Computer-assisted image analysis can aid the prognostication of advanced-stage neuroblastomas
| Autor: | I. Misselevich, Jorge G. Mogilner, S. Eldar, D. Ben Yizhak, A. Brodski, Z. Steiner, J. H. Boss, J. Bejar, A. Kuten, E. Sabo, R. Laor, V. Kerner, M. Hassoun, M. Ben Harush, Dina Attias |
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| Rok vydání: | 2000 |
| Předmět: |
Male
Cancer Research medicine.medical_specialty Pathology Nuclear area Adrenal Gland Neoplasms Mediastinal Neoplasms Disease-Free Survival Computer assisted image analysis Neuroblastoma Predictive Value of Tests medicine Image Processing Computer-Assisted Humans Retroperitoneal Neoplasms Stage (cooking) Israel Child Survival analysis Pelvic Neoplasms business.industry Advanced stage Age Factors Infant Newborn Infant General Medicine medicine.disease Prognosis Survival Analysis Logistic Models Oncology Head and Neck Neoplasms Predictive value of tests Child Preschool Histopathology Female Radiology business |
| Zdroj: | Journal of cancer research and clinical oncology. 126(5) |
| ISSN: | 0171-5216 |
| Popis: | Purpose: The aim of this work was to detect nuclear parameters related to the prognosis of patients with stage III, IV or DS neuroblastomas. Methods: Histological sections of 25 operation specimens obtained from children with advanced-stage neuroblastomas were subjected to computer-assisted image analysis. Statistical relationships between nuclear descriptors of the tumor cells and patients' clinical outcome were determined. Results: The coefficient of variability of the mean nuclear area the mean nuclear elongation factor, and the mean nuclear averaged Feret diameter of the neuroblastoma cells were ascertained to be discriminators separating high-grade from low-grade tumors. Conclusions: The histomorphometrically gauged nuclear parameters may help oncologists to assess the prognosis of patients with advanced-stage neuroblastoma. |
| Databáze: | OpenAIRE |
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