Evidence map›Paper›PMID 38780426›Full record

ArticleRadiology. Cardiothoracic imaging2024

Clinical Variables and Radiomics Features for Predicting Pneumothorax in Patients Undergoing CT-guided Transthoracic Core Needle Biopsy.

Yu-Sen Huang, Jenny Ling-Yu Chen, Wei-Chun Ko, Yu-Han Chang, Chin-Hao Chang, Yeun-Chung Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

6 authors.

Yu-Sen HuangFrom the Department of Medical Imaging (Y.S.H., W.C.K., Y.C.C.) and Statistical Consulting Unit (Y.H.C., C.H.C.), National Taiwan University Hospital, No. 7 Chung-Shan S. Rd, Taipei 100, Taiwan; Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan (Y.S.H., J.L.Y.C., Y.C.C.); and Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan (J.L.Y.C.).ORCID 0000-0003-4262-8712
Jenny Ling-Yu ChenFrom the Department of Medical Imaging (Y.S.H., W.C.K., Y.C.C.) and Statistical Consulting Unit (Y.H.C., C.H.C.), National Taiwan University Hospital, No. 7 Chung-Shan S. Rd, Taipei 100, Taiwan; Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan (Y.S.H., J.L.Y.C., Y.C.C.); and Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan (J.L.Y.C.).
Wei-Chun KoFrom the Department of Medical Imaging (Y.S.H., W.C.K., Y.C.C.) and Statistical Consulting Unit (Y.H.C., C.H.C.), National Taiwan University Hospital, No. 7 Chung-Shan S. Rd, Taipei 100, Taiwan; Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan (Y.S.H., J.L.Y.C., Y.C.C.); and Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan (J.L.Y.C.).ORCID 0000-0002-6689-5594
Yu-Han ChangFrom the Department of Medical Imaging (Y.S.H., W.C.K., Y.C.C.) and Statistical Consulting Unit (Y.H.C., C.H.C.), National Taiwan University Hospital, No. 7 Chung-Shan S. Rd, Taipei 100, Taiwan; Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan (Y.S.H., J.L.Y.C., Y.C.C.); and Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan (J.L.Y.C.).
Chin-Hao ChangFrom the Department of Medical Imaging (Y.S.H., W.C.K., Y.C.C.) and Statistical Consulting Unit (Y.H.C., C.H.C.), National Taiwan University Hospital, No. 7 Chung-Shan S. Rd, Taipei 100, Taiwan; Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan (Y.S.H., J.L.Y.C., Y.C.C.); and Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan (J.L.Y.C.).
Yeun-Chung ChangFrom the Department of Medical Imaging (Y.S.H., W.C.K., Y.C.C.) and Statistical Consulting Unit (Y.H.C., C.H.C.), National Taiwan University Hospital, No. 7 Chung-Shan S. Rd, Taipei 100, Taiwan; Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan (Y.S.H., J.L.Y.C., Y.C.C.); and Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan (J.L.Y.C.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To develop a prediction model combining both clinical and CT texture analysis radiomics features for predicting pneumothorax complications in patients undergoing CT-guided core needle biopsy. Materials and Methods A total of 424 patients (mean age, 65.6 years ± 12.7 [SD]; 232 male, 192 female) who underwent CT-guided core needle biopsy between January 2021 and October 2022 were retrospectively included as the training data set. Clinical and procedure-related characteristics were documented. Texture analysis radiomics features were extracted from the subpleural lung parenchyma traversed by needle. Moderate pneumothorax was defined as a postprocedure air rim of 2 cm or greater. The prediction model was developed using logistic regression with backward elimination, presented by linear fusion of the selected features weighted by their coefficients. Model performance was assessed using the area under the receiver operating characteristic curve (AUC). Validation was conducted in an external cohort (

Indexed as

Image-Guided BiopsyPneumothoraxTomography, X-Ray ComputedAgedBiopsy, Large-Core NeedleFemaleHumansLungMaleMiddle AgedPredictive Value of TestsRadiography, InterventionalRadiomicsRetrospective StudiesBiopsy/Needle AspirationCore Needle BiopsyCTPneumothoraxRadiomicsTexture AnalysisThorax

Identifiers

PMID38780426
PMCPMC11211933

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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.