Knee Ankyloses Associated with Tuberculosis from the Medieval Hungary - Differential Diagnosis Based on Medical Imaging Techniques

2012 ◽  
Vol 25 (3) ◽  
pp. 352-360
Author(s):  
L. Paja ◽  
H. Coqueugniot ◽  
O. Dutour ◽  
R. Willmon ◽  
G. L. Farkas ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Medical Imaging ◽  
Imaging Techniques

State-of-the-art MR Imaging of Fat-containing Focal Lesions of the Liver

2019 ◽  
Vol 15 (5) ◽  
pp. 435-442
Author(s):  
Joanna Podgorska ◽  
Agnieszka Anysz-Grodzicka ◽  
Andrzej Cieszanowski
Keyword(s):  
Differential Diagnosis ◽  
Imaging Techniques ◽  
Hepatobiliary Phase ◽  
Focal Lesions ◽  
Dysplastic Nodules ◽  
Nodular Hyperplasia ◽  
Specific Finding ◽  
Magnetic Resonance Imaging Mri ◽  
Adrenal Rest ◽  
Mri Characteristics

Background: Fat can be identified in numerous liver lesions, and usually is not a specific finding. Distinguishing between different kinds of fatty deposits is an important part of differential diagnosis. Magnetic Resonance Imaging (MRI) is superior to other imaging techniques because it allows distinguishing intracellular from macroscopic fat. Discussion: Intracellular lipid may be found in focal hepatic steatosis, hepatic adenoma, hepatocellular carcinoma and, less commonly, in focal nodular hyperplasia as well as regenerative and dysplastic nodules. Macroscopic fat is seen in angiomyolipoma, lipoma, metastases from fatcontaining neoplasms, primary or metastatic liposarcoma, hydatid cyst, pseudolipoma of the Glisson capsule, pericaval fat collection, lipopeliosis, hepatic teratoma, focal hepatic extramedullary haematopoiesis and adrenal rest tumour. Conclusion: Liver nodules should be characterised with regard to underlying liver condition, MRI characteristics and contrast enhancement pattern, including hepatobiliary phase. In many cases, identification of fatty content may help narrowing the differential diagnosis.

scholarly journals SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: A review

2021 ◽  
Vol 76 ◽  
pp. 6-14
Author(s):  
Narjes Benameur ◽  
Ramzi Mahmoudi ◽  
Soraya Zaid ◽  
Younes Arous ◽  
Badii Hmida ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Imaging ◽  
Imaging Techniques

scholarly journals Difficulties in the differential diagnosis of tumors in the female reproductive system

2020 ◽  
Vol 13 (4) ◽  
pp. 369-383
Author(s):  
Ju. V. Nosova ◽  
A. E. Solopova ◽  
G. N. Khabas ◽  
A. V. Asaturova
Keyword(s):  
Differential Diagnosis ◽  
Inflammatory Reaction ◽  
Wilms Tumor ◽  
Imaging Techniques ◽  
Uterine Cancer ◽  
Diagnostic Errors ◽  
Diagnostic Tools ◽  
Cytokeratin 20 ◽  
Pelvic Tumors ◽  
Wide Range

Introduction. Most pelvic tumors originate from reproductive organs. Even using the up-to-date imaging techniques, radiologists experience difficulties in determining the source of the lesion since a wide range of tumors look similar to each other on the distorted backdrop of pelvic anatomy, large invasive formations, and an active inflammatory reaction of the pelvic peritoneum.Aim: to evaluate “pitfalls” in the preoperative noninvasive diagnosis of female pelvic tumors by applying the clinical diagnostic tools.Materials and methods. Four rare clinical cases were analyzed; all of them posed difficulties in interpreting the diagnostic examination due to their atypical characteristics. There were 2 cases of ovarian cancer, initially identified by an experienced team of radiologists as benign pelvic pathology. Also, there were fibroids with degeneration, marked proliferative activity, and a massive inflammatory reaction of the peritoneum – that was diagnosed as a malignant ovarian tumor. Tumor biopsies were examined using morphological and immunohistochemical methods (with the р16, Ki-67, p53, CD 117, S 100, CD 34 markers). Immunohistochemical (IHC) studies were performed with formalin-fixed paraffin materials using the avidin-biotin-peroxidase method. Antibodies to estrogen receptor (ER), progesterone receptor (PR), cytokeratin 7 (CK7), cytokeratin 20 (CK20) and Wilms tumor protein 1 (WT1) were also used.Results. A thorough analysis of the clinical picture and a joint multidisciplinary discussion (gynecologist, oncologist, radiologist, etc.) made it possible to avoid diagnostic errors.Conclusion. These observations demonstrate the difficulties of differential diagnosis between ovarian metastases of uterine cancer and primary multiple ovarian and uterine cancer, as well between leiomyosarcoma and uterine myoma with high mitotic activity. Obviously, the change in diagnosis calls for a change in the treatment strategy.

