| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8534470 | Life Sciences | 2018 | 53 Pages |
Abstract
Multiparametric radiomics of rectal cancer, which captures blood supply and stiffness phenotypes, is a useful tool for predicting LN metastasis preoperatively and has marked discrimination accuracy compared to conventional radiomics.
Keywords
DCAERUSIDIcomputed-tomographyNRIMDCTSWEDICOMCrtICCAICCeAPACsROIscarcinoembryonic antigenMRIShear-wave elastographyPicture archiving and communication systemNet reclassification improvementIntegrated discrimination improvementDecision curve analysisdigital imaging and communications in medicineMagnetic resonance imagingLeast absolute shrinkage and selection operatorData miningendorectal ultrasoundC-indexconcordance indexChemoradiotherapyIntra-class correlation coefficientElasticityAkaike information criterionRectal neoplasmsodds ratioLASSOlymph nodesLymph node
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Authors
Li-Da Chen, Jin-Yu Liang, Hui Wu, Zhu Wang, Shu-Rong Li, Wei Li, Xin-Hua Zhang, Jian-Hui Chen, Jin-Ning Ye, Xin Li, Xiao-Yan Xie, Ming-De Lu, Ming Kuang, Jian-Bo Xu, Wei Wang,