Literature DB >> 2422636

Cytologic diagnosis of lung cancer. Principles and problems.

W W Johnston.   

Abstract

This diagnostic seminar discusses the current status of the principles and problems of cytology as it is applied to the diagnosis of lung cancer. This discussion is divided into four major parts. Part I presents a discussion of cytopreparatory techniques and cytology of the lung in the absence of cancer. The cytology of benign proliferations which may mimic cancer is emphasized. The role of cytology in the diagnosis of pulmonary infectious organisms is noted. Part II discusses lung cancer as manifested in specimens of sputum, bronchial washings, and bronchial brushings. Part III presents some data on the validity of cytology with respect to role of specimen number and type in lung cancer diagnosis and cell typing in lung cancer. The continued usefulness and importance of multiple specimens of sputum for lung cancer diagnosis are documented. Part IV presents a brief synopsis of fine needle aspiration biopsy of lung cancer.

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Year:  1986        PMID: 2422636     DOI: 10.1016/S0344-0338(86)80184-4

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  6 in total

1.  Cytological features of non-small cell carcinomas of the lung in fine needle aspirates.

Authors:  S B Zusman-Harach; H R Harach; A R Gibbs
Journal:  J Clin Pathol       Date:  1991-12       Impact factor: 3.411

2.  Diffusion-weighted imaging vs STIR turbo SE imaging: capability for quantitative differentiation of small-cell lung cancer from non-small-cell lung cancer.

Authors:  H Koyama; Y Ohno; M Nishio; D Takenaka; T Yoshikawa; S Matsumoto; S Seki; Y Maniwa; T Ito; Y Nishimura; K Sugimura
Journal:  Br J Radiol       Date:  2014-04-30       Impact factor: 3.039

3.  Transformed human bronchial epithelial cells (BEAS-2B) alter the growth and morphology of normal human bronchial epithelial cells in vitro.

Authors:  C D Albright; R T Jones; E A Hudson; J A Fontana; B F Trump; J H Resau
Journal:  Cell Biol Toxicol       Date:  1990-10       Impact factor: 6.691

4.  Detection of DNA aneuploidy in exfoliated airway epithelia cells of sputum specimens by the automated image cytometry and its clinical value in the identification of lung cancer.

Authors:  Jian Yang; Yikai Zhou
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2004

5.  Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.

Authors:  Atsushi Teramoto; Tetsuya Tsukamoto; Ayumi Yamada; Yuka Kiriyama; Kazuyoshi Imaizumi; Kuniaki Saito; Hiroshi Fujita
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

6.  Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning.

Authors:  Atsushi Teramoto; Yuka Kiriyama; Tetsuya Tsukamoto; Eiko Sakurai; Ayano Michiba; Kazuyoshi Imaizumi; Kuniaki Saito; Hiroshi Fujita
Journal:  Sci Rep       Date:  2021-10-13       Impact factor: 4.379

  6 in total

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