Evidence map›Paper›PMID 34527315›Full record

ArticleJournal of thoracic disease2021

Diagnosis of visceral pleural invasion using confocal laser endomicroscopy during lung cancer surgery.

Toru Sawada, Hiromitsu Takizawa, Mariko Aoyama, Naoya Kawakita, Naoki Miyamoto, Shinichi Sakamoto, Mika Takashima, Daisuke Matsumoto, Hiroaki Toba, Yukikiyo Kawakami and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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  10. The role of confocal laser endomicroscopy in pulmonary medicine.European respiratory review : an official journal of the European Respiratory Society · 2023
    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

13 authors at 1 institution in 1 country.

Toru SawadaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Hiromitsu TakizawaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Mariko AoyamaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Naoya KawakitaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Naoki MiyamotoDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Shinichi SakamotoDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Mika TakashimaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Daisuke MatsumotoDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Hiroaki TobaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Yukikiyo KawakamiDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Mitsuteru YoshidaDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Kazuya KondoDepartment of Oncological Medical Services, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Akira TangokuDepartment of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan.
Tokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral pleural invasion (VPI) in lung cancer is a significant prognostic factor; however, it is difficult to diagnose preoperatively or intraoperatively. In this study, we examined the possibility of intraoperative diagnosis of VPI using confocal laser endomicroscopy (CLE).

methodsAmong patients with primary lung cancer who underwent surgery between April 2018 and August 2019, those in whom the tumor was in contact with the pleura on chest computed tomography and whose pleural changes were intraoperatively confirmed were enrolled in this study. In the 35 patients who underwent lung resection (6 cases with visceral pleural infiltration), the area where pleural change was noted was observed and a short video was recorded using CLE. Based on the video images, three evaluators determined the defect ratio (0%, 25%, 50%, 75%, and 100%) of the autofluorescence-positive structure. The area under the receiver operating characteristic curve was used to evaluate the diagnostic performance for VPI. In 15 cases (3 cases with VPI), a validation study was performed for intraoperative VPI according to the cutoff value of the defect ratio of the autofluorescence-positive structure.

resultsThe areas under the receiver operating characteristic curve for the defect ratio of the autofluorescence-positive structure were 0.86-0.91 for the three readers. Using defect ratio of autofluorescence-positive structure cutoff of ≥50% as predictor of VPI, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 83.3-100.0%, 57.7-73.1%, 35.3-41.7%, 95.0-100.0%, and 75.0-78.1%, respectively, for the three readers. In the validation study, the sensitivity was 100%, the specificity was 83.3%, and the diagnostic accuracy rate was 86.7%.

conclusionsThe diagnosis of VPI through CLE is simple, non-invasive, and has high diagnostic accuracy rates. This method may be applicable for determining surgical procedures.

Indexed as

confocal laser endomicroscopy (CLE)Lung cancervisceral pleural invasion (VPI)

Identifiers

PMID34527315
PMCPMC8411182
OpenAlexW3190462167

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.