Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer

Gene Young Cho; Linda Moy; Jeff L. Zhang; Steven Baete; Riccardo Lattanzi; Melanie Moccaldi; James S. Babb; Sungheon Kim; Daniel K. Sodickson; Eric E. Sigmund

doi:10.1002/mrm.25484

Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer

Gene Young Cho, Linda Moy, Jeff L. Zhang, Steven Baete, Riccardo Lattanzi, Melanie Moccaldi, James S. Babb, Sungheon Kim, Daniel K. Sodickson, Eric E. Sigmund

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Purpose To compare fitting methods and sampling strategies, including the implementation of an optimized b-value selection for improved estimation of intravoxel incoherent motion (IVIM) parameters in breast cancer. Methods Fourteen patients (age, 48.4 ± 14.27 years) with cancerous lesions underwent 3 Tesla breast MRI examination for a HIPAA-compliant, institutional review board approved diffusion MR study. IVIM biomarkers were calculated using "free" versus "segmented" fitting for conventional or optimized (repetitions of key b-values) b-value selection. Monte Carlo simulations were performed over a range of IVIM parameters to evaluate methods of analysis. Relative bias values, relative error, and coefficients of variation (CV) were obtained for assessment of methods. Statistical paired t-tests were used for comparison of experimental mean values and errors from each fitting and sampling method. Results Comparison of the different analysis/sampling methods in simulations and experiments showed that the "segmented" analysis and the optimized method have higher precision and accuracy, in general, compared with "free" fitting of conventional sampling when considering all parameters. Regarding relative bias, IVIM parameters f_p and D_t differed significantly between "segmented" and "free" fitting methods. Conclusion IVIM analysis may improve using optimized selection and "segmented" analysis, potentially enabling better differentiation of breast cancer subtypes and monitoring of treatment.

Original language	English (US)
Pages (from-to)	1077-1085
Number of pages	9
Journal	Magnetic resonance in medicine
Volume	74
Issue number	4
DOIs	https://doi.org/10.1002/mrm.25484
State	Published - Oct 1 2015

Keywords

IVIM
b-value optimization
breast cancer
diffusion gradient
diffusion weighted MRI

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1002/mrm.25484

Cite this

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title = "Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer",

abstract = "Purpose To compare fitting methods and sampling strategies, including the implementation of an optimized b-value selection for improved estimation of intravoxel incoherent motion (IVIM) parameters in breast cancer. Methods Fourteen patients (age, 48.4 ± 14.27 years) with cancerous lesions underwent 3 Tesla breast MRI examination for a HIPAA-compliant, institutional review board approved diffusion MR study. IVIM biomarkers were calculated using {"}free{"} versus {"}segmented{"} fitting for conventional or optimized (repetitions of key b-values) b-value selection. Monte Carlo simulations were performed over a range of IVIM parameters to evaluate methods of analysis. Relative bias values, relative error, and coefficients of variation (CV) were obtained for assessment of methods. Statistical paired t-tests were used for comparison of experimental mean values and errors from each fitting and sampling method. Results Comparison of the different analysis/sampling methods in simulations and experiments showed that the {"}segmented{"} analysis and the optimized method have higher precision and accuracy, in general, compared with {"}free{"} fitting of conventional sampling when considering all parameters. Regarding relative bias, IVIM parameters fp and Dt differed significantly between {"}segmented{"} and {"}free{"} fitting methods. Conclusion IVIM analysis may improve using optimized selection and {"}segmented{"} analysis, potentially enabling better differentiation of breast cancer subtypes and monitoring of treatment.",

keywords = "IVIM, b-value optimization, breast cancer, diffusion gradient, diffusion weighted MRI",

author = "Cho, {Gene Young} and Linda Moy and Zhang, {Jeff L.} and Steven Baete and Riccardo Lattanzi and Melanie Moccaldi and Babb, {James S.} and Sungheon Kim and Sodickson, {Daniel K.} and Sigmund, {Eric E.}",

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year = "2015",

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doi = "10.1002/mrm.25484",

language = "English (US)",

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T1 - Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer

AU - Cho, Gene Young

AU - Moy, Linda

AU - Zhang, Jeff L.

AU - Baete, Steven

AU - Lattanzi, Riccardo

AU - Moccaldi, Melanie

AU - Babb, James S.

AU - Kim, Sungheon

AU - Sodickson, Daniel K.

AU - Sigmund, Eric E.

PY - 2015/10/1

Y1 - 2015/10/1

N2 - Purpose To compare fitting methods and sampling strategies, including the implementation of an optimized b-value selection for improved estimation of intravoxel incoherent motion (IVIM) parameters in breast cancer. Methods Fourteen patients (age, 48.4 ± 14.27 years) with cancerous lesions underwent 3 Tesla breast MRI examination for a HIPAA-compliant, institutional review board approved diffusion MR study. IVIM biomarkers were calculated using "free" versus "segmented" fitting for conventional or optimized (repetitions of key b-values) b-value selection. Monte Carlo simulations were performed over a range of IVIM parameters to evaluate methods of analysis. Relative bias values, relative error, and coefficients of variation (CV) were obtained for assessment of methods. Statistical paired t-tests were used for comparison of experimental mean values and errors from each fitting and sampling method. Results Comparison of the different analysis/sampling methods in simulations and experiments showed that the "segmented" analysis and the optimized method have higher precision and accuracy, in general, compared with "free" fitting of conventional sampling when considering all parameters. Regarding relative bias, IVIM parameters fp and Dt differed significantly between "segmented" and "free" fitting methods. Conclusion IVIM analysis may improve using optimized selection and "segmented" analysis, potentially enabling better differentiation of breast cancer subtypes and monitoring of treatment.

AB - Purpose To compare fitting methods and sampling strategies, including the implementation of an optimized b-value selection for improved estimation of intravoxel incoherent motion (IVIM) parameters in breast cancer. Methods Fourteen patients (age, 48.4 ± 14.27 years) with cancerous lesions underwent 3 Tesla breast MRI examination for a HIPAA-compliant, institutional review board approved diffusion MR study. IVIM biomarkers were calculated using "free" versus "segmented" fitting for conventional or optimized (repetitions of key b-values) b-value selection. Monte Carlo simulations were performed over a range of IVIM parameters to evaluate methods of analysis. Relative bias values, relative error, and coefficients of variation (CV) were obtained for assessment of methods. Statistical paired t-tests were used for comparison of experimental mean values and errors from each fitting and sampling method. Results Comparison of the different analysis/sampling methods in simulations and experiments showed that the "segmented" analysis and the optimized method have higher precision and accuracy, in general, compared with "free" fitting of conventional sampling when considering all parameters. Regarding relative bias, IVIM parameters fp and Dt differed significantly between "segmented" and "free" fitting methods. Conclusion IVIM analysis may improve using optimized selection and "segmented" analysis, potentially enabling better differentiation of breast cancer subtypes and monitoring of treatment.

KW - IVIM

KW - b-value optimization

KW - breast cancer

KW - diffusion gradient

KW - diffusion weighted MRI

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Comparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancer

Abstract

Keywords

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