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The Data Explorer

Here, one can visualize patterns of lymph node involvement for the patients in the database. The aim is to make it easy to explore the complex dataset and understand correlations between lymph node involvement in different levels and primary tumor characteristics. The basic concept is that buttons on the dashboard act as filters. They allow the user to select subsets of patients from the database. The GUI will then show the number (or percentage) of patients that show involvement in each lymph node level. As such, the dashboard may be used for generating hypotheses, meaning that you, the user, becomes curious and asks questions about correlations or whether lymph node involvement differs between certain patient groups. Most patient characteristics will be explorable using this interface, while others maybe not. In the latter case we encourage you to download the database and test your ideas and hypotheses with your own tools.

Warning: dashboard is NOT for predicting the risk of occult metastases in individual patients. All we do here is visualize data of previously seen patients. For actual risk predictions for individual and newly diagnosed patients, check out our paper on modelling tumor progression or wait a bit, since we are thinking about implementing it also here.

Videos

Get started

Exploring hypotheses

Components

Patient details (top left)

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Primary tumor (bottom left)

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Institutions (center top)

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Modalities (center, below Institutions)

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contra- (center left) & ipsilateral (center right)

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Buttons (bottom right)

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Examples

Full example

Below is an annotated screenshot of a concrete example for how to use the dasboard.

annotated screenshot

The bar plots

Here we have annotated the bar plots showing the actual involvement numbers and statistics. In this case we're looking at a concrete example for the ipsilateral levels III and IV. Note that the absolute numbers are displayed. If one switches views, all the number here become percentages.

annotated bar plot

Contribute

Data

The most straightforward way to support our goal of improving CTV-N definition by better quantifying the patterns of lymphatic progression is to share data from your institution. We would recommend that - if you have data with a sufficient amount of detail - you submit that dataset e.g. to a journal like Data in Brief.

Doing so has a number of benefits:

  • You'll get citations for your work
  • We can use your data and attribute you properly
  • It's actually pretty simple and quick to prepare the Data in Brief submission

In case you are unsure in which format to publish the data or in which repository to store it, feel free to contact us and we willl gladly help you with it!

Features

If you think our dashboard (or other parts of the interface) are missing some critical features, we would love to learn about it, so that we can expand and adapt the functionalities according to what you need.

The best way for us to tell us what features and functionalities you'd like to see is if you could open an issue on the GitHub page of the project by simply clicking on the New Issue button and then describing what you have in mind.

Otherwise just email us at roman.ludwig@usz.ch

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