Evidence-Based and Structured Diagnosis in Breast MRI using the Kaiser Score.

Autor:	Baltzer PAT; Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Medical University of Vienna, Wien, Austria., Krug KB; Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Köln, Germany., Dietzel M; Department of Radiology, University Hospital Erlangen, Germany.
Jazyk:	English; German
Zdroj:	RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin [Rofo] 2022 Nov; Vol. 194 (11), pp. 1216-1228. Date of Electronic Publication: 2022 May 25.
DOI:	10.1055/a-1829-5985
Abstrakt:	Background: Breast MRI is the most sensitive method for the detection of breast cancer and is an integral part of modern breast imaging. On the other hand, interpretation of breast MRI exams is considered challenging due to the complexity of the available information. Clinical decision rules that combine diagnostic criteria in an algorithm can help the radiologist to read breast MRI by supporting objective and largely experience-independent diagnosis. Method: Narrative review. In this article, the Kaiser Score (KS) as a clinical decision rule for breast MRI is introduced, its diagnostic criteria are defined, and strategies for clinical decision making using the KS are explained and discussed. Results: The KS is based on machine learning and has been independently validated by international research. It is largely independent of the examination technique that is used. It allows objective differentiation between benign and malignant contrast-enhancing breast MRI findings using diagnostic BI-RADS criteria taken from T2w and dynamic contrast-enhanced T1w images. A flowchart guides the reader in up to three steps to determine a score corresponding to the probability of malignancy that can be used to assign a BI-RADS category. Individual decision making takes the clinical context into account and is illustrated by typical scenarios. Key Points: · The KS as an evidence-based decision rule to objectively distinguish benign from malignant breast lesions is based on information contained in T2w und dynamic contrast-enhanced T1w sequences and is largely independent of specific examination protocols.. · The KS diagnostic criteria are in line with the MRI BI-RADS lexicon. We focused on defining a default category to be applied in the case of equivocal imaging criteria.. · The KS reflects increasing probabilities of malignancy and, together with the clinical context, assists individual decision making.. Citation Format: · Baltzer PA, Krug KB, Dietzel M. Evidence-Based and Structured Diagnosis in Breast MRI using the Kaiser Score. Fortschr Röntgenstr 2022; 194: 1216 - 1228. Competing Interests: The authors declare that personal connections exist for Matthias Dietzel and Pascal Baltzer: both are managing directors of a GbR (radiologie-weiterbildung.de). (Thieme. All rights reserved.)
Databáze:	MEDLINE
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