Evidence map›Paper›PMID 27557845›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2016

Towards real-time topical detection and characterization of FDG dose infiltration prior to PET imaging.

Jason M Williams, Lori R Arlinghaus, Sudheer D Rani, Martha D Shone, Vandana G Abramson, Praveen Pendyala, A Bapsi Chakravarthy, William J Gorge, Joshua G Knowland, Ronald K Lattanze and 5 more

Registry-linked trialOpen access · greenAbstract readClinical Trial
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07174089 (New AI-based Technologies for Even Safer and More Precise Nuclear Medicine), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

NCT07174089 recruitingnot on this mapstarted 2021, after this paper: background citation

New AI-based Technologies for Even Safer and More Precise Nuclear Medicine

TypeobservationalSponsorAzienda USL Reggio Emilia - IRCCSRan2021 to 2026Enrolled1,500ConditionsPatients Undergoing PET/CT Investigation or Nuclear Medicine TherapyArmsRadEye SPRD-ER device: spectrometric radiation detector capable of detecting gamma radiation.
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
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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

15 authors at 5 institutions in 2 countries.

Jason M WilliamsVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, AA-1105 Medical Center North, Nashville, TN, 37232-2310, USA. jason.m.williams@vanderbilt.edu.
Lori R ArlinghausVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, AA-1105 Medical Center North, Nashville, TN, 37232-2310, USA.
Sudheer D RaniVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, AA-1105 Medical Center North, Nashville, TN, 37232-2310, USA.
Martha D ShoneDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Vandana G AbramsonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Praveen PendyalaDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, TN, USA.
A Bapsi ChakravarthyVanderbilt-Ingram Cancer Center, Nashville, TN, USA.
William J GorgeLucerno Dynamics, LLC, Morrisville, NC, USA.
Joshua G KnowlandLucerno Dynamics, LLC, Morrisville, NC, USA.
Ronald K LattanzeLucerno Dynamics, LLC, Morrisville, NC, USA.
Steven R PerrinLucerno Dynamics, LLC, Morrisville, NC, USA.
Charles W ScarantinoLucerno Dynamics, LLC, Morrisville, NC, USA.
David W TownsendLucerno Dynamics, LLC, Morrisville, NC, USA.
Richard G AbramsonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Avenue South, AA-1105 Medical Center North, Nashville, TN, 37232-2310, USA.
Thomas E YankeelovInstitute for Computational and Engineering Sciences, and Departments of Biomedical Engineering and Internal Medicine, The University of Texas at Austin, Austin, TX, USA.
Lucerno Dynamics (United States) · USVanderbilt University Medical Center · USVanderbilt-Ingram Cancer CenterThe University of Texas at Austin · USVanderbilt University · 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
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA098131NCI NIH HHS U01 CA142565
6 · The paper itself

Abstract

purposeTo dynamically detect and characterize

methodsInvestigational gamma scintillation sensors were topically applied to patients with locally advanced breast cancer scheduled to undergo limited whole-body FDG-PET as part of an ongoing clinical study. Relative to the affected breast, sensors were placed on the contralateral injection arm and ipsilateral control arm during the resting uptake phase prior to each patient's PET scan. Time-activity curves (TACs) from the sensors were integrated at varying intervals (0-10, 0-20, 0-30, 0-40, and 30-40 min) post-FDG and the resulting areas under the curve (AUCs) were compared to SUVs obtained from PET.

resultsIn cases of infiltration, observed in three sensor recordings (30 %), the injection arm TAC shape varied depending on the extent and severity of infiltration. In two of these cases, TAC characteristics suggested the infiltration was partially resolving prior to image acquisition, although it was still apparent on subsequent PET. Areas under the TAC 0-10 and 0-20 min post-FDG were significantly different in infiltrated versus non-infiltrated cases (Mann-Whitney, p < 0.05). When normalized to control, all TAC integration intervals from the injection arm were significantly correlated with SUV

conclusionsTopical sensors applied near the injection site provide dynamic information from the time of FDG administration through the uptake period and may be useful in detecting infiltrations regardless of PET image field of view. This dynamic information may also complement the static PET image to better characterize the true extent of infiltrations.

Indexed as

Absorption, PhysiologicalBreast NeoplasmsComputer SystemsDrug MonitoringEquipment DesignEquipment Failure AnalysisFemaleFluorodeoxyglucose F18HumansInjectionsMetabolic Clearance RateRadiation DosageRadiopharmaceuticalsReproducibility of ResultsScintillation CountingSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsExtravasationInfiltrationRadiotracer injectionStandardized uptake value accuracyTime-activity curveTopical scintillation device

Identifiers

PMID27557845
PMCPMC5096989
OpenAlexW2510094204

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Registered trials

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.