Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI

Journal of Magnetic Resonance Imaging : JMRI
Chunling LiuChuan Huang

Abstract

Sentinel lymph node (SLN) status is an important prognostic factor for patients with breast cancer, which is currently determined in clinical practice by invasive SLN biopsy. To noninvasively predict SLN metastasis in breast cancer using dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) intra- and peritumoral radiomics features combined with or without clinicopathologic characteristics of the primary tumor. Retrospective. A total of 163 breast cancer patients (55 positive SLN and 108 negative SLN). 1.5T, T1 -weighted DCE-MRI. A total of 590 radiomic features were extracted for each patient from both intratumoral and peritumoral regions of interest. To avoid overfitting, the dataset was randomly separated into a training set (∼67%) and a validation set (∼33%). The prediction models were built with the training set using logistic regression on the most significant radiomic features in the training set combined with or without clinicopathologic characteristics. The prediction performance was further evaluated in the independent validation set. Mann-Whitney U-test, Spearman correlation, least absolute shrinkage selection operator (LASSO) regression, logistic regression, and receiver operating characteristic (ROC) ana...Continue Reading

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Citations

Feb 19, 2019·Journal of Magnetic Resonance Imaging : JMRI·Zhuangsheng LiuWansheng Long
Apr 9, 2019·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·Karl D SpuhlerChuan Huang
Apr 14, 2019·Journal of Magnetic Resonance Imaging : JMRI·Amandine CrombéMichèle Kind
Apr 25, 2020·Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine·Xiaoying QiuTian'an Jiang
Apr 30, 2020·Technology in Cancer Research & Treatment·Dong-Man YeTao Yu
Jan 11, 2020·Journal of Magnetic Resonance Imaging : JMRI·Amandine CrombéMichèle Kind
Jul 6, 2019·Journal of Magnetic Resonance Imaging : JMRI·Beatriu ReigLinda Moy
Jun 20, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Martina SolliniMargarita Kirienko
Apr 3, 2020·Visual Computing for Industry, Biomedicine and Art·Renee CattellChuan Huang
Sep 17, 2020·Cancer Imaging : the Official Publication of the International Cancer Imaging Society·Meijie LiuHaizhu Xie
Feb 4, 2021·RöFo : Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin·Matthias DietzelPascal Andreas Thomas Baltzer
Feb 18, 2021·Journal of Magnetic Resonance Imaging : JMRI·Amandine CrombéMichèle Kind
Mar 25, 2021·Journal of Cancer Research and Clinical Oncology·Alessandro CalabreseCarlo de Felice
May 18, 2021·BioMed Research International·Bo RenAierken Aikebaier
Jul 3, 2021·Current Oncology·Filippo PesapaneEnrico Cassano

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