Intravoxel incoherent motion (IVIM) diffusion imaging in prostate cancer - what does it add?. Kuru, T. H., Roethke, M. C., Stieltjes, B., Maier-Hein, K., Schlemmer, H., Hadaschik, B. A., & Fenchel, M. Journal of Computer Assisted Tomography, 38(4):558--564, August, 2014. doi abstract bibtex OBJECTIVE: To compare 2 previously presented algorithms for extracting parameters from intravoxel incoherent motion (IVIM) studies and investigate them in the context of tissue differentiation. METHODS: Magnetic resonance imaging (MRI) was performed in 23 patients without histologically proven prostate carcinoma (PCa) and 27 patients with histologically proven PCa. Two methods were used to determine IVIM parameters (f, D, D*). Receiver operating characteristic analysis was performed for IVIM parameters and apparent diffusion coefficient for discrimination of prostate tissue. RESULTS: The IVIM parameters showed no significant difference between patients without PCa and normal areas in patients with PCa (r = 0.46-0.99). Results for D were not significantly different for both methods (P = 0.22), whereas f from method 1 was significantly higher than the f from method 2 (P \textless 0.05). The diffusion parameters D (both methods) and apparent diffusion coefficient could discriminate between tumor and normal areas (receiver operating characteristic analysis, area under the curve, ≥0.90). Additionally, in subgroup analysis, only D was able to discriminate between low- and high-grade PCa. CONCLUSIONS: For tumor detection, IVIM diffusion does not yield a clear added value, but the perfusion-free diffusion constant D may hold potential for improved image-based tumor grading.
@article{kuru_intravoxel_2014,
title = {Intravoxel incoherent motion ({IVIM}) diffusion imaging in prostate cancer - what does it add?},
volume = {38},
issn = {1532-3145},
doi = {10.1097/RCT.0000000000000088},
abstract = {OBJECTIVE: To compare 2 previously presented algorithms for extracting parameters from intravoxel incoherent motion (IVIM) studies and investigate them in the context of tissue differentiation.
METHODS: Magnetic resonance imaging (MRI) was performed in 23 patients without histologically proven prostate carcinoma (PCa) and 27 patients with histologically proven PCa. Two methods were used to determine IVIM parameters (f, D, D*). Receiver operating characteristic analysis was performed for IVIM parameters and apparent diffusion coefficient for discrimination of prostate tissue.
RESULTS: The IVIM parameters showed no significant difference between patients without PCa and normal areas in patients with PCa (r = 0.46-0.99). Results for D were not significantly different for both methods (P = 0.22), whereas f from method 1 was significantly higher than the f from method 2 (P {\textless} 0.05). The diffusion parameters D (both methods) and apparent diffusion coefficient could discriminate between tumor and normal areas (receiver operating characteristic analysis, area under the curve, ≥0.90). Additionally, in subgroup analysis, only D was able to discriminate between low- and high-grade PCa.
CONCLUSIONS: For tumor detection, IVIM diffusion does not yield a clear added value, but the perfusion-free diffusion constant D may hold potential for improved image-based tumor grading.},
language = {eng},
number = {4},
journal = {Journal of Computer Assisted Tomography},
author = {Kuru, Timur H. and Roethke, Matthias C. and Stieltjes, Bram and Maier-Hein, Klaus and Schlemmer, Heinz-Peter and Hadaschik, Boris A. and Fenchel, Michael},
month = aug,
year = {2014},
keywords = {Aged, Aged, 80 and over, Algorithms, Artifacts, Butylscopolammonium Bromide, Contrast Media, Diffusion Magnetic Resonance Imaging, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Male, Middle Aged, Motion, Observer Variation, Prostate, Prostatic Neoplasms, ROC Curve, Retrospective Studies},
pages = {558--564}
}
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RESULTS: The IVIM parameters showed no significant difference between patients without PCa and normal areas in patients with PCa (r = 0.46-0.99). Results for D were not significantly different for both methods (P = 0.22), whereas f from method 1 was significantly higher than the f from method 2 (P \\textless 0.05). The diffusion parameters D (both methods) and apparent diffusion coefficient could discriminate between tumor and normal areas (receiver operating characteristic analysis, area under the curve, ≥0.90). Additionally, in subgroup analysis, only D was able to discriminate between low- and high-grade PCa. CONCLUSIONS: For tumor detection, IVIM diffusion does not yield a clear added value, but the perfusion-free diffusion constant D may hold potential for improved image-based tumor grading.","language":"eng","number":"4","journal":"Journal of Computer Assisted Tomography","author":[{"propositions":[],"lastnames":["Kuru"],"firstnames":["Timur","H."],"suffixes":[]},{"propositions":[],"lastnames":["Roethke"],"firstnames":["Matthias","C."],"suffixes":[]},{"propositions":[],"lastnames":["Stieltjes"],"firstnames":["Bram"],"suffixes":[]},{"propositions":[],"lastnames":["Maier-Hein"],"firstnames":["Klaus"],"suffixes":[]},{"propositions":[],"lastnames":["Schlemmer"],"firstnames":["Heinz-Peter"],"suffixes":[]},{"propositions":[],"lastnames":["Hadaschik"],"firstnames":["Boris","A."],"suffixes":[]},{"propositions":[],"lastnames":["Fenchel"],"firstnames":["Michael"],"suffixes":[]}],"month":"August","year":"2014","keywords":"Aged, Aged, 80 and over, Algorithms, Artifacts, Butylscopolammonium Bromide, Contrast Media, Diffusion Magnetic Resonance Imaging, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Male, Middle Aged, Motion, Observer Variation, Prostate, Prostatic Neoplasms, ROC Curve, Retrospective Studies","pages":"558--564","bibtex":"@article{kuru_intravoxel_2014,\n\ttitle = {Intravoxel incoherent motion ({IVIM}) diffusion imaging in prostate cancer - what does it add?},\n\tvolume = {38},\n\tissn = {1532-3145},\n\tdoi = {10.1097/RCT.0000000000000088},\n\tabstract = {OBJECTIVE: To compare 2 previously presented algorithms for extracting parameters from intravoxel incoherent motion (IVIM) studies and investigate them in the context of tissue differentiation.\nMETHODS: Magnetic resonance imaging (MRI) was performed in 23 patients without histologically proven prostate carcinoma (PCa) and 27 patients with histologically proven PCa. Two methods were used to determine IVIM parameters (f, D, D*). Receiver operating characteristic analysis was performed for IVIM parameters and apparent diffusion coefficient for discrimination of prostate tissue.\nRESULTS: The IVIM parameters showed no significant difference between patients without PCa and normal areas in patients with PCa (r = 0.46-0.99). Results for D were not significantly different for both methods (P = 0.22), whereas f from method 1 was significantly higher than the f from method 2 (P {\\textless} 0.05). The diffusion parameters D (both methods) and apparent diffusion coefficient could discriminate between tumor and normal areas (receiver operating characteristic analysis, area under the curve, ≥0.90). 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