Standardized structured breast MRI report: a technical note

Currently, the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) 5thEdition lexicon is widely used for the interpretation of breast lesions on magnetic resonance imaging (MRI).It is known worldwide and should be used by all radiologists who specialize in breast imaging.However, it is not always easy to interpret the specific imaging features of the BI-RADS ACR categories.In addition, other systematic methods can improve the diagnostic accuracy of breast MRI, such as the Kaiser score, a widely used clinical decision aid based on the BI-RADS lexicon, which has a high diagnostic accuracy in classifying mass and non-mass breast lesions.The MRI report should be concise, clear and provide important details about the breast lesions.This technical note aims to provide a standardized structured report template using the ACR BI-RADS 5th Edition lexicon and Kaiser score to increase clarity and completeness.

Authors

Publication Details

Journal
Journal of the Mexican Federation of Radiology and Imaging
Published
2025-04-23
DOI
https://doi.org/10.24875/jmexfri.m25000096
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Standardized structured breast MRI report: a technical note

Margarita Garza-Montemayor, Sofia Hurtado-Arellano, Elena M. Sanchez-Siller, Maria Guerra-Ayala et al.
Journal of the Mexican Federation of Radiology and Imaging
Radiomics and Machine Learning in Medical Imaging
article

Standardized structured breast MRI report: a technical note

Margarita Garza-Montemayor, Sofia Hurtado-Arellano, Elena M. Sanchez-Siller, Maria Guerra-Ayala, I. Miranda SanchezCarenzo-Velez, Mané M. Ayala-Duran, Ilany B. Lopez-Valdivia, Yesika J. Davila-Zablah, Jessica A. Perdomo-Galviz, Karla I. Soto-Valdez
article en

Abstract

Currently, the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) 5thEdition lexicon is widely used for the interpretation of breast lesions on magnetic resonance imaging (MRI).It is known worldwide and should be used by all radiologists who specialize in breast imaging.However, it is not always easy to interpret the specific imaging features of the BI-RADS ACR categories.In addition, other systematic methods can improve the diagnostic accuracy of breast MRI, such as the Kaiser score, a widely used clinical decision aid based on the BI-RADS lexicon, which has a high diagnostic accuracy in classifying mass and non-mass breast lesions.The MRI report should be concise, clear and provide important details about the breast lesions.This technical note aims to provide a standardized structured report template using the ACR BI-RADS 5th Edition lexicon and Kaiser score to increase clarity and completeness.

Journal of the Mexican Federation of Radiology and ImagingVol. 4(1)
Gender equality
Openalex Percentile: Top 87%
Radiomics and Machine Learning in Medical Imaging
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