CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics

(2019) Fanny Orlhac et al.   RADIOLOGY

A correlation research of Ki67 index, CT features, and risk stratification in gastrointestinal stromal tumor

(2018) Huali Li et al.   Cancer Medicine

Efficacy and Tolerability of 5-Year Adjuvant Imatinib Treatment for Patients With Resected Intermediate- or High-Risk Primary Gastrointestinal Stromal Tumor

(2018) Chandrajit P. Raut et al.   JAMA Oncology

Ki67 is a biological marker of malignant risk of gastrointestinal stromal tumors

(2017) Yu Zhou et al.   MEDICINE

Image analysis is an excellent tool for quantifying Ki-67 to predict the prognosis of gastrointestinal stromal tumor patients

(2017) Shintaro Sugita et al.   PATHOLOGY INTERNATIONAL

Correlation of Long-term Results of Imatinib in Advanced Gastrointestinal Stromal Tumors With Next-Generation Sequencing Results

(2017) Michael C. Heinrich et al.   JAMA Oncology

Whole-tumor MRI histogram analyses of hepatocellular carcinoma: Correlations with Ki-67 labeling index

(2016) Xin-Xing Hu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Measuring Computed Tomography Scanner Variability of Radiomics Features

(2015) Dennis Mackin et al.   INVESTIGATIVE RADIOLOGY

ibex: An open infrastructure software platform to facilitate collaborative work in radiomics

(2015) Lifei Zhang et al.   MEDICAL PHYSICS

Immunostaining of phospho-histone H3 and Ki-67 improves reproducibility of recurrence risk assessment of gastrointestinal stromal tumors

(2015) Arnaud Uguen et al.   VIRCHOWS ARCHIV

Clinicopathological significance of c-KIT mutation in gastrointestinal stromal tumors: a systematic review and meta-analysis

(2015) Lin Yan et al.   Scientific Reports

Preoperative Prediction of Ki-67 Labeling Index By Three-dimensional CT Image Parameters for Differential Diagnosis Of Ground-Glass Opacity (GGO)

(2015) Mingzheng Peng et al.   PLoS One

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

(2014) Yoganand Balagurunathan et al.   Translational Oncology

Does Immunohistochemistry Provide Additional Prognostic Data in Gastrointestinal Stromal Tumors?

(2013) Lutfiye Demir et al.   Asian Pacific Journal of Cancer Prevention

Role of Ki-67 as a prognostic factor in gastrointestinal stromal tumors

(2013) Borislav Belev   WORLD JOURNAL OF GASTROENTEROLOGY

Ki-67 expression score correlates to survival rate in gastrointestinal stromal tumors (GIST)

(2012) Ricardo Artigiani Neto et al.   Acta Cirurgica Brasileira

Risk stratification of patients diagnosed with gastrointestinal stromal tumor

(2008) Heikki Joensuu   HUMAN PATHOLOGY