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 <or=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 microm(2) was correlated with longer survival (P < .0001), and the 5-year survival rate was 90.4%. Similarly, a nuclear diameter level of <0.7 microm 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. (c) 2010 American Cancer Society.
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 <or=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 microm(2) was correlated with longer survival (P < .0001), and the 5-year survival rate was 90.4%. Similarly, a nuclear diameter level of <0.7 microm 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. (c) 2010 American Cancer Society.
Authors: Kyuichi Kadota; Kei Suzuki; Christos Colovos; Camelia S Sima; Valerie W Rusch; William D Travis; Prasad S Adusumilli Journal: Mod Pathol Date: 2011-10-07 Impact factor: 7.842
Authors: Kaustav Nandy; Prabhakar R Gudla; Ryan Amundsen; Karen J Meaburn; Tom Misteli; Stephen J Lockett Journal: Cytometry A Date: 2012-07-31 Impact factor: 4.355
Authors: Kyuichi Kadota; Kei Suzuki; Stefan S Kachala; Emily C Zabor; Camelia S Sima; Andre L Moreira; Akihiko Yoshizawa; Gregory J Riely; Valerie W Rusch; Prasad S Adusumilli; William D Travis Journal: Mod Pathol Date: 2012-04-13 Impact factor: 7.842
Authors: Ju Han; Hang Chang; Leandro Loss; Kai Zhang; Fredrick L Baehner; Joe W Gray; Paul Spellman; Bahram Parvin Journal: Proc IEEE Int Symp Biomed Imaging Date: 2011-06-09
Authors: Kyuichi Kadota; Jun-Ichi Nitadori; Kaitlin M Woo; Camelia S Sima; David J Finley; Valerie W Rusch; Prasad S Adusumilli; William D Travis Journal: J Thorac Oncol Date: 2014-08 Impact factor: 15.609