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Cited by in CrossRef
For: Xiao R, Shao Q, Zhao N, Liu F, Qian KJ. Quantification analysis of pleural line movement for the diagnosis of pneumothorax. World J Clin Cases 2021; 9(21): 5889-5899 [PMID: 34368307 DOI: 10.12998/wjcc.v9.i21.5889]
URL: https://www.wjgnet.com/2307-8960/full/v9/i21/5889.htm
Number Citing Articles
1
Liansheng Liang, Xiuhong He. Application of lung ultrasound techniques in the diagnosis of lung lesions: A narrative reviewRespiratory Medicine 2025; 250: 108495 doi: 10.1016/j.rmed.2025.108495
2
Chiara Zangrandi, Federico Mento, Mattia Perpenti, Giovanni Pierro, Alessandro Perrotta, Tiziano Perrone, Andrea Smargiassi, Riccardo Inchingolo, Libertario Demi. Novel velocity model for the quantitative characterization of pleural sliding, in vivo multicenter clinical study on RF lung ultrasound dataComputers in Biology and Medicine 2026; 209: 111695 doi: 10.1016/j.compbiomed.2026.111695
3
Gary Duclos, Ludivine Marecal, Noemie Resseguier, Martin Postzich, Chloe Taguet, Sami Hraiech, Marc Leone, Laurent Müller, Laurent Zieleskiewicz. Pleural lung sliding quantification using a speckle tracking technology: A feasibility study on 30 healthy volunteersComputer Methods and Programs in Biomedicine 2024; 254: 108316 doi: 10.1016/j.cmpb.2024.108316
4
X Wu, H Wan, M Cheng, J Bai. Complications of CT-guided pulmonary nodule biopsy, Post-TNAB (Transthoracic needle aspiration biopsy) under CT GuidanceInternational Journal of Radiation Research 2025; 23(2): 441 doi: 10.61186/ijrr.23.2.25
5
Zhiqin Zhu, Hanchen Wang, Guanqiu Qi, Yuanyuan Li, Neal Mazur, Yu Liu, Huafeng Li, Baisen Cong, Litao Bai. A Survey on lightweight technology of neural networks for medical image segmentationPattern Recognition 2026; 179: 113870 doi: 10.1016/j.patcog.2026.113870
6
David N. Briganti, Christine E. Choi, Julien Nguyen, Charles W. Lanks. Determinants of point-of-care ultrasound lung sliding amplitude in mechanically ventilated patientsThe Ultrasound Journal 2023; 15(1) doi: 10.1186/s13089-023-00326-5