Computer expert system for the histopathologic diagnosis of salivary gland neoplasms

Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontics

Volumn 82, Issue 2, 1996, Pages 179-186

  John Firriolo, F ^a,b   Levy, Bernard A ^b,c  

^a UNIVERSITY OF LOUISVILLE SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF LOUISVILLE   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; DELPHI STUDY; DENTISTRY; EQUIPMENT DESIGN; EVALUATION; EXPERT SYSTEM; HUMAN; HYPERMEDIA; INSTRUMENTATION; METHODOLOGY; MOUTH DISEASE; NONPARAMETRIC TEST; OBSERVER VARIATION; PATHOLOGY; REPRODUCIBILITY; SALIVARY GLAND TUMOR; TELEVISION;

BAYES THEOREM; DELPHI TECHNIQUE; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, ORAL; EQUIPMENT DESIGN; EVALUATION STUDIES; EXPERT SYSTEMS; HUMANS; HYPERMEDIA; OBSERVER VARIATION; PATHOLOGY, ORAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SALIVARY GLAND NEOPLASMS; STATISTICS, NONPARAMETRIC; TELEVISION; USER-COMPUTER INTERFACE;

EID: 0030208286     PISSN: 10792104     EISSN: None     Source Type: Journal    
DOI: 10.1016/s1079-2104(96)80222-8     Document Type: Article

References (56)

