Correlation of prognostic factors with MRI findings in malignant breast lesions

Abstract Background Magnetic resonance imaging (MRI) of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100%. We aim to detect the correlation between MRI findings and pathologically detected prognostic factors i...

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Main Authors: Kerim Temiz, Pelin Seher Oztekin, Sema Hucumenoglu, Enver Necip Koseoglu, Pinar Nercis Kosar
Format: Article
Language:English
Published: SpringerOpen 2020-08-01
Series:The Egyptian Journal of Radiology and Nuclear Medicine
Subjects:
MRI
Online Access:http://link.springer.com/article/10.1186/s43055-020-00260-9
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spelling doaj-fe71027446fa45afb67da2bbbbbf99942020-11-25T02:42:14ZengSpringerOpenThe Egyptian Journal of Radiology and Nuclear Medicine2090-47622020-08-015111710.1186/s43055-020-00260-9Correlation of prognostic factors with MRI findings in malignant breast lesionsKerim Temiz0Pelin Seher Oztekin1Sema Hucumenoglu2Enver Necip Koseoglu3Pinar Nercis Kosar4Department of Radiology, Ankara Training and Research HospitalDepartment of Radiology, Ankara Training and Research HospitalDepartment of Pathology, Ankara Training and Research HospitalDepartment of Radiology, Ankara Training and Research HospitalDepartment of Radiology, Ankara Training and Research HospitalAbstract Background Magnetic resonance imaging (MRI) of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100%. We aim to detect the correlation between MRI findings and pathologically detected prognostic factors in malignant breast lesions. Breast parenchymal density distribution, background parenchymal enhancement pattern, lesion’s morphologic features, T2WI signal characteristics, contrast enhancement, time/signal intensity curves, and lesions localizations in breast were evaluated using dynamic MRI images. Histopathological diagnosis, maximum measurements of the lesion, histological grade, presence of estrogen and/or progesterone receptors, c-erb B2, and Ki-67 parameters were noted as prognostic factors. Results We cannot detect any relationship between the breast parenchymal density and prognostic factors. Mild background breast enhancement is related with ER presence, a good prognostic factor. Histopathological grade of the lesions augmented with the increase in the lesion diameters. ADC values are not related with prognostic factors. Conclusion A mild background enhancement, an intermediate signal intensity on T2WI, a high tpeak value, and absence of pathological axillary lymph node are found to be related with good prognostic factors. An irregular contour, a huge diameter, having a type III kinetic curve, a high slopei value, and presence of pathological axillary lymph node are found to be related with poor prognostic factors. MRI can be used to predict prognostic factors in breast cancer cases.http://link.springer.com/article/10.1186/s43055-020-00260-9BreastMalignancyPrognostic factorMRI
collection DOAJ
language English
format Article
sources DOAJ
author Kerim Temiz
Pelin Seher Oztekin
Sema Hucumenoglu
Enver Necip Koseoglu
Pinar Nercis Kosar
spellingShingle Kerim Temiz
Pelin Seher Oztekin
Sema Hucumenoglu
Enver Necip Koseoglu
Pinar Nercis Kosar
Correlation of prognostic factors with MRI findings in malignant breast lesions
The Egyptian Journal of Radiology and Nuclear Medicine
Breast
Malignancy
Prognostic factor
MRI
author_facet Kerim Temiz
Pelin Seher Oztekin
Sema Hucumenoglu
Enver Necip Koseoglu
Pinar Nercis Kosar
author_sort Kerim Temiz
title Correlation of prognostic factors with MRI findings in malignant breast lesions
title_short Correlation of prognostic factors with MRI findings in malignant breast lesions
title_full Correlation of prognostic factors with MRI findings in malignant breast lesions
title_fullStr Correlation of prognostic factors with MRI findings in malignant breast lesions
title_full_unstemmed Correlation of prognostic factors with MRI findings in malignant breast lesions
title_sort correlation of prognostic factors with mri findings in malignant breast lesions
publisher SpringerOpen
series The Egyptian Journal of Radiology and Nuclear Medicine
issn 2090-4762
publishDate 2020-08-01
description Abstract Background Magnetic resonance imaging (MRI) of the breast represents the most sensitive imaging modality in the detection of breast cancer, with a reported sensitivity between 94 and 100%. We aim to detect the correlation between MRI findings and pathologically detected prognostic factors in malignant breast lesions. Breast parenchymal density distribution, background parenchymal enhancement pattern, lesion’s morphologic features, T2WI signal characteristics, contrast enhancement, time/signal intensity curves, and lesions localizations in breast were evaluated using dynamic MRI images. Histopathological diagnosis, maximum measurements of the lesion, histological grade, presence of estrogen and/or progesterone receptors, c-erb B2, and Ki-67 parameters were noted as prognostic factors. Results We cannot detect any relationship between the breast parenchymal density and prognostic factors. Mild background breast enhancement is related with ER presence, a good prognostic factor. Histopathological grade of the lesions augmented with the increase in the lesion diameters. ADC values are not related with prognostic factors. Conclusion A mild background enhancement, an intermediate signal intensity on T2WI, a high tpeak value, and absence of pathological axillary lymph node are found to be related with good prognostic factors. An irregular contour, a huge diameter, having a type III kinetic curve, a high slopei value, and presence of pathological axillary lymph node are found to be related with poor prognostic factors. MRI can be used to predict prognostic factors in breast cancer cases.
topic Breast
Malignancy
Prognostic factor
MRI
url http://link.springer.com/article/10.1186/s43055-020-00260-9
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AT semahucumenoglu correlationofprognosticfactorswithmrifindingsinmalignantbreastlesions
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