John Thompson FROC dataset

This is referred to in the book as the "JT" dataset. It consists of 92 cases, 47 of which are diseased, interpreted in two treatments ("1" = CT images acquired for attenuation correction, "2" = diagnostic CT images), by nine radiographers using the FROC paradigm. Each case was a slice of an anthropomorphic phantom 47 with inserted nodular lesions (max 3 per slice). The maximum number of NLs per case, over the entire dataset was 7.

dataset05

Format

A list with 3 elements: $ratings, $lesions and $descriptions; $ratings contain 3 elements, $NL, $LL and $LL_IL as sub-lists; $lesions contain 3 elements, $perCase, $IDs and $weights as sub-lists; $descriptions contain 7 elements, $fileName, $type, $name, $truthTableStr, $design, $modalityID and $readerID as sub-lists;

  • rating$NL num Array[1:2, 1:9, 1:92, 1:7] ratings of non-lesion localizations NLs

  • rating$LL num Array[1:2, 1:9, 1:47, 1:3] ratings of lesion localizations LLs

  • rating$LL_IL NA, This placeholder is used only for LROC data

  • lesions$perCase int Array[1:47], number of lesions per diseased case

  • lesions$IDs num Array[1:47, 1:3], numeric labels of lesions on diseased cases

  • lesions$weights num Array[1:47, 1:3], weights (or clinical importance) of lesions

  • descriptions$fileName chr "dataset05" base name of dataset in `data` folder

  • descriptions$type chr "FROC" the data type

  • descriptions$name chr "THOMPSON", the name of the dataset

  • descriptions$truthTableStr num Array[1:2, 1:9, 1:92, 1:4] truth table structure

  • descriptions$design chr "FCTRL" study design factorial dataset

  • descriptions$modalityID chr Array[1:2] "1" "2", modality labels

  • descriptions$readerID chr Array[1:4] the reader labels

References

Thompson JD Hogg P, et al. (2014) A Free-Response Evaluation Determining Value in the Computed Tomography Attenuation Correction Image for Revealing Pulmonary Incidental Findings: A Phantom Study. Academic Radiology, 21 (4): 538-545.

Examples

res <- str(dataset05)
#> List of 3
#>  $ ratings     :List of 3
#>   ..$ NL   : num [1:2, 1:9, 1:92, 1:7] 4 5 -Inf -Inf 8 ...
#>   ..$ LL   : num [1:2, 1:9, 1:47, 1:3] 5 9 -Inf 10 8 ...
#>   ..$ LL_IL: logi NA
#>  $ lesions     :List of 3
#>   ..$ perCase: int [1:47] 1 1 1 2 2 1 1 1 1 1 ...
#>   ..$ IDs    : num [1:47, 1:3] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ weights: num [1:47, 1:3] 1 1 1 0.5 0.5 1 1 1 1 1 ...
#>  $ descriptions:List of 7
#>   ..$ fileName     : chr "dataset05"
#>   ..$ type         : chr "FROC"
#>   ..$ name         : chr "THOMPSON"
#>   ..$ truthTableStr: num [1:2, 1:9, 1:92, 1:4] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ design       : chr "FCTRL"
#>   ..$ modalityID   : Named chr [1:2] "1" "2"
#>   .. ..- attr(*, "names")= chr [1:2] "1" "2"
#>   ..$ readerID     : Named chr [1:9] "1" "2" "3" "4" ...
#>   .. ..- attr(*, "names")= chr [1:9] "1" "2" "3" "4" ...
## PlotEmpOpChr(dataset = dataset05, opChType = "wAFROC")$Plot