Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Christopher S Lim

Showing results (11-20 of 26) with videos related to

Pageof 3
Sort By:
European Radiology|March 30, 2021
Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone 'nodule in nodule' and 'homogeneous mildly hypointense area between nodules' criteria: MRI-radical prostatectomy histopathological evaluationChristopher S Lim, Jorge Abreu-Gomez, Trevor A Flood, et al.
Canadian Urological Association Journal = Journal De L'Association Des Urologues Du Canada|October 2, 2020
When to biopsy Prostate Imaging and Data Reporting System version 2 (PI-RADSv2) assessment category 3 lesions? Use of clinical and imaging variables to predict cancer diagnosis at targeted biopsyChristopher S Lim, Jorge Abreu-Gomez, Michel-Alexandre Leblond, et al.
Abdominal Radiology (New York)|September 1, 2021
Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosisChristopher S Lim, Jorge Abreu-Gomez, Rebecca Thornhill, et al.
AJR. American Journal of Roentgenology|March 8, 2017
Prostate Imaging Reporting and Data System, Version 2, Assessment Categories and Pathologic Outcomes in Patients With Gleason Score 3 + 4 = 7 Prostate Cancer Diagnosed at BiopsyChristopher S Lim, Matthew D F McInnes, Trevor A Flood, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 8, 2017
Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancerSatheesh Krishna, Christopher S Lim, Matthew D F McInnes, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 16, 2020
Quantitative Prostate MRINicola Schieda, Christopher S Lim, Fatemeh Zabihollahy, et al.
Seminars in Nuclear Medicine|March 2, 2019
Reporting Guidelines for Imaging ResearchMatthew D F McInnes, Christopher S Lim, Christian B van der Pol, et al.
AJR. American Journal of Roentgenology|March 13, 2019
Use of Quantitative T2-Weighted and Apparent Diffusion Coefficient Texture Features of Bladder Cancer and Extravesical Fat for Local Tumor Staging After Transurethral ResectionChristopher S Lim, Sree Tirumani, Christian B van der Pol, et al.
Protein Science : a Publication of the Protein Society|September 11, 2018
A threonine zipper that mediates protein-protein interactions: Structure and predictionCurran Oi, John D Treado, Zachary A Levine, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 12, 2016
MRI assessment of pathological stage and surgical margins in anterior prostate cancer (APC) using subjective and quantitative analysisNicola Schieda, Christopher S Lim, Muhammad Idris, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
European Radiology|March 30, 2021
Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone 'nodule in nodule' and 'homogeneous mildly hypointense area between nodules' criteria: MRI-radical prostatectomy histopathological evaluationChristopher S Lim, Jorge Abreu-Gomez, Trevor A Flood, et al.
Canadian Urological Association Journal = Journal De L'Association Des Urologues Du Canada|October 2, 2020
When to biopsy Prostate Imaging and Data Reporting System version 2 (PI-RADSv2) assessment category 3 lesions? Use of clinical and imaging variables to predict cancer diagnosis at targeted biopsyChristopher S Lim, Jorge Abreu-Gomez, Michel-Alexandre Leblond, et al.
Abdominal Radiology (New York)|September 1, 2021
Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosisChristopher S Lim, Jorge Abreu-Gomez, Rebecca Thornhill, et al.
AJR. American Journal of Roentgenology|March 8, 2017
Prostate Imaging Reporting and Data System, Version 2, Assessment Categories and Pathologic Outcomes in Patients With Gleason Score 3 + 4 = 7 Prostate Cancer Diagnosed at BiopsyChristopher S Lim, Matthew D F McInnes, Trevor A Flood, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 8, 2017
Evaluation of MRI for diagnosis of extraprostatic extension in prostate cancerSatheesh Krishna, Christopher S Lim, Matthew D F McInnes, et al.
Journal of Magnetic Resonance Imaging : JMRI|May 16, 2020
Quantitative Prostate MRINicola Schieda, Christopher S Lim, Fatemeh Zabihollahy, et al.
Seminars in Nuclear Medicine|March 2, 2019
Reporting Guidelines for Imaging ResearchMatthew D F McInnes, Christopher S Lim, Christian B van der Pol, et al.
AJR. American Journal of Roentgenology|March 13, 2019
Use of Quantitative T2-Weighted and Apparent Diffusion Coefficient Texture Features of Bladder Cancer and Extravesical Fat for Local Tumor Staging After Transurethral ResectionChristopher S Lim, Sree Tirumani, Christian B van der Pol, et al.
Protein Science : a Publication of the Protein Society|September 11, 2018
A threonine zipper that mediates protein-protein interactions: Structure and predictionCurran Oi, John D Treado, Zachary A Levine, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 12, 2016
MRI assessment of pathological stage and surgical margins in anterior prostate cancer (APC) using subjective and quantitative analysisNicola Schieda, Christopher S Lim, Muhammad Idris, et al.
Pageof 3