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Society for Pediatric Radiology – Poster Archive

Showing 2 Abstracts.

Holroyd Alexandria,  Bai Harrison,  Liu Shixin,  Xiao Yanhe,  Liu Yalin,  Wu Jing,  States Lisa

Final Pr. ID: Paper #: 156

Neuroblastoma is a clinically heterogeneous pediatric malignancy, varying in location, histopathologic appearance, and biologic characteristics. Genetics plays an important role in the prognosis. Amplification of the MYC family member, MYCN, is found in 25% of cases and correlates with high-risk disease and poor prognosis. However, genetic information can only be obtained via surgery or biopsy with concurrent morbidity and sampling variability associated with biopsy. The ability to detect MYCN amplification from routine pre-operative imaging can stratify neuroblastoma risk groups and affect clinical decision making. The purpose of this study was to predict the patient's MYCN status based on radiomics analysis of the magnetic resonance imaging (MRI) characteristics in patients with neuroblastoma.
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Authors:  Holroyd Alexandria , Bai Harrison , Liu Shixin , Xiao Yanhe , Liu Yalin , Wu Jing , States Lisa

Keywords:  Machine learning, Radiomics, Neuroblastoma

Marie Eman,  Oudjhane Kamaldine

Final Pr. ID: Paper #: 152

Neuroblastoma (NBL) is the most common extracranial solid malignancy of childhood. Biological features are known to affect disease severity. Status of amplification of the MYCN proto-oncogene is among several factors that affect the prognosis. CT texture analysis of tumor provides a step from qualitative to quantitative assessment, with the added bonus of use of routinely acquired images without the need for further tests. The aim of the study is to ascertain the ability to differentiate between MYCN-amplified and non MYCN-amplified neuroblastoma on pre-treatment CT images. The hypothesis is that lesion microenvironment and heterogeneity may differ significantly between MYCN-amplified and non MYCN-amplified tumor. Such differences may be exhibited in first-order texture analysis techniques that could detect more subtle differences in tumor heterogeneity by quantifying both pixel attenuation. This retrospective study objective is to explore the correlation between the first –order CT texture analysis (CTTA) and MYCN amplification status of neuroblastoma. Read More

Authors:  Marie Eman , Oudjhane Kamaldine

Keywords:  Neuroblastoma., CT texture., Radiomics