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J Salas-Molina

Publications and source records attributed to J Salas-Molina.

4 recordsLinked to original sources
PubMed1994

Multivariate discriminant analysis of normal, intraepithelial neoplasia and human papillomavirus infection of the uterine cervix samples.

The present investigation studies the role of multivariate statistical methods on quantitative histopathological features of cells in uterine cervix epithelium to discriminate between normal and abnormal uterine cervix samples. 143 histological specimens were included in the study involving normal cervix, cervical intraepithelial neoplasia (CIN) lesions and cervical human papillomavirus (HPV) infection with and without CIN (condyloma-CIN and condyloma-NCIN groups, respectively). Deep, middle and superficial regions of the cervical squamous epithelium were morphometrically analyzed. Identification of normal cervix from pathological cases was highly achieved with a specificity of 100%. The application of discriminant statistical method within pathological specimens showed an acceptable percentage of cases correctly classified; thus, an efficiency of 83.0% and 74.6% was obtained in order to discriminate within CIN and condyloma-CIN grades respectively. These percentages increased when differentiation between each grade of CIN versus condyloma-CIN were considered, using only 1-3 morphometrical parameters. Our findings indicate that the combination of nuclear and cytoplasmic quantitative features, specially size parameters, permit a high correct percentage classification of cervix samples. The discrimination process was better when few diagnostic categories were included; however, 100% specificity for normal samples was always reached.

Cell Nucleus↗
PubMed1993

Histomorphometry of normal and abnormal cervical samples.

We quantitatively studied the nuclear and cytoplasmic characteristics of cells in the normal cervix, squamous intraepithelial lesions (cervical intraepithelial neoplasia [CIN]) lesions and cervical human papillomavirus (HPV) infection with and without CIN (condyloma-CIN and condyloma-NCIN groups, respectively). The morphometric features of the deep, middle and superficial layers of the cervical epithelium were calculated on 143 cervical samples. The morphometric parameters selected for the analysis were area; perimeter; maximal, minimal and equivalent circle diameters; nuclear/cytoplasmic ratio; and several shape factors. Our quantitative findings support the opinion of other authors that HPV infection is associated with shape and size modifications of the nucleus and cytoplasm in CIN. In relation to cellular size, there were no differences between a normal cell, regardless of its region, and a virus-infected cell. The nuclear differences are predominantly in the deep layer areas. The CIN samples showed changes in both cellular and nuclear form and size but lacked substantial differences in the tumor grades and areas studied. The condyloma-CIN samples revealed more notable differences in both tumor grade differentiation and different cellular layers.

Cell Nucleus↗
PubMed1992

Morphometry and discriminant analysis of the endometrium.

The authors dated 100 normal endometrial biopsies. Only endometrial specimens with histologically confirmed subphases and no evidence of organic disease were accepted for study. The morphometry and stereologic measures of the glands, lumina and endometrial epithelium were assessed. Quantitative assessment of the normal endometrium supported the histologic events that occur in the endometrial cycle (proliferative and secretory phases). There was a progressive increase in morphometric and stereologic values of the glands, epithelium and lumina during the endometrial cycle. Using stepwise discriminant analysis, 94% of the specimens were correctly classified into the categories of proliferative and secretory phase; two quantitative parameters were required, the epithelial volume density and longest luminal diameter. When three subphases within proliferative and secretory endometrium were considered, the overall accuracy was 90% and 78%, respectively.

Biopsy↗