title: Computerized three-class classification of MRI-based prognostic markers for breast cancer.
abstract: The purpose of this study is to investigate whether computerized analysis using three-class Bayesian artificial neural network (BANN) feature selection and classification can characterize tumor grades (grade 1, grade 2 and grade 3) of breast lesions for prognostic classification on DCE-MRI. A database of 26 IDC grade 1 lesions, 86 IDC grade 2 lesions and 58 IDC grade 3 lesions was collected. The computer automatically segmented the lesions, and kinetic and morphological lesion features were automatically extracted. The discrimination tasks-grade 1 versus grade 3, grade 2 versus grade 3, and grade 1 versus grade 2 lesions-were investigated. Step-wise feature selection was conducted by three-class BANNs. Classification was performed with three-class BANNs using leave-one-lesion-out cross-validation to yield computer-estimated probabilities of being grade 3 lesion, grade 2 lesion and grade 1 lesion. Two-class ROC analysis was used to evaluate the performances. We achieved AUC values of 0.80 ± 0.05, 0.78 ± 0.05 and 0.62 ± 0.05 for grade 1 versus grade 3, grade 1 versus grade 2, and grade 2 versus grade 3, respectively. This study shows the potential for (1) applying three-class BANN feature selection and classification to CADx and (2) expanding the role of DCE-MRI CADx from diagnostic to prognostic classification in distinguishing tumor grades.
authors.affiliation: Department of Radiology, The University of Chicago, Chicago, IL 60637, USA. bhooshan@uchicago.edu
authors.forename: Neha
authors.initials: N
authors.lastname: Bhooshan
authors.forename: Maryellen
authors.initials: M
authors.lastname: Giger
authors.forename: Darrin
authors.initials: D
authors.lastname: Edwards
authors.forename: Yading
authors.initials: Y
authors.lastname: Yuan
authors.forename: Sanaz
authors.initials: S
authors.lastname: Jansen
authors.forename: Hui
authors.initials: H
authors.lastname: Li
authors.forename: Li
authors.initials: L
authors.lastname: Lan
authors.forename: Husain
authors.initials: H
authors.lastname: Sattar
authors.forename: Gillian
authors.initials: G
authors.lastname: Newstead
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology* / Q000628:therapy; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000145:classification / Q000295:instrumentation / Q000379:methods*; D060787:Neoplasm Grading / Q000295:instrumentation / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D011877:Radionuclide Imaging