Evidence map›Paper›PMID 27794408›Full record

ReviewLung cancer (Amsterdam, Netherlands)2016

Imaging in pleural mesothelioma: A review of the 13th International Conference of the International Mesothelioma Interest Group.

Samuel G Armato, Kevin G Blyth, Jane J Keating, Sharyn Katz, Selina Tsim, Johan Coolen, Eyjolfur Gudmundsson, Isabelle Opitz, Anna K Nowak

Open access · greenAbstract readReview
In one paragraph

Review in Lung cancer (Amsterdam, Netherlands), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 46 citations in OpenAlex.

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  14. Intraoperative near-infrared imaging of mesothelioma.Translational lung cancer research · 2017
    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

9 authors at 6 institutions in 5 countries.

Samuel G ArmatoDepartment of Radiology, The University of Chicago, Chicago, Illinois, USA. Electronic address: s-armato@uchicago.edu.
Kevin G BlythDepartment of Respiratory Medicine, Queen Elizabeth University Hospital, Glasgow, UK and Institute of Infection, Immunity & Inflammation, University of Glasgow, Glasgow, UK.
Jane J KeatingDepartment of Surgery, University of Pennsylvania Perelman School of Medicine and Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania Pearlman School of Medicine, Philadelphia, PA, USA.
Sharyn KatzDepartment of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Selina TsimDepartment of Respiratory Medicine, Queen Elizabeth University Hospital, Glasgow, UK and Institute of Infection, Immunity & Inflammation, University of Glasgow, Glasgow, UK.
Johan CoolenDepartment of Radiology, University Hospitals Leuven, Belgium.
Eyjolfur GudmundssonDepartment of Radiology, The University of Chicago, Chicago, Illinois, USA.
Isabelle OpitzDivision of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Anna K NowakSchool of Medicine and Pharmacology and National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia and Department of Medical Oncology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.
Queen Elizabeth University Hospital · GBUniversity of Chicago · USUniversity of Pennsylvania · USKU Leuven · BEThe University of Western Australia · AUUniversity Hospital of Zurich · CH

Funding

Near infrared intraoperative molecular imaging of lung adenocarcinomaR01CA193556 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LOW, PHILIP STEWART, SINGHAL, SUNIL · 2016 to 2020
$3.3M
Chief Scientist Office ETM/285NCI NIH HHS R01 CA193556
6 · The paper itself

Abstract

Imaging plays an important role in the detection, diagnosis, staging, response assessment, and surveillance of malignant pleural mesothelioma. The etiology, biology, and growth pattern of mesothelioma present unique challenges for each modality used to capture various aspects of this disease. Clinical implementation of imaging techniques and information derived from images continue to evolve based on active research in this field worldwide. This paper summarizes the imaging-based research presented orally at the 2016 International Conference of the International Mesothelioma Interest Group (iMig) in Birmingham, United Kingdom, held May 1-4, 2016. Presented topics included intraoperative near-infrared imaging of mesothelioma to aid the assessment of resection completeness, an evaluation of tumor enhancement improvement with increased time delay between contrast injection and image acquisition in standard clinical magnetic resonance imaging (MRI) scans, the potential of early contrast enhancement analysis to provide MRI with a role in mesothelioma detection, the differentiation of short- and long-term survivors based on MRI tumor volume and histogram analysis, the response-assessment potential of hemodynamic parameters derived from dynamic contrast-enhanced computed tomography (DCE-CT) scans, the correlation of CT-based tumor volume with post-surgical tumor specimen weight, and consideration of the need to update the mesothelioma tumor response assessment paradigm.

Indexed as

AdultAgedAged, 80 and overCongresses as TopicHumansLung NeoplasmsMagnetic Resonance ImagingMaleMesotheliomaMesothelioma, MalignantMiddle AgedNeoplasm StagingPleural NeoplasmsRadionuclide ImagingResponse Evaluation Criteria in Solid TumorsSpectroscopy, Near-InfraredDynamic contrast-enhanced CTModified RECISTNear-infrared imagingPerfusion MRITumor response assessmentTumor volume

Identifiers

PMID27794408
PMCPMC5104184
OpenAlexW2115138802

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.