dataset11: Dobbins 1 FROC dataset

In dpc10ster/RJafroc: Artificial Intelligence Systems and Observer Performance

Dobbins 1 FROC dataset

Description

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).

Usage

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)

dpc10ster/RJafroc documentation built on June 13, 2025, 10:07 p.m.