Evidence map›Paper›PMID 27584018›Full record

ArticlePloS one2016

Multi-Modal Imaging in a Mouse Model of Orthotopic Lung Cancer.

Priya Patel, Tatsuya Kato, Hideki Ujiie, Hironobu Wada, Daiyoon Lee, Hsin-Pei Hu, Kentaro Hirohashi, Jin Young Ahn, Jinzi Zheng, Kazuhiro Yasufuku

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  3. Image-guided tumor surgery: The emerging role of nanotechnology.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
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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

10 authors at 3 institutions in 1 country.

Priya PatelDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Tatsuya KatoDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Hideki UjiieDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Hironobu WadaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Daiyoon LeeDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Hsin-Pei HuDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Kentaro HirohashiDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Jin Young AhnDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
Jinzi ZhengTECHNA Institute, University Health Network, Ontario, Canada.
Kazuhiro YasufukuDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Ontario, Canada.
University Health Network · CAToronto General Hospital · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvestigation of CF800, a novel PEGylated nano-liposomal imaging agent containing indocyanine green (ICG) and iohexol, for real-time near infrared (NIR) fluorescence and computed tomography (CT) image-guided surgery in an orthotopic lung cancer model in nude mice.

methodsCF800 was intravenously administered into 13 mice bearing the H460 orthotopic human lung cancer. At 48 h post-injection (peak imaging agent accumulation time point), ex vivo NIR and CT imaging was performed. A clinical NIR imaging system (SPY®, Novadaq) was used to measure fluorescence intensity of tumor and lung. Tumor-to-background-ratios (TBR) were calculated in inflated and deflated states. The mean Hounsfield unit (HU) of lung tumor was quantified using the CT data set and a semi-automated threshold-based method. Histological evaluation using H&E, the macrophage marker F4/80 and the endothelial cell marker CD31, was performed, and compared to the liposomal fluorescence signal obtained from adjacent tissue sections.

resultsThe fluorescence TBR measured when the lung is in the inflated state (2.0 ± 0.58) was significantly greater than in the deflated state (1.42 ± 0.380 (n = 7, p<0.003). Mean fluorescent signal in tumor was highly variable across samples, (49.0 ± 18.8 AU). CT image analysis revealed greater contrast enhancement in lung tumors (a mean increase of 110 ± 57 HU) when CF800 is administered compared to the no contrast enhanced tumors (p = 0.0002).

conclusionPreliminary data suggests that the high fluorescence TBR and CT tumor contrast enhancement provided by CF800 may have clinical utility in localization of lung cancer during CT and NIR image-guided surgery.

Indexed as

Multimodal ImagingAnimalsDisease Models, AnimalImaging, Three-DimensionalLung NeoplasmsMaleMiceOptical ImagingTomography, X-Ray Computed

Identifiers

PMID27584018
PMCPMC5008802
OpenAlexW2507932840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.