Physica Medica: European Journal of Medical Physics
Volume 25, Issue 2 , Pages 58-72 , June 2009

GPCALMA: Implementation in Italian hospitals of a computer aided detection system for breast lesions by mammography examination

Received 3 January 2008 ,Revised 31 March 2008 ,Accepted 2 May 2008.

References 

  1. Bray F, McCarron P, Maxwell Parkin D. The changing global patterns of female breast cancer incidence and mortality. Breast Cancer Res. 2004;6:229–239
  2. Levi F, Lucchini F, Negri E, La Vecchia C. Trends in mortality from major cancers in the European Union, including acceding countries, in 2004. Cancer. 2004;101:2843–2850
  3. Thurfjell E, Anders Lernevall K, Taube A. Benefit of independent double reading in a population-based mammography screening program. Radiology. 1994;191:241–244
  4. Anttinen I, Pamilo M, Soiva M, Roiha M. Double reading of mammography screening films—one radiologist or two?. Clin Radiol. 1993;48:414–421
  5. Freer WT, Ulissey MJ. Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. Radiology. 2001;220:781–786
  6. Brake GM, Karssemeijer N, Hendriks JHCL. Automated detection of breast carcinomas not detected in a screening program. Radiology. 1998;207:465–471
  7. Ciatto S, Rosselli Del Turco M, Risso G, Catarzi S, Bonardi R, Viterbo V, et al. Comparison of standard reading and computer aided detection (CAD) on a national proficiency test of screening mammography. Eur J Radiol. 2003;45:135–138
  8. Georgian-Smith D, Moore RH, Halpern E, Yeh ED, Rafferty EA, D'Alessandro HA, et al. Blinded comparison of computer-aided detection with human second reading in screening mammography. Am J Roentgenol. 2007;189(5):1135–1141
  9. Nishikawa RM, Kallergi M. Computer-aided detection, in its present form, is not an effective aid for screening mammography. Med Phys. 2006;33:811–814
  10. Bazzocchi M, Mozzarella F, Del Frate C, Girometti F, Zuiani C. CAD systems for mammography: a real opportunity? A review of the literature. La Radiol Med. 2007;112:
  11. Lauria A, Palmiero R, Forni G, Cerello P, Golosio B, Fauci F, et al. The CALMA system: an artificial neural network method for detecting masses and microcalcifications in digitized mammograms. Nucl Instrum Meth A. 2004;518:391–393
  12. Lauria A, Palmiero R, Forni G, Fantacci ME, Imbraco M, Sodano A, et al. A study on two different CAD systems for mammography as an aid to radiological diagnosis in the search of microcalcification clusters. Eur J Radiol. 2005;55(2):264–269
  13. Bagnasco S, Bottigli U, Cerello P, Delogu P, Fantacci ME, Lopez Torres E, et al. GPCALMA: a grid approach to mammographic screening. Nucl Instrum Meth A. 2004;518:394–398
  14. Fauci F, Raso G, Magro R, Forni G, Lauria A, Bagnasco S, et al. A massive lesion detection algorithm in mammography. Phys Medica. 2005;xxi:21–28
  15. Bellotti R, De Carlo F, Tangaro S, Gargano G, Maggipinto G, Castellano M, et al. A completely automated CAD system for mass detection in a large mammographic database. Med Phys. 2006;33:3066–3075
  16. Osuch JR, Anthony M, Bassett LW, DeBor M, D'Orsi C, Hendrick RE, et al. A proposal for a national mammography database: content, purpose, and value. Am J Roentgenol. 1995;164:1329–1334
  17. Nunes FLS, Schiabel H, Rodrigo H, Benatti RH. A computer system to record and retrieve information from a mammographic images database by internet. World Congress on Medical Physics and Biomedical Engineering, 25–31 August 2003, Sydney, Australia.
  18. McClatchey R, Manset D, Hauer T, Estrella F, Saiz P, Rogulin D, et al. The MammoGrid project grids architecture. Computing in High Energy and Nuclear Physics (CHEP03) La Jolla, Ca, USA, March 2003.
  19. Ertas G, Gulcur HÖ, Aribal E, Semiz A. Development of a secure mammogram database. MEDNET 2001: abstract no. 54.
  20. Computer aided detection in mammography. NHS Breast Screening Programme Publication No. 48; 2001.
  21. Bazzocchi M, Facecchia I, Zuiani C, Londero V, Smania S, Bottigli U, et al. Application of a computer-aided detection (CAD) system to digitalized mammograms for identifying microcalcifications. Radiol Med. 2001;101:334–340
  22. James JJ. The current status of digital mammography. Clin Radiol. 2004;59:1–10
  23. Jong RA, Yaffe MJ, Skarpathiotakis M, Shumak RS, Danjoux NM, Gunesekara A, et al. Contrast-enhanced digital mammography: initial clinical experience. Radiology. 2003;228:842–850
  24. Kim SJ, Moon WK, Cho N, Cha JH, Kim SM, Im JG. Computer-aided detection in full-field digital mammography: sensitivity and reproducibility in serial examinations. Radiology. 2008;246:71–80
  25. Boone JM, Gross GW, Greco-Hunt V. Neural networks in radiologic diagnosis I. Introduction and illustration. Invest Radiol. 1990;25:1012–1016
  26. D'Orsi CJ. Computer-aided detection: there is no free lunch. Radiology. 2001;221:585–586
  27. Huo Z, Giger ML, Metz CE. Effect of dominant features on neural network performance in the classification of mammographic lesions. Phys Med Biol. 1999;44:2579–2595
