Nan Wang1, Ye Li1, Qingwei Song1, Xin Li2, Yan Guo3, Lizhi Xie3, Tingfan Wu2, and Ailian Liu1
1The First Affiliated Hospital of Dalian Medical University, Dalian, China, 2Translational Medicine Team, GE Healthcare, Shanghai, China, 3GE Healthcare, Beijing, China
Synopsis
Liver
abscess is a serious abdominal infection that may be caused by bacteria, fungi,
or parasites. The typical imaging findings of liver abscess on multiphase
contrast-enhanced CT are well known, such as the “double target sign” in liver
abscess, multilocular appearance, small bubbles or gas-liquid plane in the
cavity. liver metastasis that develop
central necrosis or cyst may mimic the appearance of liver abscess.
Purpose
To determine feasibility of texture analysis of diffusion weighted imaging for differential diagnosis of liver
abscess and liver metastatic tumor.Introduction
MRI has the characteristics of
multi-azimuth, multi-direction and multi-parameter, which plays an important
role in the diagnosis of liver abscess and liver metastasis[1,2].
The role of MRI in the diagnosis of liver abscess has been discussed in
previous studies. Texture analysis (TA) is an emerging imaging application that
allows for quantification of the heterogeneity in an organ or focal lesion by
analyzing the distribution and/or relation-ship of pixel gray levels of
intensity within a region of interest(ROI)[3].Methods
From
June 2015 to Dec 2018, 43 patients with 66 liver lesions(24 liver abscess by
percutaneous drainage or combining with clinical symptom and imaging after
follow-up, and 29 liver metastatic tumor by medical history and follow-up)
underwent 1.5T MRI scans. The images of DWI were derived for texture analysis
on AW4.5 workstation. The ROI was placed at the maximum level of high signal
region, 2mm inside along the medial margin of the lesion. Texture features
derived from the gray-level histogram, co-occurrence were calculated, including
mean intensity, median intensity, standard deviation, variance, voxel count,
skewness, mean deviation, energy, entropy, inverse difference moment. These
parameters of liver abscess and liver metastatic tumor were compared by independent sample t-test or Mann-Whitney U. The
operating characteristic curve of subjects was drawn, and the area under the
curve was obtained. Sensitivity and specificity in calculating the optimal
threshold.Results
The
mean intensity, median intensity, standard deviation and variance of liver abscesses
were significantly higher than that of liver metastatic tumors(P<0.05).
The voxel count, skewness, mean deviation and inverse
difference moment of liver metastatic tumors were significantly higher than
that of liver abscesses(P<0.05). The entropy of liver
abscesses were higher than that of liver metastatic tumors(P>0.05).
The energy of liver metastatic tumors were higher than that of liver abscesses(P>0.05)
(Table 1). Inverse difference moment is the best parameters for
differential diagnosis. The area under curve(AUC) was 0.868. The sensitivity and specificity of liver metastatic tumors except
liver abscesses were 91.7% and 79.3% (Table 2, Figure 1).Conclution
Texture
analysis of DWI images is an effective methods in differential diagnosis of
liver abscess and liver metastatic tumor. Inverse difference moment is the best
texture parameters.Acknowledgements
No acknowledgements found.References
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Radiol (NY). 2018. 43(10): 2885-2886.
2. Alsaif HS, Venkatesh SK, Chan DS, et al. CT appearance of pyogenic liver abscesses caused by
Klebsiella pneumoniae. Radiology. 2011, 260(1): 129-138.
3. Stocker D, Marquez HP, Wagner MW, et al. MRI texture
analysis for differentiation of malignant and benign hepatocellular tumors in
the noncirrhotic liver. Heliyon. 2018, 4(11): e00987.