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1.
J Pathol ; 193(1): 48-54, 2001 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-11169515

RESUMEN

The aim of this study was to assess the value of Ki-67 immunoquantitation with a computerized image analysis system for grading support in cervical intraepithelial neoplasia (CIN). Sixty-five 'blind' consensus biopsies (23 CIN 1, 22 CIN 2, and 20 CIN 3) were used as a learning set. Measurements were done in the carefully selected most severely dysplastic part of the epithelium of each CIN case. The resulting discriminating combination of quantitative features was then prospectively applied on 121 new biopsies (test set) and compared with the classical CIN grade assessed routinely by six different pathologists and with the blind review grades assessed by two experienced pathologists. In the learning set of 65 cases, a jack-knifed stepwise discriminant analysis showed that the 90th percentile of the stratification index and the number of positive nuclei per 100 microm basal membrane are the best discriminating set of features to distinguish the three CIN grades at the same time. With these features, two CIN 1 cases were 'misclassified' as CIN 2 and nine CIN 2 cases as CIN 3. Overall agreement, therefore, was only 83%. However, recut of the paraffin blocks in the two 'misclassified' CIN 1 cases revealed CIN 2 in the first and CIN 3 in the other, while the other CIN 1 cases that were correctly classified with Ki-67 quantitation remained CIN 1. Likewise, nine CIN 2 cases were misclassified as CIN 3, but in two of these nine cases histological follow-up clearly indicated CIN 3. Agreement may thus be higher than the 83% in the learning set suggests. In the subsequent prospective evaluation on 121 routine CIN cases (test set), agreement between routine CIN grades (by six independent different pathologists) and quantitative Ki-67 classification was 78%. However, when compared with the blind review CIN grades of two expert pathologists, agreement was 97% and sensitivity, specificity, and positive and negative predictive value were very high. It is concluded that Ki-67 immunoquantitation is a useful diagnostic adjunct to distinguish different CIN grades and may also be a sensitive biological indicator of progression of seemingly low-grade CIN.


Asunto(s)
Antígenos de Neoplasias/metabolismo , Biomarcadores de Tumor/metabolismo , Antígeno Ki-67/metabolismo , Displasia del Cuello del Útero/metabolismo , Neoplasias del Cuello Uterino/metabolismo , Progresión de la Enfermedad , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador/métodos , Técnicas para Inmunoenzimas , Valor Predictivo de las Pruebas , Estudios Prospectivos , Sensibilidad y Especificidad , Neoplasias del Cuello Uterino/patología , Displasia del Cuello del Útero/patología
2.
Int J Gynecol Cancer ; 5(2): 112-116, 1995 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-11578464

RESUMEN

In FIGO stage I endometrial cancer patients, histologic type and grade are correlated with prognosis and used for therapeutic decision making. However, assessment of these histologic features is subjective, and the results are not always perfectly reproducible. Contrarily, previous studies have shown that DNA-ploidy and morphometric features are highly reproducible and have a strong prognostic value in these cancers. Multivariate analysis has demonstrated that a combination of mean shortest nuclear axis (MSNA), DNA-ploidy and depth of myometrial invasion (the so-called ECPI-1 score) overshadowed the value of all other features investigated. The present study was set up to evaluate further and compare the prognostic power of the ECPI-1 score in 77 FIGO I patients with long follow-up (10-15 years). Grade (revised), invasion depth, MSNA and ploidy were all highly significant. However, the ECPI-1 score (with exactly the same threshold as in the previous study, 0.87) greatly exceeded the prognostic value of these single features. Only two (3%) of the 64 patients with ECPI-1 0.87 (10 died within 42 months) (P < 0.0001, Mantel-Cox value = 51.1). These results confirm the prognostic strength of the ECPI-1 score in stage I endometrial carcinoma.

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