Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study
Authors
Keywords
-
Journal
Cancers
Volume 12, Issue 8, Pages 2200
Publisher
MDPI AG
Online
2020-08-06
DOI
10.3390/cancers12082200
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Cancer statistics, 2020
- (2020) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study
- (2019) Satish E. Viswanath et al. BMC MEDICAL IMAGING
- Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard
- (2019) Wouter Bulten et al. Scientific Reports
- Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRI
- (2019) Matthew D. Greer et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings
- (2018) Rakesh Shiradkar et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings
- (2018) Ahmad Algohary et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- A Magnetic Resonance Imaging–Based Prediction Model for Prostate Biopsy Risk Stratification
- (2018) Sherif Mehralivand et al. JAMA Oncology
- Head-to-Head Comparison Between Biparametric and Multiparametric MRI for the Diagnosis of Prostate Cancer: A Systematic Review and Meta-Analysis
- (2018) Sungmin Woo et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2
- (2018) Tong Chen et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Comparison of PIRADS 3 lesions with histopathological findings after MRI-fusion targeted biopsy of the prostate in a real world-setting
- (2018) B. Schlenker et al. CLINICAL HEMORHEOLOGY AND MICROCIRCULATION
- Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas
- (2018) Niha Beig et al. RADIOLOGY
- Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors
- (2018) Andres N. Parra et al. Oncotarget
- Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer
- (2017) Jia Wu et al. RADIOLOGY
- Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI
- (2017) Yu-Cherng Channing Chang et al. Scientific Reports
- Computer-aided Detection of Prostate Cancer with MRI
- (2016) Lizhi Liu et al. ACADEMIC RADIOLOGY
- Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study
- (2016) Shoshana B. Ginsburg et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging
- (2016) Geert J. S. Litjens et al. RADIOLOGY
- Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor
- (2016) Prateek Prasanna et al. Scientific Reports
- PIRADS 2.0: what is new?
- (2015) Baris Turkbey et al. Diagnostic and Interventional Radiology
- Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference
- (2015) H. A. Vargas et al. EUROPEAN RADIOLOGY
- 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
- PIRADS 2.0: what is new?
- (2015) Baris Turkbey et al. Diagnostic and Interventional Radiology
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- High resolution in vivo characterization of apparent diffusion coefficient at the tumor-stromal boundary of breast carcinomas: A pilot study to assess treatment response using proximity-dependent diffusion-weighted imaging
- (2014) Rebekah L. McLaughlin et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- 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
- Evidence for field cancerization of the prostate
- (2009) Larisa Nonn et al. PROSTATE
- Breast Stromal Enhancement on MRI Is Associated with Response to Neoadjuvant Chemotherapy
- (2008) Jona Hattangadi et al. AMERICAN JOURNAL OF ROENTGENOLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started