The Accuracy Rate in Comprehension of Aspects of Nasal Bone Fracture Based on Simple X-ray and 2D CT Compared with 3D Image

2012 ◽  
Vol 13 (2) ◽  
pp. 111 ◽  
Author(s):  
Dong Gil Han ◽  
Tae Seob Kim ◽  
David Dae Hwan Park ◽  
Jeong Su Shim ◽  
Yong Jig Lee
Keyword(s):  
Bone Fracture ◽  
Nasal Bone ◽  
3D Image ◽  
Accuracy Rate ◽  
X Ray

scholarly journals Medicolegal aspects of Nasal Bone Fractures

2016 ◽  
Vol 9 (4) ◽  
Author(s):  
Tahir Qadeer Khan ◽  
Khawja Khurshid Ahmad ◽  
Asim Shaukat ◽  
Yasser Yamin ◽  
Sarfraz Ahmad ◽  
...  
Keyword(s):  
Bone Fracture ◽  
Bone Fractures ◽  
Nasal Bone ◽  
Clinical Suspicion ◽  
Medicolegal Aspects ◽  
X Ray ◽  
The Face

Conducted in the Department of Radiology, Lahore in collaboration with Surgeon Medico Legal and his team, this study contained 50 patients who presented with trauma to the face and the clinical suspicion was of Nasal Bone fracture. All the patients underwent X ray examination of the Nose. The x ray examination showed that all of the patients did not have Fractures 40 patients had fracture of Nasal bone and this changed the management as well as the severity of the injury and hence the punishment

scholarly journals Incidence, evaluation and management of nasal bone fracture: study of 60 cases

2021 ◽  
Vol 7 (9) ◽  
pp. 1478
Author(s):  
Sanjay M. Tota ◽  
Niral R. Modi
Keyword(s):  
Bone Fracture ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Nasal Bone ◽  
Lateral Impact ◽  
Common Cause ◽  
X Ray ◽  
The Road ◽  
Impact Injury

<p class="abstract"><strong>Background:</strong> It was retrospective and prospective study of 60 nasal bone fracture patients we treated at our hospital. We analyzed them for their age and sex incidence, side prevalance, presentation and their treatment option.</p><p class="abstract"><strong>Methods:</strong> Through history was taken and examination was done and these cases were investigated with CT scan or X-ray than treated period.</p><p class="abstract"><strong>Results:</strong> Most common involved patients were males (73%) than the females (27%). In our study, most common cause of nasal bone fracture was the road traffic accident (59%) and less common cause of nasal bone fracture was assaulted trauma. Most commonly done about 60% radiological investigation were only X-ray bilateral nasal bone. In this study fracture bone reduction was done under local anesthesia or sedation in 87% of patients and general anesthesia in 13% of patients. Most commonly affected patients of nasal bone fracture had lateral impact injury (70%) than the frontal impact injury. We treated 77% patients of nasal bone fracture by closed reduction and the patients with linear non-displaced nasal bone fracture by medication.</p><p class="abstract"><strong>Conclusions:</strong> Male were more affected than the female and common age group was 11 to 30 years. Most common cause of nasal bone fracture was the road traffic accident. In nasal bone fracture the lateral impact injury was more common, in treatment of nasal bone fracture simple nasal X-ray were useful tool for management of nasal bone fracture. Closed nasal bone fracture reduction did under local anesthesia in most of patients.</p>

scholarly journals Precisely Closed Reduction of Nasal Bone Fracture Assisted With Plain Film Measurements Under the Picture Archiving and Communication System

2021 ◽  
pp. 014556132110121
Author(s):  
Tzu-Hsien Yang ◽  
Chien-Liang Fang ◽  
Chong-Bin Tsai ◽  
Ming-Shan Chen ◽  
Chih-Hsuan Changchien ◽  
...  
Keyword(s):  
Bone Fracture ◽  
Communication System ◽  
Closed Reduction ◽  
Operative Time ◽  
Nasal Bone ◽  
Plain Film ◽  
Ao Classification ◽  
Group A ◽  
Picture Archiving And Communication ◽  
Group B

