This is referred to in the book as the "NICO" dataset. It consists of 200 mammograms, 80 of which contain one malignant mass, interpreted by a CAD system and nine radiologists using the LROC paradigm. The first reader is CAD. The highest rating was used to convert this to an ROC dataset. The original LROC data is datasetCadLroc. Analyzing this data requires methods described in the book, implemented in the function StCadVsRad.

dataset09

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 [1, 1:10, 1:200, 1], ratings of non-lesion localizations, NLs

  • rating$LL, num [1, 1:10, 1:80, 1], ratings of lesion localizations, LLs

  • rating$LL_ILNA, this placeholder is used only for LROC data

  • lesions$perCase, int [1:80], number of lesions per diseased case

  • lesions$IDs, num [1:80, 1], numeric labels of lesions on diseased cases

  • lesions$weights, num [1:80, 1], weights (or clinical importances) of lesions

  • descriptions$fileName, chr, "dataset09", base name of dataset in `data` folder

  • descriptions$type, chr "ROC", the data type

  • descriptions$name, chr "NICO-CAD-ROC", the name of the dataset

  • descriptions$truthTableStr, num [1, 1:10, 1:200, 1:2], truth table structure

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

  • descriptions$modalityID, chr "1", modality label(s)

  • descriptions$readerID, chr [1:10] "1" "2" "3" "4" ..., reader labels

References

Hupse R et al. Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses. Eur Radiol. 2013;23(1):93-100.

Examples

res <- str(dataset09)
#> List of 3
#>  $ ratings     :List of 3
#>   ..$ NL   : num [1, 1:10, 1:200, 1] 28 0 14 0 16 0 31 0 0 0 ...
#>   ..$ LL   : num [1, 1:10, 1:80, 1] 29 12 13 10 41 67 61 51 67 0 ...
#>   ..$ LL_IL: logi NA
#>  $ lesions     :List of 3
#>   ..$ perCase: num [1:80] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ IDs    : num [1:80, 1] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ weights: num [1:80, 1] 1 1 1 1 1 1 1 1 1 1 ...
#>  $ descriptions:List of 7
#>   ..$ fileName     : chr "dataset09"
#>   ..$ type         : chr "ROC"
#>   ..$ name         : chr "NICO-CAD-ROC"
#>   ..$ truthTableStr: num [1, 1:10, 1:200, 1:2] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ design       : chr "FCTRL"
#>   ..$ modalityID   : chr "1"
#>   ..$ readerID     : chr [1:10] "1" "2" "3" "4" ...
## PlotEmpiricalOperatingCharacteristics(dataset = dataset09, rdrs = 1:10, opChType = "ROC")$Plot