Computer-aided diagnosis in breast magnetic resonance imaging

Mount Sinai Journal of Medicine

Volumn 78, Issue 2, 2011, Pages 280-290

  Muralidhar, Gautam S ^a   Bovik, Alan C ^a   Sampat, Mehul P ^b   Whitman, Gary J ^c   Haygood, Tamara Miner ^c   Stephens, Tanya W ^c   Markey, Mia K ^a,c  

^a The University of Texas at Austin   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

breast imaging; breast magnetic resonance imaging; clinical decision support systems; computer aided diagnosis

Indexed keywords

ARTICLE; BREAST CANCER; BREAST MAGNETIC RESONANCE IMAGING; CANCER DIAGNOSIS; CANCER SCREENING; CLINICAL EFFECTIVENESS; COMPUTER ASSISTED DIAGNOSIS; CONTRAST ENHANCEMENT; DIAGNOSTIC IMAGING; HUMAN; MAMMOGRAPHY; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY ANALYSIS;

BREAST; BREAST NEOPLASMS; DECISION SUPPORT SYSTEMS, CLINICAL; DIAGNOSIS, COMPUTER-ASSISTED; EARLY DETECTION OF CANCER; FEMALE; FORECASTING; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 79952999946     PISSN: 00272507     EISSN: 19317581     Source Type: Journal    
DOI: 10.1002/msj.20248     Document Type: Article

References (44)

