2021
DOI: 10.1016/j.ejrad.2021.109659
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Diagnostic performance of the Kaiser score for characterizing lesions on breast MRI with comparison to a multiparametric classification system

Abstract: To determine the diagnostic performance of the Kaiser score and to compare it with the BI-RADS-based multiparametric classification system (MCS). Method: Two breast radiologists, blinded to the clinical and pathological information, separately evaluated a database of 499 consecutive patients with structural 3.0 T breast MRI and 697 histopathologically verified lesions. The Kaiser scores and corresponding MCS categories were recorded. The sensitivity and specificity of the Kaiser score and the MCS categories to… Show more

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Cited by 21 publications
(22 citation statements)
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References 23 publications
(44 reference statements)
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“…The data were analyzed using SPSS 26.0 (IBM) and MedCalc 19.8 (MedCalc Software). The intraclass correlation coefficient (ICC) ( 26 , 27 ) was used to analyze interobserver consistency. In this study, the quantitative data that did not conform to normal distribution were expressed in median and interquartile range (IQR) and were compared by using the Mann–Whitney U test.…”
Section: Methodsmentioning
confidence: 99%
“…The data were analyzed using SPSS 26.0 (IBM) and MedCalc 19.8 (MedCalc Software). The intraclass correlation coefficient (ICC) ( 26 , 27 ) was used to analyze interobserver consistency. In this study, the quantitative data that did not conform to normal distribution were expressed in median and interquartile range (IQR) and were compared by using the Mann–Whitney U test.…”
Section: Methodsmentioning
confidence: 99%
“…Until such data are available, it may be safe to assume that the potential cost reduction by shortening the image data acquisition part of the breast MRI examination may be at least partly counteracted by an increased need for additional imaging such as second-look ultrasound or image-guided biopsies. At a high level of evidence, this is supported by publications demonstrating that the combination of multiple imaging parameters derived from full dynamic protocols provides independent and incremental diagnostic information for improved lesion classification [29][30][31][32][33][34][35].…”
Section: Discussionmentioning
confidence: 93%
“…This classification tree includes five major diagnostic criteria: root sign, dynamic enhancement curve type, margins, internal enhancement pattern, and edema. Since its introduction in 2013, the Kaiser score has been reported to have high diagnostic accuracy for the differential diagnosis of benign and malignant lesions in a variety of selected patient populations (36)(37)(38)(39)(40). However, the Kaiser score does not include quantitative MRI techniques, such as DWI or quantitative DCE, and it is not associated with the BI-RADS lexicon.…”
Section: Discussionmentioning
confidence: 99%