Multimodal Radiomic Features for the Predicting Gleason Score of Prostate Cancer

Support Vector Machines (SVM) classification of prostate cancer Gleason score in central gland using multiparametric magnetic resonance images: A cross-validated study

(2018) Jiance Li et al.   EUROPEAN JOURNAL OF RADIOLOGY

Prediction of survival with multi-scale radiomic analysis in glioblastoma patients

(2018) Ahmad Chaddad et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Prostate cancer grading: a decade after the 2005 modified system

(2018) Jonathan I Epstein   MODERN PATHOLOGY

Historical and contemporary perspectives on cribriform morphology in prostate cancer

(2018) Matthew Truong et al.   Nature Reviews Urology

Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study

(2018) Aritrick Chatterjee et al.   RADIOLOGY

Novel Radiomic Features based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time

(2018) Ahmad Chaddad et al.   IEEE Journal of Biomedical and Health Informatics

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2016

(2018) et al.   JAMA Oncology

A Magnetic Resonance Imaging–Based Prediction Model for Prostate Biopsy Risk Stratification

(2018) Sherif Mehralivand et al.   JAMA Oncology

Radiomics Evaluation of Histological Heterogeneity Using Multiscale Textures Derived From 3D Wavelet Transformation of Multispectral Images

(2018) Ahmad Chaddad et al.   Frontiers in Oncology

Predicting survival time of lung cancer patients using radiomic analysis

(2017) Ahmad Chaddad et al.   Oncotarget

Imaging Locally Advanced, Recurrent, and Metastatic Prostate Cancer

(2017) Maria L. Lindenberg et al.   JAMA Oncology

Making Molecular Imaging a Clinical Tool for Precision Oncology

(2017) David A. Mankoff et al.   JAMA Oncology

Prostate imaging reporting and data system version 2 (PI-RADS v2): a pictorial review

(2016) Elmira Hassanzadeh et al.   Abdominal Radiology

The Potential of Radiomic-Based Phenotyping in Precision Medicine

(2016) Hugo J. W. L. Aerts   JAMA Oncology

Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

(2015) Andreas Wibmer et al.   EUROPEAN RADIOLOGY

Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate Cancer

(2015) M. Minhaj Siddiqui et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness

(2015) A Vignati et al.   PHYSICS IN MEDICINE AND BIOLOGY

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

(2015) Duc Fehr et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Histogram analysis of diffusion kurtosis magnetic resonance imaging in differentiation of pathologic Gleason grade of prostate cancer

(2015) Qing Wang et al.   UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS

Review by urological pathologists improves the accuracy of Gleason grading by general pathologists

(2015) Yasushi Nakai et al.   BMC Urology

High Risk of Under-Grading and -Staging in Prostate Cancer Patients Eligible for Active Surveillance

(2015) Isabel Heidegger et al.   PLoS One

Prostate MRI: Evaluating Tumor Volume and Apparent Diffusion Coefficient as Surrogate Biomarkers for Predicting Tumor Gleason Score

(2014) O. F. Donati et al.   CLINICAL CANCER RESEARCH

Computer-Aided Detection of Prostate Cancer in MRI

(2014) Geert Litjens et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Mortality and complications after prostate biopsy in the Prostate, Lung, Colorectal and Ovarian Cancer Screening (PLCO) trial

(2013) Paul F. Pinsky et al.   BJU INTERNATIONAL

Assessment of Prostate Cancer Aggressiveness Using Dynamic Contrast-enhanced Magnetic Resonance Imaging at 3 T

(2013) Eline K. Vos et al.   EUROPEAN UROLOGY

Washout gradient in dynamic contrast-enhanced MRI is associated with tumor aggressiveness of prostate cancer

(2012) Yu-Jen Chen et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Multiparametric MRI maps for detection and grading of dominant prostate tumors

(2012) Mehdi Moradi et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2-weighted MR imagery

(2012) Satish E. Viswanath et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS

(2012) Pallavi Tiwari et al.   MEDICAL IMAGE ANALYSIS

Computer-aided diagnosis of prostate cancer in the peripheral zone using multiparametric MRI

(2012) Emilie Niaf et al.   PHYSICS IN MEDICINE AND BIOLOGY

Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer

(2011) Thomas Hambrock et al.   RADIOLOGY

Diffusion-weighted Endorectal MR Imaging at 3 T for Prostate Cancer: Tumor Detection and Assessment of Aggressiveness

(2011) Hebert Alberto Vargas et al.   RADIOLOGY

Mortality Results from a Randomized Prostate-Cancer Screening Trial

(2009) Gerald L. Andriole et al.   NEW ENGLAND JOURNAL OF MEDICINE

Screening and Prostate-Cancer Mortality in a Randomized European Study

(2009) Fritz H. Schröder et al.   NEW ENGLAND JOURNAL OF MEDICINE

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS