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The role of pericardial fluid CT radiomic analysis to differentiate exudate from transudate.
Session:
Sessão de Posters 46 - TC Cardíaca
Speaker:
Fábio Sousa Nunes
Congress:
CPC 2024
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.6 Cross-Modality and Multi-Modality Imaging Topics
Session Type:
Cartazes
FP Number:
---
Authors:
Fábio Sousa Nunes; Mariana Cabanas; João Pedrosa; Miguel Coimbra; Jennifer Mancio
Abstract
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Introduction: Pericardiocentesis may be indicated to assess the etiology of a pericardial effusion. Radiomic analysis may allow the phenotyping of pericardial effusion to determine the underlying composition. This work aimed to evaluate the role of radiomic analysis of pericardial fluid to differentiate between exudate and transudate.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Methods: We included patients referred for CT-guided pericardiocentesis. We excluded patients whose final diagnosis of exudate or transudate was not made. A total of 118 patients were selected for analysis. We segmented the pericardial effusion for each patient, with the outer borders consisting of the pericardial membrane and the inner borders consisting of the heart wall. We selected the largest “slice” of pericardial effusion for each patient, thus rendering 118 segmentations for the final analysis. We extracted radiomic features using Pyradiomics®. A univariate analysis was performed to assess which radiomic features distinguished between both groups of patients.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Results: 105 radiomic features were computed. Two radiomic features provided incremental information to differentiate between exudate and transudate: Gray Level Size Zone Matrix (GLSZM) Size-Zone Non-Uniformity (OR 1.49 (95% CI 1.02-2.22, p-value = 0.037) and Gray Level Dependence Matrix (GLDM) dependence non-uniformity (OR 1.47, 95% CI 1.01-2.18, p=0.043). These radiomic features describe the level of homogeneity in images, namely for zone volumes for GLSZM and pixel pairs in GLDM.</span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif">Conclusion: Two radiomic features allowed for the differentiation between exudate and transudate on pericardial effusion. Both features have plausible biological explanations as they describe the level of homogeneity in images. </span></span></p>
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