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Automatic Separation and Collection of Cancer-Related Substances from Clinical Samples
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Screening for malignant tumor cells in serous effusions with an automatic hematology analyzer using a novel
Dehua Sun1, Xinru Mao1, Taixue An1
1Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Annals of Translational Medicine
|April 18, 2022
Summary
A new malignant cell algorithm-body fluid (MA-BF) shows improved accuracy in detecting tumor cells in body fluid samples compared to the traditional high-fluorescence body fluid (HF-BF) method. This advancement enhances diagnostic capabilities for malignant cells in clinical settings.
Area of Science:
- Hematology
- Clinical Chemistry
- Oncology
Background:
- High false-positive rates of traditional high-fluorescence body fluid (HF-BF) parameters limit diagnostic accuracy for malignant tumor cells in body fluid (BF) samples.
- The Mindray BC-6800 Plus hematology analyzer offers a novel algorithm for improved screening of BF samples.
Purpose of the Study:
- To evaluate the diagnostic accuracy of a novel algorithm, malignant cell algorithm-body fluid (MA-BF), for screening malignant tumor cells in clinical BF samples.
- To compare the performance of MA-BF with the traditional HF-BF algorithm using the Mindray BC-6800 Plus analyzer.
Main Methods:
- A total of 220 BF samples were analyzed using the BC-6800 Plus in body fluid mode, divided into training and validation cohorts.
- A novel gating algorithm (MA-BF) was designed based on scatter plot analysis to identify aggregated cells with high fluorescence and side-scatter signals.
- Diagnostic accuracy was assessed using receiver operating characteristic (ROC) curve analysis, comparing MA-BF and HF-BF parameters.
Main Results:
- The traditional HF-BF parameters showed an Area Under the Curve (AUC) of 0.76 for absolute count (HF-BF#) and 0.70 for relative count (HF-BF%).
- The novel MA-BF algorithm established cutoff values of 0.006×10^9/L for MA-BF# and 0.2% for MA-BF% in the training cohort.
- In the validation cohort, MA-BF# achieved an AUC of 0.89 with 93% sensitivity and 78% specificity, outperforming HF-BF.
Conclusions:
- The MA-BF algorithm demonstrates superior diagnostic accuracy for detecting tumor cells in body fluid samples compared to the traditional HF-BF parameters.
- This novel algorithm offers a more reliable method for screening malignant cells in clinical body fluid analysis.

