| Literature DB >> 34072712 |
Balaji Ganeshan1, Kenneth Miles1, Asim Afaq2,3, Shonit Punwani1, Manuel Rodriguez2, Simon Wan2, Darren Walls1, Luke Hoy1, Saif Khan2, Raymond Endozo2, Robert Shortman2, John Hoath1, Aman Bhargava4, Matthew Hanson5, Daren Francis6, Tan Arulampalam7, Sanjay Dindyal2, Shih-Hsin Chen1,8, Tony Ng9, Ashley Groves1.
Abstract
To assess the capability of fractional water content (FWC) texture analysis (TA) to generate biologically relevant information from routine PET/MRI acquisitions for colorectal cancer (CRC) patients. Thirty consecutive primary CRC patients (mean age 63.9, range 42-83 years) prospectively underwent FDG-PET/MRI. FWC tumor parametric images generated from Dixon MR sequences underwent TA using commercially available research software (TexRAD). Data analysis comprised (1) identification of functional imaging correlates for texture features (TF) with low inter-observer variability (intraclass correlation coefficient: ICC > 0.75), (2) evaluation of prognostic performance for FWC-TF, and (3) correlation of prognostic imaging signatures with gene mutation (GM) profile. Of 32 FWC-TF with ICC > 0.75, 18 correlated with total lesion glycolysis (TLG, highest: rs = -0.547, p = 0.002). Using optimized cut-off values, five MR FWC-TF identified a good prognostic group with zero mortality (lowest: p = 0.017). For the most statistically significant prognostic marker, favorable prognosis was significantly associated with a higher number of GM per patient (medians: 7 vs. 1.5, p = 0.009). FWC-TA derived from routine PET/MRI Dixon acquisitions shows good inter-operator agreement, generates biological relevant information related to TLG, GM count, and provides prognostic information that can unlock new clinical applications for CRC patients.Entities:
Keywords: Dixon sequence; colorectal cancer; magnetic resonance imaging; positron emission tomography; texture analysis
Year: 2021 PMID: 34072712 DOI: 10.3390/cancers13112715
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639