  28. te Brake GM, Karssemeijer N, Hendriks JHCL. An automatic method to discriminate malignant masses from normal tissue in digital mammograms. Phys Med Biol. 2000;45:2843–2857
  29. Woods K, Bowyer KW. Generating ROC curves for artificial neural networks. IEEE Trans Med Imaging. 1997;16:329–337
  30. Chan H, Wei D, Helvie MA, Sahiner B, AdIer DD, Goodsitt MM, et al. Computer-aided classification of mammographic masses and normal tissue: linear discriminant analysis in texture feature space. Phys Med Biol. 1995;40:857–876
  31. Gupta R, Undrill PE. The use of texture analysis to delineate suspicious masses in mammography. Phys Med Biol. 1995;40:835–855
  32. Catarious DM, Baydush AH, Floyd CE. Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system. Med Phys. 2004;31:1512–1520
  33. Haralik RM, Shanmugan K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybernet. 1973;3:610–621
  34. Conners RW, Harlow CA. A theoretical comparison of texture algorithms. IEEE Trans Pattern Anal Machine Intell. 1980;2:204–222
  35. Hertz J, Krogh A, Palmer RG. Introduction to the theory of neural computation. Addison-Wesley; 1991;
  36. Stone M. Cross-validatory choice and assessment of statistical predictions. J Roy Stat Soc B. 1974;36(1):111–147
  37. Chakraborty DP, Winter LHL. Free-response methodology: alternate analysis and a new observer-performance experiment. Radiology. 1990;174(3I):873–881
  38. Cheng HD, Cai X, Chen X, Hu L, Lou X. Computer-aided detection and classification of microcalcifications in mammograms: a survey. Pattern Recogn. 2003;36:2967–2991
  39. Gavrielides MA, Lo JY, Floyd CE. Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms. Med Phys. 2002;29:475–483
  40. Kallergi M. Computer-aided diagnosis of mammographic microcalcification clusters. Med Phys. 2004;31:314–316
  41. Chan H, Sahiner B, Lam KL, Petrick N, Helvie MA, Goodsitt MM, et al. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Med Phys. 1998;25:2007–2019
  42. Veldkamp W, Karssemeijer N, Otten J, Hendriks J. Automated classification of clustered microcalcifications into malignant and benign types. Med Phys. 2000;27:2600–2608
  43. Gurcan MN, Chan HP, Sahiner B, Hadjiiski L, Petrick N, Helvie M. Optimal neural network architecture selection: improvement in computerized detection of microcalcifications. Acad Radiol. 2002;9:420–429
  44. Fantacci ME, Bottigli U, Delogu P, Fauci F, Golosio B, Lauria A, et al. Search of microcalcification clusters with the CALMA CAD station. Proc SPIE. 2002;4684:1301–1310
  45. Cheran SC, Cataldo R, Cerello P, De Carlo F, Fauci F, Forni G, et al. Detection and classification of microcalcification clusters in digitized mammograms. IEEE Nucl Sci Symp Conf Rec. 2004;7:4136–4140
  46. Vincent L. Morphological grayscale reconstruction in image analysis: applications and efficient algorithms. IEEE Trans Image Process. 1993;2:176–201
  47. Lattanzio E, Guerrieri AM. The mammography report. Radiol Med. 1998;96:283–288
  48. Green DN, Swets JA. Signal detection theory and psychophysics. New York: John Wiley and Sons; 1966;
  49. Metz CE. ROC methodology in radiologic imaging. Invest Radiol. 1986;21:720–733
  50. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36
  51. Bornefalk H. Implications of unchanged detection criteria with CAD as second reader of mammograms. Med Phys. 2006;33:922–929
  52. Bilska-Wolak AO, Floyd CE. Tolerance to missing data using a likelihood ratio based classifier for computer-aided classification of breast cancer. Phys Med Biol. 2004;49:4219–4237
  53. Campanini R, Dongiovanni D, Iampieri E, Lanconelli N, Masotti M, Palermo G, et al. A novel featureless approach to mass detection in digital mammograms based on support vector machines. Phys Med Biol. 2004;49:961–975
  54. Timp S, Karssemeijer N. A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography. Med Phys. 2004;31:958–971
  55. Taylor P, Champness J, Given-Wilson R, Johnston K, Potts H. Impact of computer-aided detection prompts on the sensitivity and specificity of screening mammography. Health Technol Assess. 2005;9(6):
  56. Helvie M, Hadjiiski L, Makariou E, Chan H, Petrick N, Sahiner B, et al. Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial. Radiology. 2004;231:208–214
  57. Astley SM, Gilbert FJ. Computer-aided detection in mammography. Clin Radiol. 2004;59:390–399
  58. Zheng B, Gur D, Good WF, Hardesty LA. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms. Med Phys. 2004;31:2964–2972
  59. Bagnasco S, Bottigli U, Cerello P, Cheran S, Delogu P, Fantacci ME, et al. GPCALMA: a grid based tool for mammographic screening. Method Inform Med. 2005;44(2):244–248

PII: S1120-1797(08)00064-1

doi: 10.1016/j.ejmp.2008.05.002

Physica Medica: European Journal of Medical Physics
Volume 25, Issue 2 , Pages 58-72 , June 2009

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