1. Bartels PH, Weber JE. Expert systems in histopathology I: introduction and overview. Anal Quant Cytol Histol 1989;11:1-7.
2. Fattu IM, Patrick EA. Computer-aided diagnosis and decision making. In: Javitt J, ed. Computers in medicine. Philadelphia: WB Saunders, 1986:201-7.
3. Baak JPA. Artificial intelligence systems (expert systems) as diagnostic consultants for the cytologic and histologic diagnosis of cancer. J Cancer Res Clin Oncol 1988;114:325-34.
4. Stenkvist B, Westman-Naeser S, Holmquist J, et al. Computerized nuclear morphometry as an objective method for characterizing human cancer cell populations. Cancer Res 1978;38:4688-97.
5. Holmquist J, Bengtsson E, Eriksson O, et al. Computer grading of cell population from breast cancers. In: Pressman NJ, Wied GL, eds. The automation of cancer cytology and cell image analysis. Proceedings of the 2nd International Conference: Tutorial of Cytology, Chicago 1979:159-66.
6. Cornelisse CJ, Venekamp HW, Smeulders AWM, Hennans J, van Heerde P. Cytometric analysis of DNA content nuclear size, and chromatin texture in benign breast lesions. Acta Pathol Microbiol Scand 1981;(suppl)274:407-11.
7. Heathfield H, Bose D, Kirkham N. Knowledge-based computer system to aid in the histopathological diagnosis of breast disease. J Clin Pathol 1991;44:502-8.
8. Dawson AE, Austin RE, Weinberg DS. Nuclear grading of breast carcinoma by image analysis. Am J Clin Pathol 1991;95:529-37.
9. van Diest PJ, Belien JAM, Baak JPA. An expert system for histological typing and grading of invasive breast cancer. Pathol Res Pract 1992;188:405-9.
10. O'Leary TJ, Ulrika VM, Becker RL. Computer-assisted image interpretation: network to differentiate tubular carcinoma from sclerosing adenosis. Mod Pathol 1992;511:402-5.
11. Wolberg WH, Mangasarian OL. Computer-designed expert systems for breast cytology diagnosis. Anal Quant Cytol Histol 1993;15:67-74.
12. Baak JPA, Kurver PHJ. Development and use of a rule-based pathology expert consultation system. Anal Quant Cytol Histol 1988;10:214-8.
13. Hamilton PW, Anderson N, Barrels PH, Thompson D. Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast. J Clin Pathol 1994;47:329-36.
14. van Diest PJ, Belien JA, Zanstra PE, Wilhelm WW, Baak JP. Integrated decision support system/image archive for histological typing of breast cancer using a relation-oriented inference system. Histopathology 1994;25:253-9.
15. Weber JE, Banels PH, Griswold W, et al. Colonic lesion expert system: performance evaluation. Anal Quant Cytol Histol 1988;10:150-9.
16. Weber JE, Bartels PH. Colonic lesion expert system: evaluation of sensitivity. Anal Quant Cytol Histol 1989;11:249-54.
17. Bartels PH, Bibbo M, Graham A, et al. Image understanding system for histopathology. Anal Cell Pathol 1989;1:195-214.
18. Bartels PH, Thompson D, Bartels HG, Shoemaker R. Ma-chine vision system for diagnostic histopathology. Pathol Res Pract 1989;185:635-46.
19. Graham AR, Paplanus SH, Bartels PH. A diagnostic expert system for colonic lesions. Am J Clin Pathol 1990;94:S15-8.
20. Simon H, Voss K, Wenzelides K, Hufnagl P, Roth K. Automated microscopic image evaluation for histological diagnosis of tumors (grading). Exp Pathol 1986;30:51-8.
21. Simon H, Voss K, Wenzelides K, Hufnagl P, Roth K. Automated microscopic image analysis: a method for improved classification of malignant tumors and their preceding stages. Exp Pathol 1987;31:113-6.
22. Hufnagl P, Wolf G, Wenzelides K, et al. Expert system for pathologists to generate an image analysis program for tumor grading. Exp Pathol 1988;34:29-34.
23. Hufnagl P, Guski H, Wolf, G, et al. The PARTICLE expert system for tumor grading by automated image analysis. Anal Quant Cytol Histol 1989;11:440-6.
24. Moch H, Oberholzer M, Christen H, et al. Diagnostic tools for differentiating pleural mesothelioma from lung adenocarcinoma in paraffin-embedded tissue: II-design of an expert system and its applicatiqn to the diagnosis of mesothelioma. Virchows Arch A Pathol Anat Histopathol 1993;423:493-6.
25. Balko JA, Tao LC. An expert system for teaching cytopathologic diagnosis of lung cancers. Anal Quant Cytol Histol 1994;16:321-31.
26. Bostrom RC, Sawyer HS, Tolles WE. Instrument for automatically prescreening cytologic smears. Proceedings of the IRE 1959;47:1895-901.
27. Protopapa E, Miaoulis G, Ferreiro M, Panayiotides J, Katsikas SK, Delides G. A new expert system for histopathological diagnosis of human ovarian epithelial cancer. In Vivo 1993;7:369-72.
28. Robertson AJ, Anderson JM, Brown RA, Slidders W, Swanson-Beck J. Grading of astrocytomas using a Quantimet 720 image-analyzing computer. J Clin Pathol 1978;31:469-74.
29. Martin H, Voss K. Automated image analysis of glioblastomas and other gliomas. Acta Neuropathol 1982;58:9-16.
30. Martin H, Voss K. Computerized classification of gliomas by automated microscopic picture analysis (AMPA). Acta Neuropathol 1982;58:261-8.
31. Martin H, Voss K, Hufnagl P, Frolich K. Automated image analysis of gliomas: an objective and reproducible method for tumor grading. Acta Neuropathol 1984;63:160-9.
32. Link NG, Nathwani BN, Preston K. Subclassification of follicular lymphomas by computerized image processing. Anal Quant Cytol Histol 1989;11:119-30.
33. Horvitz EJ, Heckerman DE, Nathwani BN, Pagan LM. Diagnostic strategies in the hypothesis-directed PATHFINDER system. Proc First Conf AIA, IEEE Comput Soc 1984;630-6.
34. Kaufman AG, Nathwani BN, Preston K. Subclassification of follicular lymphoma by computerized microscopy. Hum Pathol 1987;18:226-31.
35. Preston K, Firestone LM, Nathwani BN. Use of three-dimensional mathematical morphology in analyzing histologic images, with application to the subtyping of follicular lymphomas. Anal Quant Cytol Histol 1990;12:399-416.
36. Walks AE, Svidler R, Tolmachoff T, Marchevsky AM. Lymphoid-rich effusions: diagnosis by morphometry using the CAS 200 System. Am J Clin Pathol 1994;101:526-30.
37. Waterman DA. A guide to expert systems. Reading, MA: Addison-Wesley, 1986:1-31.
38. Cronenberger JH, Hsiao H, Falk RJ, Jennette JC. Nephropathology consultation via digitized images. In: Parsons DF, Fleischer CM, Greenes RA, eds. Extended clinical consulting by hospital computer networks. New York: The New York Academy of Sciences, 1992:281-92.
39. Kayser K. Progress in telepathology. In Vivo 1993;7:331-3.
40. Kayser K. Aids of telepathology in intra-operative histomorphological tumor diagnosis and classification. In Vivo 1993;71:395-8.
41. Goldberg MA, Sharif HS, Rosenthai DI, Black-Schaffer S, Flotte TJ. Making global telemedicine practical and affordable: demonstrations from the Middle East. Am J Roentgenol 1994;163:1495-500.
42. Jansen W, van Ginneken AM, Baak JPA, Smeulders AWM. Construction of the diagnostic encyclopedia workstation: computerizing pathology for the pathologist. Anal Quant Cytol Histol 1989;11:447-50.
43. Cohen J. Weighted Kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull 1968;70:213-20.
44. Turing AM. Computing machinery and intelligence. Mind 1950;59:433-60.
45. Ellis GL, Auclair PL, Gnepp DR. Surgical pathology of the salivary glands. Philadelphia: WB Saunders, 1991:144-5.
46. Bayes T. Essay toward solving a problem in the doctrine of chances. Philos Trans R Soc 1763;53:370-418.
47. Ramsey CL, Reggia JA, Nav DS, Ferrentino A. A comparative analysis of methods for expert systems. Int J ManMachine Studies 1986;24:475-99.
48. van Ginneken AM, Smeulders AWM. Reasoning in uncertainties: an analysis of five strategies and their suitability in pathology. Anal Quant Cytol Histol 1991;13:93-109.
49. Nilsson NJ. Learning machines. New York: McGraw-Hill, 1965.
50. Buchanan BG, Shortliffe EH. Rule-based expert systems: the MYCIN experiments of the Stanford heuristic programming project. Reading, MA: Addison-Wesley 1984.
51. Pedersen K. Expert system programming. New York: John Wiley & Sons, 1989:54-88.
52. EXSYS Professional Systems Manual. Albuquerque, NM: Exsys, 1988;sect. I:.31.
53. Ellis GL, Auclair PL, Gnepp DR. Surgical pathology of the salivary glands. Philadelphia: WB Saunders, 1991:130.
54. Luthans F. Organizational behavior. New York: McGraw-Hill, 1989:544-5.
55. Ellis GL, Auclair PL, Gnepp DR. Surgical pathology of the salivary glands. Philadelphia: WB Saunders, 1991:165-488.
56. Hayes WL. Statistics. 3rd ed. New York: Holt, Rinehart and Winston, 1981:552-5.