Diagnosis of Breast Lesions on MRI using BI-RADS and Kaiser Score in Mass and Non-Mass Enhancement: Benefit of KS and KS+ for Different Readers
Motivation: Kaiser score (KS) could help diagnose lesions of breast MRI by an intuitive flowchart. Goal(s): To compare the diagnostic performance of BI-RADS and KS and to evaluate the benefit of the modified KS+ by incorporating diffusion. Approach: 630 patients were analyzed independently by three radiologists with different experiences, including 458 mass and 172 non-mass enhancement (NME) lesions. Results: KS outperforms the unstructured BI-RADS, especially for less experienced readers. The diagnosis for NME was more difficult than for masses, true for three readers regardless of the method used. The accuracy of KS+ was improved for masses, but not for NME. Impact: Kaiser Score provides an intuitive method for lesion interpretation, primarily helpful for mass lesions read by less experienced readers. KS+ is mainly applicable to mass lesions. For NME, the KS criteria need to be improved.
Authors
- Jeon‐Hor Chen (ORCID: https://orcid.org/0000-0003-4830-927X)
- Mingming Su (ORCID: https://orcid.org/0000-0002-9996-9094)
- Huiru Liu (ORCID: https://orcid.org/0000-0002-2448-9918)
- Shuxin Ye (ORCID: https://orcid.org/0009-0004-4683-3910)
- Meihao Wang (ORCID: https://orcid.org/0000-0002-7055-993X)
- Zhifang Pan (ORCID: https://orcid.org/0000-0002-3683-6657)
- Yanlin Liu (ORCID: https://orcid.org/0009-0008-1199-6284)
- Yun He (ORCID: https://orcid.org/0000-0003-2141-0028)
- Zhongwei Chen (ORCID: https://orcid.org/0000-0003-3463-5509)
- Yang Zhang (ORCID: https://orcid.org/0000-0002-3436-3278)
- Haiwei Miao
- Jiejie Zhou
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/4614
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00