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

Cancers

卷:13

Daren Francis¹  Tan Arulampalam²  Matthew Hanson³  Simon Wan⁴  Asim Afaq⁴  Manuel Rodriguez⁴  Sanjay Dindyal⁴  Robert Shortman⁴  Raymond Endozo⁴  Saif Khan⁴  Aman Bhargava⁵  Balaji Ganeshan⁶  John Hoath⁶  Darren Walls⁶  Luke Hoy⁶  Shonit Punwani⁶  Kenneth Miles⁶  Shih-Hsin Chen⁶  Ashley Groves⁶  Tony Ng⁷ 

[1] Department of Colorectal Surgery, Royal Free London NHS Foundation Trust, Barnet and Chase Farm Hospitals, London NW3 2QG, UK;

[2] Department of Surgery, East Suffolk and North Essex NHS Foundation Trust, Colchester General Hospital, Colchester CO4 5JL, UK;

[3] Division of Cancer and Clinical Support, Barking, Havering and Redbridge University Hospitals NHS Trust, Queens and King George Hospitals, Essex IG3 8YB, UK;

[4] Imaging Division, Surgery and Cancer Board, University College London Hospitals (UCLH) NHS Foundation Trust, University College Hospital (UCH), London NW1 2BU, UK;

[5] Institute of Health Barts and London Medical School, Queen Mary University of London (QMUL), London E1 2AD, UK;

[6] Research Department of Imaging, Division of Medicine, University College London (UCL), London WC1E 6BT, UK;

[7] School of Cancer & Pharmaceutical Sciences, King’s College London (KCL), London WC2R 2LS, UK;

关键词: colorectal cancer;    magnetic resonance imaging;    Dixon sequence;    positron emission tomography;    texture analysis;   

DOI  :  10.3390/cancers13112715

来源: DOAJ

【 摘 要 】

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_s = −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.

【 授权许可】

Unknown