Medical Imaging of the Airway

2019 ◽  
Author(s):  
Gilbert S Tang
Keyword(s):  
Foreign Body ◽  
Medical Imaging ◽  
Mediastinal Mass ◽  
Imaging Techniques ◽  
Traumatic Injury ◽  
Spine Injury ◽  
Non Invasive ◽  
Faraday’S Law ◽  
Magnetic Resonance Imaging Mri ◽  
Abnormal Anatomy

Non-invasive imaging techniques such as ultrasonography, x-ray, computerized tomography (CT) and magnetic resonance imaging (MRI) provide details about airway anatomy that complement the physical examination. They are of particular value in patients with traumatic injury, malignancy, abscess, foreign body or mass in the airway that displace, distort, disrupt, encroach or compress airway structures in ways that may not be readily apparent otherwise. Many anesthesiologists do not receive formal training in interpreting medical imaging, and a thorough discussion of this subject is beyond the scope of this review. Interpreting the subtleties of normal and abnormal anatomy require years of experience and best left to expert radiologists. The goal here is to introduce the imaging techniques available and examples of clinical applications in airway evaluation of interest to the anesthesiologist. This review contains 12 figures, 2 tables, and 37 references. Keywords: piezoelectric effect, photoelectric interaction, Faraday’s law, pneumothorax, cervical spine injury, LeFort fracture, foreign body, airway infection, mediastinal mass

Wavelet Transform-Based Soft Computational Techniques and Applications in Medical Imaging

2016 ◽  
pp. 339-363
Author(s):  
Shabana Urooj ◽  
Satya P. Singh
Keyword(s):  
Neural Networks ◽  
Wavelet Transform ◽  
Medical Imaging ◽  
Biomedical Applications ◽  
Imaging Techniques ◽  
Emission Tomography ◽  
Computational Techniques ◽  
Biomedical Image ◽  
Positron Emission ◽  
Neuro Imaging

The aim of this chapter is to highlight the biomedical applications of wavelet transform based soft computational techniques i.e. wavenet and corresponding research efforts in imaging techniques. A brief introduction of wavelet transform, its properties that are vital for biomedical applications touched by various researchers and basics of neural networks has been discussed. The concept of wavelon and wavenet is also discussed in detail. Recent survey of wavelet based neural networks in medical imaging is another facet of this script, which includes biomedical image denoising, image enhancement and functional neuro-imaging, including positron emission tomography and functional MRI.

History and examination

2014 ◽  
pp. xviii-22
Author(s):  
David A. Mitchell ◽  
Laura Mitchell ◽  
Lorna McCaul
Keyword(s):  
Differential Diagnosis ◽  
Head And Neck ◽  
Medical History ◽  
Imaging Techniques ◽  
Treatment Plan ◽  
Diagnosis And Treatment ◽  
Advanced Imaging

Contents. Relevant pages in other chapters. Principal sources. Listen, look, and learn. Presenting complaint. The dental history. The medical history. Medical examinatio. Examination of the head and neck. Examination of the mouth. Investigations—general. Investigations—specific. Radiology and radiography. Advanced imaging techniques. Differential diagnosis and treatment plan.

HUMAN AIRWAY MODELS CONSTRUCTED BY MEDICAL IMAGING TECHNIQUES

2004 ◽  
Vol 35 ◽  
pp. S1135-S1136
Author(s):  
I. SZŐKE ◽  
I. BALÁSHÁZY ◽  
J. SZABÓ ◽  
K. KARLINGER ◽  
L. PATONAY ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Imaging Techniques ◽  
Human Airway
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