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.
Balaji GaneshanKenneth MilesAsim AfaqShonit PunwaniManuel RodriguezSimon WanDarren WallsLuke HoySaif KhanRaymond EndozoRobert ShortmanJohn HoathAman BhargavaMatthew HansonDaren FrancisTan ArulampalamSanjay DindyalShih-Hsin ChenTony NgAshley GrovesPublished in: Cancers (2021)
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.
Keyphrases
- contrast enhanced
- end stage renal disease
- magnetic resonance imaging
- ejection fraction
- data analysis
- pet ct
- newly diagnosed
- computed tomography
- chronic kidney disease
- high resolution
- deep learning
- gene expression
- pet imaging
- healthcare
- cardiovascular disease
- machine learning
- coronary artery disease
- peripheral blood
- mass spectrometry
- optical coherence tomography
- clinical practice
- free survival