A1 Refereed original research article in a scientific journal
Morphometric analysis using automated image analysis of CD34-positive vessels in salivary gland acinic cell carcinoma
Authors: Luukkaa H, Laitakari J, Vahlberg T, Klemi P, Grénman R
Publication year: 2007
Journal: Acta Oto-Laryngologica
Journal name in source: Acta oto-laryngologica
Journal acronym: Acta Otolaryngol
Volume: 127
Issue: 8
First page : 869
Last page: 73
Number of pages: 5
ISSN: 0001-6489
DOI: https://doi.org/10.1080/00016480601053099
Abstract
In computer-assisted analysis of acinic cell cancer (ACC) morphological characteristics of CD34 immunoreactivity were detected. Bigger vessel size, vessel irregularity, and lower intensity of CD34-positive vessel staining may indicate unfavorable prognosis.\nSalivary gland cancer (SGC) is a morphologically diverse group of malignancies, the most common histological types being mucoepidermoid, adenoid cystic and ACC, which has the most favorable prognosis of the three. The aim of this research was to study the applicability of automated image analysis as prognostic criteria in ACC.\nIn a nationwide study covering SGC patients in Finland during 1991-1996, 34 patients with ACC (15 males, 19 females, aged 19-95 years, mean 55 years) were included. Parameters were measured from CD34-stained samples.\nIn all, 10 385 vessels were measured, of which 9873 were from specimens from patients who were alive 5 years after treatment (n=32, group I) and 512 were from patients who died of disease (n=2, group II). The following results were found in group II versus group I: mean vessel size 469 microm vs 272 microm (p=0.024); vessel irregularity 28.3 microm vs 22.3 microm (p<0.001); CD34 staining intensity 0.555 microm vs 0.584 microm (p=0.024).\nCONCLUSIONS\nOBJECTIVES\nPATIENTS AND METHODS\nRESULTS
In computer-assisted analysis of acinic cell cancer (ACC) morphological characteristics of CD34 immunoreactivity were detected. Bigger vessel size, vessel irregularity, and lower intensity of CD34-positive vessel staining may indicate unfavorable prognosis.\nSalivary gland cancer (SGC) is a morphologically diverse group of malignancies, the most common histological types being mucoepidermoid, adenoid cystic and ACC, which has the most favorable prognosis of the three. The aim of this research was to study the applicability of automated image analysis as prognostic criteria in ACC.\nIn a nationwide study covering SGC patients in Finland during 1991-1996, 34 patients with ACC (15 males, 19 females, aged 19-95 years, mean 55 years) were included. Parameters were measured from CD34-stained samples.\nIn all, 10 385 vessels were measured, of which 9873 were from specimens from patients who were alive 5 years after treatment (n=32, group I) and 512 were from patients who died of disease (n=2, group II). The following results were found in group II versus group I: mean vessel size 469 microm vs 272 microm (p=0.024); vessel irregularity 28.3 microm vs 22.3 microm (p<0.001); CD34 staining intensity 0.555 microm vs 0.584 microm (p=0.024).\nCONCLUSIONS\nOBJECTIVES\nPATIENTS AND METHODS\nRESULTS
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