Objectives: To prevent aesthetic and functional deformities, precisely closed reduction is crucial in the management of nasal fractures. Plain film radiography (PF), ultrasonography (USG), and computed tomography can help confirm the diagnosis and classification of fractures and assist in performing closed reduction. However, no study in the literature reports on precisely closed reduction assisted with PF measurements under the picture archiving and communication system (PACS). Methods: We retrospectively evaluated 153 patients with nasal bone fracture between January 2013 and December 2017. Surgeons conducted precisely closed reduction assisted with PF measurement of the distance between the fracture site and nasal tip under PACS on 34 patients (group A). Another group on 119 patients were reduced under surgeon’s experience (group B). Results: No significant differences in age, gender, Arbeitsgemeinschaft fur Osteosynthesefragen (AO) classification, and reduction outcome were observed between group A and group B ( P > .05). The operative time of the group A was significantly lower (12.50 ± 4.64 minutes) compared to group B (23.78 ± 11.20 minutes; P < .001). After adjusted age, gender, and AO classification, patients in group A scored 10.46 minutes less on the operative time than those in group B ( P < .001). In addition, the severity of nasal bone fracture (AO classification, β = 3.37, P = .002) was positive associated with the operative time. Conclusions: In this study, closed reduction in nasal bone fracture assisted with PF measurements under PACS was performed precisely, thereby effectively decreasing operative time and the occurrence of complications. This procedure requires neither the use of new instruments or C-arm nor USG or navigation experience. Moreover, reduction can be easily performed using this method, and it requires short operative time, helps achieve great reduction, less radiation exposures, and is cost-effective.

scholarly journals Identification of Bone Fragmentation in X-Ray Images using Contour Detection Algorithm

2019 ◽  
Vol 8 (9) ◽  
pp. 2121-2124
Keyword(s):  
Edge Detection ◽  
Bone Fracture ◽  
Detection Algorithm ◽  
Contour Detection ◽  
Crack Identification ◽  
Fracture Detection ◽  
Canny Edge Detection ◽  
X Ray ◽  
Base Paper ◽  
Canny Edge

The crack can occur in any bone ofour body. Broken bone is a bone condition that endured a breakdown of bone trustworthiness. The Fracture can't recognize effortlessly by the bare eye, so it is found in the x-beam images. The motivation behind this task is to find the precise territory where the bone fracture happens utilizing X-Ray Bone Fracture Detection by Canny Edge Detection Method. Shrewd Edge Detection technique is an ideal edge identification calculation on deciding the finish of a line with alterable limit and less error rate. The reproduction results have indicated how canny edge detection can help decide area of breaks in x-beam images. In the base paper, the cracked bit is chosen physically to defeat this downside, the proposed technique identify the bone fracture consequently and furthermore it quantifies the parameter like length of the crack, profundity of the fracture and the situation of the crack as for even and vertical pivot. The outcome demonstrates that the proposed technique for crack identification is better. The outcomes demonstrate that calculation is 91% exact and effective

Influence of Nasal Bone Fracture and Its Reduction on the Airway

2009 ◽  
Vol 63 (1) ◽  
pp. 63-66 ◽  
Author(s):  
Kyung-Wook Chun ◽  
Seung-Kyu Han ◽  
Sang-Bum Kim ◽  
Woo-Kyung Kim
Keyword(s):  
Bone Fracture ◽  
Nasal Bone

scholarly journals Classification of Pneumonia Cell Images Using Improved ResNet50 Model

2021 ◽  
Vol 38 (1) ◽  
pp. 165-173
Author(s):  
Ahmet Çınar ◽  
Muhammed Yıldırım ◽  
Yeşim Eroğlu
Keyword(s):  
Error Rates ◽  
Lung Imaging ◽  
Imaging Method ◽  
Data Sets ◽  
Accuracy Rate ◽  
Traditional Methods ◽  
X Ray ◽  
Qualified Personnel ◽  
Patient Will

Pneumonia is a disease caused by inflammation of the lung tissue that is transmitted by various means, primarily bacteria. Early and accurate diagnosis is important in reducing the morbidity and mortality of the disease. The primary imaging method used for the diagnosis of pneumonia is lung x-ray. While typical imaging findings of pneumonia may be present on lung imaging, nonspecific images may be present. In addition, many health units may not have qualified personnel to perform this procedure or there may be errors in diagnoses made by traditional methods. For this reason, computer systems can be used to prevent error rates that may occur in traditional methods. Many methods have been developed to train data sets. In this article, a new model has been developed based on the layers of the ResNet50. The developed model was compared with the architectures InceptionV3, AlexNet, GoogleNet, ResNet50 and DenseNet201. In the developed model, the maximum accuracy rate was achieved as 97.22%. The model developed was followed by DenseNet201, ResNet50, InceptionV3, GoogleNet and AlexNet, respectively, according to their accuracy. With these developed models, the diagnosis of pneumonia can be made early and accurately, and the treatment management of the patient will be determined quickly.

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