» Articles » PMID: 34072712

Texture Analysis of Fractional Water Content Images Acquired During PET/MRI: Initial Evidence for an Association with Total Lesion Glycolysis, Survival and Gene Mutation Profile in Primary Colorectal Cancer

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: r = -0.547, = 0.002). Using optimized cut-off values, five MR FWC-TF identified a good prognostic group with zero mortality (lowest: = 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, = 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.

Citing Articles

Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis.

Fiscone C, Rundo L, Lugaresi A, Manners D, Allinson K, Baldin E Sci Rep. 2023; 13(1):16239.

PMID: 37758804 PMC: 10533494. DOI: 10.1038/s41598-023-42914-4.

References
1.
Xu F, Ma X, Wang Y, Tian Y, Tang W, Wang M . CT texture analysis can be a potential tool to differentiate gastrointestinal stromal tumors without KIT exon 11 mutation. Eur J Radiol. 2018; 107:90-97. DOI: 10.1016/j.ejrad.2018.07.025. View

2.
Win T, Miles K, Janes S, Ganeshan B, Shastry M, Endozo R . Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non-small cell lung cancer. Clin Cancer Res. 2013; 19(13):3591-9. DOI: 10.1158/1078-0432.CCR-12-1307. View

3.
Durot C, Mule S, Soyer P, Marchal A, Grange F, Hoeffel C . Metastatic melanoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with pembrolizumab. Eur Radiol. 2019; 29(6):3183-3191. DOI: 10.1007/s00330-018-5933-x. View

4.
Ganeshan B, Abaleke S, Young R, Chatwin C, Miles K . Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage. Cancer Imaging. 2010; 10:137-43. PMC: 2904029. DOI: 10.1102/1470-7330.2010.0021. View

5.
Lou E, DSouza D, Nelson A . Therapeutic Response of Metastatic Colorectal Cancer Harboring a Missense Mutation After Combination Chemotherapy With the EGFR Inhibitor Panitumumab. J Natl Compr Canc Netw. 2017; 15(4):427-432. PMC: 6295659. DOI: 10.6004/jnccn.2017.0043. View