Publications by authors named "Jiajun Si"
Background: Bacterial pathogens and are the two main pathogens that cause community-acquired pneumonia complicated with pleural effusion (PE) in children, it is important to accurately differentiate between these two types of effusions. The aim of this study was to explore the feasibility and value of a radiomics approach based on non-contrast chest computed tomography (CT) scans in the differentiation of bacterial pneumonia PE (BPPE) and parapneumonic effusion (MPPE) in children.
Methods: The clinical and CT imaging data of hospitalized children with PE detected by chest CT scans from December 2020 to December 2023 were retrospectively collected.
Article Synopsis
- Lymphoma is a prevalent cancer in children, and distinguishing between its subtypes, like Burkitt lymphoma (BL) and lymphoblastic lymphoma, is challenging due to similar CT imaging features.
- This study aimed to create a model that uses spleen radiomic features extracted from CT images to noninvasively differentiate between these two subtypes in pediatric patients.
- The developed fusion models showed better performance than individual classifiers, with the SVM_4 model achieving the highest diagnostic accuracy, indicating its potential for clinical application.
Background: Diffuse large B-cell lymphoma (DLBCL) and Hodgkin's lymphoma (HL) are two completely different pathologic subtypes of lymphoma with distinctly different clinical presentations and treatment options. Thus, accurately differentiating between the two subtypes has important clinical implications. This study aimed to construct a radiomics model capable of distinguishing between DLBCL and HL based on enhanced computed tomography (CT) for the non-invasive diagnosis of lymphoma subtypes.
View Article and Find Full Text PDFObjective: To investigate the clinical value of contrast-enhanced computed tomography (CECT) radiomics for predicting the response of primary lesions to neoadjuvant chemotherapy in hepatoblastoma.
Methods: Clinical and CECT imaging data were retrospectively collected from 116 children with hepatoblastoma who received neoadjuvant chemotherapy. Tumor response was assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST).
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