Morphometric applications in anatomic pathology

Human Pathology

Volumn 27, Issue 5, 1996, Pages 450-467

  True, Lawrence D ^a,b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF WASHINGTON MEDICAL CENTER   (United States)

Author keywords

area; automated cytology; fractal; image analysis; morphometry; neural net; prognosis; stereology; volume

Indexed keywords

BLADDER CARCINOMA; BREAST CARCINOMA; CANCER CYTODIAGNOSIS; CONFERENCE PAPER; CYTOLOGY; DIGESTIVE SYSTEM CANCER; GYNECOLOGIC CANCER; HUMAN; HUMAN CELL; IMAGE ANALYSIS; LABORATORY AUTOMATION; LEUKEMIA; LUNG CARCINOMA; LYMPHOMA; MELANOMA; METABOLIC BONE DISEASE; MORPHOMETRICS; MYOPATHY; PROGNOSIS; PROSTATE CANCER; STEREOLOGY;

EID: 0029983609     PISSN: 00468177     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0046-8177(96)90089-1     Document Type: Conference Paper

References (194)

1. Jacobj W: Uber das rhythmische wachstum der zellen durch Verdoppelung ihres volumes. Arch Entw Mech Org 106:124-192, 1925
2. Heiberg KH, Kemp T: Uber die zahl der Chromosomen in karzinomzellen beim menschen. Virchows Arch A Pathol Anat 273:693-700, 1929
3. Haumeder E: Vergleichende kern: Und nukleolenmessungen an verschieden Organengeweben mit besonderer berucksichtigung der malignen tumorzellen. Z Krebsforsch 40:105-116, 1933
4. Herman CJ, Vooijs GP, Baak JPA, et al: Quantitative cytologic and histologic techniques to assist in cancer evaluation. Methods Achiev Exp Pathol 11:73-95, 1984
5. Hall TL, Fu YS: Applications of quantitative microscopy in tumor pathology. Lab Invest 53:5, 1985
6. Gil J, Marchevsky AM, Silage DA: Applications of computerized interactive morphometry in pathology: I. Tracings and generation of graphic standards. Lab Invest 54:222-227, 1986
7. Marchevsky AM, Gil J: Applications of computerized interactive morphometry in pathology. II. A model for computer generated diagnosis. Lab Invest 54:708-716, 1986
8. Collan Y, Torkkeli T, Pesonen E, et al: Application of morphometry in tumor pathology. Anal Quant Cytol Histol 9:79-88, 1987
9. Wied CL, Bartels PH, Bibbo M, et al: Image analysis in quantitative cytopathology and histopathology. HUM PATHOL 20:549-571, 1989
10. Bolender RP: Biological stereology: History, present state, future directions. Microsc Res Tech 21:255-261, 1992
11. Hamilton PW, Allen DC: Review article: Morphometry in histopathology. J Pathol 175:369-379, 1995
12. Weibel ER: Stereological principles for morphometry in electron microscopy. Int Rev Cytol 26:235-302, 1969
13. Weibel ER: Stereological Methods: Practical Methods for Biological Morphometry. San Diego, CA, Academic Press, 1979
14. Baak JPA: A Manual of Morphometry in Diagnostic Pathology. New York, NY, Springer Verlag, 1983
15. Baak JPA: Manual of Quantitative Pathology in Cancer Diagnosis and Prognosis. New York, NY, Springer Verlag, 1991
16. Marchevsky AM, Bartels PH: Image Analysis: A Primer for Pathologists. New York, NY, Raven Press, 1994
17. Elias H, Hyde DM: A Guide to Practical Stereology. Basel, Switzerland, S. Karger AG, 1983
18. Inoue S: Video Microscopy. New York, NY, Plenum Press, 1986
19. Russ JC: Computer-Assisted Microscopy. New York, NY, Plenum Press, 1990
20. Russ JC: The Image Processing Handbook. Boca Raton, FL, CRC Press, 1992
21. Ooms ECM, Anderson WAD, Alons CL, et al: Morphometric grading bladder tumors in comparison with histologic grading by pathologists. HUM PATHOL 14:144-150, 1983
22. Delides GS, Garas G, Georgouli G, et al: Intralaboratory variations in the grading of breast carcinoma. Arch Pathol Lab Med 106:126-128, 1982
23. Frierson HF, Wolber RA, Berean KW, et al: Interobserver reproducibility of the Nottingham modification of the Bloom and Richardson histologic grading scheme for infiltrating ductal carcinoma. Am J Clin Pathol 103:195-198, 1995
24. Langley FA: Quality control in histopathology and diagnostic cytology. Histopathology 2:3-18, 1978
25. Toogood JG: What do we mean by "usually"? Lancet 1:1094, 1980
