HOW to USE the KAISER SCORE AS A CLINICAL DECISION RULE for DIAGNOSIS in MULTIPARAMETRIC BREAST MRI [КАК ИСПОЛЬЗОВАТЬ ШКАЛУ КАЙЗЕРА ДЛЯ ПРИНЯТИЯ ДИАГНОСТИЧЕСКИХ РЕШЕНИЙ ПРИ МУЛЬТИПАРАМЕТРИЧЕСКОЙ МРТ МОЛОЧНОЙ ЖЕЛЕЗЫ]

Purpose. Development of a universal system for evaluating MRI images of the breast. Material and methods. Due to its superior sensitivity, breast MRI (bMRI) has been established as an important additional diagnostic tool in the breast clinic and is used for screening in patients with an elevated risk for breast cancer. Results. Breast MRI, however, is a complex tool, providing multiple images containing several contrasts. Thus, reading bMRI requires a structured approach. A lack of structure will increase the rate of false-positive findings and sacrifice most of the advantages of bMRI as additional work-up will be required. While the BI-RADS (Breast Imaging Reporting And Data System) lexicon is a major step toward standardised and structured reporting, it does not provide a clinical decision rule with which to guide diagnostic decisions. Such a clinical decision rule, however, is provided by the Kaiser score, which combines five independent diagnostic BI-RADS lexicon criteria (margins, SI-time curve type, internal enhancement and presence of oedema) in an intuitive flowchart. Conclusion. The resulting score provides probabilities of malignancy that can be used for evidence-based decision-making in the breast clinic. Notably, considerable benefits have been demonstrated for radiologists with initial and intermediate experience in bMRI. This pictorial essay is a practical guide to the application of the Kaiser score in the interpretation of breast MRI examinations. Teaching Points. 1)bMRI requires standardisation of patient-management, protocols, and reading set-up. 2) Reading bMRI includes the assessment of breast parenchyma, associated findings, and lesions. 3) Diagnostic decisions should be made according to evidence-based clinical decision rules. 4) The evidence-based Kaiser score is applicable independent of bMRI protocol and scanner. 5) The Kaiser score provides high diagnostic accuracy with low inter-observer variability. © 2020 Russian Electronic Journal of Radiology. All rights reserved.

Authors
Dietzel M.1 , Mazo M.L. 2, 3 , Rozhkova N.V. 2, 3 , Kharuzhyk S.A.4 , Kuplevatskaya D.I.5 , Busko E.A.6, 7 , Hodikan G.K.8 , Baltzer P.A.T.9
Publisher
Russian Electronic Journal of Radiology
Number of issue
3
Language
Russian
Pages
58-76
Status
Published
Volume
10
Year
2020
Organizations
  • 1 University Hospital Erlangen-Nürnberg, Erlangen, Germany
  • 2 National Center of Oncology of Reproductive Organs., P.A. Herzen Federal Medical Research Center, branch of the of FSBI NMRRC, Ministry of Health, Russian Federation
  • 3 Peoples' Friendship University of Russia., Moscow, Russian Federation
  • 4 N.N. Alexandrov Republican Scientific-and-Practical Center of Oncology and Medical Radiology, poselok Lesnoy, Belarus
  • 5 Medical Institute named after Berezin Sergey (MIBS), Saint-Petersburg, Russian Federation
  • 6 N.N. Petrov, National Medical Research Center of oncology, Saint-Petersburg, Russian Federation
  • 7 Pavlov First Saint Petersburg State Medical University, Saint Petersburg, Russian Federation
  • 8 RANEPA, Russian Presidential Academy of National Economy and public Administration, Moscow, Russian Federation
  • 9 Medical University of Vienna, Vienna, Austria
Keywords
Breast cancer; BreastMRI; Patientmanagement; сlinical decision-making
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