Evidence map›Paper›PMID 26133582›Full record

ArticleMedical physics2015

Comparison of prone versus supine 18F-FDG-PET of locally advanced breast cancer: Phantom and preliminary clinical studies.

Jason M Williams, Sudheer D Rani, Xia Li, Lori R Arlinghaus, Tzu-Cheng Lee, Lawrence R MacDonald, Savannah C Partridge, Hakmook Kang, Jennifer G Whisenant, Richard G Abramson and 3 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. [EJNMMI research · 2021
    Article
  4. Article
  5. Towards integration ofScientific reports · 2020
    Article
  6. Article
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

13 authors at 4 institutions in 1 country.

Jason M WilliamsInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232 and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37232.
Sudheer D RaniInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232 and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37232.
Xia LiInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232 and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37232.
Lori R ArlinghausInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232.
Tzu-Cheng LeeDepartment of Bioengineering, University of Washington, Seattle, Washington 98195.
Lawrence R MacDonaldDepartment of Radiology, University of Washington, Seattle, Washington 98195.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, Washington 98195.
Hakmook KangInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232 and Department of Biostatistics, Vanderbilt University, Nashville, Tennessee 37232.
Jennifer G WhisenantInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232 and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37232.
Richard G AbramsonInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232 and Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37232.
Hannah M LindenDepartment of Medical Oncology, University of Washington, Seattle, Washington 98195.
Paul E KinahanDepartment of Radiology, University of Washington, Seattle, Washington 98195; Department of Bioengineering, University of Washington, Seattle, Washington 98195; Department of Physics, University of Washington, Seattle, Washington 98195; and Department of Electrical Engineering, University of Washington, Seattle, Washington 98195.
Thomas E YankeelovInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee 37232; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee 37232; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37232; Department of Physics, Vanderbilt University, Nashville, Tennessee 37232; and Department of Cancer Biology, Vanderbilt University, Nashville, Tennessee 37232.
Vanderbilt University · USUniversity of Washington · USUniversity of Washington Applied Physics Laboratory · USUniversity of Washington Medical Center · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jin Chen · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
Image Driven Multi-Scale Modeling to Predict Treatment Response in Breast CancerU01CA174706 · NCI · VANDERBILT UNIVERSITY · PI QUARANTA, VITO, YANKEELOV, THOMAS E · 2013 to 2018
$2.5M
NCI NIH HHS 1U01 CA174706NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA68485NCI NIH HHS P50 CA098131NCI NIH HHS P50 CA138293NCI NIH HHS U01 CA142565NCI NIH HHS U01 CA174706
6 · The paper itself

Abstract

purposePrevious studies have demonstrated how imaging of the breast with patients lying prone using a supportive positioning device markedly facilitates longitudinal and/or multimodal image registration. In this contribution, the authors' primary objective was to determine if there are differences in the standardized uptake value (SUV) derived from [(18)F]fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) in breast tumors imaged in the standard supine position and in the prone position using a specialized positioning device.

methodsA custom positioning device was constructed to allow for breast scanning in the prone position. Rigid and nonrigid phantom studies evaluated differences in prone and supine PET. Clinical studies comprised 18F-FDG-PET of 34 patients with locally advanced breast cancer imaged in the prone position (with the custom support) followed by imaging in the supine position (without the support). Mean and maximum values (SUVpeak and SUVmax, respectively) were obtained from tumor regions-of-interest for both positions. Prone and supine SUV were linearly corrected to account for the differences in 18F-FDG uptake time. Correlation, Bland-Altman, and nonparametric analyses were performed on uptake time-corrected and uncorrected data.

resultsSUV from the rigid PET breast phantom imaged in the prone position with the support device was 1.9% lower than without the support device. In the nonrigid PET breast phantom, prone SUV with the support device was 5.0% lower than supine SUV without the support device. In patients, the median (range) difference in uptake time between prone and supine scans was 16.4 min (13.4-30.9 min), which was significantly-but not completely-reduced by the linear correction method. SUVpeak and SUVmax from prone versus supine scans were highly correlated, with concordance correlation coefficients of 0.91 and 0.90, respectively. Prone SUVpeak and SUVmax were significantly lower than supine in both original and uptake time-adjusted data across a range of index times (P < < 0.0001, Wilcoxon signed rank test). Before correcting for uptake time differences, Bland-Altman analyses revealed proportional bias between prone and supine measurements (SUVpeak and SUVmax) that increased with higher levels of FDG uptake. After uptake time correction, this bias was significantly reduced (P < 0.01). Significant prone-supine differences, with regard to the spatial distribution of lesions relative to isocenter, were observed between the two scan positions, but this was poorly correlated with the residual (uptake time-corrected) prone-supine SUVpeak difference (P = 0.78).

conclusionsQuantitative 18F-FDG-PET/CT of the breast in the prone position is not deleteriously affected by the support device but yields SUV that is consistently lower than those obtained in the standard supine position. SUV differences between scans arising from FDG uptake time differences can be substantially reduced, but not removed entirely, with the current correction method. SUV from the two scan orientations is quantitatively different and should not be assumed equivalent or interchangeable within the same subject. These findings have clinical relevance in that they underscore the importance of patient positioning while scanning as a clinical variable that must be accounted for with longitudinal PET measurement, for example, in the assessment of treatment response.

Indexed as

AdultAgedBreastBreast NeoplasmsEquipment DesignFluorodeoxyglucose F18HumansLongitudinal StudiesMammographyMiddle AgedModels, BiologicalMultimodal ImagingPatient PositioningPhantoms, ImagingPositron-Emission TomographyProne PositionFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID26133582
PMCPMC4464063
OpenAlexW1762491856

What OpenQuestion holds

Textmetadata
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.