ArticleQuantitative imaging in medicine and surgery2025
Development of an
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Accurate prediction of the visceral pleural invasion (VPI) status in stage I peripheral non-small cell lung cancers (NSCLCs) may help patients benefit from surgery and chemotherapy strategies. Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) is a combination of CT and FDG PET that reflects not only the FDG PET-associated metabolic features but also the CT-associated anatomic features. The FDG PET/CT radiomics-based model has demonstrated greater accuracy in the diagnosis, prognosis, and treatment evaluation of tumors compared with those based on CT only, including in NSCLCs. This study aimed to develop an FDG PET/CT-based VPI prediction (VPIP) index for peripheral subpleural NSCLCs ≤3 cm to help design a more rational treatment strategy for small-size NSCLCs. Methods: This retrospective study included 2,383 patients with peripheral subpleural NSCLCs ≤3 cm between August 2016 and February 2022 diagnosed at Shanghai Chest Hospital. The patients were randomly assigned to the modeling and validation cohorts in a 3:1 ratio. Further, 1,691 PET and 1,691 CT radiomics features of tumors were extracted using the Multi-Modality Radiomics software on the syngo.via workstation. The Results: Eventually, 6 PET and 10 CT features were selected to formulate the FDG PET/CT-based VPIP index. The predictive accuracy of the PET/CT-based VPIP index, with a threshold >-1.13 for VPI, was 83.4% and 83.7% in the modeling and validation cohorts, respectively. This accuracy was substantially higher than that based on PET alone (formulated by 15 PET radiomics features) or CT alone (formulated by 12 CT radiomics features) in both the modeling (AUC, 0.926 Conclusions: The VPIP index formulated in this study based on FDG PET/CT in peripheral subpleural NSCLCs ≤3 cm may help develop more rational surgery strategies for small-size NSCLCs.
Indexed as
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What Socratic holds
Registered trials
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 Socratic graph.