Literature DB >> 20151423

Nuclear grading of primary pulmonary adenocarcinomas: correlation between nuclear size and prognosis.

Yoshimasa Nakazato1, Yuko Minami, Hiromi Kobayashi, Kaishi Satomi, Yoichi Anami, Koji Tsuta, Ryota Tanaka, Masafumi Okada, Tomoyuki Goya, Masayuki Noguchi.   

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 <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.

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Year:  2010        PMID: 20151423     DOI: 10.1002/cncr.24948

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  16 in total

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Review 4.  Implementing the new IASLC/ATS/ERS classification of lung adenocarcinomas: results from international and Chinese cohorts.

Authors:  Ming-Ching Lee; Kyuichi Kadota; Daniel Buitrago; David R Jones; Prasad S Adusumilli
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7.  A grading system combining architectural features and mitotic count predicts recurrence in stage I lung adenocarcinoma.

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

8.  COMPARISON OF SPARSE CODING AND KERNEL METHODS FOR HISTOPATHOLOGICAL CLASSIFICATION OF GLIOBASTOMA MULTIFORME.

Authors:  Ju Han; Hang Chang; Leandro Loss; Kai Zhang; Fredrick L Baehner; Joe W Gray; Paul Spellman; Bahram Parvin
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Journal:  PLoS One       Date:  2010-06-15       Impact factor: 3.240

10.  Comprehensive pathological analyses in lung squamous cell carcinoma: single cell invasion, nuclear diameter, and tumor budding are independent prognostic factors for worse outcomes.

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

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