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The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

High‐resolution magic angle spinning MRS of breast cancer tissue

Sitter, Beathe, Sonnewald, Ursula, Spraul, Manfred, Fjösne, Hans E., Gribbestad, Ingrid S.·2002·NMR in Biomedicine

Abstract

High‐resolution magic angle spinning (HR MAS) may develop into a new diagnostic tool for studying intact tissue samples, and several types of cancer have been investigated with promising results. In this study HR MAS spectra of breast cancer tissue from 10 patients have been compared to conventional high‐resolution spectra of perchloric acid extracts of the same tissue type. The HR MAS spectra show resolution comparable to spectra of extracts, and two‐dimensional techniques lead to identification of a majority of the constituents. More than 30 different metabolites have been detected and assigned. To our knowledge this is the most detailed assignment of biochemical components in intact human breast tissue. The spectra of intact breast cancer tissue differ from perchloric acid extracts by the presence of lipids and fewer signals in the low field region. HR MAS analysis of intact breast tissue specimens is a rapid method, providing spectra with resolution where relative quantification of the majority of the detected metabolites is possible. Copyright © 2002 John Wiley & Sons, Ltd.

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Metadata

Authors
Sitter, B., Sonnewald, U., Spraul, M., Fjösne, H. E., & Gribbestad, I. S.
Venue
NMR in Biomedicine
Publisher
Wiley
Published
2002-08
Volume
15
Issue
5
Pages
327-337
ISSN
  • 0952-3480 (ISSN-L)
  • 1099-1492
OpenAlex
W2134326673
Cited by
323
References
20
FWCI
12.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: High‐resolution magic angle spinning MRS of breast cancer tissue. https://app.cochat.ai/papers/10.1002/nbm.775
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Sitter, B., Sonnewald, U., Spraul, M., Fjösne, H. E., & Gribbestad, I. S. (2002). High‐resolution magic angle spinning MRS of breast cancer tissue. NMR in Biomedicine. https://doi.org/10.1002/nbm.775

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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