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This test demonstrates the workflow when a dataset with a missing structure is attempted to be pseudonymised.

To perform the pseudonymisation in this test, you will need to have performed the following:

• In the non-anonymised XNAT a subject Lung_SABR_planning has to have the session zzz-SARONplanning. This dataset was imported in this user test.
• The additional clinical trials have to be installed as done in this user test.

• Navigate to the session zzz-SARONplanning of subject Lung_SABR_planning.
• Pseudonymise this session as described here with the following settings:
  • Select a manual psudonymisaion,
  • Project RTTQA as the target project,
  • Trial trial_testAddMissing,
  • Trial subject ID [YourHospitalCode]_subAddMissing_03 (again, replace [YourHospitalCode] as previously done)
  • Trial session ID [YourHospitalCode]_sesAddMissing_03.
• When you now click on Validate you will notice that there are more required structures (i.e. 6) than currently available (i.e. 5). You need to Cancel this pseudonymisation. In a real-world application scenario this means that you have to
  • go back to your TPS,
  • add the missing structure,
  • export the structure and linked image and
  • import the new dataset into DASHER.
• We have a dataset ready for you where these steps were performed here: [user_test_data_dir]/importMissingStructure_part2. Import this dataset either via the observed import folder or via a DICOM push into DASHER.
• Monitor the import progress in the prearchive and see how a conflict is raised because a dataset with the same subject and session ID already exists.
• Resolve the import conflict by renaming the imported session to zzz-SARONplanning_addStruct as described here.
• Once the import is complete, navigate to the session zzz-SARONplanning_addStruct of subject Lung_SABR_planning.
• Pseudonymise this session as described here with the following settings above.
• Now, validate and pseudonymise this session.
• Follow the steps performed in this User Test to validate the pseudonymisation with your TPS.

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Next User Test: Pseudonymise for local research