1. Pisano ED, Gatsonis C, Hendrick E, et al,. Diagnostic performance of digital versus film mammography for breast-cancer screening. New Engl J Med 2005; 353: 1773-1883.
2. Skaane P., Studies comparing screen-film mammography and full-field digital mammography in breast cancer screening: updated review. Acta Radiol 2009; 50: 3-14.
3. Karssemeijer N, Bluekens AM, Beijerinck D, et al,. Breast cancer screening results 5 years after introduction of digital mammography in a population based screening program. Radiology 2009; 253: 353-358.
4. Vinnicombe S, Pinto Pereira SM, McCormack VA, et al,. Full-field digital versus screen film mammography: comparison within the UK breast screening program and systematic review of published data. Radiology 2009; 251: 347-358.
5. Kopans DB., Breast ultrasound. In: Breast Imaging. 3rd ed. Philadelphia, PA: Lippincott, Williams & Wilkins; 2006 555-606.
6. Lehman CD, Smith RA., The role of MRI in breast cancer screening [published correction appears in J Natl Compr Canc Netw 2010;8:xxi]. J Natl Compr Canc Netw 2009; 7: 1109-1115.
7. Prince JL, Links JM., Physics of magnetic resonance. In: Medical Imaging Signals and Systems. Upper Saddle River, NJ: Pearson/Prentice Hall; 2006 381-403.
8. Wu Q, Markey MK., Computer-aided diagnosis of breast cancer on MR imaging. In:, Suri JS, Rangayyan RM, eds. Recent Advances in Breast Imaging, Mammography, and Computer-Aided Diagnosis of Breast Cancer. Bellingham, WA: SPIE, the International Society for Optical Engineering; 2006 739-762.
9. Hendrick RE., Breast magnetic resonance imaging acquisition protocols. In: Breast MRI: Fundamentals and Technical Aspects. New York, NY: Springer; 2008 135-168.
10. Kuhl CK, Jost P, Morakkabati N, et al,. Contrast-enhanced MR imaging of the breast at 3.0 and 1.5 T in the same patients: initial experience. Radiology 2006; 239: 666-676. (Pubitemid 43830601)
11. Bolan PJ, Nelson MT, Yee D, et al,. Imaging in breast cancer: magnetic resonance spectroscopy. Breast Cancer Res 2005; 7: 149-152. (Pubitemid 40872777)
12. Kwock L, Smith JK, Castillo M, et al,. Clinical role of proton magnetic resonance spectroscopy in oncology: brain, breast, and prostate cancer. Lancet Oncol 2006; 7: 859-868. (Pubitemid 44464079)
13. Tozaki M., Proton MR spectroscopy of the breast. Breast Cancer 2008; 15: 218-223.
14. Mountford C, Ramadan S, Stanwell P, et al,. Proton MRS of the breast in the clinical setting. NMR Biomed 2009; 22: 54-64.
15. Jagannathan NR, Kumar M, Seenu V, et al,. Evaluation of total choline from in-vivo volume localized proton MR spectroscopy and its response to neoadjuvant chemotherapy in locally advanced breast cancer. Br J Cancer 2001; 84: 1016-1022. (Pubitemid 32448495)
16. Meisamy S, Bolan PJ, Baker EH, et al,. Neoadjuvant chemotherapy of locally advanced breast cancer: predicting response with in vivo (1)H MR spectroscopy-a pilot study at 4 T. Radiology 2004; 233: 424-431. (Pubitemid 39423801)
17. Huang W, Fisher PR, Dulaimy K, et al,. Detection of breast malignancy: diagnostic MR protocol for improved specificity. Radiology 2004; 232: 585-591. (Pubitemid 38971303)
18. Tozaki M, Maruyama K., Current status and future prospects of proton MR spectroscopy of the breast with a 1.5T MR unit. J Oncol 2010; doi:10.1155/2010/781621.
19. Morris EA., Diagnostic breast MR imaging: current status and future directions. Magn Reson Imaging Clin N Am 2010; 18: 57-74.
20. Berg WA, Gutierrez L, NessAiver MS, et al,. Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer. Radiology 2004; 233: 830-849.
21. Kuhl CK, Schrading S, Bieling HB, et al,. MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study. Lancet 2007; 370: 485-492. (Pubitemid 47214635)
22. Sardanelli F., Overview of the role of pre-operative breast MRI in the absence of evidence on patient outcomes. Breast 2010; 19: 3-6.
23. Solin LJ., Counterview: pre-operative breast MRI (magnetic resonance imaging) is not recommended for all patients with newly diagnosed breast cancer. Breast 2010; 19: 7-9.
24. Turnbull L, Brown S, Harvey I, et al,. Comparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial. Lancet 2010; 375: 563-571.
25. McCaffery KJ, Jansen J., Pre-operative MRI for women with newly diagnosed breast cancer: perspectives on clinician and patient decision-making when evidence is uncertain. Breast 2010; 19: 10-12.
26. American College of Radiology. The ACR breast MRI accreditation program. Accessed on December 13, 2010.
27. Agency for Healthcare Research and Quality, Berner ES., Clinical Decision Support Systems: State of the Art. Rockville, MD: AHRQ; June 2009. Publication no. 09-0069-EF.
28. Sampat MP, Markey MK, Bovik AC., Computer-aided detection and diagnosis in mammography. In:, Bovik AC, ed. Handbook of Image and Video Processing. 2nd ed. Burlington, VT: Academic Press; 2005; 1195-1217.
29. Nishikawa RM., Current status and future directions of computer-aided diagnosis in mammography. Comput Med Imaging Graph 2007; 31: 224-235. (Pubitemid 46601782)
30. Muralidhar GS, Haygood TM, Stephens TW, et al,. Computer-aided detection of breast cancer-have all bases been covered? Breast Cancer: Basic and Clinical Research 2008; 5-9.
31. Giger ML, Chan HP, Boone J., Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM. Med Phys 2008; 35: 5799-5820.
32. Hendrick RE., Image post-processing protocols. In: Breast MRI: Fundamentals and Technical Aspects. New York, NY: Springer; 2008; 171-186.
33. Maintz JB, Viergever MA., A survey of medical image registration. Med Image Anal 1998; 2: 1-36. (Pubitemid 128500719)
34. Arbach L, Stolpen A, Reinhardt JM., Classification of breast MRI lesions using a backpropagation neural network (BNN). Paper presented at: Second IEEE International Symposium on Biomedical Imaging: Nano to Macro; April 15-18, 2004; 253-256. (Pubitemid 40513923)
35. Wu Q, Salganicoff M, Krishnan A, et al,. Interactive lesion segmentation on dynamic contrast enhanced breast MR using a Markov model. Proceedings of SPIE Medical Imaging Conference; March 15, 2006; San Diego, CA:doi:10.1117/12. 654308. (Pubitemid 43894657)
36. Petroudi S, Ketsetzis G, Brady M., Multi-vector segmentation of breast MR image via hidden markov random fields. In: Proceedings of the 8th World Scientific and Engineering Academy and Society (CSCC); 2004.
37. Hendrick, RE., Contrast agents in breast magnetic resonance imaging. In: Breast MRI: Fundamentals and Technical Aspects. New York, NY: Springer; 2008; 113-134.
38. Levman JE, Causer P, Warner E, et al,. Effect of the enhancement threshold on the computer-aided detection of breast cancer using MRI. Acad Radiol 2009; 16: 1064-1069.
39. Holli K, Lääperi AL, Harrison L, et al,. Characterization of breast cancer types by texture analysis of magnetic resonance images. Acad Radiol 2010; 17: 135-141.
40. Baltzer PA, Vag T, Dietzel M, et al,. Computer-aided interpretation of dynamic magnetic resonance imaging reflects histopathology of invasive breast cancer. Eur Radiol 2010; 20: 1563-1571.
41. Chen W, Giger ML, Newstead GM, et al,. Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers. Acad Radiol 2010; 17: 822-829.
42. Lin M, Chen JH, Nie K, et al,. Algorithm-based method for detection of blood vessels in breast MRI for development of computer-aided diagnosis. J Magn Reson Imaging 2009; 30: 817-824.
43. Karellas A, Vedantham S, Breast cancer imaging: a perspective for the next decade. Med Phys 2008; 35: 4878-4897.
44. Sampat MP, Bovik AC, Whitman GJ, et al,. A model-based framework for the detection of spiculated masses on mammography. Med Phys 2008; 35: 2110-2123. (Pubitemid 351614826)