Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme

Physics in Medicine and Biology

Volumn 59, Issue 15, 2014, Pages 4357-4373

  Tan, Maxine ^a   Pu, Jiantao ^b   Zheng, Bin ^a,b  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

breast cancer screening; computer aided diagnosis (CAD); full field digital mammography (FFDM); quantitative mammographic density measures

Indexed keywords

DISEASES; IMAGE TEXTURE; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; TEXTURES; X RAY SCREENS;

BREAST CANCER SCREENING; FULL FIELD DIGITAL MAMMOGRAPHY; GLOBAL TEXTURE FEATURES; MAMMOGRAPHIC DENSITY; MEDIO-LATERAL OBLIQUE VIEWS; QUANTITATIVE ASSESSMENTS; RECEIVER OPERATING CHARACTERISTIC CURVES; SUPPLEMENTARY INFORMATION;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; LABORATORY DIAGNOSIS; MAMMOGRAPHY; PROCEDURES;

ALGORITHMS; FALSE POSITIVE REACTIONS; FEMALE; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 84905563805     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/59/15/4357     Document Type: Article

References (68)

1. American Cancer Society 2014 What are the key statistics about breast cancer?
2. American College of Radiology 2003 Bi-RADS Breast Imaging Reporting and Data System Breast Imaging Atlas
3. Bertrand K A et al 2013 Mammographic density and risk of breast cancer by age and tumor characteristics Breast Cancer Research: BCR 15 R104
4. Brawley O W 2012 Risk-based mammography screening: an effort to maximize the benefits and minimize the harms Ann. Intern. Med. 156 662-3
5. Brodersen J and Siersma V D 2013 Long-term psychosocial consequences of false-positive screening mammography Ann. Fam. Med. 11 106-15
6. Buist D S M et al 2011 Influence of annual interpretive volume on screening mammography performance in the United States Radiology 259 72-84
7. Byng J W, Boyd N F, Fishell E, Jong R A and Yaffe M J 1994 The quantitative analysis of mammographic densities Phys. Med. Biol. 39 1629-38 (Pubitemid 24306719)
8. Byng J W, Yaffe M J, Lockwood G A, Little L E, Tritchler D L and Boyd N F 1997 Automated analysis of mammographic densities and breast carcinoma risk Cancer 80 66-74 (Pubitemid 27270921)
9. Catarious D M Jr, Baydush A H and Floyd C E Jr 2006 Characterization of difference of Gaussian filters in the detection of mammographic regions Med. Phys. 33 4104-14 (Pubitemid 44673101)
10. Chang Y-H, Wang X-H, Hardesty L A, Chang T S, Poller W R, Good W F and Gur D 2002 Computerized assessment of tissue composition on digitized mammograms Acad. Radiol 9 899-905 (Pubitemid 34856282)
11. Consedine N S 2013 A false-positive on screening mammography has a negative psychosocial impact up to 3 years after receiving the all clear Evid. Based Ment. Health 16 115
12. DeLong E R, DeLong D M and Clarke-Pearson D L 1988 Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach Biometrics 44 837-45
13. Elter M and Horsch A 2009 CADx of mammographic masses and clustered microcalcifications: a review Med. Phys 36 2052-68
14. Eltonsy N H, Tourassi G D and Elmaghraby A S 2007 A concentric morphology model for the detection of masses in mammography IEEE Trans. Med. Imaging 26 880-9 (Pubitemid 46842922)
15. Fenton J J, Abraham L, Taplin S H, Geller B M, Carney P A, D'Orsi C, Elmore J G, Barlow W E and Consortium f t B C S 2011 Effectiveness of computer-aided detection in community mammography practice J. Natl. Cancer Inst. 103 1152-61
16. Glide-Hurst C K, Duric N and Littrup P 2007 A new method for quantitative analysis of mammographic density Med. Phys. 34 4491-98 (Pubitemid 350029670)
17. Guliato D, Rangayyan R M, Carvalho J D and Santiago S A 2008 Polygonal modeling of contours of breast tumors with the preservation of spicules IEEE Trans. Biomed. Eng. 55 14-20 (Pubitemid 350308407)
18. Gur D, Abrams G S, Chough D M, Ganott M A, Hakim C M, Perrin R L, Rathfon G Y, Sumkin J H, Zuley M L and Bandos A I 2009 Digital breast tomosynthesis: observer performance study AJR Am. J. Roentgenol. 193 586-91
19. Gur D, Stalder J S, Hardesty L A, Zheng B, Sumkin J H, Chough D M, Shindel B E and Rockette H E 2004a Computer-aided detection performance in mammographic examination of masses: assessment Radiology 233 418-23 (Pubitemid 39423800)
20. Gur D, Sumkin J H, Rockette H E, Ganott M, Hakim C, Hardesty L, Poller W R, Shah R and Wallace L 2004b Changes in breast cancer detection and mammography recall rates after the introduction of a computer-aided detection system J. Natl Cancer Inst. 96 185-90 (Pubitemid 38263177)
