Age-Related Lesions of the Pancreas, Relevant to Branch Duct Type IPMT/IPMN and Differential Diagnosis of MCT/MCN

2007 ◽  
pp. 199-208 ◽  
Author(s):  
Koichi Suda ◽  
Katsuhiko Komatsu ◽  
Bunsei Nobukawa ◽  
Keiko Abe ◽  
Kanako Ogura ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Branch Duct ◽  
Age Related ◽  
Branch Duct Type

HIV-Associated Neurocognitive Disorders

2019 ◽  
pp. 27-60
Author(s):  
Jennifer E.  Iudicello ◽  
Erin E. Morgan ◽  
Mariam A. Hussain ◽  
Caitlin Wei-Ming Watson ◽  
Robert K. Heaton
Keyword(s):  
Differential Diagnosis ◽  
Neurocognitive Impairment ◽  
Hiv Treatment ◽  
People Living With Hiv ◽  
Neurocognitive Disorder ◽  
Diagnostic Systems ◽  
Neurocognitive Performance ◽  
Everyday Functioning ◽  
Asymptomatic Neurocognitive Impairment ◽  
Age Related

Human immunodeficiency virus enters the central nervous system (CNS) early after systemic infection, and may cause neural injury and associated neurocognitive impairment through multiple direct and indirect mechanisms. An international conference of multidisciplinary neuroAIDS experts convened in 2005 to propose operationalized research criteria for HIV-related cognitive and everyday functioning impairments. The resulting classification system, known as the Frascati criteria, defined three types of HIV-associated neurocognitive disorder (HAND): asymptomatic neurocognitive impairment, mild neurocognitive disorder, and HIV-associated dementia (HAD). Consideration of comorbid conditions that can influence neurocognitive performance, such as developmental disabilities, non-HIV forms of CNS compromise (neurological and systemic), severe psychiatric conditions, and substance use disorders, is essential to differential diagnosis. Since the introduction of combination antiretroviral therapy (ART), rates of severe HAND (i.e., HAD) have greatly declined, although the milder forms of HAND remain quite prevalent, even in virally suppressed people living with HIV (PLWH). Beyond ART, clinical management of HAND includes behavioral interventions focused on neurocognitive and functional improvements. This chapter covers a range of HAND-related topics, such as the neuropathological mechanisms of HIV-related CNS injury, assessment and diagnostic systems for neurocognitive and everyday functioning impairment in HIV, treatment and protective factors, aging with HIV, HAND in international settings, and ongoing challenges and controversies in the field. Future needs for progress with HAND include advances in early detection of mild cognitive deficits and associated functional impairment in PLWH; biomarkers that may be sensitive to its underlying pathogenesis; and differential diagnosis of HAND versus age-related, non-HIV-associated disorders.

scholarly journals A case of branch duct type intraductal papillary neoplasm of the bile duct treated by open surgery after 11 years of follow-up

2013 ◽  
Vol 1 (6) ◽  
pp. 965-969 ◽  
Author(s):  
MITSURU FUJITA ◽  
NORITAKA WAKUI ◽  
YOSHIYA YAMAUCHI ◽  
YUKI TAKEDA ◽  
TAKEMASA SATO ◽  
...  
Keyword(s):  
Bile Duct ◽  
Open Surgery ◽  
Branch Duct ◽  
Intraductal Papillary Neoplasm ◽  
Branch Duct Type ◽  
Papillary Neoplasm

scholarly journals Age-related aspects of differential diagnosis of acute cough in children and adults

2018 ◽  
Vol 28 (4) ◽  
pp. 461-468
Author(s):  
I. V. Leshchenko ◽  
S. A. Tsar’kova ◽  
A. D. Zherebtsov
Keyword(s):  
Differential Diagnosis ◽  
Anatomical Location ◽  
Pathological Changes ◽  
Review Of Literature ◽  
Acute Cough ◽  
Age Related ◽  
Common Causes ◽  
Diagnostic Work ◽  
Work Up ◽  
Diagnostic Work Up

Cough is one of the most common causes of seeking the primary medical care, especially during the autumn and the spring. This article is a review of literature  aimed at differential diagnosis of possible causes of acute cough in children and  adults. Given a vast majority of diseases associated with cough, differential diagnosis  have to consider several issues. The key issue is cough duration and possible  anatomical location of the pathological changes. An algorithm of differential diagnosis  of acute cough in children and adults and description of most common diseases  associated with acute cough are given in the review. Further diagnostic work-up  should be driven by the duration of cough as soon as the acute cough could be first  manifestation of a chronic disease.

Can the location of the mural nodule indicate benign or malignant in branch duct-type intraductal papillary mucinous neoplasm of the pancreas?

Pancreatology ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1379-1385
Author(s):  
Fumitaka Niiya ◽  
Nobuyuki Ohike ◽  
Tomoko Norose ◽  
Yuichi Takano ◽  
Tetsushi Azami ◽  
...  
Keyword(s):  
Intraductal Papillary Mucinous Neoplasm ◽  
Mural Nodule ◽  
Branch Duct ◽  
Mucinous Neoplasm ◽  
Branch Duct Type

403 Branch Duct Type-Intraductal Papillary Mucinous Neoplasm (BDT-IPMN) of the Pancreas: Does Immunosuppression (IS) Change the Natural History?

2008 ◽  
Vol 134 (4) ◽  
pp. A-56
Author(s):  
Kanwar R. Gill ◽  
Mario Pelaez-Luna ◽  
Andrew Keaveny ◽  
Timothy A. Woodward ◽  
Michael B. Wallace ◽  
...  
Keyword(s):  
Natural History ◽  
Intraductal Papillary Mucinous Neoplasm ◽  
Branch Duct ◽  
Mucinous Neoplasm ◽  
Branch Duct Type

scholarly journals Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 261
Author(s):  
Tae-Young Heo ◽  
Kyoung Min Kim ◽  
Hyun Kyu Min ◽  
Sun Mi Gu ◽  
Jae Hyun Kim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Differential Diagnosis ◽  
Deep Learning ◽  
Macular Degeneration ◽  
Data Augmentation ◽  
Treatment Strategies ◽  
Image Data ◽  
Age Related Macular Degeneration ◽  
Age Related ◽  
Leave One Out

The use of deep-learning-based artificial intelligence (AI) is emerging in ophthalmology, with AI-mediated differential diagnosis of neovascular age-related macular degeneration (AMD) and dry AMD a promising methodology for precise treatment strategies and prognosis. Here, we developed deep learning algorithms and predicted diseases using 399 images of fundus. Based on feature extraction and classification with fully connected layers, we applied the Visual Geometry Group with 16 layers (VGG16) model of convolutional neural networks to classify new images. Image-data augmentation in our model was performed using Keras ImageDataGenerator, and the leave-one-out procedure was used for model cross-validation. The prediction and validation results obtained using the AI AMD diagnosis model showed relevant performance and suitability as well as better diagnostic accuracy than manual review by first-year residents. These results suggest the efficacy of this tool for early differential diagnosis of AMD in situations involving shortages of ophthalmology specialists and other medical devices.

Sign in / Sign up

Export Citation Format

Share Document