BreastSentiTTL 1.0
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Free Version
Publisher Description
Calculator for predicting axillary status by OSNA in breast cancer. This software calculates the probability of finding no more positive axillary nodes in patients with positive sentinel node/s through total tumor burden value of sentinel nodes assessed by OSNA (one-step nucleic acid amplification) in patients with early-stage breast cancer. This app has two tools: Calculator based on logistic regression model recalibrated with total tumoral load and Nomogram that include the total tumoral load by OSNA and other variables.
Requires iOS 7.0 or later. Compatible with iPhone, iPad, and iPod touch.
About BreastSentiTTL
BreastSentiTTL is a free app for iOS published in the Health & Nutrition list of apps, part of Home & Hobby.
The company that develops BreastSentiTTL is FLAG Solutions S.L.. The latest version released by its developer is 1.0.
To install BreastSentiTTL on your iOS device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2015-03-12 and was downloaded 3 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the BreastSentiTTL as malware if the download link is broken.
How to install BreastSentiTTL on your iOS device:
- Click on the Continue To App button on our website. This will redirect you to the App Store.
- Once the BreastSentiTTL is shown in the iTunes listing of your iOS device, you can start its download and installation. Tap on the GET button to the right of the app to start downloading it.
- If you are not logged-in the iOS appstore app, you'll be prompted for your your Apple ID and/or password.
- After BreastSentiTTL is downloaded, you'll see an INSTALL button to the right. Tap on it to start the actual installation of the iOS app.
- Once installation is finished you can tap on the OPEN button to start it. Its icon will also be added to your device home screen.