26. Bibbo M, Bartels PH, Sychra JJ, et al: Chromatin appearance in intermediate cells from patients with uterine cancer. Acta Cytol 25:23-28, 1981
27. Klawe H, Rowinski J: Malignancy associated changes (MAC) in cells of buccal smears detected by means of objective image analysis. Acta Cytol 18:30-33, 1974
28. Sherman AB, Koss LG, Adams SE: Interobserver and intraobserver differences in the diagnosis of urothelial cells: Comparison with classification by computer. Anal Quant Cytol 6:112-120, 1984
29. Collan Y, Torkkeli T, Kosma V-M, et al: Sampling in diagnostic morphometry: The influence of variation sources. Pathol Res Pract 182:401-406, 1987
30. Kramer CE, Epstein JI: Nucleoli in low-grade prostate adenocarcinoma and adenosis. HUM PATHOL 24:618-623, 1994
31. Liautaud RF, Teyssier JR, Ferre D, et al: Can chromatin texture predict structural karyotypic changes in diploid cells from thyroid cold nodules? Anal Cell Pathol 4:421-428, 1992
32. Mulder J-WR, Offerhaus GJA, Feyter EP de, et al: The relationship of quantitative nuclear morphology to molecular genetic alterations in the adenoma-carcinoma sequence of the large bowel. Am J Pathol 141:797-804, 1992
33. Steilen H, Ketter R, Romanakis K: DNA aneuploidy in prostatic adenocarcinoma: A frequent event as shown by fluorescence in situ DNA hybridization. HUM PATHOL 25:1306-1313, 1994
34. DeGroot DMG: Comparison of methods for the estimation of the thickness of ultrathin tissue sections. J Microsc 151:23-42, 1988
35. Evans SM, Howard V: A simplification of the "step" method for estimating mean section thickness. J Microsc 154:289-293, 1989
36. Zhu Q, Tekola P, Baak JP, et al: Measurement by confocal laser scanning microscopy of the volume of epidermal nuclei in thick skin sections. Anal Quant Cytol Histol 16:145-152, 1994
37. Mayhew TM, Olsen DR: Magnetic resonance imaging (MRI) and Cavalieri estimates of brain volume. J Anat 178:133-144, 1991
38. Sorensen FB: Stereological estimation of mean and variance of nuclear volume from vertical sections. J Microsc 162:203-229, 1991
39. Gundersen HJG: Stereology of arbitrary particles. A review of unbiased numbers and size estimators and the presentation of some new ones. J Microsc 143:3-45, 1986
40. Koss LG, Lin E, Schreiber K, et al: Evaluation of the PAPNET cytologic screening system for quality control of cervical smears. Am J Clin Pathol 101:220-229, 1994
41. Mathieu O, Cruz-Orive LM, Hoppeler H, et al: Measuring error and sample variation in Stereology: Comparison of the effiency of various methods for planar image analysis. J Microsc 121:75-88, 1981
42. Gerdes J, Lemke H, Baisch H, et al: Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67. J Immunol 133:1710-1715, 1984
43. Gundersen HJG, Jensen EM: Stereological estimation of the volume-weighted mean volume of arbitrary particles observed on random section. J Microsc 131:291-310, 1985
44. Humphrey PA, Vollmer RT: Intraglandular tumor extent and prognosis in prostatic carcinoma: Application of a grid method to prostatectomy specimens. HUM PATHOL 21:799-804, 1990
45. Stamey TA, McNeal JE, Freina FS, et al: Morphometric and clinical studies on 68 consecutive radical prostatectomies. J Urol 139:1235-1241, 1988
46. Epstein JI, Carmichael M, Partin AW, et al: Is tumor volume an independent predictor of progression following radical prostatectomy? J Urol 149:1478-1481, 1993
47. Cantrell BB, deKlerk DP, Eggleston JC, et al: Pathological factors that influence prognosis in stage A prostatic cancer: The influence of extent versus grade. J Urol 125:516-520, 1981
48. McNeal JE, Villers AA, Redwine EA, et al: Capsular penetration in prostate cancer: Significance for natural history and treatment. Am J Surg Pathol 14:240-247, 1990
49. Christopherson WM, Williamson EO, Gray LA: Leiomyosarcomas of the uterus. Cancer 29:1512-1517, 1972
