Evidence map›Paper›PMID 41367579›Full record

ArticleTranslational lung cancer research2025

Is seeing believing?-signal differentiation in a preclinical transbronchial imaging study implementing a composite optical fiber bronchoscope to detect a folate receptor-targeted near-infrared fluorophore.

Yoshihisa Hiraishi, Tsukasa Ishiwata, Theodore Husby, Yuki Sata, Alexander Gregor, Takamasa Koga, Hiroyuki Ogawa, Shinsuke Kitazawa, Fumi Yokote, Masato Aragaki and 6 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

16 authors.

Yoshihisa HiraishiDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.ORCID https://orcid.org/0000-0003-3926-9245
Tsukasa IshiwataDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Theodore HusbyPrincess Margaret Cancer Centre/University Health Network and Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, Canada.
Yuki SataDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Alexander GregorDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Takamasa KogaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Hiroyuki OgawaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Shinsuke KitazawaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Fumi YokoteDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Masato AragakiDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Kate KazlovichDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Andrew EffatDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Nicholas BernardsDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.
Hidenori KageDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3658-4442
Brian C WilsonPrincess Margaret Cancer Centre/University Health Network and Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, Canada.ORCID https://orcid.org/0000-0001-5543-666X
Kazuhiro YasufukuDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Canada.ORCID https://orcid.org/0000-0002-3053-4156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a significant unmet clinical need for accurate target identification in diagnosis and treatment of malignant tumors, including lung cancer. Optical imaging, specifically fluorescence-based, enables real-time tracking during endoscopic or surgical procedures. Here, we aim to investigate the scenario in which the fluorescence signal is possibly not due to the presence of the administered fluorescent agent, using a preclinical transbronchial lung cancer model. Methods: Pafolacianine is a folate analog conjugated with an indocyanine green-like dye (peak excitation 774-776 nm, detection 794-796 nm). A composite optical fiberscope (COF) with 0.97 mm outer diameter tip was used for laser excitation at 776 nm and imaging. Spectrometer measurements along the same optical axis as the COF were also made to characterize the signal. In a mouse xenograft model, human folate receptor-positive KB tumor cells were inoculated subcutaneously into the flank of immunodeficient (NCr-Foxn1 Results: In the Conclusions: In situations of very close proximity of the COF to the bronchial wall (~1 mm), we detected both excitation and emission signals. When the distance was increased slightly, only the fluorescence emission signal was detected. Although these results are not fully generalizable to all fluorescence bronchoscopy settings, it is important for clinicians to be aware of possible limitations in the filter rejection of excitation light leakage and to avoid extreme proximity between the bronchial mucosa and the fiber tip. We report this to exemplify artefacts that can occur in fluorescence bronchoscopy.

Indexed as

Cancer imagingfluorescence bronchoscopyfluorescence spectroscopy

Identifiers

PMID41367579
PMCPMC12683438

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.