Evidence map›Paper›PMID 21793075›Full record

ReviewNMR in biomedicine2011

In vivo 1H MRS in the assessment of the therapeutic response of breast cancer patients.

Uma Sharma, Hyeon Man Baek, Min Ying Su, Naranamangalam R Jagannathan

Open access · greenAbstract readReview
In one paragraph

Review in NMR in biomedicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 47 citations in OpenAlex.

  1. Multidimensional pH-Temperature Mapping of SABRE-SHEATHThe journal of physical chemistry. B · 2025
    Article
  2. Review
  3. Review
  4. Review
  5. MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. Aqueous, Heterogeneous Parahydrogen-InducedThe journal of physical chemistry. C, Nanomaterials and interfaces · 2017
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. MRS-based Metabolomics in Cancer Research.Magnetic resonance insights · 2014
    Review
  19. Predicting tumour response.Cancer imaging : the official publication of the International Cancer Imaging Society · 2013
    Review
  20. New frontiers and developing applications in 19F NMR.Progress in nuclear magnetic resonance spectroscopy · 2013
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Uma SharmaDepartment of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India.
Hyeon Man Baek
Min Ying Su
Naranamangalam R Jagannathan
All India Institute of Medical Sciences · INThe University of Texas Southwestern Medical Center · USUniversity of California, Irvine · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
NCI NIH HHS P30 CA062203
6 · The paper itself

Abstract

MRI and in vivo MRS have rapidly evolved as sensitive tools for diagnosis and therapeutic monitoring in cancer research. In vivo MRS provides information on tumor metabolism, which is clinically valuable in the diagnosis and assessment of tumor response to therapy for the management of women with breast diseases. Several centers complement breast MRI studies with (1)H MRS to improve the specificity of diagnosis. Malignant breast tissues show elevated water-to-fat ratio and choline-containing compounds (total choline, tCho), and any effect of therapy on tissue viability or metabolism will be manifested as changes in these levels. Sequential (1)H MRS studies have shown significantly reduced tCho levels during the course of therapy in patients who were responders. However, there are challenges in using in vivo MRS because of the relatively low sensitivity in detecting the tCho resonance with decreased lesion size or significant reduction in the tumor volume during therapy. MRS is also technically challenging because of the low signal-to-noise ratio and heterogeneous distribution of fat and glandular tissues in the breast. MRS is best utilized for the diagnosis of focal masses, most commonly seen in patients with ductal-type neoplasms; however, it has limitations in detecting nonfocal masses, such as the linear pattern of tumors seen in invasive lobular carcinoma. Further work is required to assess the clinical utility of quantitative MRS, with the goal of automation, which will reduce the subjectivity currently inherent in both qualitative and semi-quantitative MRS.

Indexed as

Magnetic Resonance SpectroscopyProtonsBreast NeoplasmsCholineFemaleHumansTreatment OutcomeWaterCholineProtonsWater

Identifiers

PMID21793075
PMCPMC4226268
OpenAlexW2036391633

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.