Abstract
Purpose: Cytomorphometric analysis of uveal melanoma has focused on nucleolar characteristics, although nuclear measurements are easier and more reproducible. In this study, we examine a restricted set of nuclear and nucleolar cytomorphometric variables in the search for the most quantifiable and reproducible prognostic parameter among these and discover a means of assessing the malignancy of tumors within the different Callender subgroups. Methods: Uveal melanomas from 94 patients with a minimum follow-up of 5 years underwent nuclear and nucleolar morphometric analysis using a digitized interactive video overlay system. Statistical analysis included univariate and multivariate survival analysis on morphometric variables and classic prognostic parameters (such as Callender cell type, size, etc.). Results: Univariate analysis of cytomorphometric parameters showed the standard deviation of nuclear area (NASD) to be the most significant variable (P <0.0001; Mantel-Cox, 15.2). This was followed by the difference between nuclear and nucleolar areas (P <0.002; Mantel-Cox, 9.5), the standard deviation of nucleolar area (SDNA) (P <0.01; Mantel-Cox, 6.4), and the standard deviation of the shortest nuclear axis (P <0.02; Mantel-Cox, 6.4). There was a trend for significance with the mean of the ten largest nucleoli (P <0.07). Multivariate analysis of clinical and cytomorphometric variables showed improvement of prognostic prediction with a combination of the NASD, largest tumor dimension, and glaucoma (P <0.0001; Mantel-Cox, 26.3). Callender cell type was strongly correlated with the NASD (P <0.0002), the mean axis ratio of the nuclear area (P <0.0007), and the mean of the ten largest nucleoli (P <0.0007). Conclusion: Cytomorphometric analysis of uveal melanoma should include nuclear area and may identify tumors of differing malignancy within the same Callender class.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1634-1641 |
| Number of pages | 8 |
| Journal | Ophthalmology |
| Volume | 103 |
| Issue number | 10 |
| State | Published - 1996 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Ophthalmology
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Prognostic value of morphometric features and the callender classification in uveal melanomas. / Coleman, K.; Baak, J. P A; Van Diest, P. J.; Mullaney, J.
In: Ophthalmology, Vol. 103, No. 10, 1996, p. 1634-1641.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Prognostic value of morphometric features and the callender classification in uveal melanomas
AU - Coleman, K.
AU - Baak, J. P A
AU - Van Diest, P. J.
AU - Mullaney, J.
PY - 1996
Y1 - 1996
N2 - Purpose: Cytomorphometric analysis of uveal melanoma has focused on nucleolar characteristics, although nuclear measurements are easier and more reproducible. In this study, we examine a restricted set of nuclear and nucleolar cytomorphometric variables in the search for the most quantifiable and reproducible prognostic parameter among these and discover a means of assessing the malignancy of tumors within the different Callender subgroups. Methods: Uveal melanomas from 94 patients with a minimum follow-up of 5 years underwent nuclear and nucleolar morphometric analysis using a digitized interactive video overlay system. Statistical analysis included univariate and multivariate survival analysis on morphometric variables and classic prognostic parameters (such as Callender cell type, size, etc.). Results: Univariate analysis of cytomorphometric parameters showed the standard deviation of nuclear area (NASD) to be the most significant variable (P <0.0001; Mantel-Cox, 15.2). This was followed by the difference between nuclear and nucleolar areas (P <0.002; Mantel-Cox, 9.5), the standard deviation of nucleolar area (SDNA) (P <0.01; Mantel-Cox, 6.4), and the standard deviation of the shortest nuclear axis (P <0.02; Mantel-Cox, 6.4). There was a trend for significance with the mean of the ten largest nucleoli (P <0.07). Multivariate analysis of clinical and cytomorphometric variables showed improvement of prognostic prediction with a combination of the NASD, largest tumor dimension, and glaucoma (P <0.0001; Mantel-Cox, 26.3). Callender cell type was strongly correlated with the NASD (P <0.0002), the mean axis ratio of the nuclear area (P <0.0007), and the mean of the ten largest nucleoli (P <0.0007). Conclusion: Cytomorphometric analysis of uveal melanoma should include nuclear area and may identify tumors of differing malignancy within the same Callender class.
AB - Purpose: Cytomorphometric analysis of uveal melanoma has focused on nucleolar characteristics, although nuclear measurements are easier and more reproducible. In this study, we examine a restricted set of nuclear and nucleolar cytomorphometric variables in the search for the most quantifiable and reproducible prognostic parameter among these and discover a means of assessing the malignancy of tumors within the different Callender subgroups. Methods: Uveal melanomas from 94 patients with a minimum follow-up of 5 years underwent nuclear and nucleolar morphometric analysis using a digitized interactive video overlay system. Statistical analysis included univariate and multivariate survival analysis on morphometric variables and classic prognostic parameters (such as Callender cell type, size, etc.). Results: Univariate analysis of cytomorphometric parameters showed the standard deviation of nuclear area (NASD) to be the most significant variable (P <0.0001; Mantel-Cox, 15.2). This was followed by the difference between nuclear and nucleolar areas (P <0.002; Mantel-Cox, 9.5), the standard deviation of nucleolar area (SDNA) (P <0.01; Mantel-Cox, 6.4), and the standard deviation of the shortest nuclear axis (P <0.02; Mantel-Cox, 6.4). There was a trend for significance with the mean of the ten largest nucleoli (P <0.07). Multivariate analysis of clinical and cytomorphometric variables showed improvement of prognostic prediction with a combination of the NASD, largest tumor dimension, and glaucoma (P <0.0001; Mantel-Cox, 26.3). Callender cell type was strongly correlated with the NASD (P <0.0002), the mean axis ratio of the nuclear area (P <0.0007), and the mean of the ten largest nucleoli (P <0.0007). Conclusion: Cytomorphometric analysis of uveal melanoma should include nuclear area and may identify tumors of differing malignancy within the same Callender class.
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M3 - Article
C2 - 8874437
AN - SCOPUS:0029969057
VL - 103
SP - 1634
EP - 1641
JO - Ophthalmology
JF - Ophthalmology
SN - 0161-6420
IS - 10
ER -