Dobbins 1 FROC dataset

This is referred to in the book as the "DOB1" dataset. Dobbins et al conducted a multi-institutional, MRMC study to compare the performance of digital tomosynthesis (GE's VolumeRad device), dual-energy (DE) imaging, and conventional chest radiography for pulmonary nodule detection and management. All study images were obtained with a flat-panel detector developed by GE. The case set consisted of 158 subjects, of which 43 were non-diseased and the rest had 1 - 20 pulmonary nodules independently verified, using with CT images, by 3 experts who did not participate in the observer study. The study used FROC paradigm data collection. There are 4 treatments labeled 1 - 4 (conventional chest x-ray, CXR, CXR augmented with dual-energy (CXR+DE), VolumeRad digital tomosynthesis images and VolumeRad augmented with DE (VolumeRad+DE).

dataset11

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[1:4, 1:5, 1:158, 1:4] ratings of non-lesion localizations NLs

  • rating$LL num Array[1:4, 1:5, 1:115, 1:20] ratings of lesion localizations LLs

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

  • lesions$perCase int Array[1:115], number of lesions per diseased case

  • lesions$IDs num Array[1:115, 1:20], numeric labels of lesions on diseased cases

  • lesions$weights num Array[1:115, 1:20], weights (or clinical importance) of lesions

  • descriptions$fileName chr "dataset11", base name of dataset in `data` folder

  • descriptions$type chr "FROC" the data type

  • descriptions$name chr "DOBBINS-1", the name of the dataset

  • descriptions$truthTableStr num Array[1:4, 1:5, 1:158, 1:21] truth table structure

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

  • descriptions$modalityID chr Array[1:4] "1" "2" "3" "4", modality label(s)

  • descriptions$readerID chr Array[1:5] "1" "2" "3" "4" ..., reader labels

References

Dobbins III JT et al. Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules. Radiology. 2016;282(1):236-250.

Examples

res <- str(dataset11)
#> List of 3
#>  $ ratings     :List of 3
#>   ..$ NL   : num [1:4, 1:5, 1:158, 1:4] -Inf -Inf -Inf -Inf -Inf ...
#>   ..$ LL   : num [1:4, 1:5, 1:115, 1:20] -Inf -Inf -Inf -Inf -Inf ...
#>   ..$ LL_IL: logi NA
#>  $ lesions     :List of 3
#>   ..$ perCase: int [1:115] 6 4 7 1 3 3 3 8 11 2 ...
#>   ..$ IDs    : num [1:115, 1:20] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ weights: num [1:115, 1:20] 0.167 0.25 0.143 1 0.333 ...
#>  $ descriptions:List of 7
#>   ..$ fileName     : chr "dataset11"
#>   ..$ type         : chr "FROC"
#>   ..$ name         : chr "DOBBINS-1"
#>   ..$ truthTableStr: num [1:4, 1:5, 1:158, 1:21] 1 1 1 1 1 1 1 1 1 1 ...
#>   ..$ design       : chr "FCTRL"
#>   ..$ modalityID   : Named chr [1:4] "1" "2" "3" "4"
#>   .. ..- attr(*, "names")= chr [1:4] "1" "2" "3" "4"
#>   ..$ readerID     : Named chr [1:5] "1" "2" "3" "4" ...
#>   .. ..- attr(*, "names")= chr [1:5] "1" "2" "3" "4" ...