Improving performance of recently introduced flow cytometry‐based approach of malignant cell screening in serous cavity effusion-Reference-Cited by-同舟云学术

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Improving performance of recently introduced flow cytometry‐based approach of malignant cell screening in serous cavity effusion

Published:2020-06-23 Issue:5 Volume:42 Page:612-618
ISSN:1751-5521
Container-title:International Journal of Laboratory Hematology
language:en
Short-container-title:Int J Lab Hem

Author:

Sun Jingfang¹^ORCID,Ding Shuang¹,Zhu Liqiang¹,Liu Yun¹,Jiang Qingqing¹,Song Shuang¹,Chen Weimin¹,Li Shibao¹,Ma Ping¹²

Affiliation:

1. Department of Laboratory Medicine Affiliated Hospital of Xuzhou Medical University Xuzhou China

2. Medical Technology Institute Xuzhou Medical University Xuzhou China

Funder

Jiangsu Provincial Commission of Health and Family

Jiangsu Provincial Medical Youth Talent

Publisher

Wiley

Subject

Biochemistry (medical),Clinical Biochemistry,Hematology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijlh.13269

Reference15 articles.

1. Cerebrospinal, Synovial, Serous Body Fluids, and Alternative Specimens

2. Detection of malignant cells in serous body fluids by counting high-fluorescent cells on the Sysmex XN-2000 hematology analyzer

3. Body fluid cellular analysis using the Sysmex XN-2000 automatic hematology analyzer: focusing on malignant samples

4. Evaluation of Sysmex XN-1000 hematology analyzer for cell count and screening of malignant cells of serous cavity effusion

5. The diagnostic ability of high‐fluorescent cells combined with carcinoembryonic antigen for malignant pleural effusion

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1. High Fluorescent Cells on Automated Body Fluid Analysis as Discriminator for Malignant Cell Detection;South Asian Journal of Cancer;2023-10-27

2. Clinical application of an algorithm to screen for malignant cells in body fluids using an automated hematology analyzer;International Journal of Laboratory Hematology;2022-02-17

3. A Microfluidic Dielectric Spectroscopy System for Characterization of Biological Cells in Physiological Media;Sensors;2022-01-08

4. Deep learning convolutional neural network in diagnosis of serous effusion in patients with malignant tumor by tomography;The Journal of Supercomputing;2021-09-03

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