Optimization ofb-value distribution for four mathematical models of prostate cancer diffusion-weighted imaging usingbvalues up to 2000 s/mm2: Simulation and repeatability study

2014 ◽  
Vol 73 (5) ◽  
pp. 1954-1969 ◽  
Author(s):  
Harri Merisaari ◽  
Ivan Jambor
Keyword(s):  
Prostate Cancer ◽  
Mathematical Models ◽  
Diffusion Weighted Imaging ◽  
Value Distribution ◽  
Diffusion Weighted

Diffusion-weighted imaging of prostate cancer: effect of b-value distribution on repeatability and cancer characterization

2015 ◽  
Vol 33 (10) ◽  
pp. 1212-1218 ◽  
Author(s):  
Harri Merisaari ◽  
Jussi Toivonen ◽  
Marko Pesola ◽  
Pekka Taimen ◽  
Peter J. Boström ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
Value Distribution ◽  
Diffusion Weighted

scholarly journals Statistical Evaluation of Different Mathematical Models for Diffusion Weighted Imaging of Prostate Cancer Xenografts in Mice

2021 ◽  
Vol 11 ◽  
Author(s):  
Harri Merisaari ◽  
Hanne Laakso ◽  
Heidi Liljenbäck ◽  
Helena Virtanen ◽  
Hannu J. Aronen ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Growth ◽  
Mathematical Models ◽  
Diffusion Weighted Imaging ◽  
Exponential Model ◽  
Information Criteria ◽  
B Values ◽  
Stretched Exponential ◽  
Diffusion Weighted ◽  
Mouse Xenograft Model

PurposeTo evaluate fitting quality and repeatability of four mathematical models for diffusion weighted imaging (DWI) during tumor progression in mouse xenograft model of prostate cancer.MethodsHuman prostate cancer cells (PC-3) were implanted subcutaneously in right hind limbs of 11 immunodeficient mice. Tumor growth was followed by weekly DWI examinations using a 7T MR scanner. Additional DWI examination was performed after repositioning following the fourth DWI examination to evaluate short term repeatability. DWI was performed using 15 and 12 b-values in the ranges of 0-500 and 0-2000 s/mm2, respectively. Corrected Akaike information criteria and F-ratio were used to evaluate fitting quality of each model (mono-exponential, stretched exponential, kurtosis, and bi-exponential).ResultsSignificant changes were observed in DWI data during the tumor growth, indicated by ADCm, ADCs, and ADCk. Similar results were obtained using low as well as high b-values. No marked changes in model preference were present between the weeks 1−4. The parameters of the mono-exponential, stretched exponential, and kurtosis models had smaller confidence interval and coefficient of repeatability values than the parameters of the bi-exponential model.ConclusionStretched exponential and kurtosis models showed better fit to DWI data than the mono-exponential model and presented with good repeatability.

Diffusion-weighted imaging of prostate cancer using a statistical model based on the gamma distribution

2014 ◽  
Vol 42 (1) ◽  
pp. 56-62 ◽  
Author(s):  
Hiroshi Shinmoto ◽  
Koichi Oshio ◽  
Chiharu Tamura ◽  
Shigeyoshi Soga ◽  
Teppei Okamura ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Statistical Model ◽  
Gamma Distribution ◽  
Diffusion Weighted Imaging ◽  
Model Based ◽  
Diffusion Weighted

Usefulness of Diffusion-Weighted Imaging in the Localization of Prostate Cancer

2009 ◽  
Vol 74 (2) ◽  
pp. 399-403 ◽  
Author(s):  
Hiroo Kajihara ◽  
Yoshiko Hayashida ◽  
Ryuji Murakami ◽  
Kazuhiro Katahira ◽  
Ryuichi Nishimura ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Diffusion Weighted Imaging ◽  
Diffusion Weighted

Luminal Water Imaging: Comparison With Diffusion‐Weighted Imaging (DWI) and PI‐RADS for Characterization of Prostate Cancer Aggressiveness

2020 ◽  
Vol 52 (1) ◽  
pp. 271-279 ◽  
Author(s):  
Stefanie J. Hectors ◽  
Daniela Said ◽  
Jeffrey Gnerre ◽  
Ashutosh Tewari ◽  
Bachir Taouli
Keyword(s):  
Prostate Cancer ◽  
Diffusion Weighted Imaging ◽  
Diffusion Weighted ◽  
Cancer Aggressiveness
Sign in / Sign up

Export Citation Format

Share Document