Improving ultrasonographic diagnosis of prostate cancer with neural networks

Ultrasound in Medicine and Biology

Volumn 25, Issue 5, 1999, Pages 729-733

  Ronco, Alvaro L ^a,b   Fernandez, Rossana ^c  

^a National Cancer Institute   (Uruguay)

^b U of Cancer Epidemiol and Prev   (Uruguay)

^c Ecoimagenes Cent   (Uruguay)

Author keywords

Cancer; Neural networks; Prostate cancer; Transrectal ultrasonography

Indexed keywords

BACKPROPAGATION; DIAGNOSIS; DISEASES; LEARNING SYSTEMS; NEURAL NETWORKS; STATISTICAL METHODS;

BACKPROPAGATION NEURAL NETWORKS; CANCER; PROSTATE CANCER; TRANSRECTAL ULTRASONOGRAPHY;

ULTRASONIC IMAGING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; DIAGNOSTIC VALUE; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; PROSTATE CANCER; TRANSRECTAL ULTRASONOGRAPHY;

BIOPSY; CHI-SQUARE DISTRIBUTION; DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; HUMANS; LOGISTIC MODELS; MALE; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; PROSTATE; PROSTATIC NEOPLASMS; RECTUM; ULTRASONOGRAPHY;

EID: 0033048092     PISSN: 03015629     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0301-5629(99)00011-3     Document Type: Article

References (23)

1. 1989 Survey of physicians' attitudes and practices in early cancer detection. CA. 40:1990;77-101.
2. Baker J.A., Kornguth P.J., Lo J.Y., Williford M.E., Floyd C.E. Jr. Breast cancer prediction with artificial neural network based on BI-RADS standardized lexicon. Radiology. 196:(3):1995;817-822.
3. Benson M.C., Whang I.S., Olsson C.A., McMahon D.J., Cooner W.H. The use of prostate specific antigen density to enhance the predictive value of intermediate levels of serum prostate specific antigen. J Urol. 147:1992;817-821.
4. Buller D., Buller A., Innocent P.R., Pawlak W. Artif Intell Med. 8:(1):1996;53-66.
5. Cooner W.H., Mosley B.R., Rutherford C.L., et al. Clinical application of transrectal ultrasonography and prostatic specific antigen in the search for prostate Cancer. J Urol. 139:1988;758-761.
6. dBase Version 5.0. 1994;Borland International Inc, Scott Valley, CA.
7. Dorffner G., Prem E., Mackinger M., et al. Experiences with neural networks as a diagnostic tool in medical image processing. Michaelis J., et al. Europaeische perspektiven der medizinischen informatik, biometrie und epidemiologie. 1993;407-411 MMV, München.
8. Gan W.S. Application of neural networks to the processing of medical images, in International Joint Conference on Neural Networks. IEEE. 1991;300-306.
9. Giesen R.J.B., Huynen A.L., Aarnink R.G., et al. Computer analysis of transrectal ultrasound images of the prostate for the detection of carcinoma. A prospective study in radical prostatectomy specimens. J Urol. 154:1995;1397-1400.
10. Gouge J.O., Gouge S.B. Machine-intelligence algorythms analyze images. Laser focus World. 23:(2):1996;146-147.
11. Kane R.A., Littrup P.J., Babaaian R., Drago J.R., Lee F., Chesley A., Murphy G.P., Mettlin C. Prostate-specific antigen levels in 1695 men without evidence of prostate cancer. Cancer. 69:(5):1992;1201-1207.
12. Lee F., Littrup P.J., Torp-Pedersen S.T., et al. Prostate cancer Comparison of transrectal US and digital rectal examination for screening . Radiology. 168:1988;389-394.
13. Lee F., Torp-Pedersen S.T., Siders D.B., et al. Transrectal ultrasonography in the diagnosis and staging of prostatic carcinoma. Radiology. 170:1989;609-615.
14. NeuroGenetic Optimizer version 2.5 for Windows. 1995;BioComp Systems Inc, Redmond, WA.
15. Parkin D.M., Whelan S.L., Ferlay J., Raymond L., Young J. Cancer incidence in five continents. IARC Scient. Pub. No.143. Vol:1997;International Agency for Research on Cancer, Lyon, France.
16. Ronco A.L., Carambula J.A. Classificatory improvement of a breast clinical screening programme by application of an artificial neural network: a pilot study. No. 332, X International Congress on Senology, Oporto, Portugal, 31/V-4/VI, 1998. (Abstr.) Breast J. 4:(Suppl.1):1998;21.
17. Ronco A.L., Fernandez W.H., Aparicio D., et al. Diagnostic optimization of the transrectal ultrasonography by application of an artificial neural network: preliminary results. Abstract of the VIII Congress of the World Federation of Ultrasound in Medicine and Biology, Buenos Aires, Argentina, September 1-5, 1997. Ultrasound Med Biol. 23:(Suppl.1):1997;S58.
18. Ronco AL, Louise J, De Stefani E. Cancer incidence in Montevideo, Uruguay. Proceedings of the 1993 Annual Meeting of the International Association of Cancer Registries, Bratislava, September 13-16, 1993:90.
19. SPSS/PC+ version 5.0 for DOS. 1992;SPSS Inc, Michigan, IL.
20. Snow P.B., Smith D.S., Catalona W.J. Artificial neural networks in the diagnosis and prognosis of prostate cancer a pilot study . J Urol. 152:(5 Pt 2):1994;1923-1926.
21. Tu J.V. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol. 49:1996;1225-1231.
22. Vassallo J.A., Barrios E. Atlas de mortalidad por cancer en el Uruguay. 1994;Comision Honoraria de Lucha Contra el Cancer, Imp. Barreiro y Ramos, Montevideo.
23. Waterhouse R.L., Resnick M.I. The use of transrectal prostatic ultrasonography in the evaluation of patients with prostatic carcinoma. J Urol. 141:1989;233-239.