Abstract
Background: Nucleolar organizer regions (NORs) have recently attracted much attention because of claims that their frequency within nuclei is significantly higher in malignant cells than in normal, reactive, or benign neoplastic cells. Objective: The purpose of this paper is to analyze a method allowing selection of the best morphometric criterion for quantifying AgNOR proteins under conventional observation conditions by light microscopy. Method: We tried to investigate the various parameters including NORs counting in cutaneous tumors using image analysis system. Results: There were significant differences in mean nucleus area per a AgNOR, nucleus area between the benign and potentially malignant group. But the conventional counting of AgNORs is not able to differentiate between the two groups. We could discriminate squamous cell carcinoma from Bowen's disease using parameters of mean ratio of AgNORs area per nucleus area, mean ratio of greatest AgNORs area per nucleus area, coefficient of variation (CV) of nucleus area, and mean area of largest AgNORs. In squamous cell carcinoma and keratoacanthoma, CV of nucleus area has shown a significant difference. Conclusion: Study of AgNORs using image analysis system is a useful tool for the diagnosis of cutaneous tumors.
| Original language | English |
|---|---|
| Pages (from-to) | 140-145 |
| Number of pages | 6 |
| Journal | Annals of Dermatology |
| Volume | 6 |
| Issue number | 2 |
| Publication status | Published - 1994 Jan 1 |
| Externally published | Yes |
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Keywords
- Image analysis system
- Skin tumor
ASJC Scopus subject areas
- Dermatology
Cite this
Quantification of nucleolar organizer regions in skin tumors. / Sung Yul Lee, Yul Lee; Chong Hyeok Kim, Hyeok Kim; Oh, Chil Hwan.
In: Annals of Dermatology, Vol. 6, No. 2, 01.01.1994, p. 140-145.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Quantification of nucleolar organizer regions in skin tumors
AU - Sung Yul Lee, Yul Lee
AU - Chong Hyeok Kim, Hyeok Kim
AU - Oh, Chil Hwan
PY - 1994/1/1
Y1 - 1994/1/1
N2 - Background: Nucleolar organizer regions (NORs) have recently attracted much attention because of claims that their frequency within nuclei is significantly higher in malignant cells than in normal, reactive, or benign neoplastic cells. Objective: The purpose of this paper is to analyze a method allowing selection of the best morphometric criterion for quantifying AgNOR proteins under conventional observation conditions by light microscopy. Method: We tried to investigate the various parameters including NORs counting in cutaneous tumors using image analysis system. Results: There were significant differences in mean nucleus area per a AgNOR, nucleus area between the benign and potentially malignant group. But the conventional counting of AgNORs is not able to differentiate between the two groups. We could discriminate squamous cell carcinoma from Bowen's disease using parameters of mean ratio of AgNORs area per nucleus area, mean ratio of greatest AgNORs area per nucleus area, coefficient of variation (CV) of nucleus area, and mean area of largest AgNORs. In squamous cell carcinoma and keratoacanthoma, CV of nucleus area has shown a significant difference. Conclusion: Study of AgNORs using image analysis system is a useful tool for the diagnosis of cutaneous tumors.
AB - Background: Nucleolar organizer regions (NORs) have recently attracted much attention because of claims that their frequency within nuclei is significantly higher in malignant cells than in normal, reactive, or benign neoplastic cells. Objective: The purpose of this paper is to analyze a method allowing selection of the best morphometric criterion for quantifying AgNOR proteins under conventional observation conditions by light microscopy. Method: We tried to investigate the various parameters including NORs counting in cutaneous tumors using image analysis system. Results: There were significant differences in mean nucleus area per a AgNOR, nucleus area between the benign and potentially malignant group. But the conventional counting of AgNORs is not able to differentiate between the two groups. We could discriminate squamous cell carcinoma from Bowen's disease using parameters of mean ratio of AgNORs area per nucleus area, mean ratio of greatest AgNORs area per nucleus area, coefficient of variation (CV) of nucleus area, and mean area of largest AgNORs. In squamous cell carcinoma and keratoacanthoma, CV of nucleus area has shown a significant difference. Conclusion: Study of AgNORs using image analysis system is a useful tool for the diagnosis of cutaneous tumors.
KW - Image analysis system
KW - Skin tumor
UR - http://www.scopus.com/inward/record.url?scp=0028146539&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028146539&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0028146539
VL - 6
SP - 140
EP - 145
JO - Annals of Dermatology
JF - Annals of Dermatology
SN - 1013-9087
IS - 2
ER -