Reduced or Absent “Lung Sliding” ‐ A Novel Lung Ultrasound Sign of Pediatric Foreign Body Aspiration

2019 ◽  
Vol 38 (11) ◽  
pp. 3079-3082 ◽  
Author(s):  
Jovan Lovrenski ◽  
Gordana Vilotijević Dautović ◽  
Aleksandra Lovrenski
ORL ro ◽  
2016 ◽  
Vol 1 (1) ◽  
pp. 48-50
Author(s):  
Adina A. Zamfir-Chiru-Anton ◽  
D.C. Gheorghe

The authors present the case of a 4-year-old child admitted to the ENT Department with possible pulmonary foreign body aspiration. A detailed history revealed a clinical picture that seemed to depict an absence episode (with partial loss of conscience and cianosis) occured when eating, less the symptomes of a respiratory foreign body. Diagnosis needed full respiratory endoscopy and neurologic evaluation for correct assesment and effective therapy approach.


2020 ◽  
Vol 1 (1) ◽  
pp. 4-6
Author(s):  
Abdelgalil Ragab ◽  
Tarek Al Salhani ◽  
Sallam Taha ◽  
Eyad Darraj ◽  
Kamal Moustafa

A case of spontaneous pneumopericardium occurred in the patient after the aspiration of no sharp foreign body. The patient was sent to Operation Theater (OT), bronchoscopic extraction of the foreign body was performed, and the patient was stable postoperatively. Serial follow up X-rayswere done and showed resolving of the pneumopericardium.


BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Weigang Gan ◽  
Ning Xiao ◽  
Yiyuan Feng ◽  
Danmei Zhou ◽  
Juanjuan Hu ◽  
...  

Abstract Background Tracheobronchial foreign body aspiration (TFBA) is a critical disease in children and is extremely dangerous, even life-threatening. The factors affecting the occurrence and prognosis of TFBA are complex. The purpose of this study is to examine the external and intrinsic factors affecting clinical features of TFBA in West China and propose potential effective intervention measures. Methods We retrospectively analyzed the clinical data of pediatric patients diagnosed with TFBA with foreign bodies (FBs) removed by rigid bronchoscopy under general anesthesia at the otolaryngology department from December 2017 to November 2018. The data included age, sex, clinical symptoms, type and location of FB, guardians, prehospital duration and residence of these pediatric patients. Results The ratio of males (72) to females (53) was 1.4:1. Children aged from 1 to 3 years accounted for 76% (95/125) of patients. Cough, continuous fever and dyspnea were the primary symptoms. The right primary bronchus was the most common location of FB detection by rigid bronchoscopy (67 cases, 53.6%). Organic FBs were most common in our study. Guardians of patients significantly differed in the rural (parents 16, grandparents 31) and urban (parents 52, grandparents 26) groups (χ2 = 12.583, p = 0.000). More children in the rural group than in the urban group had a treatment delay longer than 72 h. More children in the group with no history of FB aspiration (12, 25%) than in the group with prior FB aspiration had a treatment delay longer than 72 h. Conclusion Pediatric TFBA is a common emergency in otolaryngology. Age, sex, tracheobronchial anatomy and other physiological elements were defined as intrinsic factors, while guardians, residence, FB species and prehospital time were defined as external factors of TFBA. External and intrinsic factors both influence the occurrence and progression of TFBA. It is extremely important to take effective measures to control external factors, which can decrease morbidity and mortality.


2021 ◽  
Vol 11 (15) ◽  
pp. 6976
Author(s):  
Miroslav Jaščur ◽  
Marek Bundzel ◽  
Marek Malík ◽  
Anton Dzian ◽  
Norbert Ferenčík ◽  
...  

Certain post-thoracic surgery complications are monitored in a standard manner using methods that employ ionising radiation. A need to automatise the diagnostic procedure has now arisen following the clinical trial of a novel lung ultrasound examination procedure that can replace X-rays. Deep learning was used as a powerful tool for lung ultrasound analysis. We present a novel deep-learning method, automated M-mode classification, to detect the absence of lung sliding motion in lung ultrasound. Automated M-mode classification leverages semantic segmentation to select 2D slices across the temporal dimension of the video recording. These 2D slices are the input for a convolutional neural network, and the output of the neural network indicates the presence or absence of lung sliding in the given time slot. We aggregate the partial predictions over the entire video recording to determine whether the subject has developed post-surgery complications. With a 64-frame version of this architecture, we detected lung sliding on average with a balanced accuracy of 89%, sensitivity of 82%, and specificity of 92%. Automated M-mode classification is suitable for lung sliding detection from clinical lung ultrasound videos. Furthermore, in lung ultrasound videos, we recommend using time windows between 0.53 and 2.13 s for the classification of lung sliding motion followed by aggregation.


2021 ◽  
pp. 102653
Author(s):  
Ali Sharifpour ◽  
Aref Hoseini ◽  
Zahra Nekoukar ◽  
Elham Sadat Banimostafavi ◽  
Mahdi Fakhar ◽  
...  

2013 ◽  
Vol 77 (1) ◽  
pp. 41-44 ◽  
Author(s):  
Osamu Higuchi ◽  
Yuichi Adachi ◽  
Yoko S. Adachi ◽  
Hiromichi Taneichi ◽  
Tomohiro Ichimaru ◽  
...  

2017 ◽  
pp. bcr2017219248
Author(s):  
Pierre Goussard ◽  
Julie Lyn Morrison ◽  
Ilse Nadine Appel ◽  
Lindy-Lee Green

2005 ◽  
Vol 105 (6) ◽  
pp. 631-634 ◽  
Author(s):  
M. Sirmali ◽  
H. Türüt ◽  
E. Kisacik ◽  
G. Findik ◽  
S. Kaya ◽  
...  

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