the progression of liver fibrosis. The areas under the curve for the prediction of fibrosis stage were 0.732 for F2, 0.772 for F3 and 0.805 for F4. Combined q-HV and FIB-4 index (widely used liver fibrosis score) increased the diagnostic accuracy for liver fibrosis. The q-HV showed good accuracy for predicting liver fibrosis; thus, q-HV is feasible and acceptable as a non-invasive tool for predicting liver fibrosis.

Details

ISSN :
03015629
Volume :
45
Database :
OpenAIRE
Journal :
Ultrasound in Medicine & Biology
Accession number :
edsair.doi.dedup.....05c1cc6d560cb84eba19ba6cc9f8d6fb
Full Text :
https://doi.org/10.1016/j.ultrasmedbio.2019.05.028