AV-45 PET QC Tracking

See http://adni.loni.usc.edu.

data(av45qc)

Format

A data frame with 2707 rows and 35 variables

Details

A dataset with variables as follows:

  • RID N NA Participant roster ID

  • SITEID N NA Site ID

  • VISCODE T NA Visit code

  • USERDATE S NA Date record created

  • USERDATE2 S NA Date record last updated

  • RECNO N NA

  • EXAMDATE D NA Examination Date

  • PQFILENO N NA Upload Number

  • PQDATTRA D NA Date images uploaded to LONI

  • LONIUID T NA LONI Unique Series ID

  • PQDATE D NA Date reviewed

  • PQACQFR N NA Acquisition

  • PQCORALG N NA Correct Reconstruction Algorithm?

  • PQRECON N NA Check which of the following reconstruction algorithms was used

  • PQCORNUM N NA If FORE/2D-OSEM, OSEM3D, or 3D Iterative, correct # subsets and iterations?

  • PQCORFIL N NA Correct Filters/TRIM?

  • PQCORTHI N NA Correct Slice Thickness (PET/CT systems)?

  • PQVOXEL N NA Acceptable Voxel Size?

  • PQALLFRAME N NA Were all frames acceptable?

  • PQUNUSABLE T NA Indicate which frames were unacceptable:

  • PQREASON T NA Indicate why frames were unacceptable:

  • PQREASSP T NA If Other, Specify:

  • PASS N NA Pass QC?

  • PQPROERR T NA A. Processing Error(s)

  • PQERRSP T NA Specify

  • PQACTION N NA B. QC outcome

  • PQISSUES T NA Imaging issues

  • PQISSOTH T NA Other, specify

  • COMMENTS T NA Additional QC Comments

  • QUARANTINE N NA Release from quarantine?

  • PAYSITE N NA Pay Site?

  • SCAN N NA Scan

  • PQNONESP T NA If unusable, reason for not rescanning

Examples