50. Baak JP, van Diest PJ, Benraadt T, et al: The Multi-Center Morphometric Mammary Carcinoma Project (MMMCP) in The Netherlands: Value of morphometrically assessed proliferation and differentiation. J Cell Biochem Suppl 17:220-225, 1993
51. Ladekarl M: Quantitative histopathology in ductal carcinoma of the breast: Prognostic value of mean nuclear size and mitotic counts. Cancer 75:2114-2122, 1995
52. Haapasalo H, Pesonen E, Collan Y: Volume corrected mitotic index (M/V-index). The standard of mitotic activity in neoplasms. Pathol Res Pract 185:551-554, 1989
53. Quinn CM, Wright NA: The clinical assessment of proliferation and growth in human tumours: Evaluation of methods and applications as prognostic variables. J Pathol 160:93-102, 1990
54. Bigler SA, Deering RE, Brawer MK: Comparison of microscopic vascularity in benign and malignant prostate tissue. HUM PATHOL 24:220-226, 1993
55. Weidner N, Semple JP, Welch WR, et al: Tumor angiogenesis and metastasis: Correlation in invasive breast carcinoma. N Engl J Med 324:1-8, 1991
56. Bentley SA, Herman CJ: Bone marrow fibre production in myelofibrosis: A quantitative study. Br J Haematol 42:51-60, 1979
57. Huffer WE, Ruegg P, Zhu JM, et al: Semiautomated methods for cancellous bone histomorphometry using a general-purpose video image analysis system. J Microsc 173:53-66, 1994
58. Bolender RP: Correlation of morphometry and stereology with biochemical analysis of cell fractions. Int Rev Cytol 55:247, 1978
59. Ladekarl M, Boek-Hansen T, Henrik-Nielsen R, et al: Objective malignancy grading of squamous cell carcinoma of the lung. Cancer 76:797-802, 1995
60. Thunnissen FB, Diegenbach PC, van Hattum AH, et al: Further evaluation of quantitative nuclear image features for classification of lung carcinomas. Pathol Res Pract 188:531-535, 1992
61. Shum DT, Roberts JT, Smout MS, et al: The value of nuclear contour index in the diagnosis of mycosis fungoides. Cancer 57:298-304, 1986
62. Meijer CJLM, Loo EM, van der Vloten WA, et al: Early diagnosis of mycosis fungoides and Sezary's syndrome by morphometric analysis of lymphoid cells in the skin. Cancer 45:2864-2871, 1980
63. Marchevsky AM, Gil J, Jeanty H: Computerized interactive morphometry in pathology. HUM PATHOL 18:320-331, 1987
64. Diamond DA, Berry SJ, Jewett HJ, et al: A new method to assess metastatic potential of human prostate cancer: Relative nuclear roundness. J Urol 128:729, 1982
65. Cross SS: The application of fractal geometric analysis to microscopic images. Micron 25:101-113, 1994
66. Mandelbrot BB: How long is the coastline of Britain?: Statistical self-similarity and fractional dimension. Science 156:636-638, 1967
67. Keough KMW, Hyam P, Pink DA, et al: Cell surfaces and fractal dimensions. J Microsc 163:95-99, 1991
68. Hennig A, Elias H: A rapid method for the visual determination of size and distribution of spheres from the size distribution of their sections. J Microsc 93:101-107, 1970
69. Cornelisse CJ, Bots GTAM, Wintzen AR, et al: Real time morphometric analysis of type I and type II fibres in cryostat sections of human muscle biopsies. Pathol Res Pract 166:218-238, 1980
70. Erler BS, Hsu L, Truong HM, et al: Image analysis and diagnostic classification of hepatocellular carcinoma using neural networks and multivariate discriminant functions. Lab Invest 71:446-451, 1994
71. Astion ML, Wilding P: The application of backpropagation neural networks to problems in pathology and laboratory medicine. Arch Pathol Lab Med 116:995-1001, 1192
72. Dytch HE, Wied GL: Artificial neural networks and their use in quantitative pathology. Anal Quant Cytol Histol 12:379-393, 1990
73. Mango LJ: Computer-assisted cervical cancer screening using neural networks. Cancer Lett 77:155-162, 1994
74. Dawson AE, Austin RE, Weinberg DS: Nuclear grading of breast carcinoma by image analysis: Classification by multivariate and neural network analysis. Am J Clin Pathol 95:S29-S37, 1991
75. Wied GL, Bartels PH, Dytch HE, et al: Diagnostic marker features in dysplastic cells from uterine cervix. Acta Cytol 26:475-483, 1982
