Classification of breast mass lesions using model-based analysis of the characteristic kinetic curve derived from fuzzy c-means clustering

Magnetic Resonance Imaging

Volumn 30, Issue 3, 2012, Pages 312-322

  Chang, Yeun Chung ^a   Huang, Yan Hao ^b   Huang, Chiun Sheng ^a   Chang, Pei Kang ^b   Chen, Jeon Hor ^c,d,e   Chang, Ruey Feng ^b  

^a NATIONAL TAIWAN UNIVERSITY HOSPITAL   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c CHINA MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^d CHINA MEDICAL UNIVERSITY   (Taiwan)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

AUC; Breast; Color map; DCE MRI; Kinetic; Pharmacokinetic

Indexed keywords

ADULT; AGED; ANALYTICAL PARAMETERS; ARTICLE; BREAST CANCER; BREAST TUMOR; CHARACTERISTIC KINETIC CURVE; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CONTRAST ENHANCEMENT; CONTROLLED STUDY; CONVENTIONAL CURVE ANALYSIS; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; FUZZY SYSTEM; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE DISPLAY; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SOLID TUMOR; STATISTICAL MODEL; STUDENT T TEST; TUMOR CLASSIFICATION;

ALGORITHMS; AREA UNDER CURVE; BREAST NEOPLASMS; CLUSTER ANALYSIS; CONTRAST MEDIA; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FUZZY LOGIC; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE OF TESTS; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84862820104     PISSN: 0730725X     EISSN: 18735894     Source Type: Journal    
DOI: 10.1016/j.mri.2011.12.002     Document Type: Article

References (28)

1. Kuhl C.K., Schrading S., Bieling H.B., Wardelmann E., Leutner C.C., Koenig R., et al. MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study. Lancet 2007, 370:485-492.
2. Warner E., Plewes D.B., Shumak R.S., Catzavelos G.C., Di Prospero L.S., Yaffe M.J., et al. Comparison of breast magnetic resonance imaging, mammography, and ultrasound for surveillance of women at high risk for hereditary breast cancer. J Clin Oncol 2001, 19:3524-3531.
3. Kuhl C.K., Mielcareck P., Klaschik S., Leutner C., Wardelmann E., Gieseke J., et al. Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?. Radiology 1999, 211:101-110.
4. Liu P.F., Debatin J.F., Caduff R.F., Kacl G., Garzoli E., Krestin G.P. Improved diagnostic accuracy in dynamic contrast enhanced MRI of the breast by combined quantitative and qualitative analysis. Br J Radiol 1998, 71:501-509.
5. Nunes L.W., Schnall M.D., Orel S.G. Update of breast MR imaging architectural interpretation model. Radiology 2001, 219:484-494.
6. Williams T.C., DeMartini W.B., Partridge S.C., Peacock S., Lehman C.D., Breast M.R. imaging: computer-aided evaluation program for discriminating benign from malignant lesions. Radiology 2007, 244:94-103.
7. Chen W., Giger M.L., Bick U., Newstead G.M. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Med Phys 2006, 33:2878-2887.
8. Chen W., Giger M.L., Lan L., Bick U. Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics. Med Phys 2004, 31:1076-1082.
9. Hayton P., Brady M., Tarassenko L., Moore N. Analysis of dynamic MR breast images using a model of contrast enhancement. Med Image Anal 1997, 1:207-224.
10. Orel S.G., Schnall M.D., LiVolsi V.A., Troupin R.H. Suspicious breast lesions: MR imaging with radiologic-pathologic correlation. Radiology 1994, 190:485-493.
11. Tofts P.S. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. Jmri-J Magn Reson Imaging 1997, 7:91-101.
12. Tofts P.S., Brix G., Buckley D.L., Evelhoch J.L., Henderson E., Knopp M., et al. Estimating kinetic parameters from dynamic contrast-enhanced T-1-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999, 10:223-232.
13. Walker-Samuel S., Leach M.O., Collins D.J. Evaluation of response to treatment using DCE-MRI: the relationship between initial area under the gadolinium curve (IAUGC) and quantitative pharmacokinetic analysis. Phys Med Biol 2006, 51:3593-3602.
14. Wiener J.I., Schilling K.J., Adami C., Obuchowski N.A. Assessment of suspected breast cancer by MRI: a prospective clinical trial using a combined kinetic and morphologic analysis. AJR Am J Roentgen 2005, 184:878-886.
15. Pham D.L., Prince J.L. An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recogn Lett 1999, 20:57-68.
16. Leach M.O., Brindle K.M., Evelhoch J.L., Griffiths J.R., Horsman M.R., Jackson A., et al. The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations. Brit J Cancer 2005, 92:1599-1610.
17. Furman-Haran E., Schechtman E., Kelcz F., Kirshenbaum K., Degani H. Magnetic resonance imaging reveals functional diversity of the vasculature in benign and malignant breast lesions. Cancer 2005, 104:708-718.
18. Galbraith S.M., Lodge M.A., Taylor N.J., Rustin G.J.S., Bentzen S., Stirling J.J., et al. Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis. NMR Biomed 2002, 15:132-142.
19. Hojjatoleslami SA, Kittler J Region growing: a new approach. IEEE Trans Image Process 1998, 7:1079-1084.
20. Marquardt D.W. An algorithm for least-squares estimation of nonlinear parameters. J Soc Ind Appl Math 1963, 11:431-441.
21. Field A.P. Discovering statistics using SPSS 2009, 821. SAGE Publications, Los Angeles.
22. Xiao Y., Hua J., Dougherty E.R. Quantification of the impact of feature selection on the variance of cross-validation error estimation. EURASIP J Bioinform Syst Biol 2007, 16354.
23. Tofts P.S., Brix G., Buckley D.L., Evelhoch J.L., Henderson E., Knopp M.V., et al. Estimating kinetic parameters from dynamic contrast-enhanced T1-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999, 10:223-232.
24. Turnbull L.W. Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer. NMR Biomed 2009, 22:28-39.
25. Chang Y.C., Huang C.S., Liu Y.J., Chen J.H., Lu Y.S., Tseng W.Y. Angiogenic response of locally advanced breast cancer to neoadjuvant chemotherapy evaluated with parametric histogram from dynamic contrast-enhanced MRI. Phys Med Biol 2004, 49:3593-3602.
26. Li J., Yu Y., Zhang Y., Bao S., Wu C., Wang X., et al. A clinically feasible method to estimate pharmacokinetic parameters in breast cancer. Med Phys 2009, 36:3786-3794.
27. Bhooshan N., Giger M.L., Jansen S.A., Li H., Lan L., Newstead G.M. Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology 2010, 254:680-690.
28. Wang L.C., DeMartini W.B., Partridge S.C., Peacock S., Lehman C.D. MRI-detected suspicious breast lesions: predictive values of kinetic features measured by computer-aided evaluation. AJR Am J Roentgenol 2009, 193:826-831.