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The Use of Breast Magnetic Resonance Imaging Parameters to Identify Possible Signaling Pathways of a Serum Biomarker, HE4.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 2016 May-Jun; Vol. 40 (3), pp. 436-41. - Publication Year :
- 2016
-
Abstract
- Objectives: This study aimed to investigate the relationship between breast magnetic resonance imaging (MRI) parameters; clinical features such as age, tumor diameter, N, T, and TNM stages; and serum human epididymis protein 4 (HE4) levels in patients with breast carcinoma and use this as a means of estimating possible signaling pathways of the biomarker, HE4.<br />Methods: Thirty-seven patients with breast cancer were evaluated by breast MRI and serum HE4 levels before therapy. Correlations between parameters including age, tumor diameter T and N, dynamic curve type, enhancement ratio (ER), slope washin (S-WI), time to peak (TTP), slope washout (S-WO), and the serum level of HE4 were investigated statistically. Human epididymis protein 4 levels of early and advanced stage of disease were also compared statistically.<br />Results: Breast MRI parameters showed correlation to serum HE4 levels and correlations were statistically significant. Of these MRI parameters, S-WI had higher correlation coefficient than the others. Human epididymis protein 4 levels were not statistically different in early and advanced stage of disease.<br />Conclusions: High correlation with MRI parameters related to neoangiogenesis may indicate signaling pathway of HE4.
- Subjects :
- Adult
Aged
Aged, 80 and over
Breast Neoplasms pathology
Female
Humans
Middle Aged
Neoplasm Staging
Reproducibility of Results
Sensitivity and Specificity
Signal Transduction
Statistics as Topic
WAP Four-Disulfide Core Domain Protein 2
Biomarkers, Tumor blood
Breast Neoplasms blood
Breast Neoplasms diagnostic imaging
Image Interpretation, Computer-Assisted methods
Magnetic Resonance Imaging
Proteins metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1532-3145
- Volume :
- 40
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 27192502
- Full Text :
- https://doi.org/10.1097/RCT.0000000000000390