Literature DB >> 23083523

Quantitative hepatic CT perfusion measurement: comparison of Couinaud's hepatic segments with dual-source 128-slice CT.

Xuan Wang1, Hua-dan Xue, Zheng-Yu Jin, Bai-yan Su, Zhuo Li, Hao Sun, Yu Chen, Wei Liu.   

Abstract

PURPOSE: To compare the quantitative liver computed tomography perfusion (CTP) differences among eight hepatic segments.
MATERIALS AND METHODS: This retrospective study was based on 72 acquired upper abdomen CTP scans for detecting suspected pancreas tumor. Patients with primary or metastatic liver tumor, any focal liver lesions except simple cyst (<3 cm in diameter), history of liver operation or splenectomy, evidence of liver cirrhosis or invasion of portal vein were excluded. The final analysis included 50 patients (M:F=21:29, mean age=43.2 years, 15-76 years). Arterial liver perfusion (ALP), portal-venous perfusion (PVP), total hepatic perfusion (THP=ALP+PVP), and hepatic perfusion index (HPI) of each hepatic segment were calculated and compared by means of one-way analysis of variance (ANOVA) and the Bonferonni correction method.
RESULTS: Compared to hepatic segments 5, 6, 7 and 8, segments 2 and 3 showed a tendency of higher ALPs, lower PVPs, and higher HPIs, most of which were statistically significant (p<0.05). Hepatic segments 1 and 4 had higher mean values of ALP and HPI and lower mean values of PVP than segments 5, 6, 7 and 8 as well, although no significant differences were detected except for ALP and HPI for liver segments 1 and 7 (p=0.001 and 0.035 respectively), and ALP for liver segments 1 and 5 (p=0.039). Higher ALP and HPI were showed in hepatic segment 3 compared to segment 4 (p=0.000 and 0.000 respectively). No significant differences were found for THP among eight segments.
CONCLUSIONS: Intra-hepatic perfusion differences exist in normal hepatic parenchyma especially between lateral sector (segments 2 and 3) and right lobe (segments 5, 6, 7 and 8). This might have potential clinical significance in liver-perfusion-related protocol design and result analysis.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23083523     DOI: 10.1016/j.ejrad.2012.09.015

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

1.  Arterial and portal venous liver perfusion using selective spin labelling MRI.

Authors:  Hanke J Schalkx; Esben T Petersen; Nicky H G M Peters; Wouter B Veldhuis; Maarten S van Leeuwen; Josien P W Pluim; Maurice A A J van den Bosch; Marijn van Stralen
Journal:  Eur Radiol       Date:  2015-03-22       Impact factor: 5.315

2.  Shear wave velocity might correlate with portal venous perfusion if correct portal venous perfusion techniques are used.

Authors:  Yoshito Tsushima; Ayako Taketomi-Takahashi
Journal:  J Med Ultrason (2001)       Date:  2019-06-04       Impact factor: 1.314

3.  Response to the Letter: Shear wave velocity might correlate with portal venous perfusion if correct portal venous perfusion techniques are used.

Authors:  Michael Esser; Marius Horger
Journal:  J Med Ultrason (2001)       Date:  2019-06-17       Impact factor: 1.314

4.  Is liver perfusion CT reproducible? A study on intra- and interobserver agreement of normal hepatic haemodynamic parameters obtained with two different software packages.

Authors:  Elisa Almeida Sathler Bretas; Ulysses S Torres; Lucas Rios Torres; Daniel Bekhor; Celso Fernando Saito Filho; Douglas Jorge Racy; Lorenzo Faggioni; Giuseppe D'Ippolito
Journal:  Br J Radiol       Date:  2017-08-22       Impact factor: 3.039

Review 5.  Perfusion CT imaging of the liver: review of clinical applications.

Authors:  Hayri Oğul; Mecit Kantarcı; Berhan Genç; Berhan Pirimoğlu; Neşat Cullu; Yeşim Kızrak; Omer Yılmaz; Nevzat Karabulut
Journal:  Diagn Interv Radiol       Date:  2014 Sep-Oct       Impact factor: 2.630

6.  CT Perfusion Imaging Can Predict Patients' Survival and Early Response to Transarterial Chemo-Lipiodol Infusion for Liver Metastases from Colorectal Cancers.

Authors:  Wei-Fu Lv; Jian-Kui Han; De-Lei Cheng; Chun-Ze Zhou; Ming Ni; Dong Lu
Journal:  Korean J Radiol       Date:  2015-07-01       Impact factor: 3.500

7.  Preoperative hepatic CT perfusion as an early predictor for the recurrence of esophageal squamous cell carcinoma: initial clinical results.

Authors:  Takeshi Fujishiro; Kiyohiko Shuto; Koichi Hayano; Asami Satoh; Tsuguaki Kono; Gaku Ohira; Takayuki Tohma; Hisashi Gunji; Kazuo Narushima; Toru Tochigi; Toshiharu Hanaoka; Sayaka Ishii; Noriyuki Yanagawa; Hisahiro Matsubara
Journal:  Oncol Rep       Date:  2014-01-22       Impact factor: 3.906

8.  Diminished liver microperfusion in Fontan patients: A biexponential DWI study.

Authors:  Hildebrand Dijkstra; Djoeke Wolff; Joost P van Melle; Beatrijs Bartelds; Tineke P Willems; Matthijs Oudkerk; Hans Hillege; Aad P van den Berg; Tjark Ebels; Rolf M F Berger; Paul E Sijens
Journal:  PLoS One       Date:  2017-03-03       Impact factor: 3.240

9.  Differences of liver CT perfusion of blunt trauma treated with therapeutic embolization and observation management.

Authors:  Yon-Cheong Wong; Li-Jen Wang; Cheng-Hsien Wu; Huan-Wu Chen; Kuo-Ching Yuan; Yu-Pao Hsu; Being-Chuan Lin; Shih-Ching Kang
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

Review 10.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  10 in total

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