Literature DB >> 18242909

Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver.

Balaji Ganeshan1, Kenneth A Miles, Rupert C D Young, Chris R Chatwin.   

Abstract

OBJECTIVES: To determine whether texture analysis of non-contrast enhanced computed tomography (CT) images in apparently disease-free areas of the liver is altered by the presence of extra- and intra-hepatic malignancy in colorectal cancer patients.
MATERIALS AND METHODS: Hepatic attenuation and texture were assessed from non-contrast enhanced CT in three groups of colorectal cancer patients: (A) 15 controls with no malignancy; (B) nine patients with extra-hepatic malignancy but no liver involvement; (C) eight patients with hepatic metastases. Regions of interest were manually constructed only over apparently normal areas of liver tissue excluding major blood vessels and areas of intra-hepatic fat, which may otherwise alter CT texture irrespective of the presence of malignancy. Texture was analysed on unfiltered images and following band-pass image filtration to highlight image features at different spatial frequencies (fine: 2 pixels/1.68 mm in width, medium: 6 pixels/5.04 mm and coarse: 12 pixels/10.08 mm). The relative contributions made to the image by features at two different spatial frequencies were expressed as filter ratios (fine/medium, fine/coarse and medium/coarse). Texture was quantified as mean grey-level intensity, entropy and uniformity.
RESULTS: Texture was not altered on unfiltered images whereas relative texture analysis following image filtration identified differences in fine to medium texture ratios in apparently disease-free areas of the liver in patients with hepatic metastases as compared to patients with no tumour (entropy, p=0.0257) and patients with extra-hepatic disease (uniformity, p=0.0143).
CONCLUSIONS: Relative texture analysis of unenhanced hepatic CT can reveal changes in apparently disease-free areas of the liver that have previously required more complex perfusion measurements for detection.

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Year:  2008        PMID: 18242909     DOI: 10.1016/j.ejrad.2007.12.005

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


  46 in total

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Authors:  Marco Ravanelli; Giorgio Maria Agazzi; Elena Tononcelli; Elisa Roca; Paolo Cabassa; Gianluca Baiocchi; Alfredo Berruti; Roberto Maroldi; Davide Farina
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3.  Computer-assisted diagnosis of tuberculosis: a first order statistical approach to chest radiograph.

Authors:  Jen Hong Tan; U Rajendra Acharya; Collin Tan; K Thomas Abraham; Choo Min Lim
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4.  Feasibility of computed tomography texture analysis of hepatic fibrosis using dual-energy spectral detector computed tomography.

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5.  Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.

Authors:  J Lee; R Jain; K Khalil; B Griffith; R Bosca; G Rao; A Rao
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8.  PET/MRI Radiomics in Rectal Cancer: a Pilot Study on the Correlation Between PET- and MRI-Derived Image Features with a Clinical Interpretation.

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9.  Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage.

Authors:  Balaji Ganeshan; Sandra Abaleke; Rupert C D Young; Christopher R Chatwin; Kenneth A Miles
Journal:  Cancer Imaging       Date:  2010-07-06       Impact factor: 3.909

Review 10.  Non-invasive diagnostic imaging of colorectal liver metastases.

Authors:  Pier Paolo Mainenti; Federica Romano; Laura Pizzuti; Sabrina Segreto; Giovanni Storto; Lorenzo Mannelli; Massimo Imbriaco; Luigi Camera; Simone Maurea
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