Thread by @Stikov

1/8 CROWDSOURCING THE T1 COMMON GROUND

Now that we showed off the format, time to tell you why this work is important and why it is the only research paper I will publish as senior author in 2023

But first, a big thank you to joint first authors @_mattboud and @agahkarakuzu

2/8 A PDF IS NOT ENOUGH TO IMPLEMENT A PROTOCOL

Even though everybody implemented the same T1 mapping protocol (Barral et al.), the variability was twice as big across sites than within a single site.

This shows the impact of implementation variations across data submissions!

3/8 YOU CAN CHECK IT OUT FOR YOURSELVES

Using this interactive @plotly figure we can compare against the phantom reference values and zoom in to identify outliers.

4/8 QUALITY CONTROL IS ESSENTIAL FOR REVIEW

For quality control, in addition to showing different phantom T1 maps submitted by participants, we gain additional insights by using a dropdown that displays the images at different inversion times.

5/8 DASHBOARDS ARE THE FRIEND YOU DIDN'T KNOW YOU NEEDED

Additionally, we acquired in vivo brain T1 maps. Using our @plotlygraphs dashboard, you can easily switch between measurements to focus on specific regions, sites or vendors.

6/8 KEEP THE LIE FACTOR TO A MINIMUM

With the click of a button, you can change the axis units (eg, % vs. absolute) or the grouping (individual sites vs. vendors) in the statistics section of the dashboard while you’re reading the manuscript.

7/8 VALIDATION IN PHANTOMS IS NOT ENOUGH

A comparison of in vivo white matter at 3T and the NIST phantom sphere that is closest to white matter T1 values at 3T. Variability in phantoms is much smaller than in vivo.

8/8 WHY I WILL NOT PUBLISH ANOTHER RESEARCH ARTICLE THIS YEAR

It took me eight years to publish my first paper. This one kept me busy for three years, so I believe I deserve a break:)

#QualityOverQuantity

qantarot.substack.com/p/10-page-pdfs