Development of a machine learning model for predicting pneumothorax risk in coaxial core needle biopsy (≤3 cm)-Reference-Cited by-同舟云学术

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Development of a machine learning model for predicting pneumothorax risk in coaxial core needle biopsy (≤3 cm)

Published:2024-07 Issue: Volume:176 Page:111508
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Zou Xugong^ORCID,Cui Ning,Ma Qiang,Lin Zhipeng,Zhang Jian,Li Xiaoqun

Publisher

Elsevier BV

Reference39 articles.

1. Image-guided biopsy in primary lung cancer: why, when and how;de Margerie-Mellon;Diagn. Interv. Imaging,2016

2. Transthoracic needle biopsy of the lung;DiBardino;J. Thorac. Dis.,2015

3. Predictive factors of complications during CT-guided transthoracic biopsy;Fontaine-Delaruelle;Rev. Pneumol. Clin.,2017

4. Retrospective analysis of technical success rate and procedure-related complications of 867 percutaneous CT-guided needle biopsies of lung lesions;Mills;Clin. Radiol.,2017

5. CT fluoroscopy-guided biopsy of pulmonary lesions contacting the interlobar fissure: an analysis of 72 biopsies;Iguchi;Diagn. Interv. Imaging,2022

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