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Related Experiment Video

Updated: Nov 9, 2025

In vitro Mesothelial Clearance Assay that Models the Early Steps of Ovarian Cancer Metastasis
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Development and validation a simple model for identify malignant ascites.

Ying-Yun Guo1, Xiu-Lan Peng2, Na Zhan3

  • 1Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China.

International Journal of Medical Sciences
|April 14, 2021
PubMed
Summary
This summary is machine-generated.

Diagnosing malignant ascites is difficult. This study developed a 5-marker model using age, cholesterol, hs-CRP, AF ADA, and AF LDH to effectively differentiate malignant from benign ascites.

Keywords:
ascitescarcinomadiagnosisdifferentiallogistic models

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Area of Science:

  • Oncology
  • Clinical Diagnostics
  • Biomarkers

Background:

  • Differentiating benign from malignant ascites presents a significant clinical challenge.
  • Accurate diagnosis is crucial for timely and appropriate patient management.

Purpose of the Study:

  • To develop a user-friendly predictive model for distinguishing malignant ascites from non-malignant ascites.
  • To utilize easily obtainable clinical parameters for the predictive model.

Main Methods:

  • Retrospective review of 317 patients with new-onset ascites.
  • Selection of 36 parameters using logistic regression and ROC curve analysis.
  • Development and validation of a 5-marker mathematical model (age, cholesterol, hs-CRP, AF ADA, AF LDH).

Main Results:

  • The 5-marker model demonstrated high diagnostic performance in both development and validation datasets.
  • Sensitivity, specificity, and accuracy for malignant ascites were 84.7%, 88.8%, and 87.6% in the development set.
  • The model achieved an area under the ROC curve of 0.874 (development) and 0.863 (validation).

Conclusions:

  • The developed mathematical model is an efficient and user-friendly tool for differentiating malignant ascites from benign ascites.
  • The model's high diagnostic efficiency supports its clinical utility.
  • The five selected markers provide a robust basis for ascites diagnosis.