Published in

National Academy of Sciences, Proceedings of the National Academy of Sciences, 51(118), 2021

DOI: 10.1073/pnas.2110633118

Links

Tools

Export citation

Search in Google Scholar

Screening human lung cancer with predictive models of serum magnetic resonance spectroscopy metabolomics

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Red circle
Preprint: archiving forbidden
Green circle
Postprint: archiving allowed
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Significance Metabolomics predictive models constructed from high-resolution magic angle spinning (HRMAS) proton magnetic resonance spectroscopy ( 1 H MRS) data measured from 10 μL blood serum of human lung cancer patients collected prior to diagnosis reflect disease status and can be developed into a screening tool to triage patients with suspicious readings for advance imaging tests.