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Published in: Abdominal Radiology 5/2016

01-05-2016

Evaluation of the impact of computed high b-value diffusion-weighted imaging on prostate cancer detection

Authors: Sadhna Verma, Saradwata Sarkar, Jason Young, Rajesh Venkataraman, Xu Yang, Anil Bhavsar, Nilesh Patil, James Donovan, Krishnanath Gaitonde

Published in: Abdominal Radiology | Issue 5/2016

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Abstract

Purpose

The purpose of this study was to compare high b-value (b = 2000 s/mm2) acquired diffusion-weighted imaging (aDWI) with computed DWI (cDWI) obtained using four diffusion models—mono-exponential (ME), intra-voxel incoherent motion (IVIM), stretched exponential (SE), and diffusional kurtosis (DK)—with respect to lesion visibility, conspicuity, contrast, and ability to predict significant prostate cancer (PCa).

Methods

Ninety four patients underwent 3 T MRI including acquisition of b = 2000 s/mm2 aDWI and low b-value DWI. High b = 2000 s/mm2 cDWI was obtained using ME, IVIM, SE, and DK models. All images were scored on quality independently by three radiologists. Lesions were identified on all images and graded for lesion conspicuity. For a subset of lesions for which pathological truth was established, lesion-to-background contrast ratios (LBCRs) were computed and binomial generalized linear mixed model analysis was conducted to compare clinically significant PCa predictive capabilities of all DWI.

Results

For all readers and all models, cDWI demonstrated higher ratings for image quality and lesion conspicuity than aDWI except DK (p < 0.001). The LBCRs of ME, IVIM, and SE were significantly higher than LBCR of aDWI (p < 0.001). Receiver Operating Characteristic curves obtained from binomial generalized linear mixed model analysis demonstrated higher Area Under the Curves for ME, SE, IVIM, and aDWI compared to DK or PSAD alone in predicting significant PCa.

Conclusion

High b-value cDWI using ME, IVIM, and SE diffusion models provide better image quality, lesion conspicuity, and increased LBCR than high b-value aDWI. Using cDWI can potentially provide comparable sensitivity and specificity for detecting significant PCa as high b-value aDWI without increased scan times and image degradation artifacts.
Literature
2.
go back to reference Loch T, Eppelmann U, Lehmann J, et al. (2004) Transrectal ultrasound guided biopsy of the prostate: random sextant versus biopsies of sono-morphologically suspicious lesions. World J Urol 22(5):357–360CrossRefPubMed Loch T, Eppelmann U, Lehmann J, et al. (2004) Transrectal ultrasound guided biopsy of the prostate: random sextant versus biopsies of sono-morphologically suspicious lesions. World J Urol 22(5):357–360CrossRefPubMed
7.
go back to reference Mouraviev V, Verma S, Kalyanaraman B, et al. (2013) The feasibility of multiparametric magnetic resonance imaging for targeted biopsy using novel navigation systems to detect early stage prostate cancer: the preliminary experience. J Endourol 27(7):820–825. doi:10.1089/end.2012.0215 CrossRefPubMed Mouraviev V, Verma S, Kalyanaraman B, et al. (2013) The feasibility of multiparametric magnetic resonance imaging for targeted biopsy using novel navigation systems to detect early stage prostate cancer: the preliminary experience. J Endourol 27(7):820–825. doi:10.​1089/​end.​2012.​0215 CrossRefPubMed
11.
go back to reference Chatterjee A, Watson G, Myint E, et al. (2015) Changes in epithelium, stroma, and lumen space correlate more strongly with gleason pattern and are stronger predictors of prostate ADC changes than cellularity metrics. Radiology 277(3):751–762. doi:10.1148/radiol.2015142414 CrossRefPubMed Chatterjee A, Watson G, Myint E, et al. (2015) Changes in epithelium, stroma, and lumen space correlate more strongly with gleason pattern and are stronger predictors of prostate ADC changes than cellularity metrics. Radiology 277(3):751–762. doi:10.​1148/​radiol.​2015142414 CrossRefPubMed
12.
go back to reference Rosenkrantz AB, Hindman N, Lim RP, et al. (2013) Diffusion-weighted imaging of the prostate: comparison of b1000 and b2000 image sets for index lesion detection. J Magn Reson Imaging . doi:10.1002/jmri.24016 Rosenkrantz AB, Hindman N, Lim RP, et al. (2013) Diffusion-weighted imaging of the prostate: comparison of b1000 and b2000 image sets for index lesion detection. J Magn Reson Imaging . doi:10.​1002/​jmri.​24016
13.
go back to reference Ben-Amitay S, Jones DK, Assaf Y (2012) Motion correction and registration of high b-value diffusion weighted images. Magn Reson Med 67:1694–1702CrossRefPubMed Ben-Amitay S, Jones DK, Assaf Y (2012) Motion correction and registration of high b-value diffusion weighted images. Magn Reson Med 67:1694–1702CrossRefPubMed
19.
go back to reference Le Bihan D, Breton E, Lallemand D, et al. (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168(2):497–505CrossRefPubMed Le Bihan D, Breton E, Lallemand D, et al. (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168(2):497–505CrossRefPubMed
21.
go back to reference Rosenkrantz AB, Sigmund EE, Johnson G, et al. (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology 264(1):126–135. doi:10.1148/radiol.12112290 CrossRefPubMed Rosenkrantz AB, Sigmund EE, Johnson G, et al. (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology 264(1):126–135. doi:10.​1148/​radiol.​12112290 CrossRefPubMed
23.
go back to reference Bourne RM, Panagiotaki E, Bongers A, et al. (2014) Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo. Magn Reson Med. 72(5):1418–1426. doi:10.1002/mrm.25032 CrossRefPubMed Bourne RM, Panagiotaki E, Bongers A, et al. (2014) Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo. Magn Reson Med. 72(5):1418–1426. doi:10.​1002/​mrm.​25032 CrossRefPubMed
24.
go back to reference Jambor I, Merisaari H, Taimen P, et al. (2015) Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: a repeatability study. Magn Reson Med. 73(5):1988–1998. doi:10.1002/mrm.25323 CrossRefPubMed Jambor I, Merisaari H, Taimen P, et al. (2015) Evaluation of different mathematical models for diffusion-weighted imaging of normal prostate and prostate cancer using high b-values: a repeatability study. Magn Reson Med. 73(5):1988–1998. doi:10.​1002/​mrm.​25323 CrossRefPubMed
29.
go back to reference Liu X, Zhou L, Peng W, Wang H, Zhang Y (2015) Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues. J Magn Reson Imaging . doi:10.1002/jmri.24872 Liu X, Zhou L, Peng W, Wang H, Zhang Y (2015) Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues. J Magn Reson Imaging . doi:10.​1002/​jmri.​24872
30.
go back to reference Boesen L, Chabanova E, Løgager V, et al. (2015) Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology. J Magn Reson Imaging. 42(2):446–453. doi:10.1002/jmri.24801 CrossRefPubMed Boesen L, Chabanova E, Løgager V, et al. (2015) Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology. J Magn Reson Imaging. 42(2):446–453. doi:10.​1002/​jmri.​24801 CrossRefPubMed
Metadata
Title
Evaluation of the impact of computed high b-value diffusion-weighted imaging on prostate cancer detection
Authors
Sadhna Verma
Saradwata Sarkar
Jason Young
Rajesh Venkataraman
Xu Yang
Anil Bhavsar
Nilesh Patil
James Donovan
Krishnanath Gaitonde
Publication date
01-05-2016
Publisher
Springer US
Published in
Abdominal Radiology / Issue 5/2016
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-015-0619-1

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