Open AccessType 2 dynamic curves: A diagnostic dilemma
Author(s) -
Erdal Karavaş,
Bunyamin Ece,
Sonay Aydın
Publication year - 2022
Publication title -
world journal of radiology
Language(s) - Uncategorized
Resource type - Journals
ISSN - 1949-8470
DOI - 10.4329/wjr.v14.i7.229
Subject(s) - medicine , malignancy , dynamic contrast enhanced mri , pathological , magnetic resonance imaging , dynamic contrast , pathology , radiology , dynamic imaging , breast cancer , area under the curve , cancer , artificial intelligence , computer science , digital image processing , image (mathematics) , image processing
Magnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masses, while dynamic curves of type 3 are known to identify malignant masses. Type 2 dynamic curves have a sensitivity of 42.6% and specificity of 75% for malignancy detection.