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Apparent diffusion coefficient histogram in breast cancer brain metastases may predict their biological subtype and progression.


ABSTRACT: 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?

SUBMITTER: Ahn SJ 

PROVIDER: S-EPMC6028481 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Apparent diffusion coefficient histogram in breast cancer brain metastases may predict their biological subtype and progression.

Ahn Sung Jun SJ   Park Mijin M   Bang Sungkyu S   Cho Eunseo E   Ahn Sung Gwe SG   Suh Sang Hyun SH   Lee Jong-Min JM  

Scientific reports 20180702 1


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 a  ...[more]

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