Abstract #1166

Multi-parametric MRI for Response Assessment in Soft-Tissue Sarcoma; Post-Treatment EF and ADC Correlate with Viable Tumour Percentage

Imogen Thrussell^1,2, Jessica M Winfield^1,2, Khin Thway^3,4, Sadiq Usman², Jennifer Newman², Georgina Hopkinson², Amy Ho Ching Wong⁵, Andrew Hayes⁶, Shane Zaidi^1,4, Aisha Miah^1,4, Christina Messiou^1,2, and Matthew David Blackledge^1,2

¹Department of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, ²MRI Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, ³Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom, ⁴Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, ⁵Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, Hong Kong, ⁶Department of Surgery, The Royal Marsden NHS Foundation Trust, London, United Kingdom

Synopsis

Keywords: Treatment Response, Cancer, Multi-parametric, Response, Quantitative

Motivation: New biomarkers are needed for response assessment of soft-tissue sarcoma (STS) that reflect underlying biology.

Goal(s): To (i) describe changes in six quantitative MRI biomarkers following radiotherapy treatment, (ii) assess correlation between changes in these markers, and (iii) evaluate correlation of post-treatment values with viable tumour percentage (VTP) after resection.

Approach: We evaluate the Pearson correlation between changes in all six biomarkers in a cohort of 23 patients treated with pre-operative radiotherapy for limb sarcoma.

Results: Large correlations are observed in changes of T2, ADC, fractional-anisotropy, fat-fraction and magnetization-transfer-ratio. Post-treatment values of tumour enhancement and ADC reflect VTP.

Impact: Multiparametric quantitative MR protocols capture heterogeneous changes in soft-tissue sarcomas following treatment. Changes in derived quantitative biomarkers following treatment are correlated, and post-treatment values may reflect viable tumour percentage determined through histopathology.

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