Literature DB >> 25641902

The role of liquid-based cytology and ancillary techniques in pleural and pericardic effusions: an institutional experience.

Esther Diana Rossi1, Tommaso Bizzarro, Fernando Schmitt, Adhemar Longatto-Filho.   

Abstract

BACKGROUND: Fine-needle aspiration cytology (FNAC) of serous membrane effusions may fulfil a challenging role in the diagnostic analysis of both primary and metastatic disease. From this perspective, liquid-based cytology (LBC) represents a feasible and reliable method for empowering the performance of ancillary techniques (ie, immunocytochemistry and molecular testing) with high diagnostic accuracy.
METHODS: In total, 3171 LBC pleural and pericardic effusions were appraised between January 2000 and December 2013. They were classified as negative for malignancy (NM), suspicious for malignancy (SM), or positive for malignancy (PM).
RESULTS: The cytologic diagnoses included 2721 NM effusions (2505 pleural and 216 pericardic), 104 SM effusions (93 pleural and 11 pericardic), and 346 PM effusions (321 pleural and 25 pericardic). The malignant pleural series included 76 unknown malignancies (36 SM and 40 PM effusions), 174 metastatic lesions (85 SM and 89 PM effusions), 14 lymphomas (3 SM and 11 PM effusions), 16 mesotheliomas (5 SM and 11 SM effusions), and 3 myelomas (all SM effusions). The malignant pericardic category included 20 unknown malignancies (5 SM and 15 PM effusions), 15 metastatic lesions (1 SM and 14 PM effusions), and 1 lymphoma (1 PM effusion). There were 411 conclusive immunocytochemical analyses and 47 molecular analyses, and the authors documented 88% sensitivity, 100% specificity, 98% diagnostic accuracy, 98% negative predictive value, and 100% positive predictive value for FNAC.
CONCLUSIONS: FNAC represents a primary diagnostic tool for effusions and a reliable approach with which to determine the correct follow-up. Furthermore, LBC is useful for ancillary techniques, such as immunocytochemistry and molecular analysis, with feasible diagnostic and predictive utility.
© 2015 American Cancer Society.

Entities:  

Keywords:  immunocytochemistry; liquid-based cytology; pericardic effusions; pleural effusions

Mesh:

Year:  2015        PMID: 25641902     DOI: 10.1002/cncy.21518

Source DB:  PubMed          Journal:  Cancer Cytopathol        ISSN: 1934-662X            Impact factor:   5.284


  6 in total

1.  A retrospective analysis of serous effusions based on the newly proposed international system for reporting serous fluid cytopathology: a report of 3633 cases in an oncological center.

Authors:  Yan-Li Zhu; Wen-Hao Ren; Qian Wang; Hai-Zhu Jin; Yi-Yi Guo; Dong-Mei Lin
Journal:  Diagn Pathol       Date:  2022-07-02       Impact factor: 3.196

2.  The Role of Liquid Based Cytology and Ancillary Techniques in the Peritoneal Washing Analysis: Our Institutional Experience.

Authors:  Esther Rossi; Tommaso Bizzarro; Maurizio Martini; Adhemar Longatto-Filho; Fernando Schmitt; Anna Fagotti; Giovanni Scambia; Gian Franco Zannoni
Journal:  PLoS One       Date:  2017-01-18       Impact factor: 3.240

3.  Molecular Analysis of Liquid-Based Cytological Specimen Using Virtually Positive Sputum with Adenocarcinoma Cells.

Authors:  Takeshi Nishikawa; Tomomi Fujii; Shigenobu Tatsumi; Aya Sugimoto; Yoko Sekita-Hatakeyama; Keiji Shimada; Masaharu Yamazaki; Kinta Hatakeyama; Chiho Ohbayashi
Journal:  Diagnostics (Basel)       Date:  2020-02-05

Review 4.  The Value of Cytology in the Evaluation of Malignant Pericardial Effusions: A Systematic Review.

Authors:  Ranim Shartouni; Roy Shartouni; Maryam Mahmoodi; Ilias P Nikas
Journal:  Diagnostics (Basel)       Date:  2022-02-01

5.  Application of the international system for reporting serous fluid cytopathology on reporting various body fluids; experience of a tertiary care hospital.

Authors:  Sachin Kolte; Sufian Zaheer; Durre Aden; Sunil Ranga
Journal:  Cytojournal       Date:  2022-09-05       Impact factor: 2.345

6.  Novel cytological model for the identification of early oral cancer diagnostic markers: The carcinoma sequence model.

Authors:  Masami Kawaharada; Manabu Yamazaki; Satoshi Maruyama; Tatsuya AbÉ; Nyein Nyein Chan; Taiichi Kitano; Tadaharu Kobayashi; Takeyasu Maeda; Jun-Ichi Tanuma
Journal:  Oncol Lett       Date:  2022-01-11       Impact factor: 2.967

  6 in total

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