# LIONS PREY — Lung Lesions

> Lung Lesions (iPhone/iPad app by Covenant Data Systems, LLC.)

- Source: https://appshunter.io/ios/app/lions-prey/id1585269322 (this page in markdown: same URL + `.md`)
- Developer: [Covenant Data Systems, LLC](https://appshunter.io/developer/1393847632)
- Category: Medical, Education
- Price: Free
- Age rating: 4+
- Requires: iOS 16.6 · 1 MB
- Languages: American English
- Released: 2021-10-17
- Data updated: 2026-07-07
- User reviews in markdown: https://appshunter.io/ios/app/lions-prey/id1585269322/reviews.md

## What is LIONS PREY?

Disclaimer: This software is used as an educational tool to estimate chances of cancer in lung nodules. This is not designed to recommend medical treatment of any kind.  Any treatment or observation of this or any other medical condition should only be made after discussions between the patient and their healthcare providers.

The classification of pulmonary lesions in terms of malignancy is at times controversial. A system to predict malignancy of these lesions would be helpful in making decisions for subsequent surveillance and therapy. We developed the ‘LIONS PREY’ (Lung lesION Score PREdicts malignancY), a new and simple logistic scoring system, which precisely predicts malignancy of pulmonary nodules in percent. All patients that were presented with a pulmonary lesion to the MDT of the Department of Cardiothoracic Surgery at the University of Cologne/Germany, were prospectively evaluated. Availability of pathological result was mandatory upon study inclusion. After uni- and multivariate analysis eight relevant score parameters were identified. MDT members could use the new score to reinforce and facilitate decision making. Especially inexperienced physicians have a tool that helps them focusing on essential parameters. Patients may find it easier to consent to surgery knowing the likelihood of pulmonary malignancy. We presented the ‘LIONS PREY’ at the European Association for Cardio-Thoracic Surgery (EACTS) Annual Meeting held in Barcelona in October 2021. Authors: Doerr F, Giese A, Menghesha H, Schlachtenberger G, Heldwein M, Wahlers T, Hekmat K.  “A new logistic scoring system for the prediction of malignant pulmonary nodules”,  EACTS 2021.


## Version history (last 3 releases)

### 2.0 — 2025-10-08

We have improved the design and have added PET scan SUV max as a variable.

### 1.1 — 2021-10-24

User can now make calculation without requirement of serial CT scans.

### 1.0 — 2021-10-17

No release notes.

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All apps by Covenant Data Systems, LLC: https://appshunter.io/developer/1393847632

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-07-07.*