A computer-aided method to expedite the evaluation of prognosis for childhood acute lymphoblastic leukemia

Technology in Cancer Research and Treatment

Volumn 5, Issue 4, 2006, Pages 429-436

  Wang, Xingwei ^a   Li, Shibo ^c   Liu, Hong ^a   Mulvihill, John J ^c   Chen, Wei ^d   Zheng, Bin ^b  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

^c University of Oklahoma Medical Center   (United States)

^d UNIVERSITY OF CENTRAL OKLAHOMA   (United States)

Author keywords

Acute Lymphoblastic Leukemia (ALL); Chromosome analysis; Evaluation of prognosis; Metaphase chromosomes

Indexed keywords

DNA;

ACUTE LYMPHOBLASTIC LEUKEMIA; ALGORITHM; ARTICLE; CASE REPORT; CHILDHOOD LEUKEMIA; CHROMOSOME ANALYSIS; CHROMOSOME NUMBER; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; CYTOGENETICS; DIAGNOSTIC ACCURACY; HUMAN; METAPHASE CHROMOSOME; PREDICTION; PROGNOSIS;

EID: 33748074152     PISSN: 15330346     EISSN: None     Source Type: Journal    
DOI: 10.1177/153303460600500411     Document Type: Article

References (32)

1. A. M. Friedmann, H. J. Weinstein. The Role of Prognostic Features in the Treatment of Childhood Acute Lymphoblastic Leukemia. The Oncologists, 321-328 (2000).
2. V. Conter, C. Rizzari, A. Sala, R. Chiesea, M. Citterio, A. Biondi. Acute Lymphoblastic Leukemia. Orphanet Encyclopedia. December 2004. http://www.orpha.net/data/patho/GB/uk-ALL.pdf
3. E. Olah, E. Balogh, P. Kajtar, L. Pajor, Z. Jakab, C. Kiss. Diagnostic and Prognostic Significance of Chromosome Abnormalities in Childhood Acute Lymphoblastic Leukemia. Ann. NY Acad. Sci. 824, 8-27 (1997).
4. W. L. Carroll, D. Bhojwani, D. J. Min, E. Raetz, M. Relling, S. Davies, J. R. Downing, C. L. Willman, J. C. Reed. Pediatric Acute Lymphoblastic Leukemia. Hematology 2003, 102-31 Review.
5. G. Al-Harbi, H. El-Solh, A. Al-Nasser, S. Khalil, et al. DNA Index in Childhood Acute Lymphoblastic Leukemia: Correlation with Other Prognostic Factors, Pediatric Oncology. 2000 ASCO Annual Meeting.
6. V. M. Whitehead, M. J. Vuchich, S. J. Lauer, D. Mahoney, A. J. Carroll, Shuster J. J., D. W. Esseltine, C. Payment, A. T. Look, J. Akabutu, et al. Accumulation of High Levels of Methotrexate Polyglutamates in Lymphoblasts From Children with Hyperdiploid (Greater than 50 Chromosomes) B-lineage Acute Lymphoblastic Leukemia: A Pediatric Oncology Group Study. Blood 80, 1316-1323 (1992).
7. D. L. Williams, A. Tsiatis, G. M. Brodeur, A. T. Look, S. L. Melvin, W. P. Bowman, D. K. Kalwinsky, G. Rivera, G. V. Dahl. Prognostic Importance of Chromosome Number in 136 Untreated Children with Acute Lymphoblastic Leukemia. Blood 60, 864-871 (1982).
8. L. M. Seeker-Walker, G. J. Swansbury, R. M. Hardisty, S. E. Sallan, O. M. Carson, M. Sakurai, S. D. Lawler. Cytogenetics of Acute Lymphoblastic Leukemia in Children as a Factor in the Prediction of Long-term Survival. Br. J. Haemato. 52, 389-399 (1982).
9. C. D. Bloomfield, L. M. Seeker-Walker, A. I. Goldman, Van Den, H. Berghe, A. de la Chapelle, T. Ruutu, G. Alimena, O. M. Carson, H. M. Golomb, J. D. Rowley, Y. Kaneko, J. Whang-Peng, E. Prigogina, P. Philip, A. A. Sandberg, S. D. Lawler, F. Mitelman. Six-year Follow-up of the Significance of Karyotype in Acute Lymphoblastic Leukemia. Cancer Genet. Cytogenet. 40, 171-185 (1989).
10. A. T. Look, S. L. Melvin, S. L. Williams, G. M. Brodeur, G. V. Dahl, D. K. Kalwinsky, S. B. Murphy, A. M. Mauer. Aneuploidy and Percentage of S-phase Cells Determined by Flow Cytometry Correlate with Cell Phenotype in Childhood Acute Leukemia. Blood 60, 959-967 (1982).
11. A. T. Look, P. K. Roberson, D. L. Williams, G. Rivera, W. P. Bowman, C. H. Pui, J. Ochs, M. Abromowitch, D. Kalwinsky, G. V. Dahl, S. George, S. B. Murphy. Prognostic Importance of Blast Cell DNA Content in Childhood Acute Lymphoblastic Leukemia. Blood 65, 1079-1086 (1985).
