Abstract #4596

Reliability and repeatability of texture features extracted from quantitative T1 & T2 of fresh breast tumour specimens at 3T

Kangwa Alex Nkonde^1,2, Sai Man Cheung², Nicholas Senn², Ehab Husain³, Yazan Masannat⁴, and Jiabao He^1,2

¹Newcastle Magnetic Resonance Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom, ²Institute of Medical Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom, ³Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, ⁴Breast Unit, Broomfield Hospital, Chelmsford, United Kingdom

Synopsis

Keywords: Breast, Breast

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.

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