Diagnosis and Classification of Carotid Body Tumors

2013 ◽  
Keyword(s):  
Carotid Body ◽  
Diagnosis And Classification ◽  
Carotid Body Tumors

Presentation with Personality changes and Tinnitus to a Vascular Intervention: Rare case of Carotid Body Paraganglioma

2018 ◽  
pp. e000109
Author(s):  
Ahsan Zil-E-Ali ◽  
Zubair Ahmed ◽  
Amber Ehsan Faquih ◽  
Muhammad Ishaq ◽  
Muhammad Aadil
Keyword(s):  
Case Report ◽  
Carotid Body ◽  
Neuroendocrine Neoplasms ◽  
Vascular Surgeon ◽  
Vascular Intervention ◽  
Presenting Symptoms ◽  
Personality Changes ◽  
Tender Mass ◽  
Carotid Body Tumors ◽  
General Physical

Background: Carotid body paragangliomas are rare neuroendocrine neoplasms of chromaffin negative glomus cells. This case report explains an atypical case with unusual presentation and treatment. Case Report: A healthy smoker technician by profession was brought to the emergency room (ER) with coprolalia. The general physical exam did not reveal any information. His history revealed unilateral tinnitus and odynophagia leading to a consultation by the neurologist with head imaging. Acoustic neuroma was ruled out and the caregiver was asked to elaborate the events mentioned in the history and a psychiatric examination was done. The personality changes were evaluated by the psychiatrist that showed overlapping of delirium and depression. The patient was further examined by a vascular surgeon. After careful revisiting of the history, examination and indication of tender mass in the neck by the patient's vascular surgeon, the diagnosis of carotid body paraganglioma was made which was followed by surgical resection for treatment. Conclusion: Carotid Body Paragangliomas are very vascular structures and their manipulation in a surgery setting requires expertise. This case presented with personality changes and tinnitus, a very less likely event to occur in a carotid body tumor. The present care report, thus adds on to the literature of carotid body tumors and its presenting symptoms.

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

Depression

2017 ◽  
Author(s):  
Philip Cowen
Keyword(s):  
International Classification Of Diseases ◽  
Behavioural Therapy ◽  
Historical Background ◽  
Cognitive Behavioural ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Diagnosis And Classification ◽  
Modern Experience ◽  
Symptoms And Signs

This chapter discusses the symptomatology, diagnosis, and classification of depression. It begins with a brief historical background on depression, tracing its origins to the classical term ‘melancholia’ that describes symptoms and signs now associated with modern concepts of the condition. It then considers the phenomenology of the modern experience of depression, its diagnosis in the operational scheme of ICD-10 (International Classification of Diseases, tenth edition), and current classificatory schemes. It looks at the symptoms needed to meet the criteria for ‘depressive episode’ in ICD-10, as well as clinical features of depression with ‘melancholic’ features or ‘somatic depression’ in ICD-10. It also presents an outline of the clinical assessment of an episode of depression before concluding with an overview of issues that need to be taken into account when addressing approaches to treatment, including cognitive behavioural therapy and the administration of antidepressants.

Diagnoses, Dimensions, and DSM-5

2010 ◽  
pp. 254-279
Author(s):  
Thomas A. Widiger ◽  
Maryanne Edmundson
Keyword(s):  
Substance Use ◽  
Mental Disorders ◽  
Paradigm Shift ◽  
Empirical Support ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Dimensional Classification ◽  
Diagnosis And Classification

The Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) is often said to have provided a significant paradigm shift in how psychopathology is diagnosed. The authors of DSM-5 have the empirical support and the opportunity to lead the field of psychiatry to a comparably bold new future in diagnosis and classification. The purpose of this chapter is to address the validity of the categorical and dimensional models for the classification and diagnosis of psychopathology. Considered in particular will be research concerning substance use disorders, mood disorders, and personality disorders. Limitations and concerns with respect to a dimensional classification of psychopathology are also considered. The chapter concludes with a recommendation for a conversion to a more quantitative, dimensional classification of psychopathology.

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