Evidence map›Paper›PMID 26843433›Full record

ArticleThe breast journal2016

Standardized Uptake Values from PET/MRI in Metastatic Breast Cancer: An Organ-based Comparison With PET/CT.

Akshat C Pujara, Roy A Raad, Fabio Ponzo, Carolyn Wassong, James S Babb, Linda Moy, Amy N Melsaether

Open access · greenAbstract readComparative Study
In one paragraph

Article in The breast journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
4.3field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Diagnostic performance of whole-body [European radiology · 2024
    Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Article
  8. Breast PET/MR Imaging.Radiologic clinics of North America · 2017
    Review
  9. Article
  10. Article
  11. Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Akshat C PujaraDepartment of Radiology, New York University School of Medicine, New York, New York.
Roy A RaadDepartment of Radiology, New York University School of Medicine, New York, New York.
Fabio PonzoDepartment of Radiology, New York University School of Medicine, New York, New York.
Carolyn WassongDepartment of Radiology, New York University School of Medicine, New York, New York.
James S BabbDepartment of Radiology, New York University School of Medicine, New York, New York.
Linda MoyDepartment of Radiology, New York University School of Medicine, New York, New York.
Amy N MelsaetherDepartment of Radiology, New York University School of Medicine, New York, New York.
New York University · USAdvanced Imaging Research (United States) · US

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

Quantitative standardized uptake values (SUVs) from fluorine-18 (18F) fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) are commonly used to evaluate the extent of disease and response to treatment in breast cancer patients. Recently, PET/magnetic resonance imaging (MRI) has been shown to qualitatively detect metastases from various primary cancers with similar sensitivity to PET/CT. However, quantitative validation of PET/MRI requires assessing the reliability of SUVs from MR attenuation correction (MRAC) relative to CT attenuation correction (CTAC). The purpose of this retrospective study was to assess the utility of PET/MRI-derived SUVs in breast cancer patients by testing the hypothesis that SUVs derived from MRAC correlate well with those from CTAC. Between August 2012 and May 2013, 35 breast cancer patients (age 37-78 years, 1 man) underwent clinical 18F-FDG PET/CT followed by PET/MRI. One hundred seventy metastases were seen in 21 of 35 patients; metastases to bone in 16 patients, to liver in seven patients, and to nonaxillary lymph nodes in eight patients were sufficient for statistical analysis on an organ-specific per patient basis. SUVs in the most FDG-avid metastasis per organ per patient from PET/CT and PET/MRI were measured and compared using Pearson's correlations. Correlations between CTAC- and MRAC-derived SUVmax and SUVmean in 31 metastases to bone, liver, and nonaxillary lymph nodes were strong overall (ρ = 0.80, 0.81). SUVmax and SUVmean correlations were also strong on an organ-specific basis in 16 bone metastases (ρ = 0.76, 0.74), seven liver metastases (ρ = 0.85, 0.83), and eight nonaxillary lymph node metastases (ρ = 0.95, 0.91). These strong organ-specific correlations between SUVs from PET/CT and PET/MRI in breast cancer metastases support the use of SUVs from PET/MRI for quantitation of 18F-FDG activity.

Indexed as

AdultAgedBone NeoplasmsBreast NeoplasmsBreast Neoplasms, MaleFemaleHumansImage Interpretation, Computer-AssistedLiverLiver NeoplasmsLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedOrgan SpecificityPositron-Emission Tomographyattenuation correctionbreast cancerhybrid imagingPET/MRISUV

Identifiers

PMID26843433
PMCPMC4915070
OpenAlexW2261834741

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.