76. Objectivity in pathology. Lancet 1:288-289, 1976 (editorial)
77. Hutchinson ML, Cassin CM, Bull HG III: The efficacy of an automated preparation device for cervical cytology. Am J Clin Pathol 96:300-305, 1991
78. Bartoo GT, Lee JS, Bartels PH, et al: Automated prescreening of conventionally prepared cervical smears: A feasibility study. Lab Invest 66:116-122, 1992
79. Banda-Gamboa H, Ricketts I, Cairns A, et al: Automation in cervical cytology: An overview. Anal Cell Pathol 4:25-48, 1992
80. DeCresce RP, Lifshitz MS: PAPNET cytological screening system. Lab Med 22:276-280, 1991
81. Boon ME, Nygaard-Nielsen M, Holm K, et al: Neural network processing of cervical smears can lead to a decrease in diagnostic variability and an increase in screening efficacy: A study of 63 false-negative smears. Mod Pathol 7:957, 1994
82. Ashfaq R, Liang Y, Saboorian MH: Evaluation of PAPNET system for rescreening of negative cervical smears. Diagn Cytopathol 13:31-36, 1995
83. Slagel DD, Zaleski S, Cohen MB: Efficacy of automated cervical cytology screening. Diagn Cytopathol 13:26-30, 1995
84. Palcic B, MacAulay C, Shlien S, et al: Comparison of three different methods for automated classification of cervical cells. Anal Cell Pathol 4:429-441, 1992
85. Wied GL: Clinical cytology: Past, present, future. Beitr Onkol 38:1-58, 1990
86. Koss LG, Bartels PH, Sychra JJ, et al: Diagnostic cytologic sample profiles in patients with bladder cancer using TICAS system. Acta Cytol 22:392-397, 1978
87. Giuliano KA, Taylor DL: Fluorescent actin analogs with a high affinity for profilin in vitro exhibit an enhanced gradient of assembly in living cells. J Cell Biol 124:71-83, 1994
88. Emmerich P, Loos P, Jauch A, et al: Double in situ hybridization in combination with digital image analysis: A new approach to study interphase chromosome topography. Exp Cell Res 181:126-140, 1989
89. van Velthoven R, Petein M, Oosterlinck WJ, et al: The use of digital image analysis of chromatin texture in feulgen-stained nuclei to predict recurrence of low grade superficial transitional cell carcinoma of the bladder. Cancer 75:560-568, 1995
90. Remmelink M, Salmon I, Petein M, et al: Computer-assisted quantitative description of chromatin pattern in soft tissue tumors of the adult. Am J Clin Pathol 102:780-787, 1994
91. Sadi MV, Barrack ER: Image analysis of androgen receptor immunostaining in metastatic prostate cancer. Cancer 71:2574-2580, 1993
92. Sklarew RJ, Bodmer SC, Pertschuk LP: Quantitative imaging of immunocytochemical (PAP) estrogen receptor staining patterns in breast cancer sections. Cytometry 11:359-378, 1990
93. O'Leary TJ, Mikel UV, Becker RL: Computer-assisted image interpretation: Use of a neural network to differentiate tubular carcinoma from sclerosing adenosis. Mod Pathol 5:402-408, 1992
94. Simpson JF, Dutt PL, Page DL: Expression of mitoses per thousand cells and cell density in breast carcinomas: A proposal. HUM PATHOL 23:608-611, 1992
95. Laroye GJ, Minkin S: The impact of mitotic index on predicting outcome in breast carcinoma: A comparison of different counting methods in patients with different lymph node status. Mod Pathol 4:456-460, 1991
96. Ostrowski ML, Chakraborty S, Laucirica R, et al: Quantitative image analysis of MIB-1 immunoreactivity: A comparison with flow cytometric assessment of proliferative activity in invasive carcinoma of the breast. Anal Quant Cytol Histol 17:15-24, 1995
97. Visscher DW, Smilanetz S, Drozdowicz S, et al: Prognostic significance of image morphometric microvessel enumeration in breast carcinoma. Anal Quant Cytol Histol 15:88-92, 1993
98. Baak JPA, Persijn JP: In search for the best qualitative microscopical or morphometrical predictor of oestrogen receptor in breast cancer. Pathol Res Pract 178:307-314, 1984
99. Warhol MJ, Corson JM: An ultrastructural comparison of mesotheliomas with adenocarcinomas of the lung and breast. HUM PATHOL 16:50-55, 1985
