Related Experiment Video
Updated: Feb 7, 2026
03:22
Local Anesthetic Thoracoscopy for Undiagnosed Pleural Effusion
Published on: November 10, 2023
1.6K
Quantitative INTERSPECIMEN variability during biphasic pleural fluid cytological sampling in adenocarcinoma effusions
Stylianos A Michaelides1, George D Bablekos2, Avgerinos-Romanos S Michailidis1
1Department of Occupational Lung Diseases and Tuberculosis, "Sismanogleio - Amalia Fleming" General Hospital, Athens, Greece.
Diagnostic Cytopathology
|July 26, 2018
Summary
Cytological analysis of pleural fluid for adenocarcinoma shows higher diagnostic yield from samples taken later in the drainage process. Later samples contain significantly more malignant cell aggregates, improving diagnostic accuracy for metastatic pleural adenocarcinoma.
Area of Science:
- Cytopathology
- Oncology
- Thoracic Medicine
Background:
- Pleural effusions are common in metastatic adenocarcinoma.
- Cytology of pleural fluid has a high diagnostic yield for adenocarcinoma.
- Biphasic sampling can provide comparative cytological information.
Purpose of the Study:
- To comparatively evaluate cytological information from biphasic pleural fluid sampling.
- To assess diagnostic yield of early versus late pleural fluid aspiration in metastatic adenocarcinoma.
- To determine the impact of fluid volume on diagnostic cellularity.
Main Methods:
- Studied 46 patients with malignant pleural effusion due to adenocarcinoma.
- Collected two 30-ml pleural fluid samples (S1 at start, S2 near end of aspiration).
- Examined Papanicolaou-stained smears via light microscopy, quantifying cell types and malignant cell aggregates (NMCA).
Main Results:
- Significantly higher numbers of mesothelial cells, lymphocytes, neutrophils, and NMCA were found in S2 compared to S1 (P < .01).
- A strong linear association was observed between the S2/S1 ratio of NMCA and the volume of fluid aspirated between samples (P < .001).
- Late-stage aspiration samples yielded more diagnostic information.
Conclusions:
- Specimens aspirated towards the end of pleural fluid drainage contain significantly more diagnostic information.
- Optimizing sample timing during thoracentesis can enhance diagnostic yield for pleural adenocarcinoma.
- This finding has implications for improving the accuracy of cytological diagnosis in malignant pleural effusions.
More Related Videos
Related Concept Videos
01:25Pleural Effusion I: Introduction
4.4K
Pleural effusion is an abnormal fluid accumulation in the pleural cavity, a narrow space between the lungs and the chest wall. It is not a disease per se but rather a symptom or indication of an underlying disease. In normal circumstances, this space contains a small amount of fluid (5 to 15 mL), a lubricant facilitating the non-frictional movement of the pleural surfaces.
There are two main types of pleural effusion: transudative and exudative. They are differentiated using Light's...
There are two main types of pleural effusion: transudative and exudative. They are differentiated using Light's...
4.4K
01:28Pleural Effusion II: Symptoms and Management
797
Pleural Effusion Overview
A pleural effusion is the abnormal collection of fluid between the parietal and visceral pleura layers of tissue that form the lining of the lungs and chest cavity. It can occur independently or due to surrounding parenchymal diseases, such as infection, malignancy, or inflammatory conditions.
Clinical Manifestations:
A pleural effusion is the abnormal collection of fluid between the parietal and visceral pleura layers of tissue that form the lining of the lungs and chest cavity. It can occur independently or due to surrounding parenchymal diseases, such as infection, malignancy, or inflammatory conditions.
Clinical Manifestations:
797
01:02Fluid Pressure over Flat Plate of Variable Width
2.1K
When a flat plate is submerged in a fluid, the fluid exerts pressure on the plate. This pressure can lead to many different phenomena, including drag and buoyancy. To understand the behavior of the fluid over a flat plate of variable width, it is essential to analyze the distribution of the pressure exerted.
The pressure distribution on the plate can be calculated by determining the force that acts on a differential area strip of the plate. Thus, the magnitude of the force is equal to the...
The pressure distribution on the plate can be calculated by determining the force that acts on a differential area strip of the plate. Thus, the magnitude of the force is equal to the...
2.1K
03:48Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion
31.4K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.4K
01:11Variability: Analysis
522
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
522
01:09Random Variables
17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K