# Ovarian Tumor Pathology — Hopkins Atlas of Pathology

> Ovarian tumor pathology atlas with images, quiz, and teaching algorithm. (iPhone/iPad app by Johns Hopkins Technology Transfer.)

- Source: https://appshunter.io/ios/app/ovarian-tumor-pathology/id1450813424 (this page in markdown: same URL + `.md`)
- Developer: [Johns Hopkins Technology Transfer](https://appshunter.io/developer/488749253)
- Category: Education, Medical
- Price: $4.99
- Rating: 5.00/5 from 1 App Store ratings
- Age rating: 12+
- Requires: iOS 12.0 · 579 MB
- Languages: American English
- Released: 2019-01-30
- Data updated: 2026-06-21
- Monetization: paid
- User reviews in markdown: https://appshunter.io/ios/app/ovarian-tumor-pathology/id1450813424/reviews.md

## What is Ovarian Tumor Pathology?

Volume 5 in the Series: The Johns Hopkins Atlases of Pathology

AUTHORS: Emanuela F. T. Veras, Ayse Ayhan, Tsui-Lien Mao, Marissa J. White, and Norman J. Barker

SERIES EDITORS: Toby C. Cornish, Norman J. Barker, and Ralph H. Hruban

The Johns Hopkins Atlas of Ovarian Tumor Pathology is the fifth teaching app in our series from the Johns Hopkins University Department of Pathology. This app provides an easily accessible atlas with as many as possible images on each specific entity, common and rare documented variations on every neoplasm, along with succinct, explanatory descriptions that would aid the novice in the field as well as the experienced professional to arrive at the correct diagnosis. Although the focus of this work is on neoplastic ovarian lesions, we have also included selected examples of non-neoplastic entities and normal ovarian structures we deem as important to recognize.

This app follows the format presented in previous atlases of this series. It is composed of four modules: an interactive teaching algorithm, a searchable image atlas, an image-based quiz, and a flash card module. 

The image atlas contains over 1600 high resolution color images with expertly-authored captions. These microscopic, macroscopic and radiographic images can be viewed together or separately, and two entities can be compared, side-by-side. The atlas can be viewed by diagnosis or by features (these features re-enforce the diagnostic features used in the algorithm), and the atlas can be searched using a key word search. You can create your own albums and add images you select from from the atlas to these albums. 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 “flipping” the card over.

For our teaching algorithm, we present the reader with our general approach to the challenging mucinous tumors of the ovary. This module consists of sequential steps, including approach to the gross (laterality/size)/microscopic characteristics (stratified/non-stratified epithelium) and immunohistochemical profiles of primary and the most common secondary mucinous tumors to the ovary, each step prompting the selection of one out of two presented options, until a final diagnosis is reached. 

We welcome your feedback. Please e-mail Dr. Hruban at rhruban@jhmi.edu. If you find an error, please let us know so we can correct it.

## Key features

- Interactive teaching algorithm
- Searchable image atlas
- Over 1600 high-resolution images
- Image-based quiz
- Flash card module
- Customizable image albums


## Frequently asked questions about Ovarian Tumor Pathology

### What is Ovarian Tumor Pathology?

Ovarian Tumor Pathology is an educational app serving as a comprehensive atlas for identifying and diagnosing ovarian tumors. It includes a vast image library, diagnostic algorithms, quizzes, and flashcards to assist users in making accurate diagnoses.

### Who are the authors of Ovarian Tumor Pathology?

The authors of Ovarian Tumor Pathology are Emanuela F. T. Veras, Ayse Ayhan, Tsui-Lien Mao, Marissa J. White, and Norman J. Barker. They are part of the Johns Hopkins University Department of Pathology.

### What kind of images are included in Ovarian Tumor Pathology?

The app features over 1600 high-resolution color images, including microscopic, macroscopic, and radiographic views of ovarian lesions. These images are accompanied by expertly written captions.

### Can I compare different ovarian tumors using Ovarian Tumor Pathology?

Yes, the image atlas allows you to view two entities side-by-side for direct comparison. This feature helps in differentiating between common and rare variations of neoplasms.

### Does Ovarian Tumor Pathology offer a trial period?

The provided data indicates that Ovarian Tumor Pathology is a paid application priced at $4.99. There is no mention of a trial period in the app's description or details.

### How often is Ovarian Tumor Pathology updated?

The latest version of Ovarian Tumor Pathology is 1.4.2, last updated on February 24, 2026. This suggests a commitment to regular updates for content and functionality.

### What is the age rating for Ovarian Tumor Pathology?

Ovarian Tumor Pathology has an age rating of 12+. This indicates it is suitable for users aged 12 and older, suggesting content that may be complex but not inappropriate for younger teens.

### Is Ovarian Tumor Pathology available on Android devices?

Based on the provided information, Ovarian Tumor Pathology is currently supported on iPad devices only. There is no mention of Android compatibility.

## Version history (last 3 releases)

### 1.4.2 — 2026-02-24

updated to work with iOS 26.2; UI fixes; database fixes

### 1.01 — 2019-02-11

Typo fix

### 1.0 — 2019-01-29

No release notes.

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