Reliability and repeatability of texture features extracted from quantitative T1 & T2 of fresh breast tumour specimens at 3T
Motivation: Quantitative T1/T2 is known to alter in the presence of breast tumours, and texture analysis offers a measure to characterise unique tumour morphology. Goal(s): We aimed to determine the reliability and repeatability of texture features extracted from T1/T2 images across acquisitions. Approach: Five repeated acquisitions of T1/T2 were performed on 20 breast tumours to derive texture features of Mean, Standard deviation, Kurtosis, Skewness, and Entropy. Results: There was excellent reliability and repeatability in all T1 texture features, except moderate reliability in Entropy. There was good to excellent reliability and excellent repeatability for most T2 textures, except Kurtosis and Skewness. Impact: The reliability and repeatability of texture features extracted from relaxation property maps serves as a corner stone towards higher order analysis for breast cancer, to support clinical decision with confidence.
Authors
- Nicholas Senn (ORCID: https://orcid.org/0000-0002-3204-3115)
- Sai Hung Cheung (ORCID: https://orcid.org/0000-0003-2324-3884)
- Yazan Masannat (ORCID: https://orcid.org/0000-0002-5895-5059)
- Jiabao He (ORCID: https://orcid.org/0000-0001-7794-7188)
- Ehab Husain
- Kangwa Alex Nkonde
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/10.58530/2024/4596
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00