Evidence map›Paper›PMID 27981651›Full record

Trial reportJournal of magnetic resonance imaging : JMRI2017

MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial.

Patrick J Bolan, Eunhee Kim, Benjamin A Herman, Gillian M Newstead, Mark A Rosen, Mitchell D Schnall, Etta D Pisano, Paul T Weatherall, Elizabeth A Morris, Constance D Lehman and 11 more

Abstract readClinical Trial
In one paragraph

Trial report in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.4field-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

27 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Hyperpolarized Carbon-13 MRI in Breast Cancer.Diagnostics (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. Identifying the source of spurious signals caused by BMagnetic resonance in medicine · 2022
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. MR spectroscopy in breast cancer metabolomics.Analytical science advances · 2021
    Review
  16. The use of hyperpolarisedBritish journal of cancer · 2021
    Review
  17. Imaging breast cancer using hyperpolarized carbon-13 MRI.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Review
  19. Review
  20. 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

21 authors at 14 institutions in 1 country.

Patrick J BolanDepartment of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Eunhee KimNational Institute of Neurological Disorders and Stroke, NIH, Bethesda, Maryland, USA.
Benjamin A HermanAmerican College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
Gillian M NewsteadDepartment of Radiology, University of Chicago, Chicago, Illinois, USA.
Mark A RosenDepartment of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Mitchell D SchnallAmerican College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
Etta D PisanoDepartment of Radiology, Medical College of South Carolina, Charleston, South Carolina, USA.
Paul T WeatherallDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Elizabeth A MorrisDepartment of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.
Constance D LehmanDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Michael GarwoodDepartment of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Michael T NelsonDepartment of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Douglas YeeMasonic Cancer Center and Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Sandra M PolinWashington Radiology Associates, P.C., Fairfax, Virginia, USA.
Laura J EssermanDepartment of Surgery, University of California, San Francisco, California, USA.
Constantine A GatsonisAmerican College of Radiology Imaging Network (ACRIN), Philadelphia, Pennsylvania, USA.
Gregory J MetzgerDepartment of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
David C NewittDepartment of Radiology, University of California, San Francisco, California, USA.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Nola M HyltonDepartment of Radiology, University of California, San Francisco, California, USA.
ACRIN Trial team ISPY-1 Investigators
University of Minnesota · USUniversity of California, San Francisco · USAmerican College of Radiology Imaging Network · USAmerican College of Radiology · USFairfax Neonatal Associates · USHospital of the University of Pennsylvania · USMassachusetts General Hospital · USMedical University of South Carolina · USMemorial Sloan Kettering Cancer Center · USNational Institute of Neurological Disorders and Stroke · USThe University of Texas Southwestern Medical Center · USUniversity of Chicago · USUniversity of Minnesota System · USUniversity of Washington · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
Member Site CoreU10CA180821 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Evanthia Galanis · 2014 to 2026
$177.3M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
CANCER AND LEUKEMIA GROUP B MINORITY SATELLITE SUPPLEMENU10CA031946 · NCI · UNIVERSITY OF CHICAGO · PI BERTAGNOLLI, MONICA M · 1985 to 2013
$158.4M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
CANCER &LEUKEMIA GROUP B STATISTICAL CENTERU10CA033601 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI SARGENT, DANIEL J. · 1985 to 2013
$69.4M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BLACKBURN, ELIZABETH H · 1992 to 2012
$32.7M
ZOOMED FUNCT IMAGING IN HUMAN BRAIN AT 7T W/ SIMULT HIGH SPATIAL &TEMPORAL RESP41RR008079 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI GOPINATH, KAUNDINYA SRINIVASAN · 1993 to 2011
$16.3M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA058207NCI NIH HHS R01 CA120509NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098NCI NIH HHS U10 CA031946NCI NIH HHS U10 CA033601NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U10 CA180821NCI NIH HHS UG1 CA189828NCRR NIH HHS P41 RR008079NIBIB NIH HHS P41 EB015894
6 · The paper itself

Abstract

purposeTo estimate the accuracy of predicting response to neoadjuvant chemotherapy (NACT) in patients with locally advanced breast cancer using MR spectroscopy (MRS) measurements made very early in treatment. MATERIALS AND

methodsThis prospective Health Insurance Portability and Accountability Act (HIPAA)-compliant protocol was approved by the American College of Radiology and local-site institutional review boards. One hundred nineteen women with invasive breast cancer of ≥3 cm undergoing NACT were enrolled between September 2007 and April 2010. MRS measurements of the concentration of choline-containing compounds ([tCho]) were performed before the first chemotherapy regimen (time point 1, TP1) and 20-96 h after the first cycle of treatment (TP2). The change in [tCho] was assessed for its ability to predict pathologic complete response (pCR) and radiologic response using the area under the receiver operating characteristic curve (AUC) and logistic regression models.

resultsOf the 119 subjects enrolled, only 29 cases (24%) with eight pCRs provided usable data for the primary analysis. Technical challenges in acquiring quantitative MRS data in a multi-site trial setting limited the capture of usable data. In this limited data set, the decrease in tCho from TP1 to TP2 had poor ability to predict either pCR (AUC = 0.53, 95% confidence interval [CI]: 0.27-0.79) or radiologic response (AUC = 0.51, 95% CI: 0.27-0.75).

conclusionThe technical difficulty of acquiring quantitative MRS data in a multi-site clinical trial setting led to a low yield of analyzable data, which was insufficient to accurately measure the ability of early MRS measurements to predict response to NACT. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:290-302.

Indexed as

AlgorithmsAdultAgedBiomarkers, TumorBreast NeoplasmsCholineEarly Detection of CancerFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedMolecular ImagingReproducibility of ResultsSecondary PreventionSensitivity and SpecificityBiomarkers, TumorCholinebreast cancercholinemagnetic resonance spectroscopytreatment response

Identifiers

PMID27981651
PMCPMC5464996
OpenAlexW2566436339

What OpenQuestion holds

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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.