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Metabolic Activity of Normal Glandular Tissue on (18)F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography: Correlation with Menstrual Cycles and Parenchymal Enhancements

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dc.contributor.authorAn, YS-
dc.contributor.authorJung, Y-
dc.contributor.authorKim, JY-
dc.contributor.authorHan, S-
dc.contributor.authorKang, DK-
dc.contributor.authorPark, SY-
dc.contributor.authorKim, TH-
dc.date.accessioned2018-08-24T01:50:15Z-
dc.date.available2018-08-24T01:50:15Z-
dc.date.issued2017-
dc.identifier.issn1738-6756-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/16143-
dc.description.abstractPurpose: The aims of our study were to correlate the degree of metabolic activity in normal glandular tissue measured on (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) with qualitative background parenchymal enhancement (BPE) grades on magnetic resonance imaging (MRI), and to investigate the change in standardized uptake value (SUV) according to the patients' menstrual cycles.
Methods: From January 2013 to December 2015, 298 consecutive premenopausal patients with breast cancer who underwent both breast MRI and (18)F-FDG PET/CT were identified. BPE was evaluated in the contralateral breast of cancer patients and categorized as minimal, mild, moderate, or marked based on Breast Imaging Reporting and Data System criteria. We analyzed the correlation between BPE and maximum SUV (SUVmax) and mean SUV (SUVmean) values. We also analyzed the metabolic activity of normal glandular tissue according to the patients' menstrual cycles.
Results: The mean SUVmax and SUVmean values differed significantly according to BPE grade (p<0001), with the lowest values occurring in the minimal group and the highest values occurring in the marked group. Spearman's correlation coefficients revealed moderate correlations between BPE grade and SUVmax (r=0.472, p<0.001) and BPE and SUVmean (r=0.498, p<0.001). The mean SUVmax and SUVmean values differed significantly according to the patients' menstrual cycles, with the highest values in the 3rd week and the lowest value in the 2nd week. Of 29 patients with low metabolic parenchyma (high BPE but low SUVmean values), 17 (58.6%) were in the 4th week of their menstrual cycle.
Conclusion: The metabolic activity of normal breast parenchyma, which is highest in the 3rd week and lowest in the 2nd week of the menstrual cycle, correlates moderately with BPE on MRI. Metabolic activity tends to be lower than blood flow and vessel permeability in the 4th week of the menstrual cycle.
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dc.language.isoen-
dc.titleMetabolic Activity of Normal Glandular Tissue on (18)F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography: Correlation with Menstrual Cycles and Parenchymal Enhancements-
dc.typeArticle-
dc.identifier.pmid29285044-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5743999/-
dc.subject.keywordMagnetic resonance imaging-
dc.subject.keywordMenstrual cycle-
dc.subject.keywordMetabolism-
dc.subject.keywordPositron Emission Tomography Computed Tomography-
dc.contributor.affiliatedAuthor안, 영실-
dc.contributor.affiliatedAuthor정, 용식-
dc.contributor.affiliatedAuthor김, 지영-
dc.contributor.affiliatedAuthor한, 세환-
dc.contributor.affiliatedAuthor강, 두경-
dc.contributor.affiliatedAuthor박, 선영-
dc.contributor.affiliatedAuthor김, 태희-
dc.type.localJournal Papers-
dc.identifier.doi10.4048/jbc.2017.20.4.386-
dc.citation.titleJournal of breast cancer-
dc.citation.volume20-
dc.citation.number4-
dc.citation.date2017-
dc.citation.startPage386-
dc.citation.endPage392-
dc.identifier.bibliographicCitationJournal of breast cancer, 20(4). : 386-392, 2017-
dc.identifier.eissn2092-9900-
dc.relation.journalidJ017386756-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Nuclear Medicine & Molecular Imaging
Journal Papers > School of Medicine / Graduate School of Medicine > Surgery
Journal Papers > School of Medicine / Graduate School of Medicine > Medical Science
Journal Papers > School of Medicine / Graduate School of Medicine > Radiology
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