Cited by 265Mass Spectrometry Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesClinical Laboratory Practices and Quality Control

Advantages and challenges of mass spectrometry assays for steroid hormones

Stanczyk, Frank Z., Clarke, Nigel J.·2010·The Journal of Steroid Biochemistry and Molecular Biology

Abstract

Although steroid hormones have been measured, primarily in urine, by gas chromatography-mass spectrometry (GC-MS) assays for many years, in the past decade both clinical and research laboratories have dramatically increased usage of liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays for measuring circulating levels of steroid hormones. Because of their high validity and throughput, mass spectrometry (MS) assays have replaced conventional radioimmunoassays (RIAs) and direct immunoassays for steroid hormones in larger reference laboratories, and they are touted to become the "gold standard" for steroid hormone quantitation. These advances in MS assays present several major challenges, which include the affordability of smaller laboratories to purchase MS instruments and pay for related operating costs; improving assay sensitivity, especially for measuring low estradiol levels in postmenopausal women and women treated with aromatase inhibitors; developing assays for quantitating profiles of steroid hormone metabolites in serum and tissues; standardizing steroid MS assays; and obtaining reliable reference intervals. The present review discusses the advantages of MS assays over conventional RIAs and direct immunoassays in steroid hormone measurements, and points out some of the important challenges facing the rapid increase in usage of MS assays.

Integrity signals

Registry

Crossref · 10.1016/j.jsbmb.2010.05.001

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Stanczyk, F. Z., & Clarke, N. J.
Affiliations
  • University of Southern California (US)
  • Quest Diagnostics (United States) (US)
Corresponding author
Stanczyk, Frank Z.
Venue
The Journal of Steroid Biochemistry and Molecular Biology
Publisher
Elsevier BV
Published
2010-08
Volume
121
Issue
3-5
Pages
491-495
ISSN
0960-0760 (ISSN-L)
OpenAlex
W1985139791
Cited by
265
References
24
Citations by year
2026: 9 · 2025: 15 · 2024: 5 · 2023: 17 · 2022: 22 · 2021: 15 · 2020: 17 · 2019: 16 · 2018: 17 · 2017: 15 · 2016: 23 · 2015: 19 · 2014: 20 · 2013: 21 · 2012: 11
FWCI
7.93
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Steroid Biochemistry and Molecular Biology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Keywords
steroid hormones, mass spectrometry assay, LC-MS/MS, gas chromatography-mass spectrometry, radioimmunoassay comparison, estradiol measurement, aromatase inhibitors, postmenopausal women, steroid hormone metabolites, assay standardization, reference values, assay sensitivity
MeSH terms
Female, Hormones, Humans, Gas Chromatography-Mass Spectrometry, Radioimmunoassay, Steroids

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review