Reproducibility of 2D and 3D fractal analysis techniques for the assessment of spatial heterogeneity of regional blood flow in rectal cancer

Radiology

Volumn 263, Issue 3, 2012, Pages 865-873

  Sanghera, Bal ^a   Banerjee, Debasish ^a   Khan, Aftab ^a   Simcock, Ian ^a   Stirling, J James ^a   Glynne Jones, Rob ^a   Goh, Vicky ^a,b  

^a MOUNT VERNON HOSPITAL   (United Kingdom)

^b ST THOMAS HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CANCER STAGING; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEMALE; FLOW MEASUREMENT; FRACTAL ABUNDANCE; FRACTAL ANALYSIS; FRACTAL DIMENSION; HUMAN; IMAGE ANALYSIS; IMAGING AND DISPLAY; MALE; PRIORITY JOURNAL; RECTUM CARCINOMA; REPRODUCIBILITY; THREE DIMENSIONAL IMAGING; TUMOR BLOOD FLOW; TWO DIMENSIONAL IMAGING; VOLUMETRIC HELICAL PERFUSION COMPUTED TOMOGRAPHY;

ADENOCARCINOMA; AGED; CONTRAST MEDIA; FEMALE; FRACTALS; HUMANS; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; PROSPECTIVE STUDIES; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RECTAL NEOPLASMS; REGIONAL BLOOD FLOW; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, SPIRAL COMPUTED; TRIIODOBENZOIC ACIDS;

EID: 84862487835     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.12111316     Document Type: Article

References (19)

1. O'Connor JP, Rose CJ, Jackson A, et al. DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6. Br J Cancer 2011;105(1):139-145.
2. Alic L, van Vliet M, van Dijke CF, Eggermont AM, Veenland JF, Niessen WJ. Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response? Phys Med Biol 2011;56(6):1601-1616.
3. Rose CJ, Mills SJ, O'Connor JP, et al. Quantifying spatial heterogeneity in dynamic contrast-enhanced MRI parameter maps. Magn Reson Med 2009;62(2):488-499.
4. Craciunescu OI, Das SK, Clegg ST. Dynamic contrast-enhanced MRI and fractal characteristics of percolation clusters in two-dimensional tumor blood perfusion. J Biomech Eng 1999;121(5):480-486. (Pubitemid 29503176)
5. Goh V, Sanghera B, Wellsted DM, Sundin J, Halligan S. Assessment of the spatial pattern of colorectal tumour perfusion estimated at perfusion CT using two-dimensional fractal analysis. Eur Radiol 2009;19(6):1358-1365.
6. Lind JS, Meijerink MR, Dingemans AM, et al. Dynamic contrast-enhanced CT in patients treated with sorafenib and erlotinib for non-small cell lung cancer: a new method of monitoring treatment? Eur Radiol 2010;20(12):2890-2898.
7. Fournier LS, Oudard S, Thiam R, et al. Metastatic renal carcinoma: evaluation of antiangiogenic therapy with dynamic contrast-enhanced CT. Radiology 2010;256(2):511-518.
8. Smith TG Jr, Lange GD, Marks WB. Fractal methods and results in cellular morphology: dimensions, lacunarity and multifractals. J Neurosci Methods 1996;69(2):123-136. (Pubitemid 26377770)
9. Plotnick RE, Gardner RH, Hargrove WW, et al. Lacunarity analysis: a general technique for the analysis of spatial patterns. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1996;53(5):5461-5468. (Pubitemid 126598823)
10. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1(8476):307-310. (Pubitemid 16134762)
11. Kiessling F, Boese J, Corvinus C, et al. Perfusion CT in patients with advanced bronchial carcinomas: a novel chance for characterization and treatment monitoring? Eur Radiol 2004;14(7):1226-1233. (Pubitemid 38979216)
12. Eberhard A, Kahlert S, Goede V, Hemmerlein B, Plate KH, Augustin HG. Heterogeneity of angiogenesis and blood vessel maturation in human tumors: implications for antiangiogenic tumor therapies. Cancer Res 2000;60(5):1388- 1393. (Pubitemid 30152012)
13. Vaupel P, Mayer A. Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev 2007;26(2):225-239. (Pubitemid 47101660)
14. Gazit Y, Baish JW, Safabakhsh N, Leunig M, Baxter LT, Jain RK. Fractal characteristics of tumor vascular architecture during tumor growth and regression. Microcirculation 1997;4(4):395-402. (Pubitemid 127675113)
15. Veenland JF, Grashius JL, van der Meer F, Beckers AL, Gelsema ES. Estimation of fractal dimension in radiographs. Med Phys 1996;23(4):585-594. (Pubitemid 26120160)
16. Kido S, Kuriyama K, Higashiyama M, Kasugai T, Kuroda C. Fractal analysis of internal and peripheral textures of small peripheral bronchogenic carcinomas in thinsection computed tomography: comparison of bronchioloalveolar cell carcinomas with nonbronchioloalveolar cell carcinomas. J Comput Assist Tomogr 2003;27(1):56-61. (Pubitemid 36139752)
17. Kido S, Kuriyama K, Higashiyama M, Kasugai T, Kuroda C. Fractal analysis of small peripheral pulmonary nodules in thin-section CT: evaluation of the lung-nodule interfaces. J Comput Assist Tomogr 2002;26(4):573-578.
18. Dougherty G, Henebry GM. Lacunarity analysis of spatial pattern in CT images of vertebral trabecular bone for assessing osteoporosis. Med Eng Phys 2002;24(2):129-138. (Pubitemid 34214775)
19. Lopes R, Betrouni N. Fractal and multifractal analysis: a review. Med Image Anal 2009;13(4):634-649.