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Abstract #0265

Radiomic features of cervical tumors: identifying volume thresholds for transition to a poor prognosis phenotype

Benjamin W Wormald1,2, Thomas EJ Ind2,3, and Nandita M deSouza1,4
1Imaging, The Institute of Cancer Research, Sutton, Surrey, United Kingdom, 2Gynaecological Oncology, The Royal Marsden NHS FoundationTrust, London, United Kingdom, 3Surgery, St. Georges University Hospital, London, United Kingdom, 4MRI Unit, The Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom

Cervical cancer recurs post-trachelectomy often because of close surgical margins or lymph-node micrometastases. We show that 5 texture features distinguish good- from poor-prognosis tumors (low/high volume, without/with parametrial invasion, without/with lymph node metastases). For tumors suitable for trachelectomy (<4.19cm3), linear regression of feature value with volume (using 3 features with high discrimination of groups and 1 standard deviation from median from good prognosis group as threshold) indicated that radiomic features tended towards values representing poor prognosis at 1.8±0.2cm3 (T2-W images) and 1.8±0.06cm3 (ADC maps). Above 1.8cm3 textural features of cervical cancer shift towards a phenotype likely to spread and metastasize.

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