Jurnalul de Chirurgie
 Jurnalul de chirurgie
Aparitie trimestriala in a doua luna a trimestrului
Published quarterly in the second month of the quarter
ISSN: 1584 - 9341 Vol.10 Nr.3 - Iulie-Septembrie 2014 | smbt, 23 martie 2019
ISSN: 1584 - 9341 Vol.10 No.3 - July-September 2014
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MORPHOMETRIC CRITERIA IN THE ASSESSMENT OF MAMMARY SMEARS
Daniela Mihalache (1,2), Simona-Eliza Giuşcă (3), Carmen Ionescu (4),
Irina-Draga Căruntu (4), Adriana Grigoraş (4)
(1) PhD student “Gr.T.Popa” University of Medicine and Pharmacy Iaşi
(2) Pathology Department, County Hospital Brăila
(3) Emergency County University Hospital Sibiu
(4) Histology Department, “Gr.T.Popa” University of Medicine and Pharmacy Iaşi
Jurnalul de chirurgie 2011; 7 (4): 526-533
Full text:
Format PDF (Română/Romanian)

Abstract:

The applications of the computer-assisted image processing and analysis in the field of pathology are now developed in order to design, validate and implement supplementary and/or complementary tools for automated identification and classification, based on the characterization of the lesions in terms of the measurement values. The aim of our study is to create an original computerized technique for the investigation of the mammary smears. The study group included 20 Papanicolaou mammary smears, diagnosed as normal, benign and malign. From all smears, we captured digitized images, corresponding to significant microscopic fields – as cellularity. By using the Zeiss KS400 software, we constructed the macro generically named MAMAR, which includes a sequence of the automated operations allowing the extraction of the morphometric parameters for the representative cells. For all defined parameters (cell area, nuclear area, nucleo-citoplasmic ratio, equivalent diameter and form factor), an automated measurement function was applied. The comparison between the morphometric parameters that characterize normal, benign and, respectively, malign cells offers a unbiased point of view that certainly increase the accuracy of the diagnosis. Within the framework of this morphometric analysis, the equivalent diameter and the form factor ensure the refinement of the numerical information given by the cellular and nuclear areas.

KEY WORDS: BREAST CANCER, SMEAR, COMPUTERIZED MORPHOMETRY

Correspondence to: Adriana Grigoras, MD, PhD, Histology Department, “Gr.T.Popa” University of Medicine and Pharmacy Iaşi, str. Universitaţii, nr.16, e-mail:



: Creative Commons License
Jurnalul de chirurgie [Journal of Surgery] by Editorial Board, Department of Surgery University of Medicine and Pharmacy Iasi, E. Tarcoveanu, R. Moldovanu is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Based on a work at www.jurnaluldechirurgie.ro.