Evidence map›Paper›PMID 39669350›Full record

ArticleJTCVS techniques2024

Extended segmentectomy for intersegmental lesions with intraoperative surgical margin assessment by radiofrequency identification markers.

Yojiro Yutaka, Shigeto Nishikawa, Satona Tanaka, Akihiro Ohsumi, Daisuke Nakajima, Toshi Menju, Yu Hidaka, Takao Kato, Hiroshi Date

Abstract read
In one paragraph

Article in JTCVS techniques, 2024. 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
–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

4 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

9 authors.

Yojiro YutakaDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shigeto NishikawaDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Satona TanakaDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Akihiro OhsumiDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Daisuke NakajimaDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Toshi MenjuDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yu HidakaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University, Kyoto, Japan.
Takao KatoDepartment of Clinical Research Facilitation, Institute for Advancement of Clinical and Translational Science, Kyoto University, Kyoto, Japan.
Hiroshi DateDepartment of Thoracic Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We developed a technique to determine deep surgical margins using radiofrequency identification markers. This study assessed the feasibility of this technique during extended segmentectomy of intersegmental lesions. Methods: A single-center, prospective, single-arm study was performed from 2020 to 2023. Small pulmonary lesions suspicious for malignancy locating the virtual intersegmental plane based on 3-dimensional imagery were included. Markers were placed in the vicinity of the lesions using electromagnetic navigation bronchoscopy. In addition to indocyanine green injection, surgeons used wireless signal strength to determine the best resection line without lung palpation to obtain surgical margins of 10 mm or the same size as the tumor. Results: We analyzed 75 lesions in 75 patients. Median lesion size and depth from the pleura were 12.0 mm and 23.6 mm, respectively. Three-dimensional imagery identified lesions at a median distance of 7.0 mm from the virtual intersegmental plane. The median marker-lesion and marker-virtual intersegmental plane distances were 5.8 mm and 4.9 mm, respectively. Complex segmentectomy was performed in 64 of 75 patients (85.3%). The indocyanine green and preoperative simulated intersegmental lines agreed in 92.0% (69/75). In 6 cases (8.0%), the resection line was determined using radiofrequency identification markers to obtain adequate margins because the indocyanine green undyed area was smaller than the preoperatively simulated one. In 1 patient, planned segmentectomy was converted to lobectomy because of a misplaced radiofrequency identification marker (1.3%). The successful tumor resection rate was 98.7%. The median surgical margin was 16.0 mm. Conclusions: Use of radiofrequency identification markers enabled precise extended segmentectomy with adequate surgical margins.

Indexed as

indocyanine greenintersegmental planeradiofrequency identificationrobot-assisted thoracoscopic surgerysegmentectomy

Identifiers

PMID39669350
PMCPMC11632317

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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.