Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study

Detection of Prostate Cancer: Quantitative Multiparametric MR Imaging Models Developed Using Registered Correlative Histopathology

(2016) Gregory J. Metzger et al.   RADIOLOGY

Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging

(2016) Geert J. S. Litjens et al.   RADIOLOGY

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

Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer

(2015) Asha Singanamalli et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Automated prostate cancer detection usingT2-weighted and high-b-value diffusion-weighted magnetic resonance imaging

(2015) Jin Tae Kwak et al.   MEDICAL PHYSICS

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

Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

(2015) Farzad Khalvati et al.   BMC MEDICAL IMAGING

Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI

(2014) Nikolaos Dikaios et al.   EUROPEAN RADIOLOGY

MR-sequences for prostate cancer diagnostics: validation based on the PI-RADS scoring system and targeted MR-guided in-bore biopsy

(2014) Lars Schimmöller et al.   EUROPEAN RADIOLOGY

Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors

(2014) Shoshana B. Ginsburg et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Prebiopsy multiparametric 3T prostate MRI in patients with elevated PSA, normal digital rectal examination, and no previous biopsy

(2014) Ivan Jambor et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Incremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma

(2014) José Fernando García Molina et al.   PLoS One

Validation of Quantitative Analysis of Multiparametric Prostate MR Images for Prostate Cancer Detection and Aggressiveness Assessment: A Cross-Imager Study

(2014) Yahui Peng et al.   RADIOLOGY

Diffusion-Weighted Magnetic Resonance Imaging in the Prostate Transition Zone

(2013) Caroline M. A. Hoeks et al.   INVESTIGATIVE RADIOLOGY

Pilot study of a novel tool for input-free automated identification of transition zone prostate tumors using T2- and diffusion-weighted signal and textural features

(2013) Joseph N. Stember 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

Decision support system for localizing prostate cancer based on multiparametric magnetic resonance imaging

(2012) Vijay Shah et al.   MEDICAL PHYSICS

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

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

Prostate Cancer: Computer-aided Diagnosis with Multiparametric 3-T MR Imaging—Effect on Observer Performance

(2012) Thomas Hambrock et al.   RADIOLOGY

Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information

(2011) Jonathan Chappelow et al.   MEDICAL PHYSICS

An Update of the Gleason Grading System

(2009) Jonathan I. Epstein   JOURNAL OF UROLOGY

Central Zone Carcinoma of the Prostate Gland: A Distinct Tumor Type With Poor Prognostic Features

(2008) Ronald J. Cohen et al.   JOURNAL OF UROLOGY