Evidence map›Paper›PMID 25865435›Full record

ArticleAcademic radiology2015

Prone Versus Supine Breast FDG-PET/CT for Assessing Locoregional Disease Distribution in Locally Advanced Breast Cancer.

Richard G Abramson, Katrina F Lambert, Laurie B Jones-Jackson, Lori R Arlinghaus, Jason Williams, Vandana G Abramson, A Bapsi Chakravarthy, Thomas E Yankeelov

Abstract read
In one paragraph

Article in Academic radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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  7. Potential Clinical Applications ofNuclear medicine and molecular imaging · 2017
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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

8 authors at 2 institutions in 1 country.

Richard G AbramsonDepartment of Radiology and Radiological Sciences, Vanderbilt University, 1161 21st Avenue S, CCC-1121 MCN, Nashville, TN 37232-2675. Electronic address: richard.abramson@vanderbilt.edu.
Katrina F LambertDepartment of Radiology and Radiological Sciences, Vanderbilt University, 1161 21st Avenue S, CCC-1121 MCN, Nashville, TN 37232-2675.
Laurie B Jones-JacksonDepartment of Radiology and Radiological Sciences, Vanderbilt University, 1161 21st Avenue S, CCC-1121 MCN, Nashville, TN 37232-2675.
Lori R ArlinghausInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Jason WilliamsInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Vandana G AbramsonVanderbilt-Ingram Cancer Center, Nashville, Tennessee.
A Bapsi ChakravarthyDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee.
Thomas E YankeelovInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
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
Evaluation of MRI Biomarkers of Breast Cancer ResponseR01CA129961 · NCI · VANDERBILT UNIVERSITY · PI YANKEELOV, THOMAS E · 2008 to 2011
$1.2M
NCI NIH HHS 1R01CA129961NCI NIH HHS 1U01CA174706NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA68485NCI NIH HHS P50 CA098131NCI NIH HHS R01 CA129961NCI NIH HHS U01 CA142565NCI NIH HHS U01CA142565NCI NIH HHS U01 CA174706
6 · The paper itself

Abstract

RATIONALE AND

objectivesProne (18)F fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) may have advantages for breast imaging because of improved separation of deep anatomic structures. There are limited data on whether prone and supine FDG-PET/CT provide similar information regarding breast and axillary disease in the setting of locally advanced breast cancer (LABC). The purpose of this study was to compare the information on locoregional disease distribution provided by prone versus supine FDG-PET in newly diagnosed LABC. MATERIALS AND

methodsIn an Institutional Review Board-approved prospective trial, 24 patients with newly diagnosed LABC underwent both supine and prone FDG-PET/CT at the same scanning session. Three readers performed an independent review of all scans and categorized the locoregional disease distribution as breast only (BO)-unifocal, BO-multifocal, BO-multicentric, or breast + axillary involvement. For breast + axillary disease, the readers also assessed the number of involved axillary lymph nodes. Interobserver discrepancies were resolved at a consensus reading session.

resultsTwo scanning sessions were excluded because the prone scan had omitted part of the axilla from the field of view. In the remaining 22 patients, the consensus categorization of anatomic disease distribution was concordant between prone and supine scanning in 21 patients (linear kappa 0.91, 95% confidence interval [0.79-1]). In the 16 patients with breast + axillary disease, equal numbers of involved lymph nodes were identified on prone and supine scanning in 12 patients, whereas in the remaining four patients, prone scanning resulted in a higher number of visualized lymph nodes.

conclusionsProne and supine FDG-PET/CT provided statistically identical information on locoregional disease distribution in LABC. However, prone scanning may perform better than supine for assessing the number of involved lymph nodes. Prone FDG-PET/CT may be useful in future clinical and research efforts, including hybrid PET-magnetic resonance imaging (MRI) applications.

Indexed as

AdultAgedBreast NeoplasmsFemaleFluorodeoxyglucose F18HumansImage EnhancementLymphatic MetastasisLymph NodesMiddle AgedMultimodal ImagingNeoplasm InvasivenessPatient PositioningPositron-Emission TomographyProne PositionRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsNeoadjuvant chemotherapynodal disease burdenradiation planningrisk stratification

Identifiers

PMID25865435
PMCPMC4464958
OpenAlexW2030993628

What OpenQuestion holds

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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.