Evidence map›Paper›PMID 34318053›Full record

ArticleJTCVS techniques2020

First clinical application of radiofrequency identification (RFID) marking system-Precise localization of a small lung nodule.

Toshihiko Sato, Yojiro Yutaka, Tatsuo Nakamura, Hiroshi Date

Abstract read
In one paragraph

Article in JTCVS techniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

4 authors.

Toshihiko SatoDepartment of Thoracic, Breast and Pediatric Surgery, Fukuoka University, Fukuoka, Japan.
Yojiro YutakaDepartment of Thoracic Surgery, Kyoto University, Kyoto, Japan.
Tatsuo NakamuraInstitute for Frontier Medical Sciences, Kyoto University, Kyoto, Japan.
Hiroshi DateDepartment of Thoracic Surgery, Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrecise small lung nodule resection is challenging in minimally invasive thoracoscopic surgery. Various methods that help surgeons to locate the target nodule have been devised; however, the ideal way that satisfies the demand has not yet been realized. We have developed and applied a novel marking system to localize small lung nodules for the first time in humans.

methodsA radiofrequency identification tag (1.8 mm in diameter and 7 mm in length) that can communicate with a wand-shaped antenna (10 mm in diameter) from the distance of 3 cm was prepared. The tag was delivered adjacent to a 7-mm subsolid nodule in the right lower lobe of a patient under cone beam computed tomography guidance and video-assisted thoracoscopic surgery wedge resection was subsequently performed.

resultsThe delivery of the tag was smooth, and the tag was almost immediately detected by the antenna. Wedge resection was successfully performed with the guiding signal from the tag.

conclusionsWe have so far demonstrated that this technology could be applicable for small lung nodule detection in preclinical studies. In this first clinical experience, this system proved to provide accurate positional information of small lung nodules with depth.

Indexed as

CT, computed tomographylung cancerminimally invasive surgeryRFID, radiofrequency identificationsmall nodule

Identifiers

PMID34318053
PMCPMC8306984

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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.