Nuclear grading of primary pulmonary adenocarcinomas

Abstract

BACKGROUND: According to the World Health Organization Classification of Tumors, the prognostic value of morphometric cytologic atypia has not been assessed in pulmonary adenocarcinoma. METHODS: Primary tumors of 133 pulmonary adenocarcinomas ≤2 cm were analyzed using an image processor for analytical pathology. The results were evaluated using receiver operator characteristic curve analysis, and survival curves were drawn by the Kaplan-Meier method. Furthermore, the results were applied to routine histological diagnosis. Four pathologists evaluated the nuclear factors relative to the size of small lymphocytes as a standard. RESULTS: By using the nuclear area and nuclear major axis dimension, lung adenocarcinomas were divisible into 2 groups showing extremely favorable prognosis and fairly favorable prognosis, without considering histological features or classification. A nuclear area level of <67 μm2 was correlated with longer survival (P < .0001), and the 5-year survival rate was 90.4%. Similarly, a nuclear diameter level of <0.7 μm was correlated with longer survival (P = .0002), and the 5-year survival rate was 88.6%. The mean (±standard deviation [SD]) value of the kappa statistic for the 4 pathologists who evaluated the cases using the size of small lymphocytes as a standard was 0.58 ± 0.10, and the mean (±SD) value of the accuracy metric was 0.66 ± 0.10. CONCLUSIONS: Nuclear area and nuclear major dimension are 2 useful independent markers for evaluating the prognosis of lung adenocarcinoma. © 2010 American Cancer Society.