12. L. A. Smets, J. Homan-Blok, A. Hart, G. de Vaan, H. Behrendt, K. Hahlen, F. J. de Waal. Prognostic Implication of Hyperdiploidy as Based on DNA Flow Cytometric Measurement in Childhood Acute Lymphocytic Leukemia-A Multicenter Study. Leukemia 1, 163-166 (1987).
13. R. Trueworthy, J. Shuster, T. Look, W. Crist, M. Borowitz, A. Carroll, L. Frankel, M. Harris, H. Wagner, M. Haggard, A. Mosijczuk, J. Pullen, P. Steuber, V. Land. Ploidy of Lymphoblasts is the Strongest Predictor of Treatment Outcome in B-progenitor Cell Acute Lymphoblastic Leukemia of Childhood: A Pediatric Oncology Group Study. Journal of Clinical Oncology 10, 606-613 (1992).
14. C. H. Pui, W. M. Crist. High Risk Lymphoblastic Leukemia in Children: Prognostic Factors and Management. Blood Rev. 1, 25-33 (1987).
15. C. H. Pui, D. L. Williams, S. C. Raimondi, G. K. Rivera, A. T. Look, R. K. Dodge, S. L. George, F. G. Behm, W. M. Crist, S. B. Murphy. Hypodiploidy is Associated with a Poor Prognosis in Childhood Acute Lymphoblastic Leukemia. Blood 70, 247-253 (1987).
16. X. Wang, B. Zheng, M. Wood, S. Li, W. Chen, H. Liu. Development and Evaluation of Automated Systems for Detection and Classification of Banded Chromosomes: Current Status and Future Perspectives. J. Phys. D: Appl. Phys. 38, 2536-2542 (2005).
17. J. Piper, E. Granum, D. Rutovitz, H. Ruttledge. Automation of Chromosome Analysis. Signal Processing 2, 203-221 (1980).
18. J. Liang, J. Piper, J. Y. Tang. Erosion and Dilation of Binary Images by Arbitrary Structuring Elements Using Interval Coding. Pattern Recognition Letters 9, 201-209 (1989).
19. A. M. Vossepoel. Separation of Touching Chromosomes Chapter in Automation of Cytogenetics, pp. 205-216. Eds., C. Lundsteen, J. Piper. Springer-Verlag, Berlin (1989).
20. J. Liang. Intelligent Splitting in the Chromosome Domain. Pattern Recognition 22, 519-532 (1989).
21. J. Graham. Resolution of Composites In Interactive Karyotyping, Chapter in Automation of Cytogenetics , pp. 191-203. Eds., C. Lundsteen, J. Piper. Springer-Verlag, Berlin (1989).
22. A. M. Vossepoel. Separation of Touching Chromosomes, In Automation of Cytogenetics, pp. 205-216. Eds., C. Lundsteen, J. Piper. Springer-Verlag, Berlin (1989).
23. Q. Wu, J. Snellings, L. Amory, P. Suetens, A. Oosterlinck. Model-based Contour Analysis in a Chromosome Segmentation System, In Automation of Cytogenetics, pp. 217-229. Eds., C. Lundsteen, J. Piper. Springer-Verlag, Berlin (1989).
24. A. Carothers, J. Piper. Computer-aided Classification of Human Chromosomes: A Review. Stat. Comput. 4, 161-171 (1994).
25. J. Graham, J. Piper. Automatic Karyotype Analysis, Chapter In Methods in Molecular Biology: Chromosome Analysis Protocols, Vol. 29, pp, 141-186. Ed., J. R. Gosden. Totowa, Humana Press Inc. (1994).
26. G. Agam, I. Dinstein. Geometric Separation of Partially Overlapping Nonrigid Objects Applied to Automatic Chromosome Classification. IEEE Trans Pattern Analysis and Machine Intelligence 19, 1212-1222 (1997).
27. M. Popescu, P. Gader, J. Keller, C. Klein, et al. Automatic Karyotyping of Metaphase Cells with Overlapping Chromosomes. Comput. Biol. Med. 29, 61-82 (1999).
28. W. Schwartzkopf, B. L. Evans, A. C. Bovik. Minimum Entropy Segmentation Applied to Multi-spectral Chromosome Images. 2001 International Conference on Image Processing 2, 865-868 (2001).
29. J. Liang. Fully Automatic Chromosome Segmentation. Cytometry 17, 196-208 (1994).
30. R. Jain, R. Kasturi, B. G. Schunck. Machine Vision. McGraw-Hill, Inc., New York, NY (1995).
31. X. Wang, S. Li, H. Liu, M. Wood, W. Chen, B. Zheng. A Computerized Method to Segment and Classify Metaphase Chromosomes. Submitted to Compt. Biol. Med. (2005).
32. B. Lerner. Toward a Completely Automatic Neural-network-based Human Chromosome Analysis. IEEE Trans Systems, Man, and Cybernetics - Part B: Cybernetics 28, 544-552 (1998).