Evidence map›Paper›PMID 26244637›Full record

Trial reportPloS one2015

Pulmonary Endogenous Fluorescence Allows the Distinction of Primary Lung Cancer from the Perilesional Lung Parenchyma.

Lucile Gust, Alexis Toullec, Charlotte Benoit, René Farcy, Stéphane Garcia, Veronique Secq, Jean-Yves Gaubert, Delphine Trousse, Bastien Orsini, Christophe Doddoli and 3 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

13 authors at 2 institutions in 1 country.

Lucile GustDepartment of Thoracic Surgery and Diseases of the Oesophagus, North Hospital, Aix-Marseille University, Marseille, France.
Alexis ToullecNodea Medical, Villejuif, France.
Charlotte BenoitNodea Medical, Villejuif, France.
René FarcyLAC, Paris-Sud XI University, Laboratoire Aimé Cotton, Bat.505, Orsay, France.
Stéphane GarciaDepartment of Pathology, North Hospital, Aix-Marseille University, Marseille, France.
Veronique SecqDepartment of Pathology, North Hospital, Aix-Marseille University, Marseille, France.
Jean-Yves GaubertDepartment of Radiology, Timone Hospital, Aix-Marseille University, Marseille, France.
Delphine TrousseDepartment of Thoracic Surgery and Diseases of the Oesophagus, North Hospital, Aix-Marseille University, Marseille, France.
Bastien OrsiniDepartment of Thoracic Surgery and Diseases of the Oesophagus, North Hospital, Aix-Marseille University, Marseille, France.
Christophe DoddoliDepartment of Thoracic Surgery and Diseases of the Oesophagus, North Hospital, Aix-Marseille University, Marseille, France.
Helene Moniz-KoumNodea Medical, Villejuif, France.
Pascal Alexandre ThomasDepartment of Thoracic Surgery and Diseases of the Oesophagus, North Hospital, Aix-Marseille University, Marseille, France.
Xavier Benoit D'journoDepartment of Thoracic Surgery and Diseases of the Oesophagus, North Hospital, Aix-Marseille University, Marseille, France.
Aix-Marseille Université · FRLaboratoire Aimé Cotton · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-therapeutic pathological diagnosis is a crucial step of the management of pulmonary nodules suspected of being non small cell lung cancer (NSCLC), especially in the frame of currently implemented lung cancer screening programs in high-risk patients. Based on a human ex vivo model, we hypothesized that an embedded device measuring endogenous fluorescence would be able to distinguish pulmonary malignant lesions from the perilesional lung tissue.

methodsConsecutive patients who underwent surgical resection of pulmonary lesions were included in this prospective and observational study over an 8-month period. Measurements were performed back table on surgical specimens in the operative room, both on suspicious lesions and the perilesional healthy parenchyma. Endogenous fluorescence signal was characterized according to three criteria: maximal intensity (Imax), wavelength, and shape of the signal (missing, stable, instable, photobleaching).

resultsNinety-six patients with 111 suspicious lesions were included. Final pathological diagnoses were: primary lung cancers (n = 60), lung metastases of extra-thoracic malignancies (n = 27) and non-tumoral lesions (n = 24). Mean Imax was significantly higher in NSCLC targeted lesions when compared to the perilesional lung parenchyma (p<0,0001) or non-tumoral lesions (p<0,0001). Similarly, photobleaching was more frequently found in NSCLC than in perilesional lung (p<0,0001), or in non-tumoral lesions (p<0,001). Respective associated wavelengths were not statistically different between perilesional lung and either primary lung cancers or non-tumoral lesions. Considering lung metastases, both mean Imax and wavelength of the targeted lesions were not different from those of the perilesional lung tissue. In contrast, photobleaching was significantly more frequently observed in the targeted lesions than in the perilesional lung (p≤0,01).

conclusionOur results demonstrate that endogenous fluorescence applied to the diagnosis of lung nodules allows distinguishing NSCLC from the surrounding healthy parenchyma and from non-tumoral lesions. Inconclusive results were found for lung metastases due to the heterogeneity of this population.

Indexed as

AgedCarcinoma, Non-Small-Cell LungEarly Detection of CancerFemaleFluorescenceHumansLungLung NeoplasmsMaleMiddle AgedProspective Studies

Identifiers

PMID26244637
PMCPMC4526534
OpenAlexW1812020060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.