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Record W4416734929 · doi:10.21037/tlcr-2025-613

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

2025· article· en· W4416734929 on OpenAlexaff
Yoshihisa Hiraishi, Tsukasa Ishiwata, Theodore Husby, Yuki Sata, Alexander Gregor, T. Koga, Hiroyuki Ogawa, Shinsuke Kitazawa, Fumi Yokote, Masato Aragaki, Kate Kazlovich, Andrew Effat, Nicholas Bernards, Hidenori Kage, Brian C. Wilson, Kazuhiro Yasufuku

Bibliographic record

VenueTranslational Lung Cancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsPrincess Margaret Cancer CentreToronto General HospitalUniversity Health Network
Fundersnot available
KeywordsFluorophoreOptical fiberFluorescenceBronchoscopyExcitationFluorescence-lifetime imaging microscopyFiber

Abstract

fetched live from OpenAlex

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-Foxn1nu) mice and grown to 8–15 mm diameter. The mice were then infused with 0.025 or 0.25 mg/kg pafolacianine or negative control. At 24 hours after infusion, tumor and contralateral background spectral measurements were acquired using both the COF imaging system and the spectrometer. In a swine peribronchial model, a pafolacianine-infused tumor was placed manually on the outer wall of the swine bronchus by forceps. The COF was inserted into the working channel of a bronchoscope, which was then inserted through an endotracheal tube and navigated close to where the tumor was located. While changing the distance from the COF tip to the bronchial mucosa, transbronchial COF imaging and spectroscopic measurements were acquired separately. Results: In the in vivo mouse xenograft model, we observed a peak in the spectrometer spectrum at 810 nm that was more intense in the 0.25 mg/kg cohort than in the 0.025 mg/kg pafolacianine cohort. In the swine peribronchial tumor model with negative control tumor, we observed the excitation laser signal (776 nm) with the spectrometer when the COF tip was placed in very close (~1 mm) proximity to the bronchial mucosa but this signal was not detected at 5 or 10 mm distance. 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.446
Teacher spread0.406 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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