Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization

The purpose of this study was to investigate whether ultra-high-field dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast at 7T using quantitative pharmacokinetic (PK) analysis can differentiate between benign and malignant breast tumors for improved breast cancer diagnosis...

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Main Authors: R. Elena Ochoa-Albiztegui, Varadan Sevilimedu, Joao V. Horvat, Sunitha B. Thakur, Thomas H. Helbich, Siegfried Trattnig, Elizabeth A. Morris, Jeffrey S. Reiner, Katja Pinker
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/12/12/3763
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spelling doaj-a973ef6c7f5942afa039ac8cf388e1b12020-12-15T00:03:11ZengMDPI AGCancers2072-66942020-12-01123763376310.3390/cancers12123763Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and CharacterizationR. Elena Ochoa-Albiztegui0Varadan Sevilimedu1Joao V. Horvat2Sunitha B. Thakur3Thomas H. Helbich4Siegfried Trattnig5Elizabeth A. Morris6Jeffrey S. Reiner7Katja Pinker8Breast Imaging Service, Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY 10065, USAMemorial Sloan Kettering Cancer Center, Department of Epidemiology and Biostatistics, New York, NY 10065, USABreast Imaging Service, Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY 10065, USABreast Imaging Service, Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY 10065, USAMolecular and Gender Imaging Service, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, AustriaMR Centre of Excellence, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, AustriaBreast Imaging Service, Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY 10065, USABreast Imaging Service, Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY 10065, USABreast Imaging Service, Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY 10065, USAThe purpose of this study was to investigate whether ultra-high-field dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast at 7T using quantitative pharmacokinetic (PK) analysis can differentiate between benign and malignant breast tumors for improved breast cancer diagnosis and to predict molecular subtypes, histologic grade, and proliferation rate in breast cancer. In this prospective study, 37 patients with 43 lesions suspicious on mammography or ultrasound underwent bilateral DCE-MRI of the breast at 7T. PK parameters (K<sup>Trans</sup>, k<sub>ep</sub>, V<sub>e</sub>) were evaluated with two region of interest (ROI) approaches (2D whole-tumor ROI or 2D 10 mm standardized ROI) manually drawn by two readers (senior reader, R1, and R2) independently. Histopathology served as the reference standard. PK parameters differentiated benign and malignant lesions (n = 16, 27, respectively) with good accuracy (AUCs = 0.655–0.762). The addition of quantitative PK analysis to subjective BI-RADS classification improved breast cancer detection from 88.4% to 97.7% for R1 and 86.04% to 97.67% for R2. Different ROI approaches did not influence diagnostic accuracy for both readers. Except for K<sup>Trans</sup> for whole-tumor ROI for R2, none of the PK parameters were valuable to predict molecular subtypes, histologic grade, or proliferation rate in breast cancer. In conclusion, PK-enhanced BI-RADS is promising for the noninvasive differentiation of benign and malignant breast tumors.https://www.mdpi.com/2072-6694/12/12/3763breast cancerultra-high-field magnetic resonance imagingquantitative pharmacokineticsimmunohistochemistrymolecular subtypesproliferation rate
collection DOAJ
language English
format Article
sources DOAJ
author R. Elena Ochoa-Albiztegui
Varadan Sevilimedu
Joao V. Horvat
Sunitha B. Thakur
Thomas H. Helbich
Siegfried Trattnig
Elizabeth A. Morris
Jeffrey S. Reiner
Katja Pinker
spellingShingle R. Elena Ochoa-Albiztegui
Varadan Sevilimedu
Joao V. Horvat
Sunitha B. Thakur
Thomas H. Helbich
Siegfried Trattnig
Elizabeth A. Morris
Jeffrey S. Reiner
Katja Pinker
Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
Cancers
breast cancer
ultra-high-field magnetic resonance imaging
quantitative pharmacokinetics
immunohistochemistry
molecular subtypes
proliferation rate
author_facet R. Elena Ochoa-Albiztegui
Varadan Sevilimedu
Joao V. Horvat
Sunitha B. Thakur
Thomas H. Helbich
Siegfried Trattnig
Elizabeth A. Morris
Jeffrey S. Reiner
Katja Pinker
author_sort R. Elena Ochoa-Albiztegui
title Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
title_short Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
title_full Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
title_fullStr Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
title_full_unstemmed Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and Characterization
title_sort pharmacokinetic analysis of dynamic contrast-enhanced magnetic resonance imaging at 7t for breast cancer diagnosis and characterization
publisher MDPI AG
series Cancers
issn 2072-6694
publishDate 2020-12-01
description The purpose of this study was to investigate whether ultra-high-field dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast at 7T using quantitative pharmacokinetic (PK) analysis can differentiate between benign and malignant breast tumors for improved breast cancer diagnosis and to predict molecular subtypes, histologic grade, and proliferation rate in breast cancer. In this prospective study, 37 patients with 43 lesions suspicious on mammography or ultrasound underwent bilateral DCE-MRI of the breast at 7T. PK parameters (K<sup>Trans</sup>, k<sub>ep</sub>, V<sub>e</sub>) were evaluated with two region of interest (ROI) approaches (2D whole-tumor ROI or 2D 10 mm standardized ROI) manually drawn by two readers (senior reader, R1, and R2) independently. Histopathology served as the reference standard. PK parameters differentiated benign and malignant lesions (n = 16, 27, respectively) with good accuracy (AUCs = 0.655–0.762). The addition of quantitative PK analysis to subjective BI-RADS classification improved breast cancer detection from 88.4% to 97.7% for R1 and 86.04% to 97.67% for R2. Different ROI approaches did not influence diagnostic accuracy for both readers. Except for K<sup>Trans</sup> for whole-tumor ROI for R2, none of the PK parameters were valuable to predict molecular subtypes, histologic grade, or proliferation rate in breast cancer. In conclusion, PK-enhanced BI-RADS is promising for the noninvasive differentiation of benign and malignant breast tumors.
topic breast cancer
ultra-high-field magnetic resonance imaging
quantitative pharmacokinetics
immunohistochemistry
molecular subtypes
proliferation rate
url https://www.mdpi.com/2072-6694/12/12/3763
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