Literature DB >> 30267107

Evaluation of texture analysis for the differential diagnosis of focal nodular hyperplasia from hepatocellular adenoma on contrast-enhanced CT images.

Roberto Cannella1,2, Amir A Borhani1, Marta I Minervini3, Allan Tsung4, Alessandro Furlan5.   

Abstract

PURPOSE: To explore the value of CT texture analysis (CTTA) for differentiation of focal nodular hyperplasia (FNH) from hepatocellular adenoma (HCA) on contrast-enhanced CT (CECT).
METHODS: This is a retrospective, IRB-approved study conducted in a single institution. A search of the medical records between 2008 and 2017 revealed 48 patients with 70 HCA and 50 patients with 62 FNH. All lesions were histologically proven and with available pre-operative CECT imaging. Hepatic arterial phase (HAP) and portal venous phase (PVP) were used for CTTA. Textural features were extracted using a commercially available research software (TexRAD). The differences between textural parameters of FNH and HCA were assessed using the Mann-Whitney U test and the AUROC were calculated. CTTA parameters showing significant difference in rank sum test were used for binary logistic regression analysis. A p value < 0.05 was considered statistically significant.
RESULTS: On HAP images, mean, mpp, and skewness were significantly higher in FNH than in HCA on unfiltered images (p ≤ 0.007); SD, entropy, and mpp on filtered analysis (p ≤ 0.006). On PVP, mean, mpp, and skewness in FNH were significantly different from HCA (p ≤ 0.001) on unfiltered images, while entropy and kurtosis were significantly higher in FNH on filtered images (p ≤ 0.018). The multivariate logistic regression analysis indicated that the mean, mpp, and entropy of medium-level and coarse-level filtered images on HAP were independent predictors for the diagnosis of HCA and a model based on all these parameters showed the largest AUROC (0.824).
CONCLUSIONS: Multiple explored CTTA parameters are significantly different between FNH and HCA on CECT.

Entities:  

Keywords:  Computer tomography; Focal nodular hyperplasia; Hepatocellular adenoma; Liver; Texture analysis

Mesh:

Substances:

Year:  2019        PMID: 30267107     DOI: 10.1007/s00261-018-1788-5

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  6 in total

1.  Robotic resection of liver focal nodal hyperplasia guided by indocyanine green fluorescence imaging: A preliminary analysis of 23 cases.

Authors:  Cheng-Gang Li; Zhi-Peng Zhou; Xiang-Long Tan; Zi-Zheng Wang; Qu Liu; Zhi-Ming Zhao
Journal:  World J Gastrointest Oncol       Date:  2020-12-15

2.  Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma.

Authors:  Guangjie Yang; Aidi Gong; Pei Nie; Lei Yan; Wenjie Miao; Yujun Zhao; Jie Wu; Jingjing Cui; Yan Jia; Zhenguang Wang
Journal:  Mol Imaging       Date:  2019 Jan-Dec       Impact factor: 4.488

3.  A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver.

Authors:  Pei Nie; Guangjie Yang; Jian Guo; Jingjing Chen; Xiaoli Li; Qinglian Ji; Jie Wu; Jingjing Cui; Wenjian Xu
Journal:  Cancer Imaging       Date:  2020-02-24       Impact factor: 3.909

4.  Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images.

Authors:  Shuai Ren; Jingjing Zhang; Jingya Chen; Wenjing Cui; Rui Zhao; Wenli Qiu; Shaofeng Duan; Rong Chen; Xiao Chen; Zhongqiu Wang
Journal:  Front Oncol       Date:  2019-11-05       Impact factor: 6.244

5.  Computed Tomography Image Texture under Feature Extraction Algorithm in the Diagnosis of Effect of Specific Nursing Intervention on Mycoplasma Pneumonia in Children.

Authors:  Yuyan Bi; Cuifeng Jiang; Hua Qi; Haiwei Zhou; Lixia Sun
Journal:  J Healthc Eng       Date:  2021-10-16       Impact factor: 2.682

Review 6.  Advances in liver US, CT, and MRI: moving toward the future.

Authors:  Federica Vernuccio; Roberto Cannella; Tommaso Vincenzo Bartolotta; Massimo Galia; An Tang; Giuseppe Brancatelli
Journal:  Eur Radiol Exp       Date:  2021-12-07
  6 in total

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