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Incremental Diagnostic Value of Computed Tomography Attenuation in Differentiating Malignant Pericardial Effusion: A
Duygu İnan1, Ayse İrem Demirtola Mammadli2, Gamze Gençol Akçay1
1Department of Cardiology, Başakşehir Çam and Sakura City Hospital, İstanbul, Türkiye.
Insights
Computed tomography (CT) attenuation can help identify malignant pericardial effusion (MPE) when combined with clinical data. This non-invasive method improves diagnostic accuracy for MPE, aiding early detection.
Area of Science:
- Cardiology
- Radiology
- Oncology
Background:
- Malignant pericardial effusion (MPE) is linked to poor prognosis and often presents as cardiac tamponade.
- Cytology, the current diagnostic standard for MPE, has limited sensitivity.
- Computed tomography (CT) attenuation values may indicate fluid composition, aiding non-invasive MPE differentiation.
Purpose of the Study:
- To evaluate the diagnostic performance of CT attenuation in differentiating malignant from non-malignant pericardial effusion.
- To compare the diagnostic accuracy of a model incorporating CT attenuation with a model using only clinical and laboratory variables.
Main Methods:
- Retrospective single-center study of 102 patients undergoing pericardiocentesis and thoracic CT.
- Malignant and non-malignant effusions classified by pathological findings.
- CT attenuation measured at standardized axial levels; diagnostic performance assessed via logistic regression and ROC analysis.
Main Results:
- MPE diagnosed in 43.1% of patients; CT attenuation was significantly higher in the MPE group (24.4 HU vs. 9.3 HU).
- CT attenuation, along with male sex, elevated fluid protein, low glucose, and high lactate dehydrogenase, independently predicted MPE.
- The model including CT attenuation (Model 2) showed improved diagnostic performance (AUC: 0.893) compared to clinical/lab variables alone (Model 1, AUC: 0.860).
Conclusions:
- CT attenuation offers incremental diagnostic value for MPE when integrated with clinical and biochemical parameters.
- The non-invasive and reproducible nature of CT attenuation supports early detection of malignant conditions, particularly when rapid diagnosis is crucial.
Objective:
Malignant pericardial effusion (MPE) is associated with poor prognosis and frequently presents as cardiac tamponade. While cytology is the diagnostic gold standard, its sensitivity is limited. Computed tomography (CT) attenuation, measured in Hounsfield Units (HU), may reflect fluid composition and assist in the non-invasive differentiation of MPE.
Method:
This retrospective, single-center study included 102 patients who underwent percutaneous pericardiocentesis and thoracic CT. Patients were classified as having malignant or non-malignant effusion based on pathological findings. CT attenuation was measured at three standardized axial levels. Diagnostic performance was assessed using multivariate logistic regression and receiver operating characteristic (ROC) analysis. Two predictive models were compared: Model 1 (clinical and laboratory variables) and Model 2 (Model 1 + CT attenuation).
Results:
MPE was diagnosed in 44 patients (43.1%). CT attenuation values were significantly higher in the MPE group (median 24.4 HU vs. 9.3 HU, P < 0.001). On multivariate analysis, male sex, elevated pericardial fluid protein, low glucose, and high lactate dehydrogenase were independent predictors of MPE. CT attenuation also emerged as an independent predictor when added to the model (Model 2) (odds ratio [OR] = 1.076, 95% confidence interval [CI]: 1.026-1.128, P = 0.003). The inclusion of CT attenuation improved the model's diagnostic performance (area under the curve [AUC]: 0.893 for Model 2 vs. 0.860 for Model 1). Model 2 demonstrated superior diagnostic performance (AUC = 0.893), with a CT attenuation cut-off of 16.45 HU yielding a sensitivity of 88.2% and a specificity of 78.3%.
Conclusion:
CT attenuation provides incremental diagnostic value in identifying MPE when combined with conventional clinical and biochemical parameters. In settings where rapid diagnosis is critical, its non-invasive and reproducible nature may support early detection of malignant conditions.
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