Diagnosis Commons^™

Sensitivity Of Current Methods For Diagnosing And Documenting Metabolic Syndrome Within A Large Community-Based Health Care System, Tiffany A. Mullen, Danielle M. Greer, Jennifer T. Fink, Renee E. Walker

Journal of Patient-Centered Research and Reviews

Background: Metabolic syndrome (MetS) is a constellation of metabolic conditions, including abdominal obesity, high blood pressure, high triglyceride level, low high-density-lipoprotein level and high fasting blood glucose level, that increase the risk of developing chronic health conditions. Various combinations of diagnostic criteria have been proposed, including those by the National Cholesterol Education Program Adult Treatment Panel III (ATP III), World Health Organization (WHO) and International Diabetes Foundation (IDF), among others. However, inconsistent use of diagnostic criteria and inadequate scientific evidence supporting use of specific criteria are current problems in health care.

Purpose: Quantify the prevalence of MetS diagnosis within the …

Robustness Of A Newly Proposed Risk Schema For Lymphatic Dissemination In Endometrioid Endometrial Cancer, Danielle M. Greer, Jessica J.F. Kram, Callie M. Cox Bauer, Scott A. Kamelle

Journal of Patient-Centered Research and Reviews

Background: Surgical management for endometrioid endometrial cancer (EEC) includes complete lymph node dissection for all patients at risk of lymphatic dissemination. The standard risk schema, defined by Mayo Clinic, identifies low-risk patients as those with grade 1/2 EEC, myometrial invasion (MI) ≤ 50%, and tumor diameter (TD) ≤ 2 cm. We recently proposed (and published) a risk schema containing modified forms of grade, MI and TD that suggests a significant decrease in false-negative rate and need for lymphadenectomy in low-risk women.

Purpose: Evaluate robustness of our proposed schema for lymphatic dissemination risk stratification in a subsequent EEC patient cohort.

Methods: …

Mri Of Suspected Appendicitis During Pregnancy: Interradiologist Agreement, Indeterminate Interpretation And The Meaning Of Non-Visualization Of The Appendix, Richard Tsai, Constantine Raptis, Kathryn J. Fowler, Joseph W. Owen, Vincent M. Mellnick

Radiology Faculty Publications

Objective: To determine the degree of interradiologist agreement between the MRI features of appendicitis during pregnancy, the outcomes associated with an indeterminate interpretation and the negative predictive value of non-visualization of the appendix.

Methods: Our study was approved by the institutional review board at the Washington University in St. Louis, Missouri (WUStL) and was HIPAA (Health Insurance Portability and Accountability Act of 1996)-compliant. The informed consent requirement was waived. Cases of suspected appendicitis during pregnancy evaluated using MRI were retrospectively identified using search queries. Scans were re-reviewed by two radiologists (7 and 9 years experience, respectively) to evaluate the interradiologist …

Characterization Of Different Molecular Markers For Identification Of Salmonella Enterica Serovar Typhi In Pakistani Population, Faizan Muttiullah, Fida Muhammad Khan, Fakhar-I- Abbas, Sabiha Shamim

Journal of Bioresource Management

Typhoid is caused by Salmonella enterica serovar Typhi that is usually diagnosed by using serologic and immuno-chromatographic techniques in developing counties including Pakistan, which is thought to be an unreliable diagnostic method. For accurate diagnosis we used molecular techniques to amplify 204 bp StyR-36 and 498 bp flagellin gene for the identification of Salmonella enterica serovar Typhi. This study was done on 58 individuals diagnosed positive of typhoid via serologic tests and 50 healthy individuals as a control group. Success rate of amplification for flagellin gene was 77.58% while that for StyR-36 gene was 68.97% showing that flagellin gene primer …

Cascaded Multi-View Canonical Correlation (Camcco) For Early Diagnosis Of Alzheimer's Disease Via Fusion Of Clinical, Imaging And Omic Features, Asha Singanamalli, Haibo Wang, Anant Madabhushi, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford Jack, William Jagust, John Trojanowki, Arthur Toga, Laurel Beckett, Robert Green, Andrew Saykin, John Morris, Leslie Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, Lon Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Judith Heidebrink, Charles Smith, Greg A. Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad

