Apparent diffusion coefficient histogram in breast cancer brain metastases may predict their biological subtype and progression
| Autor: | Sung Jun Ahn, Sung Gwe Ahn, Mijin Park, Sungkyu Bang, Eunseo Cho, Sang Hyun Suh, Jongmin Lee |
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| Rok vydání: | 2018 |
| Předmět: |
Adult
Percentile lcsh:Medicine Breast Neoplasms Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Text mining Breast cancer Region of interest Histogram medicine Effective diffusion coefficient Humans lcsh:Science Author Correction Retrospective Studies Univariate analysis Multidisciplinary business.industry Brain Neoplasms lcsh:R Retrospective cohort study Middle Aged medicine.disease Prognosis body regions 030220 oncology & carcinogenesis Disease Progression lcsh:Q Female business Nuclear medicine |
| Zdroj: | Scientific Reports Scientific Reports, Vol 8, Iss 1, Pp 1-7 (2018) |
| ISSN: | 2045-2322 |
| Popis: | Our aims for this study were to investigate the relationship between diffusion weighted image (DWI) parameters of brain metastases (BMs) and biological markers of breast cancer, and moreover, to assess whether DWI parameters accurately predict patient outcomes. DWI data for 34 patients with BMs from breast cancer were retrospectively reviewed. Apparent diffusion coefficient (ADC) histogram parameters were calculated from all measurable BMs. Two region of interest (ROI) methods are used for the analysis: from the largest BM or from all measurable BMs per one patient. ADC histogram parameters were compared between positive and negative groups depending on ER/PR and HER2 statuses. Overall survival analysis after BM (OSBM) and BM-specific progression-free survival (BMPFS) was analyzed with ADC parameters. Regardless of ROI methods, 25th percentile of ADC histogram was significantly lower in the ER/PR-positive group than in the ER/PR-negative group (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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