scholarly journals Diagnostic Trial

2020 ◽  
Author(s):  
Keyword(s):  
2021 ◽  
Vol 09 (06) ◽  
pp. E955-E964
Author(s):  
Ganggang Mu ◽  
Yijie Zhu ◽  
Zhanyue Niu ◽  
Shigang Ding ◽  
Honggang Yu ◽  
...  

Abstract Background and study aims Endoscopy plays a crucial role in diagnosis of gastritis. Endoscopists have low accuracy in diagnosing atrophic gastritis with white-light endoscopy (WLE). High-risk factors (such as atrophic gastritis [AG]) for carcinogenesis demand early detection. Deep learning (DL)-based gastritis classification with WLE rarely has been reported. We built a system for improving the accuracy of diagnosis of AG with WLE to assist with this common gastritis diagnosis and help lessen endoscopist fatigue. Methods We collected a total of 8141 endoscopic images of common gastritis, other gastritis, and non-gastritis in 4587 cases and built a DL -based system constructed with UNet + + and Resnet-50. A system was developed to sort common gastritis images layer by layer: The first layer included non-gastritis/common gastritis/other gastritis, the second layer contained AG/non-atrophic gastritis, and the third layer included atrophy/intestinal metaplasia and erosion/hemorrhage. The convolutional neural networks were tested with three separate test sets. Results Rates of accuracy for classifying non-atrophic gastritis/AG, atrophy/intestinal metaplasia, and erosion/hemorrhage were 88.78 %, 87.40 %, and 93.67 % in internal test set, 91.23 %, 85.81 %, and 92.70 % in the external test set ,and 95.00 %, 92.86 %, and 94.74 % in the video set, respectively. The hit ratio with the segmentation model was 99.29 %. The accuracy for detection of non-gastritis/common gastritis/other gastritis was 93.6 %. Conclusions The system had decent specificity and accuracy in classification of gastritis lesions. DL has great potential in WLE gastritis classification for assisting with achieving accurate diagnoses after endoscopic procedures.


2018 ◽  
Vol 87 (6) ◽  
pp. AB327-AB328
Author(s):  
Carlos Robles-Medranda ◽  
Manuel Valero ◽  
Miguel Puga-Tejada ◽  
Roberto Oleas ◽  
Joao A. Nebel ◽  
...  

1992 ◽  
Vol 13 (7) ◽  
pp. 273-274
Author(s):  
Frederick H. Lovejoy

Diagnosing poisoning by an unknown agent can be a difficult challenge. Five strategies of assessment may be used in logical sequence, however, to arrive at a diagnosis: (a) history, (b) physical examination, (c) rapid laboratory tests, (d) diagnostic trial, and (e) screening for toxins. This is illustrated by a case history, followed by discussion of a recommended approach and the utilization of these principles to arrive at a diagnosis in the case. Initial Case History A 41/2-year-old boy, with a history of onset of deep breathing following supper, is brought to your office by his mother. He had been alert and well all day, without fever, fully oriented, and without vomiting or diarrhea. He had been playing both in the house and garage in the morning and had spent the afternoon watching television. His temperature is 37.6°C, respiratory rate is 60 breaths per minute with deep inspiration and expiration, and pulse is 100 beats per minute and regular. He is without cyanosis. His pupils are midpoint, his lungs are clear, and his breath has no noticeable odor. What would you ask the mother in an effort to establish a diagnosis? History An unknown agent often can be suspected by history alone. The location of ingestion, if known, can offer clues.


2007 ◽  
Vol 120 (1-2) ◽  
pp. 132-141 ◽  
Author(s):  
S. Speck ◽  
B. Reiner ◽  
W.J. Streich ◽  
C. Reusch ◽  
M.M. Wittenbrink
Keyword(s):  

2018 ◽  
Vol 183 ◽  
pp. 225-230 ◽  
Author(s):  
Pablo Barrio ◽  
Lídia Teixidor ◽  
Lluisa Ortega ◽  
Anna Lligoña ◽  
Nayra Rico ◽  
...  

2010 ◽  
Vol 3 (1) ◽  
pp. 79-83 ◽  
Author(s):  
Ting Dong ◽  
Liansheng Tang
Keyword(s):  

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