Evidence map›Paper›PMID 28497233›Full record

ArticleMolecular imaging and biology2018

Standardization and Optimization of Intraoperative Molecular Imaging for Identifying Primary Pulmonary Adenocarcinomas.

Jarrod D Predina, Olugbenga Okusanya, Andrew D Newton, Philip Low, Sunil Singhal

Open access · greenAbstract read
In one paragraph

Article in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Intraoperative Molecular Imaging of Lung Cancer: A Review.Surgical oncology clinics of North America · 2022
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Fluorescence-Guided Surgery.Frontiers in oncology · 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

5 authors at 2 institutions in 1 country.

Jarrod D PredinaDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania School of Medicine, 6 White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Olugbenga OkusanyaDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania School of Medicine, 6 White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Andrew D NewtonDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania School of Medicine, 6 White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Philip LowDepartment of Chemistry, Purdue University, West Lafayette, IN, USA.
Sunil SinghalDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania School of Medicine, 6 White Building, 3400 Spruce Street, Philadelphia, PA, 19104, USA. sunil.singhal@uphs.upenn.edu.
University of Pennsylvania · USPurdue University West Lafayette · US

Funding

Near infrared intraoperative molecular imaging of lung adenocarcinomaR01CA193556 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LOW, PHILIP STEWART, SINGHAL, SUNIL · 2016 to 2020
$3.3M
BD Fortessa Flow Cytometer for Multi-User Shared FacilityS10OD020029 · OD · PURDUE UNIVERSITY · PI RATLIFF, TIMOTHY L. · 2015 to 2015
$412k
Optimizing Immunotherapy Strategies to Eliminate Recurrences after Cancer SurgeryF32CA210409 · NCI · UNIVERSITY OF PENNSYLVANIA · PI PREDINA, JARROD D · 2016 to 2017
$132k
NCI NIH HHS F32 CA210409NCI NIH HHS R01 CA193556NIH HHS S10 OD020029Quality Enhancement Research Initiative I01 CX001189
6 · The paper itself

Abstract

purposeIntraoperative molecular imaging (IMI) is an emerging technology used to locate pulmonary adenocarcinomas and identify positive margins during surgery. Background noise and tissue autofluorescence have been major obstacles. The goal of this study is to optimize the image quality of folate receptor alpha (FRα) targeted IMI for pulmonary adenocarcinomas by modifying emission data. PROCEDURES: A total of 15 lung cancer patients were enrolled in a pilot study. In the first cohort, FRα upregulation within pulmonary adenocarcinoma tumors was confirmed by analyzing specimens from five pulmonary adenocarcinoma patients with flow cytometry and immunohistochemistry. Next, in a cohort of five additional patients, autofluorescence of intrathoracic structures and tissues was quantified. Lastly, five patients with tumors at various depths from the pleural surface were enrolled and received the FRα-targeted optical contrast agent, EC17. In this final cohort, resected pulmonary adenocarcinomas were imaged at a wide range of fluorescence exposure times (0 to 200 ms), various laser powers, and with unique filter configurations. Tumor-to-noise ratio (TNR) for images was generated using region of interest software.

resultsPulmonary adenocarcinomas highly express FRα. Significant autofluorescence from native thoracic tissues was found with the highest fluorescent signals at the bronchial stump (547 ± 98, range 423-699), the pulmonary artery (267 ± 64, range 200-374), and cortical bone (266 ± 17, range 243-287). High levels of autofluorescence were appreciated after systemic administration of EC17; however, TNR was improved by altering exposure settings at the time of the imaging. Optimal fluorescent exposure time occurs at 40 ms (25 frames/s).

conclusionsExposure properties can be manipulated to maximize TNR thus allowing for successful intraoperative detection of pulmonary adenocarcinomas during surgery. Optimization of the conditions for intraoperative molecular imaging sets the stage for future clinical trials utilizing targeted IMI techniques which can aid the surgeon at the time of cancer resection.

Indexed as

Adenocarcinoma of LungFluorescenceFolate Receptor 1HumansIntraoperative CareLungMolecular ImagingReference StandardsThoraxTime FactorsFolate Receptor 1FRαIntraoperative molecular imaging (IMI)Pulmonary adenocarcinomaTumor-to-noise ratio

Identifiers

PMID28497233
PMCPMC6399519
OpenAlexW2614022900

What OpenQuestion holds

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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.