# data[].attributes.body
Consensus  is needed

Delphi method to avoid a bias caused by peer pressure

To ensure maximum support and uptake

Be as inclusive as possible

# data[].attributes.body
Recommendations based on hard scientific evidence

If not available, personal expertise of expert panel members

In absence of consensus: flag the issue

# data[].attributes.body
MRI is rapidly evolving (yeah for ISMRM)!

Recommendations should NOT act as a brake

Recommendations should provide well-accepted benchmarks

Recommendations should be version controlled

Recommendations should be revisited by the panel

# data[].attributes.body
Optimal approach dependent on clinical application

Optimal approach may be biomarker specific

Other constraints: maximum duration / cost of scans

Recommendations for individual clinical applications

# data[].attributes.body
Please provide potential topics below!

# data[].attributes.body
Why should we embark on such an adventure? What could be a good reason for it?

# data[].attributes.body
Representative experts of the field

Multiple / all MRI vendors

Senior Chair and Junior Co-chair: 1st / last author on paper

# data[].attributes.body
Which MRI biomarker / method?

Clinical question?

Scope can be adapted dynamically

# data[].attributes.body
Perform a literature review

Extract technical parameters

Tabulate and identify agreements and disagreements

Contact authors for missing info

Identify limiting factors

# data[].attributes.body
Request panel members / authors of recent literature to share study protocols

Include vendor-specific MRI acquisition
parameters

Identify differences in parameters across vendors, scanner models and software versions

May use standard phantoms

# data[].attributes.body
Write down statements

Use anonymous polls

Establish criteria for acceptance (threshold for criterium to be accepted)

# data[].attributes.body
Use MCQ

Open format

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Reformulate statements

Binary answers (agree / disagree) or 'I am not an expert on this'

Open comment box for explanations

# data[].attributes.body
Write a paper to be published in a peer reviewed journal

Include rationale for recommendations

Include guidance for alternative methods (if not widely available)

# data[].attributes.body
Green light: consensus

Orange light: clear preferences without reaching threshold

Red light: Open issue. Requires more work

# data[].attributes.body
Contributions to qualify as an author:

One of the following:

Contribute technical details of protocols / responses to surveys

Help to collect protocols / surveys

Help to develop online supplementary material

Take part in panel T-cons

Other substantial contributions

Either of the following:

Draft of the paper

Revision of the paper

Give final approval

Agree to remain accountable

# data[].attributes.body
Continuous existence of the panel

Membership evolves

Regular revision of recommendations

# data[].attributes.body
Best MRI parameters to predict the weather

How to use Quantitative T2 as a biomarker of wine quality

...

# data[].attributes.headline
People who have published on predicting the weather with MRI! I.e. accepted experts.

# data[].attributes.subject
People who have published on predicting the weather with MRI! I.e. accepted experts.

# data[].attributes.body
Users (neurologists, etc)

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Probably water (rain) is most easily predicted by MRI

# data[].attributes.subject
Probably water (rain) is most easily predicted by MRI

# data[].attributes.headline
Focussing on the biggest challenge in the domain

# data[].attributes.subject
Focussing on the biggest challenge in the domain

# data[].attributes.body
How to reach consensus on that too ?

# data[].attributes.headline
T1w is better than T2w to predict hail storm

# data[].attributes.subject
T1w is better than T2w to predict hail storm

# data[].attributes.headline
A gradient-echo based T1w sequence is better

# data[].attributes.subject
A gradient-echo based T1w sequence is better