Dermoscopy Two Step Algorithm vs Gout Diagnosis

This app is intended to help you interpret the dermoscopic patterns seen with your dermatoscope. You will be asked a series of questions that will lead you to the most probable diagnosis. This app also contains over 80 photos and charts to help you in your diagnosis. No internet connection needed to view the full app. It is all ready for super quick image and information retrieval. There are also 50 interactive cases to solve. Each case starts with a clinical and dermoscopic image and ends with a labelled dermoscopic image pointing out critical structures. This app is based on the 2 step algorithm with the first step involving the determination of whether the lesion is a melanocytic. Melanocytic lesions will be divided into nevi or lesions with varying levels of suspicion for melanoma based on melanoma specific patterns and common nevi patterns. Non-melanocytic lesions will be analyzed to determine if they are suspicious for basal cell carcinoma or squamous cell carcinoma. Common benign lesions such as dermatofibroma, seborrheic keratoses and hemangiomas will be positively identified to avoid unnecessary biopsies. This app will increase your ability to detect skin cancers with greater accuracy thereby decreasing unnecessary biopsies and missing less early melanomas and nonmelanoma skin cancers. Check out https://usatinemedia.com to learn more and watch a video demo of this app narrated by Dr. Richard P. Usatine. Authors: Ashfaq A. Marghoob, MD Memorial Sloan-Kettering Cancer Center New York, New York Richard P. Usatine, MD University of Texas Health Science Center San Antonio, Texas Natalia Jaimes, MD Aurora Skin Cancer Center and Universidad Pontificia Bolivariana Medellin, Colombia To learn more dermoscopy from these authors, see www.americandermoscopy.com. Disclaimer: This app is intended for the education of healthcare professionals and not as a diagnostic and treatment reference for the general population. Disclaimer: While this app may help you in rendering a correct diagnosis, it is not intended to entirely replace the findings on patient history and physical examination including examination of the lesion with side lighting and touch. The final diagnosis rests on properly assimilating the information gained from the patient history, thorough naked eye physical examination, and meticulous dermoscopic inspection of the lesion. 3Gen, Inc. is the sponsor of this app. Visit www.dermlite.com to see their complete line of skin imaging devices. Developed by Usatine Media Richard P. Usatine, MD, Co-President, Professor of Family & Community Medicine, Professor of Dermatology and Cutaneous Surgery, University of Texas Health San Antonio Peter Erickson, Co-President, Lead Software Developer

Gout is a tricky diagnosis to make. Rarely is it made via the gold standard technique of synovial aspiration and polarized light microscopy. The vast majority of diagnoses are clinical. A primary care and rheumatologist team of Dutch researchers led by Hein Janssens derived and published a clinical decision rule in 2010. This app brings that decision rule to primary care physicians, rheumatologists, and acute care (ER/urgent-care) clinicians everywhere. With just a few clicks of information about a patient's case, you can see what the gout diagnosis calculator suggests about the patient's chances of having gout or not having gout. The app is a collaboration by Dr. Joshua Steinberg and Dr. Hein Janssens, both family physicians. The first version offers English and Dutch versions. Updates coming soon will offer German, French, and Spanish versions. The app also contains educational background information about the diagnosis of gout in general and about how the gout diagnostic rule and calculator were developed and later validated. Full references to the literature are provided including links to Pub Med. Like all my apps, this app is intended for clinicians only, not the lay public. It is written to help family physicians, internists, general practitioners, rheumatologists, residents, and students consider the diagnosis of gout in those who present with acute mono-arthritis. As an educator and clinician myself, I am interested in feedback and I would be grateful for guidance on improving this tool.