Neurology Faculty Publications

The introduction of mild cognitive impairment (MCI) as a diagnostic category adds to the challenges of diagnosing Alzheimer's Disease (AD). No single marker has been proven to accurately categorize patients into their respective diagnostic groups. Thus, previous studies have attempted to develop fused predictors of AD and MCI. These studies have two main limitations. Most do not simultaneously consider all diagnostic categories and provide suboptimal fused representations using the same set of modalities for prediction of all classes. In this work, we present a combined framework, cascaded multiview canonical correlation (CaMCCo), for fusion and cascaded classification that incorporates all diagnostic …

Alzheimer’S Disease: Dawn Of A New Era?, Farideh Amirrad, Emira Bousoik, Kiumars Shamloo, Hassan Al-Shiyab, Viet-Hong Nguyen, Hamidreza Montazeri Aliabadi

Pharmacy Faculty Articles and Research

Alzheimer’s disease (AD) is an irreversible neurodegenerative disease characterized by a progressive decline in cognition and memory, leading to significant impairment in daily activities and ultimately death. It is the most common cause of dementia, the prevalence of which increases with age; however, age is not the only predisposing factor. The pathology of this cognitive impairing disease is still not completely understood, which has limited the development of valid therapeutic options. Recent years have witnessed a wide range of novel approaches to combat this disease, so that they greatly increased our understanding of the disease and of the unique drug …

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Diagnosis And Management In Young People: A Primer, P Rowe, R Underhill, K Friedman, A Gurwitt, Marvin Medow, M Schwartz, N Speight, Julian Stewart, R Vallings, K Rowe

NYMC Faculty Publications

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disease that affects children and adolescents as well as adults. The etiology has not been established. While many pediatricians and other health-care providers are aware of ME/CFS, they often lack essential knowledge that is necessary for diagnosis and treatment. Many young patients experience symptoms for years before receiving a diagnosis. This primer, written by the International Writing Group for Pediatric ME/CFS, provides information necessary to understand, diagnose, and manage the symptoms of ME/CFS in children and adolescents. ME/CFS is characterized by overwhelming fatigue with a substantial loss of physical and mental stamina. …

The Acquisition And Analysis Of Electroencephalogram Data For The Classification Of Benign Partial Epilepsy Of Childhood With Centrotemporal Spikes, Jessica A. Scarborough

Master's Theses

In this thesis, I will expand upon each step in the process of acquiring and analyzing electroencephalogram (EEG) for the classification of benign childhood epilepsy with centrotemporal spikes. Despite huge advancements in the field of health informatics—natural language processing, machine learning, predictive modeling—there are significant barriers to the access of clinical data. These barriers include information blocking, privacy policy concerns, and a lack of stakeholder support. We will see that these roadblocks are all responsible for stunting biomedical research in some way, including my own experiences in acquiring the data for the second chapter of this thesis.

This second chapter …

Restriction Spectrum Imaging Improves Risk Stratification In Patients With Glioblastoma., A P Krishnan, R Karunamuni, K M Leyden, T M Seibert, R L Delfanti, J M Kuperman, H Bartsch, P Elbe, A Srikant, A M Dale, Santosh Kesari, D E Piccioni, J A Hattangadi-Gluth, N Farid, C R Mcdonald, N S White

Articles, Abstracts, and Reports

BACKGROUND AND PURPOSE: ADC as a marker of tumor cellularity has been promising for evaluating the response to therapy in patients with glioblastoma but does not successfully stratify patients according to outcomes, especially in the upfront setting. Here we investigate whether restriction spectrum imaging, an advanced diffusion imaging model, performed after an operation but before radiation therapy, could improve risk stratification in patients with newly diagnosed glioblastoma relative to ADC.

