Literature DB >> 8699229

A grading study of gliomas using computer aided malignancy classification and histologic morphometry.

S Sharma1, A K Karak, C Sarkar, G Gomathy, A K Banerji, H P Schmitt.   

Abstract

Forty three cases of astrocytic tumors and mixed gliomas were studied with the aim of evaluating the reproducibility of the Kernohan grading system vis a vis (a) grading using computer-aided malignancy classifier TESTAST 268 and (b) grading by quantitative morphometric evaluation of the various histological parameters of TESTAST 268. These patients were then followed up for variable periods with a maximum of forty months. High inter and intra-observer variability were observed in the Kernohan grading system. TESTAST 268 was found to be simpler, rapid and more reproducible. However, one drawback observed of this system was that it did not completely eliminate inter-observer variability because there was still some subjectivity in assignment of the categorical values against the histological features. Morphometric evaluation of the semi-quantitative assignment values of the 4 histological variables in the TESTAST 268 classifier using Zeiss Morphomat-30 revealed a statistically significant difference between the clusters of the measured quantitative values. A repeat grading using TESTAST 268 and categorical assignment values of histological features derived from the absolute values obtained by morphometry resulted in complete elimination of inter-observer variability. Thus, this study highlights the importance of objectivisation using TESTAST 268 and histologic morphometry in the grading of gliomas. However, since this is a preliminary study on a small number of cases, no cut off values of these measurements have been proposed.

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Year:  1996        PMID: 8699229     DOI: 10.1007/bf00146087

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  38 in total

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Authors:  H Budka
Journal:  Acta Neurochir (Wien)       Date:  1975       Impact factor: 2.216

2.  Computer-aided classification of malignancy in astrocytomas. I. The value of nuclear parameters obtained by automated black and white image analysis.

Authors:  H P Schmitt; C Oberwittler; L R Schad
Journal:  Anal Cell Pathol       Date:  1992-11       Impact factor: 2.916

3.  INTRACRANIAL EPENDYMOMAS: FACTORS INFLUENCING PROGNOSIS.

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Journal:  J Neurosurg       Date:  1964-01       Impact factor: 5.115

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Authors:  S J Mork; A C Loken
Journal:  Cancer       Date:  1977-08       Impact factor: 6.860

5.  Malignant glial tumours: prognostic value of quantitative microscopy.

Authors:  M Scarpelli; R Montironi; Y Collan; S Sisti; V Carletti; P Criante; E Piscani; I Papo; G M Mariuzzi
Journal:  Neurochirurgia (Stuttg)       Date:  1989-09

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Authors:  B Weir; M Grace
Journal:  Can J Neurol Sci       Date:  1976-02       Impact factor: 2.104

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Authors:  C Daumas-Duport; B Scheithauer; J O'Fallon; P Kelly
Journal:  Cancer       Date:  1988-11-15       Impact factor: 6.860

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Authors:  S J Mørk; T B Halvorsen; K F Lindegaard; G E Eide
Journal:  J Neuropathol Exp Neurol       Date:  1986-01       Impact factor: 3.685

9.  Supratentorial lobar ependymomas: reports on the grading and survival periods in 80 cases, including 46 recurrences.

Authors:  D Afra; W Müller; F Slowik; O Wilcke; H Budka; L Turoczy
Journal:  Acta Neurochir (Wien)       Date:  1983       Impact factor: 2.216

10.  Classifications of childhood brain tumors.

Authors:  F H Gilles
Journal:  Cancer       Date:  1985-10-01       Impact factor: 6.860

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  3 in total

1.  A comparative survival evaluation and assessment of interclassification concordance in adult supratentorial astrocytic tumors.

Authors:  A K Karak; R Singh; P N Tandon; C Sarkar
Journal:  Pathol Oncol Res       Date:  2000       Impact factor: 3.201

2.  Angiogenic patterns and their quantitation in high grade astrocytic tumors.

Authors:  Suash Sharma; Mehar C Sharma; Deepak Kumar Gupta; Chitra Sarkar
Journal:  J Neurooncol       Date:  2006-06-29       Impact factor: 4.130

3.  A correlative study of gliomas using in vivo bromodeoxyuridine labeling index and computer-aided malignancy grading.

Authors:  S Sharma; A K Karak; R Singh; V S Mehta; C Sarkar; H P Schmitt
Journal:  Pathol Oncol Res       Date:  1999       Impact factor: 3.201

  3 in total

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