Classification of breast lesions based on a dual S-shaped logistic model in dynamic contrast enhanced magnetic resonance imaging

Science China Life Sciences

Volumn 54, Issue 10, 2011, Pages 889-896

  Dang, Yi ^a   Guo, Li ^b   Lv, Dong Jiao ^a   Wang, Xiao Ying ^a,b   Zhang, Jue ^a  

^a PEKING UNIVERSITY   (China)

^b PEKING UNIVERSITY FIRST HOSPITAL   (China)

Author keywords

breast cancer; dynamic contrast enhanced magnetic resonance imaging; logistic model

Indexed keywords

CONTRAST MEDIUM;

ADULT; AGED; ARTICLE; BREAST TUMOR; FEMALE; HUMAN; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ADULT; AGED; BREAST NEOPLASMS; CONTRAST MEDIA; FEMALE; HUMANS; LOGISTIC MODELS; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; SENSITIVITY AND SPECIFICITY;

EID: 80155177810     PISSN: 16747305     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11427-011-4221-7     Document Type: Article

References (39)

1. American Cancer Society. Cancer Facts & Figures, 2009. Atlanta: American Cancer Society, Inc., 2009. 9-11.
2. American Cancer Society. Breast Cancer Facts & Figures 2009-2010. Atlanta: American Cancer Society, Inc., 2009. 2-8.
3. Kneeshaw P J, Lowry M, Manton D, et al. Differentiation of benign from malignant breast disease associated with screening detected microcalcifications using dynamic contrast-enhanced magnetic resonance imaging. Breast, 2006, 15: 29-38.
4. Bazzocchi M, Zuiani C, Painizza P, et al. Contrast-enhanced breast MRI in patients with suspicious microcalcifications on mammography: results of a multi-centre trial. AJR Am J Roentgenol, 2006, 186: 1723-1732.
5. Hata T, Takahashi H, Watanabe K, et al. Magnetic resonance imaging for preoperative evaluation of breast cancer: a comparative study with mammography and ultrasound. J Am Coll Surg, 2004, 198: 190-197.
6. Pickles M D, Lowry M, Manton D J, et al. Role of dynamic contrast-enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy. Breast Cancer Res Treat, 2005, 91: 1-10.
7. Wasser K, Klein S K, Fink C, et al. Evaluation of neoadjuvant chemotherapeutic response of breast cancer using dynamic MRI with high temporal resolution. Eur Radiol, 2003, 13: 80-87.
8. Padhani A R, Hayes C, Assersohn L, et al. Prediction of clinicopathological response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results. Radiology, 2006, 239: 361-374.
9. Fischer U, von Heyden D, Vosshenrich R, et al. Signal characteristics of benign and malignant breast lesions in dynamic 2D-MRT of the breast. Fortschritte auf dem Gebiete der Rontgenstrahlen und der Neuen Bildgebenden Verfahren, 1993, 158: 287-292.
10. Gibbs P, Liney G P, Lowry M, et al. Differentiation of benign and malignant sub-1cm breast lesions using dynamic contrast-enhanced MRI. Breast, 2004, 13: 115-121.
11. Goto M, Ito H, Akazawa K, et al. Diagnosis of breast tumors by contrast-enhanced MR imaging: comparison between the diagnostic performance of dynamic enhancement patterns and morphological features. J Magn Reson Imaging, 2007, 25: 104-112.
12. Kelcz F, Santyr G E, Cron G O, et al. Application of a quantitative model to differentiate benign from malignant breast lesions detected by dynamic contrast-enhanced MRI. J Magn Reson Imaging, 1996, 6: 743-752.
13. Tofts P S, Kermode A G. Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. Magn Reson Med, 1991, 17: 357-367.
14. Tofts P S, Brix G, Buckley D L, 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.
15. Hassid Y, Furman-Haran E, Margalit R, et al. Noninvasive magnetic resonance imaging of transport and interstitial fluid pressure in ectopic human lung tumors. Cancer Res, 2006, 66: 4159-4166.
16. Reed R K, Rubin K. Transcapillary exchange: role and importance of the interstitial fluid pressure and the extracellular matrix. Cardiovasc Res, 2010, 87: 211-217.