100. Shahab I, Fraire AE, Greenberg SD, et al: Morphometric quantitation of tumor necrosis in stage 1 non-small cell carcinoma of lung: Prognostic implications. Mod Pathol 5:521-524, 1992
101. Capelozzi VL, Battlehner CN, Montes GS, et al: Volume fraction of dense-core granules correlates strongly with survival in disseminated (stage IV) neuroendocrine cell carcinomas of the lung of the well differentiated and small cell subtypes. Pathol Res Pract 189:1145-1148, 1993
102. Panayiotides J, Protopapa E, Delides GS: Nuclear morphometry as a prognostic factor in laryngeal squamous cell carcinomas: Preliminary study. Zentralbl Pathol 139:221-224, 1993
103. Cagle PT, Langston C, Fraire AE, et al: Absence of correlation between nuclear morphometry and survival in stage I non-small cell lung carcinoma. Cancer 69:2454-2457, 1992
104. Kwee WS, Veldhuizen RW, Golding RP, et al: Histologic distinction between malignant mesothelioma, benign pleural lesion and carcinoma metastasis: Evaluation of the application of morphometry combined with histochemistry and immunostaining. Virchows Arch A Pathol Anat 397:287-299, 1982
105. Kodama T, Biyajima S, Watanabe S, et al: Morphometric study of adenocarcinomas and hyperplastic epithelial lesions in the peripheral lung. AmJ Clin Pathol 85:146-151, 1986
106. Ryoo JW, Buschmann RJ: Morphometry of liver parenchyma in needle biopsy specimens from patients with alcoholic liver disease: Preliminary variables for the diagnosis and prognosis of cirrhosis. Mod Pathol 2:382-389, 1989
107. Weger AR, Lindholm J, Glaser K, et al: Morphometry and prognosis in cancer of the pancreatic head. Pathol Res Pract 188:764-769, 1992
108. Heimann TM, Cohen RD, Szporn A, et al: Correlation of nuclear morphometry and DNA ploidy in rectal cancer. Dis Colon Rectum 34:449-454, 1991
109. Artacho-P'erula E, Rold'an-Villalobos R, Mart'inez-Cuevas JF, et al: Nuclear quantitative grading by discriminant analysis of renal cell carcinoma samples. J Pathol 173:105-114, 1994
110. Blomjous CE, Vos W, Schipper NW, et al: The prognostic significance of selective nuclear morphometry in urinary bladder carcinoma. HUM PATHOL 21:409-413, 1990
111. Lipponen P: The changing importance of prognostic factors in bladder cancer during a long-term follow-up. Eur J Cancer 29:1261-1265, 1993
112. Nielsen K, Orntoft T, Wolf H: Stereologic estimates of nuclear volume in noninvasive bladder tumors (Ta) correlated with recurrence pattern. Cancer 64:2269-2274, 1989
113. Sasaki M, Sorenson FB, Fukuzawa S, et al: Quantitative histopathology in the prognostic evaluation of patients with transitional cell carcinoma of the urinary bladder. Cancer 72:2470-2483, 1993
114. Khan TN, Sinniah R: Morphometric study showing the importance of distal tubular damage in impaired creatinine clearance. Am J Nephrol 13:178-183, 1993
115. Sawai T, Murakami K, Kurasono Y: Morphometric analysis of the kidney lesions in mixed connective tissue disease (MCTD). Tohoku J Exp Med 174:141-154, 1994
116. Bhathena DB: Glomerular size and the association of focal glomerulosclerosis in long-surviving human renal allografts. J Am Soc Nephrol 4:1316-1326, 1993
117. Terris MK, McNeal JE, Stamey TA: Detection of clinically significant prostate cancer by transrectal ultrasound-guided systematic biopsies. J Urol 148:829-832, 1992
118. Foucar E, Haake G, Dalton L, et al: The area of cancer in transurethral resection specimens as a prognostic indicator in carcinoma of the prostate: A computer-assisted morphometric study. HUM PATHOL 21:586-592, 1990
119. Wakui S, Furusato M, Itoh T, et al: Tumor angiogenesis in prostatic carcinoma with and without bone marrow metastasis: A morphometric study. J Pathol 168:257-262, 1992
120. Nielsen K, Berild GH, Bruun E, et al: Stereological estimation of mean nuclear volume in prostatic cancer, the reproducibility and the possible value of estimations on repeated biopsies in the course of disease. J Microsc 154:63-69, 1989
