Pregled bibliografske jedinice broj: 386131
Nuclear morphometry and AgNOR quantification: computerized image analysis on ovarian mucinous tumor imprints
Nuclear morphometry and AgNOR quantification: computerized image analysis on ovarian mucinous tumor imprints // Analytical and Quantitative Cytology and Histology, 30 (2008), 3; 160-168 (međunarodna recenzija, članak, znanstveni)
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Naslov
Nuclear morphometry and AgNOR quantification: computerized image analysis on ovarian mucinous tumor imprints
Autori
Versa-Ostojić, Damjana ; Stanković, Teodora ; Stemberger-Papić, Snježana ; Vrdoljak-Mozetić, Danijela ; Manestar, Miljenko ; Krašević, Maja
Izvornik
Analytical and Quantitative Cytology and Histology (0884-6812) 30
(2008), 3;
160-168
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
AgNOR; ovarian mucinous tumor; imprints
Sažetak
Objective: To determine the morphometric characteristics of nuclei and silver-stained nucleolar organizer regions (AgNORs) on cytologic imprints and their value in differential cytodiagnosis of benign, atypical proliferative (borderline) and malignant ovarian mucinous tumors. Study Design: Forty-six mucinous ovarian tumor imprints (16 benign, 15 borderline, 15 malignant), were analyzed. Nuclear area, outline, "shape factor" and "form factor" were measured on Papanicolaou-stained smears. AgNOR quantification included 7 variables related to the number and area of single, cluster, total and relative AgNOR content per nucleus and the size distribution of AgNORs. Results: Nuclear area and shape factor allowed distinguishing borderline and malignant tumors. The nuclear area in benign tumors was larger than that in borderline tumors ; malignant tumors had the highest values. Single and cluster AgNORs were statistically significantly different in borderline tumors compared with malignant tumors, except for the cluster AgNOR area. The total AgNOR area, number and relative area increased from benign through malignant tumors, with statistically significant differences among all groups. By AgNOR size distribution, small AgNORs discriminate malignant from borderline and benign tumors. Conclusion: Combining nuclear morphometry and AgNOR analysis on cytologic imprints could be a diagnostically useful method in the assessment of mucinous ovarian tumors.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Klinički bolnički centar Rijeka
Profili:
Maja Krašević
(autor)
Miljenko Manestar
(autor)
Danijela Vrdoljak Mozetič
(autor)
Damjana Verša Ostojić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE