Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients

Objective: To examine the prognostic capabilities of intravoxel incoherent motion (IVIM) metrics and their ability to predict response to neoadjuvant treatment (NAT). Additionally, to observe changes in IVIM metrics between pre- and post-treatment MRI. Methods: This IRB-approved, HIPAA-compliant ret...

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Main Authors: Gene Y. Cho, Lucas Gennaro, Elizabeth J. Sutton, Emily C. Zabor, Zhigang Zhang, Dilip Giri, Linda Moy, Daniel K. Sodickson, Elizabeth A. Morris, Eric E. Sigmund, Sunitha B. Thakur
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:European Journal of Radiology Open
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047717300205
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author Gene Y. Cho
Lucas Gennaro
Elizabeth J. Sutton
Emily C. Zabor
Zhigang Zhang
Dilip Giri
Linda Moy
Daniel K. Sodickson
Elizabeth A. Morris
Eric E. Sigmund
Sunitha B. Thakur
spellingShingle Gene Y. Cho
Lucas Gennaro
Elizabeth J. Sutton
Emily C. Zabor
Zhigang Zhang
Dilip Giri
Linda Moy
Daniel K. Sodickson
Elizabeth A. Morris
Eric E. Sigmund
Sunitha B. Thakur
Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
European Journal of Radiology Open
author_facet Gene Y. Cho
Lucas Gennaro
Elizabeth J. Sutton
Emily C. Zabor
Zhigang Zhang
Dilip Giri
Linda Moy
Daniel K. Sodickson
Elizabeth A. Morris
Eric E. Sigmund
Sunitha B. Thakur
author_sort Gene Y. Cho
title Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
title_short Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
title_full Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
title_fullStr Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
title_full_unstemmed Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
title_sort intravoxel incoherent motion (ivim) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patients
publisher Elsevier
series European Journal of Radiology Open
issn 2352-0477
publishDate 2017-01-01
description Objective: To examine the prognostic capabilities of intravoxel incoherent motion (IVIM) metrics and their ability to predict response to neoadjuvant treatment (NAT). Additionally, to observe changes in IVIM metrics between pre- and post-treatment MRI. Methods: This IRB-approved, HIPAA-compliant retrospective study observed 31 breast cancer patients (32 lesions). Patients underwent standard bilateral breast MRI along with diffusion-weighted imaging before and after NAT. Six patients underwent an additional IVIM-MRI scan 12â14 weeks after initial scan and 2 cycles of treatment. In addition to apparent diffusion coefficients (ADC) from monoexponential decay, IVIM mean values (tissue diffusivity Dt, perfusion fraction fp, and pseudodiffusivity Dp) and histogram metrics were derived using a biexponential model. An additional filter identified voxels of highly vascular tumor tissue (VTT), excluding necrotic or normal tissue. Clinical data include histology of biopsy and clinical response to treatment through RECIST assessment. Comparisons of treatment response were made using Wilcoxon rank-sum tests. Results: Average, kurtosis, and skewness of pseudodiffusion Dp significantly differentiated RECIST responders from nonresponders. ADC and Dt values generally increased (â¼70%) and VTT% values generally decreased (â¼20%) post-treatment. Conclusion: Dp metrics showed prognostic capabilities; slow and heterogeneous pseudodiffusion offer poor prognosis. Baseline ADC/Dt parameters were not significant predictors of response. This work suggests that IVIM mean values and heterogeneity metrics may have prognostic value in the setting of breast cancer NAT. Keywords: Breast cancer, Diffusion weighted MRI, Intravoxel incoherent motion, Neoadjuvant treatment, Response evaluation criteria in solid tumors
url http://www.sciencedirect.com/science/article/pii/S2352047717300205
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spelling doaj-16c97dedb5cd4e14975691649c14df832020-11-25T01:28:31ZengElsevierEuropean Journal of Radiology Open2352-04772017-01-014101107Intravoxel incoherent motion (IVIM) histogram biomarkers for prediction of neoadjuvant treatment response in breast cancer patientsGene Y. Cho0Lucas Gennaro1Elizabeth J. Sutton2Emily C. Zabor3Zhigang Zhang4Dilip Giri5Linda Moy6Daniel K. Sodickson7Elizabeth A. Morris8Eric E. Sigmund9Sunitha B. Thakur10Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA; Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA; Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, 10016, USADepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USADepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USADepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USADepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USADepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USABernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA; Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, 10016, USABernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA; Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, 10016, USADepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USABernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York School of Medicine, New York, NY, 10016, USA; Center for Advanced Imaging Innovation and Research (CAI2R), New York University Langone Medical Center, New York, NY, 10016, USA; Corresponding author at: 660 First Ave. 4th Fl. New York, NY, 10016, USA.Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USAObjective: To examine the prognostic capabilities of intravoxel incoherent motion (IVIM) metrics and their ability to predict response to neoadjuvant treatment (NAT). Additionally, to observe changes in IVIM metrics between pre- and post-treatment MRI. Methods: This IRB-approved, HIPAA-compliant retrospective study observed 31 breast cancer patients (32 lesions). Patients underwent standard bilateral breast MRI along with diffusion-weighted imaging before and after NAT. Six patients underwent an additional IVIM-MRI scan 12â14 weeks after initial scan and 2 cycles of treatment. In addition to apparent diffusion coefficients (ADC) from monoexponential decay, IVIM mean values (tissue diffusivity Dt, perfusion fraction fp, and pseudodiffusivity Dp) and histogram metrics were derived using a biexponential model. An additional filter identified voxels of highly vascular tumor tissue (VTT), excluding necrotic or normal tissue. Clinical data include histology of biopsy and clinical response to treatment through RECIST assessment. Comparisons of treatment response were made using Wilcoxon rank-sum tests. Results: Average, kurtosis, and skewness of pseudodiffusion Dp significantly differentiated RECIST responders from nonresponders. ADC and Dt values generally increased (â¼70%) and VTT% values generally decreased (â¼20%) post-treatment. Conclusion: Dp metrics showed prognostic capabilities; slow and heterogeneous pseudodiffusion offer poor prognosis. Baseline ADC/Dt parameters were not significant predictors of response. This work suggests that IVIM mean values and heterogeneity metrics may have prognostic value in the setting of breast cancer NAT. Keywords: Breast cancer, Diffusion weighted MRI, Intravoxel incoherent motion, Neoadjuvant treatment, Response evaluation criteria in solid tumorshttp://www.sciencedirect.com/science/article/pii/S2352047717300205