121. Bostwick DG, Graham SD, Dapalkov P, et al: Staging of early prostate cancer: A proposed tumor volume-based prognostic index. Urology 41:403-411, 1993
122. Mohler JL, Figlesthaler WM, Zhang XZ, et al: Nuclear shape analysis for the assessment of local invasion and metastases inclinically localized prostate carcinoma. Cancer 74:2996-3001, 1994
123. Petein M, Michel P, van Velthoven R, et al: Morphonuclear relationship between prostatic intraepithelial neoplasia and cancers as assessed by digital cell image analysis. Am J Clin Pathol 96:628-634, 1991
124. Minimo C, Galera-Davidson H, Xiao J, et al: Importance of different nuclear morphologic patterns in grading prostatic adenocarcinoma: An expanded model for computer graphic filters. Anal Quant Cytol Histol 16:307-314, 1994
125. DeLellis RA, Wolfe HJ, Gagel RF, et al: Adrenal medullary hyperplasia: Amorphometric analysis in patients with familial medullary thyroid carcinoma. Am J Pathol 83:177-196, 1976
126. Collin F, Salmon I, Rahier I, et al: Quantitative nuclear cell image analyses of thyroid tumors from archival material. HUM PATHOL 22:191-196, 1991
127. Nafe R, Fritsch RS, Soudah B, et al: Histomorphometry in paraffin sections of thyroid tumors. Pathol Res Pract 188:1042-1048, 1992
128. Swerdlow SH, Pelstring JR, Collins RD: Morphometric analysis of follicular center cell lymphomas. Am J Pathol 137:953-963, 1990
129. Swerdlow SH, Saboorian MH, Pelstring RJ, et al: Centrocytic lymphoma: A morphometric study with comparison to other small cleaved follicular center cell lymphomas and genotypic correlates. Am J Pathol 142:329-337, 1993
130. Losa GA, Baumann G, Nonnenmacher TF, et al: Fractal dimensions of pericellular membranes in human lymphocytes and lymphoblastic leukemia cells. Pathol Res Pract 188:680-686, 1992
131. Olah AJ: Effects of microscopic resolution on histomorphometrical estimates of structural and remodeling parameters in cancellous bone. Pathol Res Pract 166:312-322, 1980
132. Remmelink M, Salmon I, Petein M, et al: Computer-assisted quantitative description of chromatin pattern in soft tissue tumors of the adult. Am J Clin Pathol 102:780-787, 1994
133. Becker RL Jr., Venzon D, Lack EE, et al: Cytometry and morphometry of malignant fibrous histiocytoma of the extremities: Prediction of metastasis and mortality. Am J Surg Pathol. 15:957-964, 1991
134. Rosen GD, Harry JD: Brain volume estimation from serial section measurements: A comparison of methodologies. J Neurosci Methods 35:115-124, 1990
135. Bolender RP, Charleston JS: Software for counting cells and estimating structural volumes with the optical dissector and fractionator. Microscopy Res Tech 25:314-324, 1993
136. West MJ: Regionally specific loss of neurons in the aging human hippocampus. Neurobiol Aging 14:287-293, 1993
137. Pakkenberg B, Evans SM, Moller A, et al: Total numbers of neurons in human neocortex related to age and sex estimated by way of optical disectors. Acta Stereol 8:251-256, 1989
138. Buttner P, Garbe C, Bertz J, et al: Primary cutaneous melanoma: Optimized cutoff points of tumor thickness and importance of dark's level for prognostic classification. Cancer 75:2499-2506, 1995
139. Claridge E, Hall PN, Keefe M, et al: Shape analysis for classification of malignant melanoma. J Biomed Eng 14:229-234, 1992
140. Sorensen FB: Objective histopathologic grading of cutaneous melanomas by stereologic estimation of nuclear volume: Prediction of survival and disease-free period. Cancer 63:1784-1798, 1989
141. Silverberg SG: Reproducibility of the mitosis count in the histologic diagnosis of smooth muscle tumors of the uterus. HUM PATHOL 7:451-454, 1976
142. Laroye GJ, Minkin S: The impact of mitotic index on predicting outcome in breast carcinoma: A comparison of different counting methods in patients with different lymph node status. Mod Pathol 4:456-460, 1991
143. Crocker J, Boldy DAR, Egan MJ: How should we count AgNORs? Proposals for a standardized approach. J Pathol 158:185-188, 1989
