Differentiation of pyogenic hepatic abscesses from malignant mimickers using multislice-based texture acquired from contrast-enhanced computed tomography

Méndez, 1994, Hepatic abscesses: MR imaging findings, Radiology, 190, 431, 10.1148/radiology.190.2.8284394 Chen, 2009, Severity of disease as main predictor for mortality in patients with pyogenic liver abscess, Am J Surg, 198, 164, 10.1016/j.amjsurg.2008.08.022 Mortelé, 2004, The infected liver: radiologic-pathologic correlation, Radiographics, 24, 937, 10.1148/rg.244035719 Mortelé, 2001, Cystic focal liver lesions in the adult: differential CT and MR imaging features, Radiographics, 21, 895, 10.1148/radiographics.21.4.g01jl16895 Chan, 2001, Diffusion-weighted MR imaging of the liver: distinguishing hepatic abscess from cystic or necrotic tumor, Abdom Imaging, 26, 161, 10.1007/s002610000122 Brown, 2003, Pylephlebitis and liver abscess mimicking hepatocellular carcinoma, Hepatobiliary Pancreat Dis Int, 2, 221 Park, 2013, Differentiating hepatic abscess from malignant mimickers: value of diffusion-weighted imaging with an emphasis on the periphery of the lesion, J Magn Reson Imaging, 38, 1333, 10.1002/jmri.24112 Ganeshan, 2012, Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival, Eur Radiol, 22, 796, 10.1007/s00330-011-2319-8 Ganeshan, 2013, Non-small cell lung cancer: histopathologic correlates for texture parameters at CT, Radiology, 266, 326, 10.1148/radiol.12112428 Ravanelli, 2013, Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy, Eur Radiol, 23, 3450, 10.1007/s00330-013-2965-0 Lee, 2014, Usefulness of texture analysis in differentiating transient from persistent part-solid nodules (PSNs): a retrospective study, PLoS One, 9, e85167, 10.1371/journal.pone.0085167 Ng, 2013, Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival, Radiology, 266, 177, 10.1148/radiol.12120254 Ba-Ssalamah, 2013, Texture-based classification of different gastric tumors at contrast-enhanced CT, Eur J Radiol, 82, e537, 10.1016/j.ejrad.2013.06.024 Gensure, 2012, Evaluation of hepatic tumor response to yttrium-90 radioembolization therapy using texture signatures generated from contrast-enhanced CT images, Acad Radiol, 19, 1201, 10.1016/j.acra.2012.04.015 Yap, 2013, Quantitative morphometric analysis of hepatocellular carcinoma: development of a programmed algorithm and preliminary application, Diagn Interv Radiol, 19, 97 Davnall, 2012, Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?, Insights Imaging, 3, 573, 10.1007/s13244-012-0196-6 Lambin, 2012, Radiomics: extracting more information from medical images using advanced feature analysis, Eur J Cancer, 48, 441, 10.1016/j.ejca.2011.11.036 Oruç, 2010, The role of diffusion-weighted MRI in the classification of liver hydatid cysts and differentiation of simple cysts and abscesses from hydatid cysts, Diagn Interv Radiol, 16, 279 Choi, 2013, “Nondefect” of arterial enhancing rim on hepatobiliary phase in 3.0-T gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced liver magnetic resonance imaging: distinguishing hepatic abscess from metastasis, J Comput Assist Tomogr, 37, 849, 10.1097/RCT.10.1097/RCT.0b013e318297211a Ganeshan, 2009, Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver, Eur J Radiol, 70, 101, 10.1016/j.ejrad.2007.12.005 Ng, 2013, Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis?, Eur J Radiol, 82, 342, 10.1016/j.ejrad.2012.10.023