scholarly journals Usefulness of computer-assisted ECG analysis in the pre-operative evaluation of noncardiac surgery

2020 ◽  
Vol 37 (11) ◽  
pp. 1075-1077
Author(s):  
Ancor Sanz-García ◽  
Alberto Cecconi ◽  
Enrique Alday ◽  
Maurizio Cecconi ◽  
Miriam Perez-Romero ◽  
...  
Keyword(s):  
Noncardiac Surgery ◽  
Computer Assisted ◽  
Ecg Analysis ◽  
Operative Evaluation

scholarly journals Computer-assisted contralateral side comparison of the ankle joint using flat panel technology

2021 ◽  
Author(s):  
Sarina Thomas ◽  
Lisa Kausch ◽  
Holger Kunze ◽  
Maxim Privalov ◽  
André Klein ◽  
...  
Keyword(s):  
Information Gain ◽  
Contralateral Side ◽  
Computer Assisted ◽  
Ankle Joints ◽  
Additional Radiation ◽  
Median Position ◽  
Operative Evaluation ◽  
Overall Performance ◽  
The Individual ◽  
Segmentation Problem

Abstract Purpose Reduction and osteosynthesis of ankle fractures is a challenging surgical procedure when it comes to the verification of the reduction result. Evaluation is conducted using intra-operative imaging of the injured ankle and depends on the expertise of the surgeon. Studies suggest that intra-individual variance of the ankle bone shape and pose is considerably lower than the inter-individual variance. It stands to reason that the information gain from the healthy contralateral side can help to improve the evaluation. Method In this paper, an assistance system is proposed that provides a side-to-side view of the two ankle joints for visual comparison and instant evaluation using only one 3D C-arm image. Two convolutional neural networks (CNN) are employed to extract the relevant image regions and pose information of each ankle so that they can be aligned with each other. A first U-Net uses a sliding window to predict the location of each ankle. The standard plane estimation is formulated as segmentation problem so that a second U-Net predicts the three viewing planes for alignment. Results Experiments were conducted to assess the accuracy of the individual steps on 218 unilateral ankle datasets as well as the overall performance on 7 bilateral ankle datasets. The experiments on unilateral ankles yield a median position-to-plane error of $$0.73\pm 1.36$$ 0.73 ± 1.36 mm and a median angular error between 2.98$$^\circ $$ ∘ and 3.71$$^\circ $$ ∘ for the plane normals. Conclusion Standard plane estimation via segmentation outperforms direct pose regression. Furthermore, the complete pipeline was evaluated including ankle detection and subsequent plane estimation on bilateral datasets. The proposed pipeline enables a direct contralateral side comparison without additional radiation. This has the potential to ease and improve the intra-operative evaluation for the surgeons in the future and reduce the need for revision surgery.

Methodology of ECG Interpretation in the Louvain Program

1990 ◽  
Vol 29 (04) ◽  
pp. 403-409 ◽  
Author(s):  
C. R. Brohet ◽  
C. Derwael ◽  
A. Robert ◽  
R. Fesler
Keyword(s):  
Quantitative Analysis ◽  
High Resolution ◽  
Clinical Utility ◽  
Visual Analysis ◽  
Diagnostic Classification ◽  
Computer Assisted ◽  
Reference Standard ◽  
Independent Evidence ◽  
Ecg Analysis ◽  
Ecg Interpretation

AbstractThe Louvain program performs the analysis and interpretation of the vectorcardiogram (VCG) to increase the clinical utility of ECG analysis. Among its original features, there are (1) a high-resolution vector-loop display for visual analysis, (2) quantitative analysis of the spatial VCG using age-sex stratified limits, (3) separate software for adult and pediatric series and (4) complementary deterministic and statistical methods of diagnostic classification. Using objective, ECG-independent evidence as a reference standard, the Louvain program has shown satisfactory levels of diagnostic accuracy in most basic categories. However, its usefulness is especially marked in “borderline” or “complex” situations, where the 12-lead ECG cannot provide a clear answer. It corresponds to the concept of “computer-assisted ECG interpretation” as opposed to “computer ECG analysis”.

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