144. Cross SS, Cotton DWK, Underwood JCE: Measuring fractal dimensions: Sensitivity to edge-processing functions. Anal Quant Cytol Histol 16:375-379, 1994
145. Rigaut JP: An empirical formulation relating boundary lengths to resolution in specimens showing "non-ideally fractal" dimensions. J Microsc 133:41, 1984
146. Kim D, Charlton JD, Coggins JM, et al: Semiautomated nuclear shape analysis of prostatic carcinoma and benign prostatic hyperplasia. Anal Quant Cytol Histol 16:400-414, 1994
147. Willemse F, Nap M, Henzen-Logmans SC, et al: Quantification of area percentage of immunohistochemical staining by true color image analysis with application of fixed thresholds. Anal Quant Cytol Histol 16:357-364, 1994
148. Bolender RP, Charleson J, Mottet K, et al: Quantitative morphology of the nervous system: Expanding horizons. Anat Rec 231:407-415, 1991
149. Bullough WS: Mitotic activity in the tissue of dead mice, and in tissues kept in physiological salt solution. Exp Cell Res 1:410-420, 1950
150. Herman CJ, Lapham LW: Differential effects of tissue processing on tetraploid neurons as compared with diploid neurons and glia. Brain Res 54:43-50, 1973
151. Ladekarl M: The influence of tissue processing on quantitative histopathology in breast cancer. J Microsc 174:93-100, 1994
152. Haug H: History of neuromorphometry. J Neurosci Methods 18:1-17, 1986
153. Coggeshall RE: A consideration of neural counting methods. Trends Neurosci 15:9-13, 1992
154. Battifora H, Kopinski M: The influence of protease digestion and duration of fixation on the immunostaining of keratins: A comparison of formalin and ethanol fixation. J Histochem Cytochem 34:1095-1100, 1986
155. Griffiths AP, Butjer CW, Roberts P, et al: Silver-stained structures (AgNORs), their dependence on tissue fixation and absence of prognostic relevance in rectal adenocarcinoma. J Pathol 159:121, 1989
156. Cross SS, Howat AJ, Stephenson TJ, et al: Author's reply to letter to the editor: The method of calculating fractal dimension. J Pathol 175:462, 1995
157. Qing G: Letter to the editor: The method of calculating fractal dimension. J Pathol 175:461, 1995
158. Cornelisse JTWA: Profile boundary length can be overestimated by as much as 41% when using a digitizer tablet. J Microsc 136:341-344, 1984
159. Fleege JC, Baak JP, Smeulder AW: Analysis of measuring system parameters that influence reproducibility of morphometric assessments with a graphic tablet. HUM PATHOL 19:513-517, 1988
160. Dhingra K, Sneige N, Pandita TK, et al: Quantitative analysis of chromosome in situ hybridization signal in paraffin-embedded tissue sections. Cytometry 16:100-112, 1994
161. True LD: Quantitative immunohistochemistry: A new tool for surgical pathology? AmJ Clin Pathol 90:324-325, 1988
162. Gross DS, Rothfeld JM: Quantitative immunocytochemistry of hypothalamic and pituitary hormones: Validation of an automated, computerized image analysis system. J Histochem Cytochem 33:11-20, 1985
163. Dunhill MS: Evaluation of a simple method of sampling the lung for quantitative histological analysis. Thorax 19:443-448, 1964
164. Fleege JC, van Diest PJ, Baak JP: Systematic random sampling for selective interactive nuclear morphometry in breast cancer sections: Refinement and multiobserver evaluation. Anal Quant Cytol Histol 15:281-289, 1993
165. West MJ, Slomianka L, Gundersen HJG: Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator. Anat Rec 231:482-497, 1991
166. Kempson RL: Mitosis counting. HUM PATHOL 7:482-483, 1976 (editorial)
167. van Diest PJ, Baak JPA, Matze Cok P, et al: Reproducibility of mitosis counting in 2469 breast cancer specimens: Results from the Multicenter Morphometric Mammary Carcinoma Project (MMMCP). HUM PATHOL 23:605-607, 1992
168. Hopman AH, van Hooren E, van de Kaa CA, et al: Detection of numerical chromosome aberrations using in situ hybridization in paraffin sections of routinely processed bladder cancers. Mod Pathol 4:503-513, 1991
