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

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.

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Clinical utility of mono-exponential model diffusion weighted imaging using two b-values compared to the bi- or stretched exponential model for the diagnosis of biliary atresia in infant liver MRI

PLoS ONE ◽

10.1371/journal.pone.0226627 ◽

2019 ◽

Vol 14 (12) ◽

pp. e0226627 ◽

Cited By ~ 1

Author(s):

Jisoo Kim ◽

Haesung Yoon ◽

Mi-Jung Lee ◽

Myung-Joon Kim ◽

Kyunghwa Han ◽

...

Keyword(s):

Biliary Atresia ◽

Diffusion Weighted Imaging ◽

Clinical Utility ◽

Exponential Model ◽

Liver Mri ◽

B Values ◽

Stretched Exponential ◽

Diffusion Weighted ◽

Model Diffusion ◽

Stretched Exponential Model

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Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: A repeatability study

Magnetic Resonance in Medicine ◽

10.1002/mrm.25323 ◽

2014 ◽

Vol 73 (5) ◽

pp. 1988-1998 ◽

Cited By ~ 52

Author(s):

Ivan Jambor ◽

Harri Merisaari ◽

Pekka Taimen ◽

Peter Boström ◽

Heikki Minn ◽

...

Keyword(s):

Prostate Cancer ◽

Mathematical Models ◽

Diffusion Weighted Imaging ◽

Normal Prostate ◽

B Values ◽

Diffusion Weighted

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Mathematical models for diffusion-weighted imaging of prostate cancer using b values up to 2000 s/mm2 : Correlation with Gleason score and repeatability of region of interest analysis

Magnetic Resonance in Medicine ◽

10.1002/mrm.25482 ◽

2014 ◽

Vol 74 (4) ◽

pp. 1116-1124 ◽

Cited By ~ 34

Author(s):

Jussi Toivonen ◽

Harri Merisaari ◽

Marko Pesola ◽

Pekka Taimen ◽

Peter J. Boström ◽

...

Keyword(s):

Prostate Cancer ◽

Mathematical Models ◽

Gleason Score ◽

Diffusion Weighted Imaging ◽

Region Of Interest ◽

B Values ◽

Diffusion Weighted

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Histogram analysis from stretched exponential model on diffusion-weighted imaging: evaluation of clinically significant prostate cancer

British Journal of Radiology ◽

10.1259/bjr.20190757 ◽

2020 ◽

Vol 93 (1106) ◽

pp. 20190757

Author(s):

EunJu Kim ◽

Chan Kyo Kim ◽

Hyun Soo Kim ◽

Dong Pyo Jang ◽

In Young Kim ◽

...

Keyword(s):

Prostate Cancer ◽

Diffusion Coefficient ◽

Diffusion Weighted Imaging ◽

Exponential Model ◽

Histogram Analysis ◽

Prostate Imaging ◽

Diffusion Weighted ◽

Clinically Significant ◽

Skewness And Kurtosis ◽

Stretched Exponential Model

Objective: To evaluate the usefulness of histogram analysis of stretched exponential model (SEM) on diffusion-weighted imaging in evaluating clinically significant prostate cancer (CSC). Methods: A total of 85 patients with prostate cancer underwent 3 T multiparametric MRI, followed by radical prostatectomy. Histogram parameters of the tumor from the SEM [distributed diffusion coefficient (DDC) and α] and the monoexponential model [MEM; apparent diffusion coefficient (ADC)] were evaluated. The associations between parameters and Gleason score or Prostate Imaging Reporting and Data System v. 2 were evaluated. The area under the receiver operating characteristics curve was calculated to evaluate diagnostic performance of parameters in predicting CSC. Results: The values of histogram parameters of DDC and ADC were significantly lower in patients with CSC than in patients without CSC (p < 0.05), except for skewness and kurtosis. The value of the 25th percentile of α was significantly lower in patients with CSC than in patients without CSC (p = 0.014). Histogram parameters of ADC and DDC had significant weak to moderate negative associations with Gleason score or Prostate Imaging Reporting and Data System v. 2 (p < 0.001), except for skewness and kurtosis. For predicting CSC, the area under the curves of mean ADC (0.856), 50th percentile DDC (0.852), and 25th percentile α (0.707) yielded the highest values compared to other histogram parameters from each group. Conclusion: Histogram analysis of the SEM on diffusion-weighted imaging may be a useful quantitative tool for evaluating CSC. However, the SEM did not outperform the MEM. Advances in knowledge: Histogram parameters of SEM may be useful for evaluating CSC.

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