Non-Invasive Detection of Lactate as a Biomarker of Response using Spectral Selective Multiple Quantum Editing Sequence (SS-SelMQC)

Abstract

This application focuses on enhancing cancer care by developing non-invasive techniques to determine better biomarkers to improve diagnostic specificity and decrease the number of negative biopsies, and also as markers of response with novel targeted agents such as Trastuzumab and Bevacizumab. We developed SS1-SelMQC sequence for lactate detection and T1- and T2-versions for T1 and T2 measurements to facilitate the absolute lactate quantifications. We completed data collection and analysis of lactate MR spectroscopy data of in vivo breast tumors with different expression levels of ER, PR, HER-2 as a function their growth.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2013
Accession Number
ADA599231

Entities

People

  • Sunitha B. Thakur

Organizations

  • Memorial Sloan Kettering Cancer Center

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Cell Line
  • Cell Movement
  • Cell Physiological Processes
  • Cells
  • Cellular Structures
  • Chemical Shifts
  • Chemical Synthesis
  • Chemistry
  • Culture Techniques
  • Histology
  • Magnetic Resonance
  • Measurement
  • Radio Frequency Pulses
  • Statistical Analysis
  • Two Dimensional

Readers

  • Breast cancer cell signaling and growth regulation.
  • Cardiovascular Physiology
  • Oncology

Technology Areas

  • Quantum Computing