dataset11: Dobbins 1 FROC dataset

In dpc10ster/rjafroc-master: 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 [1:4, 1:5, 1:158, 1:4], ratings of non-lesion localizations, NLs

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

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

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

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

• lesions$weights, num [1:115, 1:20], weights (or clinical importances) 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 [1:4, 1:5, 1:158, 1:21], truth table structure

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

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

• descriptions$readerID, chr [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-master documentation built on Jan. 31, 2024, 1:07 p.m.