[HTML][HTML] A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging

Y Zhong, M Li, J Zhu, B Zhang, M Liu… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Background The breast imaging reporting and data system (BI-RADS) lexicon provides a
standardized terminology for describing leision characteristics but does not provide defined …

Effectiveness of additional diagnostic parameters in magnetic resonance mammography: a comparative study with the BI-RADS classification and scoring system

O Sarica, G Kaymaz, N Ucar - Journal of Computer Assisted …, 2014 - journals.lww.com
Objective This study aims to evaluate the strength of magnetic resonance (MR) lesion
descriptors for malignancy and to determine the effectiveness of a scoring system that …

A multiparametric classification system for lesions detected by breast magnetic resonance imaging

A Istomin, A Masarwah, H Okuma, A Sutela… - European Journal of …, 2020 - Elsevier
Background To validate a new categorisation scheme for suspicious breast lesions
according to the well-defined Breast Imaging Reporting and Data System (BI-RADS) …

Grading system to categorize breast MRI in BI-RADS 5th edition: a multivariate study of breast mass descriptors in terms of probability of malignancy

K Fujiwara, T Yamada, Y Kanemaki… - American Journal of …, 2018 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study is to analyze the association between the probability
of malignancy and breast mass descriptors in the BI-RADS 5th edition and to devise criteria …

[HTML][HTML] Value of breast MRI omics features and clinical characteristics in Breast Imaging Reporting and Data System (BI-RADS) category 4 breast lesions: an analysis …

Q Cui, L Sun, Y Zhang, Z Zhao, S Li, Y Liu… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background The Breast Imaging Reporting and Data System (BI-RADS) category 4 breast
lesions is categorized into 4A, 4B, and 4C, which reflect an increasing malignancy potential …

Subcategory classifications of Breast Imaging and Data System (BI-RADS) category 4 lesions on MRI

M Honda, M Kataoka, K Kawaguchi, M Iima… - Japanese Journal of …, 2021 - Springer
Abstract Purpose Category 4 in BI-RADS for magnetic resonance imaging (MRI) has a wide
range of probabilities of malignancy, extending from> 2 to< 95%. We classified category 4 …

Diagnostic value of a breast MRI score for the prediction of malignancy of breast lesions detected solely with MRI

KC Siegmann, HU Moron, A Baur, M Hahn… - RoFo: Fortschritte auf …, 2009 - europepmc.org
Purpose To determine whether lesion scoring allows valid BI-RADS ((R)) classification and
prediction of malignancy of breast lesions detectable solely with MRI. Materials and methods …

Characteristics, malignancy rate, and follow-up of BI-RADS category 3 lesions identified at breast MR imaging: implications for MR image interpretation and …

SA Chikarmane, RL Birdwell, PS Poole, DA Sippo… - Radiology, 2016 - pubs.rsna.org
Purpose To (a) evaluate the frequency of Breast Imaging Reporting and Data System (BI-
RADS) category 3 assessment in screening and diagnostic breast magnetic resonance (MR) …

[HTML][HTML] Enhancing the Kaiser score for lesion characterization in unenhanced breast MRI

N Pötsch, P Clauser, P Kapetas, MB Ulusan… - European Journal of …, 2024 - Elsevier
Purpose To adapt the methodology of the Kaiser score, a clinical decision rule for lesion
characterization in breast MRI, for unenhanced protocols. Method In this retrospective IRB …

Positive predictive value of BI-RADS MR imaging

MC Mahoney, C Gatsonis, L Hanna, WB DeMartini… - Radiology, 2012 - pubs.rsna.org
Purpose To evaluate the positive predictive values (PPVs) of Breast Imaging and Reporting
Data Systems (BI-RADS) assessment categories for breast magnetic resonance (MR) …