Literature DB >> 19190914

Assessment of the spatial pattern of colorectal tumour perfusion estimated at perfusion CT using two-dimensional fractal analysis.

Vicky Goh1, Bal Sanghera, David M Wellsted, Josefin Sundin, Steve Halligan.   

Abstract

The aim was to evaluate the feasibility of fractal analysis for assessing the spatial pattern of colorectal tumour perfusion at dynamic contrast-enhanced CT (perfusion CT). Twenty patients with colorectal adenocarcinoma underwent a 65-s perfusion CT study from which a perfusion parametric map was generated using validated commercial software. The tumour was identified by an experienced radiologist, segmented via thresholding and fractal analysis applied using in-house software: fractal dimension, abundance and lacunarity were assessed for the entire outlined tumour and for selected representative areas within the tumour of low and high perfusion. Comparison was made with ten patients with normal colons, processed in a similar manner, using two-way mixed analysis of variance with statistical significance at the 5% level. Fractal values were higher in cancer than normal colon (p < or = 0.001): mean (SD) 1.71 (0.07) versus 1.61 (0.07) for fractal dimension and 7.82 (0.62) and 6.89 (0.47) for fractal abundance. Fractal values were lower in 'high' than 'low' perfusion areas. Lacunarity curves were shifted to the right for cancer compared with normal colon. In conclusion, colorectal cancer mapped by perfusion CT demonstrates fractal properties. Fractal analysis is feasible, potentially providing a quantitative measure of the spatial pattern of tumour perfusion.

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Year:  2009        PMID: 19190914     DOI: 10.1007/s00330-009-1304-y

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  32 in total

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2.  Correlation between initial and early follow-up CT perfusion parameters with endoscopic tumor response in patients with advanced squamous cell carcinomas of the oropharynx treated with organ-preservation therapy.

Authors:  D Gandhi; D B Chepeha; T Miller; R C Carlos; C R Bradford; R Karamchandani; F Worden; A Eisbruch; T N Teknos; G T Wolf; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

3.  Lacunarity analysis of spatial pattern in CT images of vertebral trabecular bone for assessing osteoporosis.

Authors:  Geoffrey Dougherty; Geoffrey M Henebry
Journal:  Med Eng Phys       Date:  2002-03       Impact factor: 2.242

4.  Assessing tumor perfusion and treatment response in rectal cancer with multisection CT: initial observations.

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Journal:  Eur Radiol       Date:  2008-04-30       Impact factor: 5.315

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Authors:  S Bisdas; M Baghi; J Wagenblast; R Knecht; C H Thng; T S Koh; T J Vogl
Journal:  Eur J Radiol       Date:  2007-03-30       Impact factor: 3.528

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9.  Direct evidence that the VEGF-specific antibody bevacizumab has antivascular effects in human rectal cancer.

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Journal:  Nat Med       Date:  2004-01-25       Impact factor: 53.440

10.  CT perfusion for the monitoring of neoadjuvant chemotherapy and radiation therapy in rectal carcinoma: initial experience.

Authors:  Massimo Bellomi; Giuseppe Petralia; Angelica Sonzogni; Maria Giulia Zampino; Andrea Rocca
Journal:  Radiology       Date:  2007-08       Impact factor: 11.105

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  26 in total

1.  Radiomics: a new application from established techniques.

Authors:  Vishwa Parekh; Michael A Jacobs
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2.  Letter to the editor re: Assessment of the spatial pattern of colorectal tumour perfusion estimated at perfusion CT using two-dimensional fractal analysis.

Authors:  Hsu-Hsia Peng; Cheng-Wen Ko
Journal:  Eur Radiol       Date:  2009-07-17       Impact factor: 5.315

3.  Fractal analysis of contrast-enhanced CT images to predict survival of patients with hepatocellular carcinoma treated with sunitinib.

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4.  The precision of textural analysis in (18)F-FDG-PET scans of oesophageal cancer.

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5.  Fractal dimension analysis of MDCT images for quantifying the morphological changes of the pulmonary artery tree in patients with pulmonary hypertension.

Authors:  Sun Haitao; Li Ning; Guo Lijun; Gao Fei; Liu Cheng
Journal:  Korean J Radiol       Date:  2011-04-25       Impact factor: 3.500

6.  Radiochemotherapy-induced changes of tumour vascularity and blood supply estimated by dynamic contrast-enhanced CT and fractal analysis in malignant head and neck tumours.

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Journal:  Br J Radiol       Date:  2015-01       Impact factor: 3.039

Review 7.  Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis.

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Review 8.  CT perfusion in oncology: how to do it.

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9.  The emerging field of radiomics in esophageal cancer: current evidence and future potential.

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Review 10.  Fractal analysis in radiological and nuclear medicine perfusion imaging: a systematic review.

Authors:  Florian Michallek; Marc Dewey
Journal:  Eur Radiol       Date:  2013-08-23       Impact factor: 5.315

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