MATERIALS AND METHODS: Pre-radiation therapy diffusion-weighted and structural imaging of 40 patients with glioblastoma were examined retrospectively. Restriction spectrum imaging and ADC-based hypercellularity volume fraction (restriction spectrum imaging-FLAIR volume fraction, …

Newborn Sequencing In Genomic Medicine And Public Health., Jonathan S. Berg, Pankaj B. Agrawal, Donald B. Bailey, Alan H. Beggs, Steven E. Brenner, Amy M. Brower, Julie A. Cakici, Ozge Ceyhan-Birsoy, Kee Chan, Flavia Chen, Robert J. Currier, Dmitry Dukhovny, Robert C. Green, Julie Harris-Wai, Ingrid A. Holm, Brenda Iglesias, Galen Joseph, Stephen F. Kingsmore, Barbara A. Koenig, Pui-Yan Kwok, John Lantos, J Steven Leeder, Megan A. Lewis, Amy L. Mcguire, Laura V. Milko, Sean D. Mooney, Richard B. Parad, Stacey Pereira, Josh E. Petrikin, Bradford C. Powell, Cynthia M. Powell, Jennifer M. Puck, Heidi L. Rehm, Neil Risch, Myra Roche, Joseph T. Shieh, Narayanan Veeraraghavan, Michael S. Watson, Laurel K. Willig, Timothy W. Yu, Tiina Urv, Anastasia L. Wise

Manuscripts, Articles, Book Chapters and Other Papers

The rapid development of genomic sequencing technologies has decreased the cost of genetic analysis to the extent that it seems plausible that genome-scale sequencing could have widespread availability in pediatric care. Genomic sequencing provides a powerful diagnostic modality for patients who manifest symptoms of monogenic disease and an opportunity to detect health conditions before their development. However, many technical, clinical, ethical, and societal challenges should be addressed before such technology is widely deployed in pediatric practice. This article provides an overview of the Newborn Sequencing in Genomic Medicine and Public Health Consortium, which is investigating the application of genome-scale sequencing …

Longitudinal Measurement And Hierarchical Classification Framework For The Prediction Of Alzheimer's Disease, Meiyan Huang, Wei Yang, Qianjin Feng, Wufan Chen, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack Jr., William Jagust, John Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew Saykin, John Morris, Leslie M. Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, Lon S. Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Charles D. Smith, Greg A. Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad

Neurology Faculty Publications

Accurate prediction of Alzheimer’s disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is difficult to construct because of the complex characteristics of neuroimaging data. To address this problem, we present a longitudinal measurement of MCI brain images and a hierarchical classification method for AD prediction. Longitudinal images obtained from individuals with MCI were investigated to acquire important …

Actionable Patient Safety Solution (Apss) #3c: Improve Prevention Of Severe Hypoglycemia, Jerika Lam, Steven Barker, Michael Ramsay, Ariana Longley, Joe Kiani

Pharmacy Faculty Articles and Research

This report presents a plan of action for introducing a "program to reduce errors in the recognition and treatment of [severe hypoglycemia]".

A Randomized Study Comparing Digital Imaging To Traditional Glass Slide Microscopy For Breast Biopsy And Cancer Diagnosis., Joann G Elmore, Gary M Longton, Margaret S Pepe, Patricia A Carney, Heidi D Nelson, Kimberly H Allison, Berta M Geller, Tracy Onega, Anna N A Tosteson, Ezgi Mercan, Linda G Shapiro, Tad T Brunyé, Thomas R Morgan, Donald L Weaver

Articles, Abstracts, and Reports

BACKGROUND: Digital whole slide imaging may be useful for obtaining second opinions and is used in many countries. However, the U.S. Food and Drug Administration requires verification studies.

METHODS: Pathologists were randomized to interpret one of four sets of breast biopsy cases during two phases, separated by ≥9 months, using glass slides or digital format (sixty cases per set, one slide per case,

RESULTS: Sixty-five percent of responding pathologists were eligible, and 252 consented to randomization; 208 completed Phase I (115 glass, 93 digital); and 172 completed Phase II (86 glass, 86 digital). Accuracy was slightly higher using glass compared …