Using texture analysis in the development of a potential radiomic signature for early identification of hepatic metastasis in colorectal cancer

Laurence Devoto; Balaji Ganeshan; Deborah Keller; Ashley Groves; Raymond Endozo; Tan Arulampalam; Manish Chand

doi:10.1016/j.ejro.2022.100415

Using texture analysis in the development of a potential radiomic signature for early identification of hepatic metastasis in colorectal cancer

Eur J Radiol Open. 2022 Mar 21:9:100415. doi: 10.1016/j.ejro.2022.100415. eCollection 2022.

Authors

Laurence Devoto¹, Balaji Ganeshan², Deborah Keller¹, Ashley Groves², Raymond Endozo², Tan Arulampalam³, Manish Chand¹

Affiliations

¹ Wellcome / EPSRC Centre, for Interventional and Surgical Sciences, University College London, 1st Floor, Charles Bell House, 43-45 Foley Street, London W1W 7TS, United Kingdom.
² Institute of Nuclear Medicine, 5th floor, Tower, University College London Hospital, 235 Euston Road, London NW1 2BU, United Kingdom.
³ ICENI Centre, Colchester Hospital, Turner Rd, Mile End, Colchester CO4 5JL, United Kingdom.

Abstract

Background: Radiomics allows information not readily available to the naked eye to be extracted from high resolution imaging modalities such as CT. Identifying that a cancer has already metastasised at the time of presentation through a radiomic signature will affect the treatment pathway. The ability to recognise the existence of metastases earlier will have a significant impact on the survival outcomes.

Aim: To create a novel radiomic signature using textural analysis in the evaluation of synchronous liver metastases in colorectal cancer.

Methods: CT images at baseline and subsequent surveillance over a 5-year period of patients with colorectal cancer were processed using textural analysis software. Comparison was made between those patients who developed liver metastases and those that remained disease free to detect differences in the 'texture' of the liver.

Results: A total of 24 patients were divided into two matched groups for comparison. Significant differences between the two groups scores when using the textural analysis programme were found on coarse filtration (p = 0.044). Patients that went on to develop metastases an average of 18 months after presentation had higher levels of hepatic heterogeneity on CT.

Conclusion: This initial study demonstrates the potential of using a textural analysis programme to build a radiomic signature to predict the development of hepatic metastases in rectal cancer patients otherwise thought to have clear staging CT scans at time of presentation.

Keywords: Cancer; Imaging; Metastases; Radiology; Surgical management.