169. Macoska JA, Micale MA, Sakr WA, et al: Extensive genetic alterations in prostate cancer revealed by dual PCR and FISH analysis. Genes Chromosomes Cancer 8:88-97, 1993
170. Cross SS, Cotton DWK; The fractal dimension may be a useful morphometric discriminant in histopathology. J Pathol 166:409-411, 1992
171. Cross SS, Bury JP, Silcocks PB, et al: Fractal geomaetric analysis of colorectal polyps. J Pathol 172:317-323, 1994
172. Humphrey PA: Complete histologic serial sectioning of a prostate gland with adenocarcinoma. Am J Surg Pathol 17:468-472, 1993
173. Alberts B, Bray D, Lewis J, et al: front illustration to chapter "Energy conversion: Mitochondria and chloroplasts," in Molecular Biology of the Cell (ed 1). New York, NY, Garland Publishing, 1983, p 482
174. Kuchinka BD, Kalousek DK, Lomax BL, et al: Interphase cytogenetic analysis of single cell suspensions prepared from previously formalin-fixed and paraffin-embedded tissues. Mod Pathol 8:183-186, 1995
175. Gundersen HJG, Bendtsen TF, Korbo L, et al: Some new, simple and efficient stereological methods and their use in pathological research and diagnosis. APMIS 96:379-394, 1988
176. Mohler JL, Metts JC, Zhang X-Z, et al: Nuclear morphometry in automatic biopsy and radical prostatectomy specimens of prostatic carcinoma: A comparison. Anal Quant Cytol Histol 16:415-420, 1994
177. Gundersen HJG, Osterby R: Optimizing sampling efficiency of stereological studies in biology: or, 'Do more less well.' J Microsc 121:65, 1981
178. Shay J: Economy of effort in electron microscope morphometry. Am J Pathol 81:503, 1975
179. Metz CE: Basic principles of ROC analyses. Semin Nucl Med 8:283-298, 1978
180. Carr I, Pettigrew N: Will a tumor metastasize? Quantitate, semi-quantitate or pseudo-quantitate? A brief review of the microscopic prediction of tumor metastasis. Int J Clin Lab Res 22:129-132, 1992
181. Ravdin PM, Clark GM: A practical application of neural network analysis for predicting outcome of individual breast cancer patients. Breast Cancer Res Treat 22:285-293, 1992
182. DeLellis RA: Multiple endocrine neoplasia syndromes revisited. Lab Invest 72:494-505, 1995
183. Wolberg WH, Tanner MA, Loh WY: Diagnostic schemes for fine needle aspirates of breast masses. Anal Quant Cytol Histol 10:225, 1988
184. Wolberg WH, Tanner MA, Loh WY, et al: Statistical approach to fine needle aspiration diagnosis of breast masses. Acta Cytol 31:737, 1987
185. Wolberg WH, Mangasarian OL: Computer-aided diagnosis of breast aspirates via expert systems. Anal Quant Cytol Histol 12:313, 1990
186. Burke HB: Artificial neural networks for cancer research: Outcome prediction. Semin Surg One 10:73-79, 1994
187. Nafe R, Choritz H: Introduction of a neuronal network as a tool for diagnostic analysis and classification based on experimental pathologic data, Exp Toxicol Pathol 44:17-24, 1992
188. Thompson D, Bartels PH, Bartels, et al: Knowledge-based segmentation of colorectal histologic imagery. Anal Quant Cytol Histol 15:236-246, 1993
189. Weibel ER: Fractal geometry: A design principle for living organisms. Am J Physiol 261:L361-L369, 1991
190. Morse DR, Lawton JH, Dodson MM, et al: Fractal dimension of vegetation and the distribution of arthropod body lengths. Nature 314:731-733, 1985
191. Barnsley MF, Massopust P, Strickland H, et al: Fractal modeling of biological structures. Ann NY Acad Sci 504:179-194, 1987
192. Cross SS, Start RD, Silcocks PB, et al: Quantisation of the renal arterial tree by fractal analysis. J Pathol 170:479-484, 1993
193. Landini G, Rippin JW: Fractal dimensions of the epithelial-connective tissue interfaces in premalignant and malignant epithelial lesions of the floor of the mouth. Anal Quant Cytol Histol 15:144-149, 1993
194. Cross SS, Rogers S, Silcocks PB, et al: Trabecular bone does not have a fractal structure on light microscopic examination. J Pathol 170:311-313, 1993