Evidence map›Paper›PMID 40361342›Full record

ArticleCancers2025

Predicting Visceral Pleural Invasion in Resected Lung Adenocarcinoma via Computed Tomography.

Chia-Cheng Kao, Hu-Lin Christina Wang, Mong-Wei Lin, Tung-Ming Tsai, Hsao-Hsun Hsu, Hsien-Chi Liao, Jin-Shing Chen

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Chia-Cheng KaoDepartment of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0009-0002-2745-489X
Hu-Lin Christina WangDivision of Traumatology, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City 22000, Taiwan.ORCID 0000-0001-8969-9994
Mong-Wei LinDepartment of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0000-0003-1268-3729
Tung-Ming TsaiDivision of Thoracic Surgery, Department of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan.
Hsao-Hsun HsuDepartment of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan.
Hsien-Chi LiaoDepartment of Surgical Oncology, National Taiwan University Cancer Center, Taipei 106037, Taiwan.ORCID 0000-0001-7618-6559
Jin-Shing ChenDepartment of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesFor thoracic surgeons, the extent of visceral pleural invasion is a crucial consideration in the surgical approach to adenocarcinoma; this invasion may influence the extent of surgical resection and predict prognosis. With advances in preoperative imaging technology, predicting visceral pleural invasion via computed tomography (CT) characteristics may be feasible. The aim of this study was to evaluate the association between CT characteristics and visceral pleural invasion in patients with surgically resected lung adenocarcinoma.

methodsPatients with lung adenocarcinoma who underwent curative lung tumor resection (n = 643) were retrospectively included in this study between January 2011 and December 2015. Basic demographic CT images were analyzed by experienced thoracic surgeons and radiologists. Postoperative pathology reports were confirmed by experienced pathologists. Univariate and multivariate analyses were performed for potential prognostic factors.

resultsPotential visceral pleural invasion characteristics of preoperative CT included tumor size (cm), solid part size, pleural contact of arch distance, ground glass opacity (%), tumor shape, border type, distance from visceral pleura, depth, and invasion site. In addition, solid part size, ground glass opacity (%), consolidation to tumor ratio (%), tumor shape, border type, distance from visceral pleura, and invasion site showed statistical significance for prognosis.

conclusionsIncreased precision of image interpretation may provide more predictive clues to improve the identification of visceral pleural invasion before operations. The extent of surgical resection may be more accurately determined, and systemic treatment may be administered earlier for those with poor prognostic factors.

Indexed as

curative lung resectionpreoperative imagingprognostic factors

Identifiers

PMID40361342
PMCPMC12070976

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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.