Classification of MRI-only suspicious breast lesions: Development and validation of a nomogram combining MRI features and ADC-based histogram
Motivation: MRI-only lesions tend to be small in size and often have limited specific morphologic features on MRI, posing a significant diagnostic challenge for clinicians. Goal(s): A simple, objective, and noninvasive approach is required to improve the diagnostic accuracy of MRI-only lesions. Approach: We aimed to develop and validate a nomogram combining clinicoradiologic features and ADC-based histogram parameters for MRI-only suspicious lesions. Results: Our results showed that ADC entropy in histogram parameters and kinetic pattern in clinicoradiologic parameters were identified as the most valuable predictors for differentiating MRI-only lesions, and a nomogram combining them exhibited better diagnostic performance than the two variables alone. Impact: A nomogram combining ADC entropy and kinetic pattern, as a simple, objective, and noninvasive tool, displays satisfactory diagnostic performance for MRI-only suspicious lesions and may be utilised to avoid unnecessary biopsy.
Authors
- Lei Jiang (ORCID: https://orcid.org/0000-0001-9588-2015)
- Xue Li (ORCID: https://orcid.org/0000-0003-1759-2316)
- Chunmei Li
- Dandan Zheng (ORCID: https://orcid.org/0000-0002-9373-653X)
- Min Chen
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/10.58530/2024/4313
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00