Thyroid Pathology for Pc

1. Viewing multiple examples of the same entity or feature from this large, rich image atlas will strengthen your diagnostic skills and updated you on key concepts in the area of thyroid cytopathology and pathology.

2. The algorithm consists of a series of dichotomous decision points focusing on current diagnostic concepts involved in the diagnosis of thyroid fine needle aspiration specimens.

3. The app is composed of four modules: an interactive teaching algorithm, a searchable image atlas, an image-based quiz, and a flash card module.

4. Flash Cards: The Flash cards module allows you to view a randomly generated assortment of images from the image bank and subsequently view the diagnosis and caption by simply ìflippingî the card over.

5. The Johns Hopkins Atlas of Thyroid Pathology is the sixth teaching app in our series from the Johns Hopkins University Department of Pathology.

6. The atlas can be viewed by diagnosis, features (these features reinforce the diagnostic features used in the algorithm), and Bethesda System category.

7. This app is designed to teach residents, fellows, and practicing pathologists the assessment of thyroid fine needle aspiration specimens with histologic correlation.

8. It is designed with the Bethesda System for Reporting Thyroid Cytopathology in mind, which will help viewers better understand this widely accepted reporting system.

9. Teaching Algorithm: The teaching algorithm is based on the assessment of cytomorphologic features to arrive at a diagnosis.

10. Image Atlas: The image atlas contains over 500 high-resolution color images.

11. While the material includes numerous examples of common entities, such that viewers can experience the variety of morphologies associated with each entity, rare entities are also included.

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