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Evaluation of Tracheobronchial Lesions with Virtual Bronchoscopy; Correlation with Fiber Optic Bronchoscopy
Raza Sayani,
Asad Afridi,
Saad Siddiqui,
Jawaid Iqbal,
Ali Abbas
Issue:
Volume 4, Issue 6, November 2016
Pages:
48-51
Received:
12 September 2016
Accepted:
7 October 2016
Published:
18 November 2016
DOI:
10.11648/j.ijmi.20160406.11
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Abstract: The aim of this study was to compare the diagnostic accuracy of 3-D virtual bronchoscopy (VB) with that of Fiber-optic (FB) bronchoscopy in patients who had symptoms of respiratory disorders. Thirty patients underwent VB examination. Thin section helical computerized tomography (CT) image were obtained. The volumetric data was downloaded to a workstation equipped with software for surface shaded rendering technique to achieve interactive 3-D virtual “fly-through” examinations of the tracheobronchial tree. Comparison was made between the results of 3-D virtual bronchoscopy, along with multiplanar reconstruction examination with the findings of conventional FB. This information was correlated with the surgical and pathological outcome wherever possible. Virtual bronchoscopy was true positive in twenty-four lesions. Further analysis revealed six cases were with strictures due to tracheobronchial tuberculosis or infection, eight were strictures due to carcinoma, five were endoluminal growths or polyps, three cases had nodes compressing the bronchi, one case had carcinoma of esophagus with tracheal extension and one had a congenital stricture. Virtual bronchoscopy was found false positive in one case, in which a polyp was misdiagnosed. Two endoluminal growths/ polyps were not appreciated on virtual bronchoscopy due to their small size and mild mucosal irregularity. Sensitivity, specificity, positive and negative predictive values were 96%, 50%, 92% and 66% respectively. To conclude VB represents a noninvasive method for evaluating helical CT findings. Further trials with larger sample size are needed on patient populations with any respiratory tract pathology, who do not have any gross findings on conventional examinations and are thus indicated for conventional bronchoscopy.
Abstract: The aim of this study was to compare the diagnostic accuracy of 3-D virtual bronchoscopy (VB) with that of Fiber-optic (FB) bronchoscopy in patients who had symptoms of respiratory disorders. Thirty patients underwent VB examination. Thin section helical computerized tomography (CT) image were obtained. The volumetric data was downloaded to a works...
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Gallstones: Site, Size, Number, Prevalence and Complications by Ultrasonography
Issue:
Volume 4, Issue 6, November 2016
Pages:
52-56
Received:
22 October 2016
Accepted:
4 November 2016
Published:
12 December 2016
DOI:
10.11648/j.ijmi.20160406.12
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Abstract: This study was undertaken to determine the common sites, sizes, number, complications and the prevalence of gallstones at Almadinah Almunawwarah in Saudi Arabia that is a common medical problem in this region even in young adults and not satisfied by enough previous studies. This was a descriptive retrospective study in which screening of 1018 case from the PACS system was done for gallstones. Those patients were subjected to abdominal ultrasound (US) imaging. The collected data analyzed by using the Microsoft word 2013 and SPSS. The prevalence of gallstones in this study is 18-23.5% and exactly 69.57% of gallstones were in females and 30.43% in males. Gallstones increase with age to peak in elderly. Approximately 58.15% of gallstones were multiple stones in the gallbladder and 39.13% were solitary stone. Nearly 61.41% were mobile stones in the gallbladder, 11.41% were impacted stones in the neck of the GB and 13% of the gallstones were filling the whole lumen of the GB. Approximately 60.66% of gallstones were 5 to 20 mm in the largest diameter, 20.77% less than 5 mm and only 15.30% were larger than 20 mm. The conclusion is gallstones are a common problem in Saudi Arabia and the ratio of cholecystectomy is high. Gallstones affect female twice as they affect males. Multiple stones of the GB are more common than solitary. Most cases of gallstones are mobile stones, filling the GB or impacted in the neck of the gallbladder. Most cases of gallstones are 5-20 mm in size.
Abstract: This study was undertaken to determine the common sites, sizes, number, complications and the prevalence of gallstones at Almadinah Almunawwarah in Saudi Arabia that is a common medical problem in this region even in young adults and not satisfied by enough previous studies. This was a descriptive retrospective study in which screening of 1018 case...
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A BP Neural Networks Algorithm for High Resolution of Biomedical Modeling and Image Segmentation
Zheng Xiang,
Hui Xie,
Junhao Li,
Zhengying Cai
Issue:
Volume 4, Issue 6, November 2016
Pages:
57-69
Received:
23 October 2016
Accepted:
7 November 2016
Published:
29 December 2016
DOI:
10.11648/j.ijmi.20160406.13
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Abstract: High resolution of image segment algorithm plays a very important role in biomedical modeling and diagnosis, which is difficult to be easily solved by traditional algorithms. This article presents a biomedical image segment algorithm based on computational intelligence. First, an assessment method for image resolution is proposed here, and some related models are also compared. In addition, the assessment method aims at high resolution, rather than defining a comprehensive model of the human visual system. Second, a high resolution algorithm is illustrated where the BP neural network is trained from numerical features. The proposed approach permits person to get biomedical model with a high resolution. Third, some experimental results are presented for illustration, and the numerical analysis verifies the resolution measurement and the effectiveness of the BP neural method. Last, some interesting conclusions and future work are indicated at the end of the paper.
Abstract: High resolution of image segment algorithm plays a very important role in biomedical modeling and diagnosis, which is difficult to be easily solved by traditional algorithms. This article presents a biomedical image segment algorithm based on computational intelligence. First, an assessment method for image resolution is proposed here, and some rel...
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