Computerized characterization of prostate cancer by fractal analysis in MR images

Journal of Magnetic Resonance Imaging

Volumn 30, Issue 1, 2009, Pages 161-168

  Lv, Dongjiao ^a   Guo, Xuemei ^a,b   Wang, Xiaoying ^a,b,c   Zhang, Jue ^a   Fang, Jing ^a  

^a PEKING UNIVERSITY   (China)

^b PEKING UNIVERSITY FIRST HOSPITAL   (China)

^c NONE   (China)

Author keywords

Fractal analysis; Magnetic resonance imaging; Prostate cancer; T2 weighted image

Indexed keywords

ADULT; AGED; ARTICLE; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER PATIENT; CONTROLLED STUDY; DIFFERENTIAL DIAGNOSIS; FRACTAL ANALYSIS; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROSTATE BIOPSY; PROSTATE CANCER; PROSTATE CARCINOMA; TISSUE DISTRIBUTION;

AGED; DIAGNOSIS, DIFFERENTIAL; FRACTALS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PROSTATE; PROSTATIC NEOPLASMS; RETROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 67650075017     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.21819     Document Type: Article

References (40)

1. Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin 2005;55:74-108.
2. McNeal JE, Redwine EA, Freiha FS, Stamey TA. Zonal distribution of prostatic adenocarcinoma: correlation with histologic pattern and direction of spread. Am J Surg Pathol 1988;12:897-906. (Pubitemid 19011040)
3. Stamey TA, Donaldson AN, Yemoto CE, Mcneal JE, Sosen S, Gill H. Histological and clinical findings in 896 consecutive prostates treated only with radical retropubic prostatectomy: epidemiologic significance of annual changes. J Urol 1998;160:2412-2417. (Pubitemid 29483052)
4. Coakley FV, Qayyum A, Kurhanewicz J. Magnetic resonance imaging and spectroscopic imaging of prostate cancer. J Urol 2003;170:69-75. (Pubitemid 37413946)
5. Wang L, Mullerad M, Chen HN, et al. Prostate cancer: incremental value of endorectal MR imaging findings for prediction of extracapsular extension. Radiology 2004;232:133-139. (Pubitemid 38787828)
6. Engelbrecht MR, Jager GJ, Laheij RJ, Verbeek AL, van Lier H, Barentsz JO. Local staging of prostate cancer using magnetic resonance imaging: a meta-analysis. Eur Radiol 2002;12:2294-2302. (Pubitemid 36940327)
7. Carrol CL, Sommer FG, McNeal JE, Stamey TA. The abnormal prostate: MR imaging at 1.5T with histopathologic Correlation. Radiology 1987;163:521-525. (Pubitemid 17068938)
8. Epstein JI. Diagnosis and reporting of limited adenocarcinoma of the prostate on needle biopsy. Modern Pathol 2004;17:307-315. (Pubitemid 41646609)
9. Quint LE, Van Erp JS, Bland PH, et al. Prostate cancer: correlation of MR images with tissue optical density of pathologic examination. Radiology 1991;179:837-842.
10. Madabhushi A, Feldman MD, Metaxas DN, Tomaszeweski J, Chute D. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. IEEE Trans Med Imag 2005;24:1611-1625.
11. Mandelbrot BB. The fractal geometry of nature. San Francisco, CA: Freeman; 1982.
12. Wilkie JR, Giger ML, Engh CA Sr, Hopper RH Jr, Martell JM. Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis. Acad Radiol 2008;15:176-185.
13. Li H, Giger ML, Olopade OI, Lan L. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol 2007;14:513-521. (Pubitemid 46551761)
14. Tourassi GD, Delong DM Floyd CE Jr. A study on the computerized fractal analysis of architectural distortion in screening mammograms. Phys Med Biol 2006;51:1299-1312. (Pubitemid 43267196)
15. Kim KG, Cho SW, Min SJ, Kim JH, Min BG, Bae KT. Computerized scheme for assessing ultrasonographic features of breast masses. Acad Radiol 2005;12:58-66. (Pubitemid 40187288)
16. Kido S, Kuroda C, Tamura S. Quantification of interstitial lung abnormalities with chest radiography: comparison of radiographic index and fractal dimension. Acad Radiol 1998;5:336-343. (Pubitemid 28227951)
17. Imai K, Ikeda M, Enchi Y, Niimi T. Fractal-feature distance analysis of radiographic image. Acad Radiol 2007;14:137-143. (Pubitemid 46108603)