17. Abdullah N, Mesurolle B, El-Khoury M, et al. Breast imaging reporting and data system lexicon for US: interobserver agreement for assessment of breast masses. Radiology, 2009, 252: 665-672.
18. Kuhl C K, Mielcareck P, Klaschik S, et al. Dynamic breast MR im aging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? Radiology, 1999, 211: 101-110.
19. Szabo B K, Aspelin P, Wiberg M K, et al. Dynamic MR imaging of the breast. Analysis of kinetic and morphologic diagnostic criteria. Acta Radiol, 2003, 44: 379-386.
20. Jansen S A, Fan X, Karczmar G S, et al. Differentiation between benign and malignant breast lesions detected by bilateral dynamic contrast-enhanced MRI: a sensitivity and specificity study. Magn Reson Med, 2008, 59: 747-754.
21. Heiberg E V, Perman W H, Herrmann V M, et al. Dynamic sequential 3D gadolinium-enhanced MRI of the whole breast. Magn Reson Imaging, 1996, 14: 337-348.
22. Moate P J, Dougherty L, Schnall M D, et al. A modified logistic model to describe gadolinium kinetics in breast tumors. Magn Reson Imaging, 2004, 22: 467-473.
23. Lagarias J C, Reeds J A, Wright M H, et al. Convergence properties of the nelder-mead simplex method in low dimensions. SIAM J Optimiz, 1998, 9: 112-147.
24. Knopp M V, Weiss E, Sinn H P, et al. Pathophysiologic basis of contrast enhancement in breast tumors. J Magn Reson Imaging, 1999, 10: 260-266.
25. Kinkel K, Hylton N M. Challenges to interpretation of breast MRI. J Magn Reson Imaging, 2001, 13: 821-829.
26. Bone B, Wiberg M K, Parrado C, et al. Mechanism of contrast enhancement in breast lesions at MR imaging. Acta Radiologica, 1998, 39: 494-500.
27. Buckley D L, Drew P J, Mussurakis S, et al. Microvessel density in invasive breast cancer assessed by dynamic Gd-DTPA enhanced MRI. J Magn Reson Imaging, 1997, 7: 461-464.
28. Padhani A R. Dynamic contrast-enhanced MRI studies in human tumours. Br J Radiol, 1999, 72: 427-431.
29. Parker G J, Suckling J, Tanner S F, et al. Probing tumor microvascularity by measurement, analysis and display of contrast agent uptake kinetics. J Magn Reson Imaging, 1997, 7: 564-574.
30. Roberts H C, Roberts T P, Brasch R C, et al. Quantitative measurement of microvascular permeability in human brain tumors achieved using dynamic contrast-enhanced MR imaging: correlation with histologic grade. AJNR Am J Neuroradiol, 2000, 21: 891-899.
31. Donahue K M, Weisskoff R M, Burstein D. Water diffusion and exchange as they influence contrast enhancement. J Magn Reson Imaging, 1997, 7: 102-110.
32. Larsson H B, Rosenbaum S, Fritz-Hansen T. Quantification of the effect of water exchange in dynamic contrast MRI perfusion measurements in the brain and heart. Magn Reson Med, 2001, 46: 272-281.
33. Buckley D L. Letter to the editor: transcytolemal water exchange and its effect on the determination of contrast agent concentration in vivo. Magn Reson Med, 2002, 47: 420-421.
34. Calamante F, Morup M, Hansen L K. Defining a local arterial input function for perfusion MRI using independent component analysis. Magn Reson Med, 2004, 52: 789-797.
35. Wang H N, Cui Y M, He H. A logistic model for magnetic energy storage in solar active regions. Res Astron Astrophys, 2009, 9: 687-693.
36. Peleg M, Corradini M G, Normand M D. The logistic (Verhulst) model for sigmoid microbial growth curves revisited. Food Res Int, 2007, 40: 808-818.
37. Sakuma Y, Okamoto N. A logistic regression predictive model and the outcome of patients with resected lung adenocarcinoma of 2 cm or less in size. Lung Cancer, 2009, 65: 85-90.
38. Mussarakis S, Buckley D L, Horsman A. Dynamic MRI of invasive breast cancer: assessment of three region-of-interest analysis methods. J Comput Assist Tomogr, 1997, 21: 431-438.
39. Gribbestad I S, Nilsen G, Fjosne H E, et al. Comparative signal intensity measurements in dynamic gadolinium-enhanced MR mammography. J Magn Reson Imaging, 1994, 4: 477-480.