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Neuroblastoma is the most common extracranial solid tumor in children .
Neuroblastoma is the most common extracranial solid tumor in children .
Radiogenomics focuses on detecting the correlation between image features and genomic data.
Recently, a study published in the journal European Radiology constructed CT-based radioomics features and evaluated its diagnostic performance in predicting MYCN amplification (MNA) in children with neuroblastoma , establishing a non-invasive approach for the clinic Methods of detecting and evaluating MNA provide the possibility.
The study included 78 children with neuroblastoma (55 cases in the training cohort, 23 cases in the experimental cohort).
The study included 78 children with neuroblastoma (55 cases in the training cohort, 23 cases in the experimental cohort).
Figure 1 ROC curve (blue line) and clinical radiomic nomogram (red line) of the clinical model.
Figure 1 ROC curve (blue line) and clinical radiomic nomogram (red line) of the clinical model.
Figure 2 Decision curve analysis (DCA) (blue line) and clinical radioomics nomogram (red line) of the clinical model.
Figure 2 Decision curve analysis (DCA) (blue line) and clinical radioomics nomogram (red line) of the clinical model.
The CT-based radioomics features can predict MNA.
Original source:
Haoting Wu,Chenqing Wu,Hui Zheng,et al.
Wu Haoting, Chenqing Wu, Hui Zheng, et Al Radiogenomics of neuroblastoma in Pediatric patients:.
CT-based radiomics Signature of MYCN in Predicting amplification.
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