21. Haneuse S et al 2012 Mammographic interpretive volume and diagnostic mammogram interpretation performance in community practice Radiology 262 69-79
22. Haralick R M, Shanmugam K and Dinstein I 1973 Texture features for image classification IEEE Trans. Syst. Man, Cybern 3 610-21
23. Heidt S-R, Elter M, Wittenberg T and Paulus D 2009 Model-based characterization of mammographic masses Bildverarbeitung für die Medizin 2009 ed H-P Meinzer et al (Berlin, Heidelberg: Springer) 287-91
24. Heine J J et al 2012 A novel automated mammographic density measure and breast cancer risk J. Natl. Cancer Inst. 104 1028-37
25. Hubbard R A, Kerlikowske K, Flowers C I, Yankaskas B C, Zhu W and Miglioretti D L 2011 Cumulative probability of false-positive recall or biopsy recommendation after 10 years of screening mammography: a cohort study Ann. Intern. Med. 155 481-92
26. Ikeda D M and Sickles E A 1988 Second-screening mammography: one versus two views per breast Radiology 168 651-56
27. Kom G, Tiedeu A and Kom M 2007 Automated detection of masses in mammograms by local adaptive thresholding Comput. Biol. Med. 37 37-48 (Pubitemid 44739936)
28. Law Y N, Lieng M K, Li J and Khoo D A-A 2014 Automated breast tissue density assessment using high order regional texture descriptors in mammography Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis 90351Q
29. Li H, Giger M L, Olopade O I, Margolis A, Lan L and Chinander M R 2005 Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms Acad. Radiol 12 863-73 (Pubitemid 41008679)
30. Li J, Szekely L, Eriksson L, Heddson B, Sundbom A, Czene K, Hall P and Humphreys K 2012 High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer Breast Cancer Research: BCR 14 R114
31. Linet M S, Slovis T L, Miller D L, Kleinerman R, Lee C, Rajaraman P and Berrington de Gonzalez A 2012 Cancer risks associated with external radiation from diagnostic imaging procedures CA Cancer J. Clin. 62 75-100
32. Liu B, Metz C E and Jiang Y 2005 Effect of correlation on combining diagnostic information from two images of the same patient Med. Phys. 32 3329-38 (Pubitemid 41689283)
33. Manduca A, Carston M J, Heine J J, Scott C G, Pankratz V S, Brandt K R, Sellers T A, Vachon C M and Cerhan J R 2009 Texture features from mammographic images and risk of breast cancer Cancer Epidemiol Biomarkers Prev. 18 837-45
34. Maskarinec G, Verheus M, Steinberg F M, Amato P, Cramer M K, Lewis R D, Murray M J, Young R L and Wong W W 2009 Various doses of soy isoflavones do not modify mammographic density in postmenopausal women J. Nutri. 139 981-6
35. Mudigonda N R, Rangayyan R M and Desautels J E 2000 Gradient and texture analysis for the classification of mammographic masses IEEE Trans. Med. Imaging 19 1032-43 (Pubitemid 32075871)
36. Mudigonda N R, Rangayyan R M and Desautels J E 2001 Detection of breast masses in mammograms by density slicing and texture flow-field analysis IEEE Trans. Med. Imaging 20 1215-27 (Pubitemid 34125132)
37. Noh J J, Maskarinec G, Pagano I, Cheung L W K and Stanczyk F Z 2006 Mammographic densities and circulating hormones: a cross-sectional study in premenopausal women Breast 15 20-8 (Pubitemid 43210545)
38. Qian W, Song D, Lei M, Sankar R and Eikman E 2007 Computer-aided mass detection based on ipsilateral multiview mammograms Acad. Radiol. 14 530-8 (Pubitemid 46551750)
39. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J C and Muller M 2011 pROC: an open-source package for R and S+ to analyze and compare ROC curves BMC Bioinform. 12 77
40. Rumelhart D E, Hinton G E and Williams R J 1986 Learning representations by back-propagating errors Nature 323 533-6 (Pubitemid 16025374)
41. 2008 Characterization of mammographic masses based on level set segmentation with new image features and patient information Med. Phys 35 280-90
42. Sickles E A, Weber W N, Galvin H B, Ominsky S H and Sollitto R A 1986 Baseline screening mammography: one vs two views per breast AJR Am. J. Roentgenol. 147 1149-53 (Pubitemid 17185023)
43. Sickles E A, Wolverton D E and Dee K E 2002 Performance parameters for screening and diagnostic mammography: specialist and general radiologists Radiology 224 861-9 (Pubitemid 34919825)
