Literature DB >> 32014965

Diagnosis of Malignant Pleural Effusion Using CT Scan and Pleural-Fluid Cytology Together. A Preliminary Case-Control Study.

Stefano M M Basso1, Franco Lumachi2, Alessandro Del Conte3, Sandro Sulfaro4, Federica Maffeis5, Paolo Ubiali5.   

Abstract

BACKGROUND/AIM: The purposes of this study were to evaluate the usefulness of chest computed tomographic (CT) scan plus pleural fluid cytology (PFC) together in patients with malignant pleural effusion (PE), and to compare the results of these diagnostic tools in patients with malignant PE due to non-small-cell lung cancer and pulmonary metastases from other malignancies. PATIENTS AND METHODS: The medical records of 185 patients with PE, who underwent chest CT, PFC and video-assisted thoracoscopy (VATS) thoracentesis followed by VATS-guided biopsy for diagnostic purpose, were reviewed. At the final diagnosis, 123 (66.5%) patients had malignant PE (cases), and 62 (33.5%) had benign PE (controls).
RESULTS: Overall, the sensitivity, specificity, and accuracy of CT and PFC were 65.0% vs. 67.5% 98.4% vs. 98.4%, and 76.2% vs. 77.8%, respectively. The combination of CT plus PFC significantly improved sensitivity (86.2%, p=0.003) and accuracy (90.8%, p=0.02).
CONCLUSION: CT and PFC used together may lead to approximately 100% specificity and >90% sensitivity in distinguishing between benign and malignant PE. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Malignant pleural effusion; differential diagnosis; lung cancer; pleural-fluid cytology; pulmonary metastases

Mesh:

Year:  2020        PMID: 32014965     DOI: 10.21873/anticanres.14054

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  4 in total

1.  The clinical efficacy of external application of mirabilite and rhubarb combined with intrathoracic chemotherapy in treating malignant pleural effusion: A prospective, randomized, controlled clinical trial.

Authors:  Huachun Zhang; Mengyuan Jiang; Lirong Gao; Zhen Lin
Journal:  Medicine (Baltimore)       Date:  2021-02-19       Impact factor: 1.817

2.  Automated Detection, Segmentation, and Classification of Pleural Effusion From Computed Tomography Scans Using Machine Learning.

Authors:  Raphael Sexauer; Shan Yang; Thomas Weikert; Julien Poletti; Jens Bremerich; Jan Adam Roth; Alexander Walter Sauter; Constantin Anastasopoulos
Journal:  Invest Radiol       Date:  2022-04-02       Impact factor: 10.065

3.  Characteristics of pleural effusion with a high adenosine deaminase level: a case-control study.

Authors:  Masafumi Shimoda; Aya Hirata; Yoshiaki Tanaka; Kozo Morimoto; Takashi Yoshiyama; Kozo Yoshimori; Takeshi Saraya; Haruyuki Ishii; Ken Ohta
Journal:  BMC Pulm Med       Date:  2022-09-21       Impact factor: 3.320

4.  The clinical efficacy of traditional Chinese medicine in the treatment of malignant pleural effusion: A protocol of systematic review and meta-analysis.

Authors:  Zhen Lin; Mengyuan Jiang; Lirong Gao; Huachun Zhang
Journal:  Medicine (Baltimore)       Date:  2020-09-25       Impact factor: 1.817

  4 in total

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