Evidence map›Paper›PMID 42381954›Full record

ArticleJTCVS open2026

Impact of intraoperative specimen computed tomography imaging on grossing accuracy and margin assessment in pulmonary wedge resection.

Kentaro Miura, Takahiro Yanagihara, Nicholas Bernards, Shinsuke Kitazawa, Fumi Yokote, Kenta Nakahashi, Yusuke Fujibayashi, Hironori Hinokuma, Dai Sonoda, Noriko Hayama and 13 more

Abstract read
In one paragraph

Article in JTCVS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Kentaro MiuraDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Takahiro YanagiharaDepartment of Thoracic Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Nicholas BernardsDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Shinsuke KitazawaDepartment of Thoracic Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Fumi YokoteDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Kenta NakahashiDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Yusuke FujibayashiDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Hironori HinokumaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Dai SonodaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Noriko HayamaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Tomokazu OmoriDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Elliot WakeamDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Laura DonahoeDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Jonathan YeungDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Marcelo CypelDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Marc De PerrotDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Andrew PierreDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Thomas WaddellDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Shaf KeshavjeeDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Michael CabaneroDepartment of Laboratory Medicine & Pathobiology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Yukio SatoDepartment of Thoracic Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Kimihiro ShimizuDivision of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Kazuhiro YasufukuDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate whether specimen computed tomography imaging (2- or 3-dimensional) influences the accuracy and decision-making in pathological grossing for pulmonary wedge resection. Methods: In this randomized prospective study, pulmonary wedge resection specimens were divided into 3 groups: control (no imaging), 2-dimensional computed tomography, and 3-dimensional computed tomography. Pathology assistants performed grossing with or without intraoperative computed tomography guidance per group assignment. A 5-point Likert scale questionnaire assessed perceived usefulness in tumor localization, cut-line location, cut-line angle, and overall grossing impact. Margins measured on 2- and 3-dimensional computed tomography with actual cutting lines were compared with pathological margins. Subgroup analyses were performed for lung cancer and metastatic tumors. Results: Across all specimens (n = 45), no parameter reached statistical significance. However, 3-dimensional computed tomography tended to score higher for cut-line angle impact (median 4 [3-4]) and overall grossing impact (median 4 [3-5]) than 2-dimensional computed tomography. In lung cancer cases (n = 16), 3-dimensional computed tomography significantly impacted cut-line angle compared with 2-dimensional computed tomography (median 2.5 [2-3] vs 4 [3-4.25], Conclusions: Intraoperative computed tomography imaging demonstrated high accuracy in margin estimation and provided reliable guidance for pathological grossing. Selective computed tomography evaluation may be advantageous for lesions difficult to palpate, such as deeply located small tumors.

Indexed as

computed tomographygrossinglung cancermetastatic lung tumorspulmonary wedge resectionsurgical margin

Identifiers

PMID42381954
PMCPMC13316344

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.