PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 14587007

Breast tissue differentiation using arterial spin tagging.

David C Zhu·Michael H Buonocore
View original source ↗Export metadata ↓

Abstract

An arterial spin tagging (AST) pulse sequence has been developed to measure T(1) and relative blood perfusion. This full sequence is composed of three sequences: selective tagging, nonselective tagging, and nontagging. Perfusion quantification error resulting from imperfect inversion and acquisition slice profiles has been addressed in the literature. In this work, the error is reduced through the application of optimized Shinnar-Le Roux (SLR) RF pulses and a semi-log linear regression data-processing technique. A threshold approach based on the breast tissue T(1) and relative blood perfusion is introduced to show that these two parameters can be applied to breast tissue differentiation and potentially to cancer detection.

Explore related subjects

BreastBreast NeoplasmsFemaleHumansLinear ModelsMagnetic Resonance AngiographyMagnetic Resonance ImagingPerfusionPhantoms, ImagingSpin LabelsJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

David C Zhu, Michael H Buonocore. 2003. Breast tissue differentiation using arterial spin tagging.. https://doi.org/10.1002/mrm.10616

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

FOXA1: Growth inhibitor and a favorable prognostic factor in human breast cancer.

The transcription factor Forkhead-box A1 (Foxa1), a member of the FOX class of transcription factors, has been implicated in the pathogenesis of lung, esophageal and prostate cancers. We have recently identified transcriptional activation of p27 by FOXA1. In this study, we analyzed the activities and expression pattern of FOXA1 in breast cancer. Forced expression of FOXA1 inhibited clonal growth of breast cancer cell lines, and FOXA1 levels inversely correlated with growth stimuli. In the estrogen receptor (ER)-positive MCF-7 cells, FOXA1 increased p27 promoter activity and inhibited the ER pathway activity. Analysis of FOXA1 expression in breast tissue arrays revealed significantly higher expression in pure ductal carcinomas in situ compared to invasive ductal carcinomas (IDC); and in IDC, high expression of FOXA1 was associated with favorable prognostic factors. Yet, FOXA1 expression was noted in a subset of the ER-negative tumors. Taken together, our findings suggest a growth inhibitory role for FOXA1, and identify it as a novel, potential prognostic factor in breast cancer.

Breast↗
PubMed2007

The prognostic role of a gene signature from tumorigenic breast-cancer cells.

BACKGROUND: Breast cancers contain a minority population of cancer cells characterized by CD44 expression but low or undetectable levels of CD24 (CD44+CD24-/low) that have higher tumorigenic capacity than other subtypes of cancer cells. METHODS: We compared the gene-expression profile of CD44+CD24-/low tumorigenic breast-cancer cells with that of normal breast epithelium. Differentially expressed genes were used to generate a 186-gene "invasiveness" gene signature (IGS), which was evaluated for its association with overall survival and metastasis-free survival in patients with breast cancer or other types of cancer. RESULTS: There was a significant association between the IGS and both overall and metastasis-free survival (P<0.001, for both) in patients with breast cancer, which was independent of established clinical and pathological variables. When combined with the prognostic criteria of the National Institutes of Health, the IGS was used to stratify patients with high-risk early breast cancer into prognostic categories (good or poor); among patients with a good prognosis, the 10-year rate of metastasis-free survival was 81%, and among those with a poor prognosis, it was 57%. The IGS was also associated with the prognosis in medulloblastoma (P=0.004), lung cancer (P=0.03), and prostate cancer (P=0.01). The prognostic power of the IGS was increased when combined with the wound-response (WR) signature. CONCLUSIONS: The IGS is strongly associated with metastasis-free survival and overall survival for four different types of tumors. This genetic signature of tumorigenic breast-cancer cells was even more strongly associated with clinical outcomes when combined with the WR signature in breast cancer.

Breast↗