Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer

Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer

(2019) Lu Han et al.   EUROPEAN RADIOLOGY

Task‐based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis

(2019) Karl D. Spuhler et al.   MAGNETIC RESONANCE IN MEDICINE

An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer

(2018) Cuishan Liang et al.   ACADEMIC RADIOLOGY

Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer

(2018) Hyunjin Park et al.   CLINICAL CANCER RESEARCH

Peritumoral tissue on preoperative imaging reveals microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis

(2018) Hang-Tong Hu et al.   Abdominal Radiology

Correlation of radiomic features with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) to predict recurrence and overall survival (OS).

(2018) Pradnya Dinkar Patil et al.   JOURNAL OF CLINICAL ONCOLOGY

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

(2018) Chunling Liu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC

(2018) Tai H. Dou et al.   PLoS One

Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas

(2018) Niha Beig et al.   RADIOLOGY

Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI

(2017) Yuhao Dong et al.   EUROPEAN RADIOLOGY

Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.

(2017) Sebastian Bickelhaupt et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy

(2016) Jia Wu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays

(2016) Hui Li et al.   RADIOLOGY

Pretreatment MR Imaging Features of Triple-Negative Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival

(2016) Min Sun Bae et al.   RADIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor

(2016) Prateek Prasanna et al.   Scientific Reports

Tumor-Infiltrating Lymphocytes in Breast Cancer: Ready for Prime Time?

(2015) Alberto Ocaña et al.   JOURNAL OF CLINICAL ONCOLOGY

Focal breast edema associated with malignancy on T2-weighted images of breast MRI: peritumoral edema, prepectoral edema, and subcutaneous edema

(2014) Takayoshi Uematsu   Breast Cancer

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Why the stroma matters in breast cancer

(2012) Matthew W. Conklin et al.   Cell Adhesion & Migration

Peritumoral edema on MRI at initial diagnosis: an independent prognostic factor for glioblastoma?

(2009) K. Schoenegger et al.   EUROPEAN JOURNAL OF NEUROLOGY