18. Xu Y, van Beek EJR, Hwanjo Y, Guo J, McLennan G, Hoffman EA. Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM). Acad Radiol 2006;13:969-976. (Pubitemid 44056026)
19. Zhuang XD, Meng QC. Local fuzzy fractal dimension and its application in medical image processing. Artif Intell Med 2004;32:29-36. (Pubitemid 39180001)
20. Chen CC, Daponte JS, Fox MD. Fractal feature analysis and classification in medical imaging. IEEE Trans Med Imaging 1989;8:133-142.
21. Fortin C, Knmaresan R, Ohley W. Fractal dimension in the analysis of medical images. IEEE Eng Med Biol 1992;11:65-71.
22. Madabhushi A, Udupa JK. Interplay of intensity standardization and inhomogeneity correction in MR image analysis. IEEE Trans Med Imaging 2005;24:561-576.
23. Stark B, Adams M, Hathaway DH, Hagyard MJ. Evaluation of two fractal methods for magnetogram image analysis. Solar Phys 1997;174:297-309. (Pubitemid 127132772)
24. Baish JW, Jain RK. Fractals and cancer. Cancer Res 2000;60:3683-3688.
25. Metz CE. ROC methodology in radiologic imaging. Invest Radiol 1986;21:720-733.
26. Metz CE. Some practical issues of experimental design and data analysis in radiological ROC studies. Invest Radiol 1989;24:234-245. (Pubitemid 19084791)
27. Bezdek JC, Hall JO, Clarke LP. Review of MR image segmentation techniques using pattern recognition. Med Phys 1993;20:1033-1048. (Pubitemid 23249849)
28. Pham DL, Xu C, Prince JL. Current methods in medical image segmentation. Annu Rev Biomed Eng 2000;2:315-338.
29. Kamber M, Shingal R, Collins DL, Francis S, Evans AC. Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images. IEEE Trans Med Imaging 1995;14:442-453.
30. Johnston B, Atkins MS, Mackiewich B, Anderson M. Segmentation of multiple sclerosis lesions in intensity corrected multi-spectral MRI. IEEE Trans Med Imaging 1996;15:154-169. (Pubitemid 126780308)
31. Udupa JK, Wei L, Samarasekera S, Miki Y, Van Buchem MA, Grossman R. Multiple sclerosis lesion quantification using fuzzy-connectedness principles. IEEE Trans Med Imaging 1997;16:598- 609. 32. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001;20:45-57. (Pubitemid 127767638)
32. Shen D, Herskovits EH, Davatzikos C. An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures. IEEE Trans Med Imaging 2001;20:257-270. (Pubitemid 32536135)
33. Byar DP, Mostofi FK. Carcinoma of the prostate: prognostic evaluation of certain pathologic features in 208 radical prostatectomies. Cancer 1972;30:5-13.
34. D'Amico AV, Schnall M, Whittington R, et al. Endorectal coil magnetic resonance imaging identifies locally advanced prostate cancer in select patients with clinically localized prostate cancer. Urology 1998;51:449-454. (Pubitemid 28136684)
35. Hricak H, White S, Wigneron D, et al. Carcinoma of the prostate gland: MR imaging with pelvic phased-array coil versus intergrated endorectal-pelvic phased-array coils. Radiology 1994;193:703-709. (Pubitemid 24366938)
36. Reinsberg SA, Payne GS, Riches SF, et al. Combined use of diffusion- weighted MRI and 1H MR spectroscopy to increase accuracy in prostate cancer detection. AJR Am J Roentgenol 2007;188:91-98. (Pubitemid 46012494)
37. Bostwick DG. Gleason grading of prostatic needle biopsies: correlation with grade in 316 matched prostatectomies. Am J Surg Pathol 1994;18:796-803. (Pubitemid 24229402)
38. Spires SE, Clbull ML, Wood DP Jr. Gleason histologic grading in prostatic carcimoma: Correlation of 18 gauge core biopsy with prostatectomy. Arch Pathol Lab Med 1994;118:705-708. (Pubitemid 24217599)
39. Steinberg DM, Sauvageot J, Piantadosi S, Epstein JI. Correlation of prostate needle biopsy and radical prostatectomy Gleason grade in academic and community settings. Am J Surg Pathol 1997;21:566-576. (Pubitemid 27213072)
40. Tomaskovic I, Bulimbasic S, Custovic Z, Reljic A, Kruslin B, Kraus O. Correlation of Gleason grade in preoperative prostate biopsy and prostatectomy specimens. Acta Clin Croat 2003;42:225-227. (Pubitemid 38004803)