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A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis

PURPOSE: To develop a multiparametric [(18)F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating imaging biomarkers of breast tumors and contralateral healthy breast tissue. METHODS: In this prospective study and retrospective data an...

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Autores principales: Leithner, Doris, Horvat, Joao V., Bernard-Davila, Blanca, Helbich, Thomas H., Ochoa-Albiztegui, R. Elena, Martinez, Danny F., Zhang, Michelle, Thakur, Sunitha B., Wengert, Georg J., Staudenherz, Anton, Jochelson, Maxine S., Morris, Elizabeth A., Baltzer, Pascal A. T., Clauser, Paola, Kapetas, Panagiotis, Pinker, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647078/
https://www.ncbi.nlm.nih.gov/pubmed/31197455
http://dx.doi.org/10.1007/s00259-019-04331-6
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author Leithner, Doris
Horvat, Joao V.
Bernard-Davila, Blanca
Helbich, Thomas H.
Ochoa-Albiztegui, R. Elena
Martinez, Danny F.
Zhang, Michelle
Thakur, Sunitha B.
Wengert, Georg J.
Staudenherz, Anton
Jochelson, Maxine S.
Morris, Elizabeth A.
Baltzer, Pascal A. T.
Clauser, Paola
Kapetas, Panagiotis
Pinker, Katja
author_facet Leithner, Doris
Horvat, Joao V.
Bernard-Davila, Blanca
Helbich, Thomas H.
Ochoa-Albiztegui, R. Elena
Martinez, Danny F.
Zhang, Michelle
Thakur, Sunitha B.
Wengert, Georg J.
Staudenherz, Anton
Jochelson, Maxine S.
Morris, Elizabeth A.
Baltzer, Pascal A. T.
Clauser, Paola
Kapetas, Panagiotis
Pinker, Katja
author_sort Leithner, Doris
collection PubMed
description PURPOSE: To develop a multiparametric [(18)F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating imaging biomarkers of breast tumors and contralateral healthy breast tissue. METHODS: In this prospective study and retrospective data analysis, 141 patients (mean 57 years) with an imaging abnormality detected on mammography and/or ultrasound (BI-RADS 4/5) underwent combined multiparametric [(18)F]FDG PET/MRI with PET/computed tomography and multiparametric MRI of the breast at 3 T. Images were evaluated and the following were recorded: for the tumor, BI-RADS descriptors on dynamic contrast-enhanced (DCE)-MRI, mean apparent diffusion co-efficient (ADCmean) on diffusion-weighted imaging (DWI), and maximum standard uptake value (SUVmax) on [(18)F]FDG-PET; and for the contralateral healthy breast, background parenchymal enhancement (BPE) and amount of fibroglandular tissue (FGT) on DCE-MRI, ADCmean on DWI, and SUVmax. Histopathology served as standard of reference. Uni-, bi-, and multivariate logistic regression analyses were performed to assess the relationships between malignancy and imaging features. Predictive discrimination of benign and malignant breast lesions was examined using area under the receiver operating characteristic curve (AUC). RESULTS: There were 100 malignant and 41 benign lesions (size: median 1.9, range 0.5–10 cm). The multivariate regression model incorporating significant univariate predictors identified tumor enhancement kinetics (P = 0.0003), tumor ADCmean (P < 0.001), and BPE of the contralateral healthy breast (P = 0.0019) as independent predictors for breast cancer diagnosis. Other biomarkers did not reach significance. Combination of the three significant biomarkers achieved an AUC value of 0.98 for breast cancer diagnosis. CONCLUSION: A multiparametric [(18)F]FDG PET/MRI diagnostic model incorporating both qualitative and quantitative parameters of the tumor and the healthy contralateral tissue aids breast cancer diagnosis.
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spelling pubmed-66470782019-08-06 A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis Leithner, Doris Horvat, Joao V. Bernard-Davila, Blanca Helbich, Thomas H. Ochoa-Albiztegui, R. Elena Martinez, Danny F. Zhang, Michelle Thakur, Sunitha B. Wengert, Georg J. Staudenherz, Anton Jochelson, Maxine S. Morris, Elizabeth A. Baltzer, Pascal A. T. Clauser, Paola Kapetas, Panagiotis Pinker, Katja Eur J Nucl Med Mol Imaging Original Article PURPOSE: To develop a multiparametric [(18)F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating imaging biomarkers of breast tumors and contralateral healthy breast tissue. METHODS: In this prospective study and retrospective data analysis, 141 patients (mean 57 years) with an imaging abnormality detected on mammography and/or ultrasound (BI-RADS 4/5) underwent combined multiparametric [(18)F]FDG PET/MRI with PET/computed tomography and multiparametric MRI of the breast at 3 T. Images were evaluated and the following were recorded: for the tumor, BI-RADS descriptors on dynamic contrast-enhanced (DCE)-MRI, mean apparent diffusion co-efficient (ADCmean) on diffusion-weighted imaging (DWI), and maximum standard uptake value (SUVmax) on [(18)F]FDG-PET; and for the contralateral healthy breast, background parenchymal enhancement (BPE) and amount of fibroglandular tissue (FGT) on DCE-MRI, ADCmean on DWI, and SUVmax. Histopathology served as standard of reference. Uni-, bi-, and multivariate logistic regression analyses were performed to assess the relationships between malignancy and imaging features. Predictive discrimination of benign and malignant breast lesions was examined using area under the receiver operating characteristic curve (AUC). RESULTS: There were 100 malignant and 41 benign lesions (size: median 1.9, range 0.5–10 cm). The multivariate regression model incorporating significant univariate predictors identified tumor enhancement kinetics (P = 0.0003), tumor ADCmean (P < 0.001), and BPE of the contralateral healthy breast (P = 0.0019) as independent predictors for breast cancer diagnosis. Other biomarkers did not reach significance. Combination of the three significant biomarkers achieved an AUC value of 0.98 for breast cancer diagnosis. CONCLUSION: A multiparametric [(18)F]FDG PET/MRI diagnostic model incorporating both qualitative and quantitative parameters of the tumor and the healthy contralateral tissue aids breast cancer diagnosis. Springer Berlin Heidelberg 2019-06-13 2019 /pmc/articles/PMC6647078/ /pubmed/31197455 http://dx.doi.org/10.1007/s00259-019-04331-6 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Leithner, Doris
Horvat, Joao V.
Bernard-Davila, Blanca
Helbich, Thomas H.
Ochoa-Albiztegui, R. Elena
Martinez, Danny F.
Zhang, Michelle
Thakur, Sunitha B.
Wengert, Georg J.
Staudenherz, Anton
Jochelson, Maxine S.
Morris, Elizabeth A.
Baltzer, Pascal A. T.
Clauser, Paola
Kapetas, Panagiotis
Pinker, Katja
A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
title A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
title_full A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
title_fullStr A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
title_full_unstemmed A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
title_short A multiparametric [(18)F]FDG PET/MRI diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
title_sort multiparametric [(18)f]fdg pet/mri diagnostic model including imaging biomarkers of the tumor and contralateral healthy breast tissue aids breast cancer diagnosis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647078/
https://www.ncbi.nlm.nih.gov/pubmed/31197455
http://dx.doi.org/10.1007/s00259-019-04331-6
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