44. Smith R A, Cokkinides V, Brooks D, Saslow D, Shah M and Brawley O W 2011 Cancer screening in the United States, 2011: a review of current American Cancer Society guidelines and issues in cancer screening CA Cancer J. Clin. 61 8-30
45. Tabar L, Vitak B, Chen H H, Yen M F, Duffy S W and Smith R A 2001 Beyond randomized controlled trials: organized mammographic screening substantially reduces breast carcinoma mortality Cancer 91 1724-31 (Pubitemid 32377958)
46. Tan M, Zheng B, Ramalingam P and Gur D 2013 Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry Acad. Radiol. 20 1542-50
47. Tang X 1998 Texture information in run-length matrices IEEE Trans. Image Proc 7 1602-9 (Pubitemid 128745433)
48. The J S, Schilling K J, Hoffmeister J W, Friedmann E, McGinnis R and Holcomb R G 2009 Detection of breast cancer with full-field digital mammography and computer-aided detection AJR Am. J. Roentgenol. 192 337-40
49. Tzikopoulos S, Mavroforakis M E, Georgiou H V, Dimitropoulos N and Theodoridis S 2011 A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry Comput. Methods Programs Biomed. 102 47-63
50. van Engeland S and Karssemeijer N 2007 Combining two mammographic projections in a computer aided mass detection method Med. Phys. 34 898-905 (Pubitemid 46355653)
51. Varela C, Tahoces P G, Mendez A J, Souto M and Vidal J J 2007 Computerized detection of breast masses in digitized mammograms Comput. Biol. Med. 37 214-26 (Pubitemid 44914134)
52. Varela C, Timp S and Karssemeijer N 2006 Use of border information in the classification of mammographic masses Phys. Med. Biol 51 425-41 (Pubitemid 43231981)
53. Velikova M, Samulski M, Lucas P J and Karssemeijer N 2009 Improved mammographic CAD performance using multi-view information: a Bayesian network framework Phys. Med. Biol. 54 1131-47
54. Wald N J, Murphy P, Major P, Parkes C, Townsend J and Frost C 1995 UKCCCR multicentre randomised controlled trial of one and two view mammography in breast cancer screening BMJ (Clinical Research ed.) 311 1189-93
55. Wang X, Lederman D, Tan J, Wang X H and Zheng B 2011 Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry Med. Eng. Phys. 33 934-42
56. Wang X, Li L, Xu W, Liu W, Lederman D and Zheng B 2012 Improving the performance of computer-aided detection of subtle breast masses using an adaptive cueing method Phys. Med. Biol. 57 561-75
57. Wang X H, Good W F, Chapman B E, Chang Y-H, Poller W R, Chang T S and Hardesty L A 2003 Automated assessment of the composition of breast tissue revealed on tissue-thickness-corrected mammography AJR Am. J. Roentgenol. 180 257-62 (Pubitemid 36008722)
58. Wei J, Chan H P, Sahiner B, Zhou C, Hadjiiski L M, Roubidoux M A and Helvie M A 2009 Computer-aided detection of breast masses on mammograms: dual system approach with two-view analysis Med. Phys. 36 4451-60
59. 2011a Association of computerized mammographic parenchymal pattern measure with breast cancer risk: a pilot case-control study Radiology 260 42-9
60. Wei J, Chan H P, Zhou C, Wu Y T, Sahiner B, Hadjiiski L M, Roubidoux M A and Helvie M A 2011b Computer-aided detection of breast masses: four-view strategy for screening mammography Med. Phys. 38 1867-76
61. Wei X 2007 Gray Level Run Length Matrix Toolbox v1.0
62. Yaffe M J and Mainprize J G 2011 Risk of radiation-induced breast cancer from mammographic screening Radiology 258 98-105
63. Yang S K, Moon W K, Cho N, Park J S, Cha J H, Kim S M, Kim S J and Im J G 2007 Screening mammography-detected cancers: sensitivity of a computer-aided detection system applied to full-field digital mammograms Radiology 244 104-11 (Pubitemid 46981963)
64. Yuan Y, Giger M L, Li H and Sennett C 2008 Correlative feature analysis on FFDM Med. Phys. 35 5490-500
65. Zheng B, Leader J K, Abrams G S, Lu A H, Wallace L P, Maitz G S and Gur D 2006 Multiview-based computer-aided detection scheme for breast masses Med. Phys 33 3135-43 (Pubitemid 44327413)
66. Zheng B, Sumkin J H, Zuley M L, Lederman D, Wang X and Gur D 2012 Computer-aided detection of breast masses depicted on full-field digital mammograms: a performance assessment Br. J. Radiol. 85 e153-e61
67. Zheng B, Tan J, Ganott M A, Chough D M and Gur D 2009 Matching breast masses depicted on different views a comparison of three methods Acad. Radiol. 16 1338-47
68. Zhou C, Chan H P, Petrick N, Helvie M, Goodsitt M, Sahiner B and Hadjiiski L 2001 Computerized image analysis: estimation of breast density on mammograms Med. Phys. 28 1056-69 (Pubitemid 32574690)