Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients

Purpose: To assess diagnostic performance of fat fractions (FF) from high-resolution 3D radial Dixon MRI for differentiating metastatic and non-metastatic axillary lymph nodes in breast cancer patients. Method: High-resolution 3D radial Dixon MRI was prospectively performed on 1.5 T in 70 biopsy-ver...

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Main Authors: Thomas Winther Buus, Kim Sivesgaard, Tanja Linde Fris, Peer Michael Christiansen, Anders Bonde Jensen, Erik Morre Pedersen
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:European Journal of Radiology Open
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047720300733
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spelling doaj-26ad36294dea41d1918083fc7c156d362020-12-21T04:43:42ZengElsevierEuropean Journal of Radiology Open2352-04772020-01-017100284Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patientsThomas Winther Buus0Kim Sivesgaard1Tanja Linde Fris2Peer Michael Christiansen3Anders Bonde Jensen4Erik Morre Pedersen5Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark; Corresponding author.Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, DenmarkDepartment of Plastic and Breast Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, 8200, Aarhus N, DenmarkDepartment of Plastic and Breast Surgery, Aarhus University Hospital, Palle Juul-Jensens Boulevard 35, 8200, Aarhus N, DenmarkDepartment of Oncology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, DenmarkDepartment of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, DenmarkPurpose: To assess diagnostic performance of fat fractions (FF) from high-resolution 3D radial Dixon MRI for differentiating metastatic and non-metastatic axillary lymph nodes in breast cancer patients. Method: High-resolution 3D radial Dixon MRI was prospectively performed on 1.5 T in 70 biopsy-verified breast cancer patients. 35 patients were available for analysis with histopathologic and imaging data. FF images were calculated as fat / in-phase. Two radiologists measured lymph node FF and assessed morphological features in one ipsilateral and one contralateral lymph node in consensus. Diagnostic performance of lymph node FF and morphological criteria were compared using histopathology as reference. Results: 22 patients had metastatic axillary lymph nodes. Mean lymph node FF were 0.20 ± 0.073, 0.31 ± 0.079, and 0.34 ± 0.15 (metastatic, non-metastatic ipsi- and non-metastatic contralateral lymph nodes, respectively). Metastatic lymph node FF were significantly lower than non-metastatic ipsi- (p <  0.001) and contralateral lymph nodes (p <  0.001). Area under the receiver operating characteristics curve for lymph node FF was 0.80 compared to 0.76 for morphological criteria (p =  0.29). Lymph node FF yielded sensitivity 0.91, specificity 0.69, positive predictive value (PPV) 0.83, and negative predictive value (NPV) 0.82, while morphological criteria yielded sensitivity 0.91, specificity 0.62, PPV 0.80, and NPV 0.80 (p =  0.71). Combining lymph node FF and morphological criteria increased diagnostic performance with sensitivity 1.00, specificity 0.67, PPV 0.86, NPV 1.00, and AUC 0.83. Conclusions: Lymph node FF from high-resolution 3D Dixon images are a promising quantitative indicator of metastases in axillary lymph nodes.http://www.sciencedirect.com/science/article/pii/S2352047720300733Breast neoplasmsAxillaLymphatic metastasisMagnetic resonance imaging
collection DOAJ
language English
format Article
sources DOAJ
author Thomas Winther Buus
Kim Sivesgaard
Tanja Linde Fris
Peer Michael Christiansen
Anders Bonde Jensen
Erik Morre Pedersen
spellingShingle Thomas Winther Buus
Kim Sivesgaard
Tanja Linde Fris
Peer Michael Christiansen
Anders Bonde Jensen
Erik Morre Pedersen
Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients
European Journal of Radiology Open
Breast neoplasms
Axilla
Lymphatic metastasis
Magnetic resonance imaging
author_facet Thomas Winther Buus
Kim Sivesgaard
Tanja Linde Fris
Peer Michael Christiansen
Anders Bonde Jensen
Erik Morre Pedersen
author_sort Thomas Winther Buus
title Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients
title_short Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients
title_full Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients
title_fullStr Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients
title_full_unstemmed Fat fractions from high-resolution 3D radial Dixon MRI for predicting metastatic axillary lymph nodes in breast cancer patients
title_sort fat fractions from high-resolution 3d radial dixon mri for predicting metastatic axillary lymph nodes in breast cancer patients
publisher Elsevier
series European Journal of Radiology Open
issn 2352-0477
publishDate 2020-01-01
description Purpose: To assess diagnostic performance of fat fractions (FF) from high-resolution 3D radial Dixon MRI for differentiating metastatic and non-metastatic axillary lymph nodes in breast cancer patients. Method: High-resolution 3D radial Dixon MRI was prospectively performed on 1.5 T in 70 biopsy-verified breast cancer patients. 35 patients were available for analysis with histopathologic and imaging data. FF images were calculated as fat / in-phase. Two radiologists measured lymph node FF and assessed morphological features in one ipsilateral and one contralateral lymph node in consensus. Diagnostic performance of lymph node FF and morphological criteria were compared using histopathology as reference. Results: 22 patients had metastatic axillary lymph nodes. Mean lymph node FF were 0.20 ± 0.073, 0.31 ± 0.079, and 0.34 ± 0.15 (metastatic, non-metastatic ipsi- and non-metastatic contralateral lymph nodes, respectively). Metastatic lymph node FF were significantly lower than non-metastatic ipsi- (p <  0.001) and contralateral lymph nodes (p <  0.001). Area under the receiver operating characteristics curve for lymph node FF was 0.80 compared to 0.76 for morphological criteria (p =  0.29). Lymph node FF yielded sensitivity 0.91, specificity 0.69, positive predictive value (PPV) 0.83, and negative predictive value (NPV) 0.82, while morphological criteria yielded sensitivity 0.91, specificity 0.62, PPV 0.80, and NPV 0.80 (p =  0.71). Combining lymph node FF and morphological criteria increased diagnostic performance with sensitivity 1.00, specificity 0.67, PPV 0.86, NPV 1.00, and AUC 0.83. Conclusions: Lymph node FF from high-resolution 3D Dixon images are a promising quantitative indicator of metastases in axillary lymph nodes.
topic Breast neoplasms
Axilla
Lymphatic metastasis
Magnetic resonance imaging
url http://www.sciencedirect.com/science/article/pii/S2352047720300733
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