Differentiating Benign from Malignant Cervical Lymph Nodes with Sonoelastography
Abdelmoniem Mahmoud Mohie-Eldine,
Nabila El-Gazzar,
Emad Mohamed Mashaly,
Reda Abd-Elsameea Alarabawy,
Sherief Abd-ElSalam
Issue:
Volume 5, Issue 4, July 2017
Pages:
42-46
Received:
3 May 2017
Accepted:
3 June 2017
Published:
18 October 2017
Abstract: In the clinical practice, there is many overlap in diagnostic criteria between benign and malignant lymph nodes by grayscale and Doppler sonography. This study was carried out on 30 patients who suffered from enlarged cervical lymph nodes examined with B-mode US, Doppler US and Sonoelastography in the Sonoelastography unit of the Radiology department of Tanta university hospitals to prospectively estimate the accuracy of sonoelastography in the differentiation between benign and malignant cervical lymph nodes. Sonoelastography had the highest sensitivity (92.1%), specificity (95.5%) and accuracy (93.3%) in the differentiation between benign and malignant cervical lymph nodes, so Sonoelastography is a promising technique that is easy and rapid non-invasive to perform and help identifying cervical lesions that are likely to be malignant to avoid hazards that found in tissue biopsy especially in patients with bleeding disorders.
Abstract: In the clinical practice, there is many overlap in diagnostic criteria between benign and malignant lymph nodes by grayscale and Doppler sonography. This study was carried out on 30 patients who suffered from enlarged cervical lymph nodes examined with B-mode US, Doppler US and Sonoelastography in the Sonoelastography unit of the Radiology departme...
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An Open-Source 3D MR Image Visualization Toolkit
Kalim Qureshi,
Javad Haider Kazmi
Issue:
Volume 5, Issue 4, July 2017
Pages:
47-52
Received:
23 February 2016
Accepted:
20 June 2016
Published:
2 November 2017
Abstract: Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of the quality and usefulness of these images. Numerous proprietary visualization toolkits exist on dedicated hardware. A need for an open source 3D MR image visualization toolkit for personal computers is realized which should be cheep, extendable, flexible and easy to integrate. Such a toolkit is designed and developed in this paper.
Abstract: Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of th...
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