Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer

Purpose This study was performed to retrospectively correlate the apparent diffusion coefficient (ADC) value and peak standardized uptake value (pSUV) with prognostic factors and MRI findings for breast lesions. Materials and Methods Ninety four breast cancers in 82 women were included in this stu...

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Main Authors: Tae Sun Kang, Keum Won Kim, Young Joong Kim, Jae Young Seo, Yong jun Cho, Cheol Mog Hwang, Mu-Sik Lee
Format: Article
Language:English
Published: The Korean Society of Radiology 2019-05-01
Series:대한영상의학회지
Subjects:
Online Access:https://doi.org/10.3348/jksr.2019.80.3.524
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spelling doaj-522edba476aa47668f0adf4325df50a12020-11-25T02:39:31ZengThe Korean Society of Radiology대한영상의학회지1738-26372288-29282019-05-01803524536https://doi.org/10.3348/jksr.2019.80.3.524Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast CancerTae Sun Kang0Keum Won Kim1Young Joong Kim2Jae Young Seo3Yong jun Cho4Cheol Mog Hwang5Mu-Sik Lee6Department of Radiology, Konyang University Hospital, Daejeon, KoreaDepartment of Radiology, Konyang University Hospital, Daejeon, KoreaDepartment of Radiology, Konyang University Hospital, Daejeon, KoreaDepartment of Radiology, Konyang University Hospital, Daejeon, KoreaDepartment of Radiology, Konyang University Hospital, Daejeon, KoreaDepartment of Radiology, Konyang University Hospital, Daejeon, KoreaDepartment of Preventive Medicine, Konyang University Hospital, Daejeon, KoreaPurpose This study was performed to retrospectively correlate the apparent diffusion coefficient (ADC) value and peak standardized uptake value (pSUV) with prognostic factors and MRI findings for breast lesions. Materials and Methods Ninety four breast cancers in 82 women were included in this study. Our patients underwent presurgical MRI including diffusion-weighted imaging (DWI), 18-fluorodeoxyglucose PET-CT, and immunohistological staining of the surgical or biopsy specimens. We evaluated relationships between mean ADCs and pSUVs with a variety of prognostic factors (age, tumor size, histologic grade of tumor, hormone receptors, human epidermal growth factor receptor 2 expression status, and nodal metastasis) and MRI findings (shape, margin and internal enhancement of mass, T2-signal intensity, and kinetics), using statistical methods. Results Both mean ADCs and pSUVs were significantly associated with histologic grade (p = 0.000 and p = 0.001) and nodal metastasis (p = 0.013 and p = 0.001). pSUVs were significantly associated with tumor size and estrogen receptor status, as well as irregular shape and rim enhancement pattern on MRI findings. On multivariate analysis, mean ADCs were significantly associated with invasiveness, estrogen receptor status and HER-2 expression status. PSUVs were only significantly associated with tumor size. Conclusion Mean pSUVs on PET-CT and ADCs on DWI helped predict prognosis of breast cancer.https://doi.org/10.3348/jksr.2019.80.3.524breast cancerprognostic factormagnetic resonance imagingdiffusion magnetic resonance imagingpet-ct
collection DOAJ
language English
format Article
sources DOAJ
author Tae Sun Kang
Keum Won Kim
Young Joong Kim
Jae Young Seo
Yong jun Cho
Cheol Mog Hwang
Mu-Sik Lee
spellingShingle Tae Sun Kang
Keum Won Kim
Young Joong Kim
Jae Young Seo
Yong jun Cho
Cheol Mog Hwang
Mu-Sik Lee
Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer
대한영상의학회지
breast cancer
prognostic factor
magnetic resonance imaging
diffusion magnetic resonance imaging
pet-ct
author_facet Tae Sun Kang
Keum Won Kim
Young Joong Kim
Jae Young Seo
Yong jun Cho
Cheol Mog Hwang
Mu-Sik Lee
author_sort Tae Sun Kang
title Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer
title_short Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer
title_full Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer
title_fullStr Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer
title_full_unstemmed Usefulness of Apparent Diffusion Coefficient Value of Diffusion-Weighted Imaging and Peak Standardized Uptake Values of Positron Emission Tomography-CT for Predicting Prognostic Factors of Breast Cancer
title_sort usefulness of apparent diffusion coefficient value of diffusion-weighted imaging and peak standardized uptake values of positron emission tomography-ct for predicting prognostic factors of breast cancer
publisher The Korean Society of Radiology
series 대한영상의학회지
issn 1738-2637
2288-2928
publishDate 2019-05-01
description Purpose This study was performed to retrospectively correlate the apparent diffusion coefficient (ADC) value and peak standardized uptake value (pSUV) with prognostic factors and MRI findings for breast lesions. Materials and Methods Ninety four breast cancers in 82 women were included in this study. Our patients underwent presurgical MRI including diffusion-weighted imaging (DWI), 18-fluorodeoxyglucose PET-CT, and immunohistological staining of the surgical or biopsy specimens. We evaluated relationships between mean ADCs and pSUVs with a variety of prognostic factors (age, tumor size, histologic grade of tumor, hormone receptors, human epidermal growth factor receptor 2 expression status, and nodal metastasis) and MRI findings (shape, margin and internal enhancement of mass, T2-signal intensity, and kinetics), using statistical methods. Results Both mean ADCs and pSUVs were significantly associated with histologic grade (p = 0.000 and p = 0.001) and nodal metastasis (p = 0.013 and p = 0.001). pSUVs were significantly associated with tumor size and estrogen receptor status, as well as irregular shape and rim enhancement pattern on MRI findings. On multivariate analysis, mean ADCs were significantly associated with invasiveness, estrogen receptor status and HER-2 expression status. PSUVs were only significantly associated with tumor size. Conclusion Mean pSUVs on PET-CT and ADCs on DWI helped predict prognosis of breast cancer.
topic breast cancer
prognostic factor
magnetic resonance imaging
diffusion magnetic resonance imaging
pet-ct
url https://doi.org/10.3348/jksr.2019.80.3.524
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