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Clinical Analysis of the “Small Plateau” Sign on the Flow-volume Curve Followed by Deep Learning Automated Recognition by Yimin Wang; Wenya Chen; Yicong Li; Changzheng Zhang; Lijuan Liang; Ruibo Huang; Jianling Liang; Yi Gao; Jinping Zheng is a Medicine article available to read on EtoBox.
What is Clinical Analysis of the “Small Plateau” Sign on the Flow-volume Curve Followed by Deep Learning Automated Recognition about?
## Abstract ## Background Small plateau (SP) on the flow-volume curve was found in parts of patients with suspected asthma or upper airway abnormalities, but it lacks clear scientific proof. Therefore, we aimed to characterize its clinical features. ## Methods We involved patients by reviewing the bronchoprovocation test (BPT) and bronchodilator test (BDT) completed between October 2017 and October 2020 to assess the characteristics of the sign. Patients who underwent laryngoscopy were assigned to perform spirometry to analyze the relationship of the sign and upper airway abnormalities. SP-Network was developed to recognition of the sign using flow-volume curves. ## Results Of 13,661 BPTs and 8,168 BDTs completed, we labeled 2,123 (15.5%) and 219 (2.7%) patients with the sign, respectively. Among them, there were 1,782 (83.9%) with the negative-BPT and 194 (88.6%) with the negative-BDT. Patients with SP sign had higher median FVC and FEV~1~% predicted (both P < .0001). Of 48 patients (16 with and 32 without the sign) who performed laryngoscopy and spirometry, the rate of laryngoscopy-diagnosis upper airway abnormalities in patients with the sign (63%) was higher than those without
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- Author
- Yimin Wang; Wenya Chen; Yicong Li; Changzheng Zhang; Lijuan Liang; Ruibo Huang; Jianling Liang; Yi Gao; Jinping Zheng
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)