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 Ganeshan; Kenneth Miles; Asim Afaq; Shonit Punwani; Manuel Rodriguez; Simon Wan; Darren Walls; Luke Hoy; Saif Khan; Raymond Endozo; Robert Shortman; John Hoath; Aman Bhargava; Matthew Hanson; Daren Francis; Tan Arulampalam; Sanjay Dindyal; Shih Hsin Chen; Tony Ng; Ashley Groves

doi:10.3390/cancers13112715

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 Ganeshan^*, Kenneth Miles, Asim Afaq, Shonit Punwani, Manuel Rodriguez, Simon Wan, Darren Walls, Luke Hoy, Saif Khan, Raymond Endozo, Robert Shortman, John Hoath, Aman Bhargava, Matthew Hanson, Daren Francis, Tan Arulampalam, Sanjay Dindyal, Shih Hsin Chen, Tony Ng, Ashley Groves

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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_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.

Original language	English
Article number	2715
Journal	Cancers
Volume	13
Issue number	11
DOIs	https://doi.org/10.3390/cancers13112715
Publication status	Published - 1 Jun 2021

Keywords

Colorectal cancer
Dixon sequence
Magnetic resonance imaging
Positron emission tomography
Texture analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Ganeshan, B., Miles, K., Afaq, A., Punwani, S., Rodriguez, M., Wan, S., Walls, D., Hoy, L., Khan, S., Endozo, R., Shortman, R., Hoath, J., Bhargava, A., Hanson, M., Francis, D., Arulampalam, T., Dindyal, S., Chen, S. H., Ng, T., & Groves, A. (2021). 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, 13(11), Article 2715. https://doi.org/10.3390/cancers13112715

@article{c9c74fc1321d4897a481f1abb54cb072,

title = "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: 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.",

keywords = "Colorectal cancer, Dixon sequence, Magnetic resonance imaging, Positron emission tomography, Texture analysis",

author = "Balaji Ganeshan and Kenneth Miles and Asim Afaq and Shonit Punwani and Manuel Rodriguez and Simon Wan and Darren Walls and Luke Hoy and Saif Khan and Raymond Endozo and Robert Shortman and John Hoath and Aman Bhargava and Matthew Hanson and Daren Francis and Tan Arulampalam and Sanjay Dindyal and Chen, {Shih Hsin} and Tony Ng and Ashley Groves",

note = "Funding Information: Funding: This research/study/project was funded by and supported by the UK National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC). Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

year = "2021",

month = jun,

day = "1",

doi = "10.3390/cancers13112715",

language = "English",

volume = "13",

journal = "Cancers",

issn = "2072-6694",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "11",

}

Ganeshan, B, Miles, K, Afaq, A, Punwani, S, Rodriguez, M, Wan, S, Walls, D, Hoy, L, Khan, S, Endozo, R, Shortman, R, Hoath, J, Bhargava, A, Hanson, M, Francis, D, Arulampalam, T, Dindyal, S, Chen, SH, Ng, T & Groves, A 2021, '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, vol. 13, no. 11, 2715. https://doi.org/10.3390/cancers13112715

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. / Ganeshan, Balaji; Miles, Kenneth; Afaq, Asim et al.
In: Cancers, Vol. 13, No. 11, 2715, 01.06.2021.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Texture analysis of fractional water content images acquired during pet/mri

T2 - Initial evidence for an association with total lesion glycolysis, survival and gene mutation profile in primary colorectal cancer

AU - Ganeshan, Balaji

AU - Miles, Kenneth

AU - Afaq, Asim

AU - Punwani, Shonit

AU - Rodriguez, Manuel

AU - Wan, Simon

AU - Walls, Darren

AU - Hoy, Luke

AU - Khan, Saif

AU - Endozo, Raymond

AU - Shortman, Robert

AU - Hoath, John

AU - Bhargava, Aman

AU - Hanson, Matthew

AU - Francis, Daren

AU - Arulampalam, Tan

AU - Dindyal, Sanjay

AU - Chen, Shih Hsin

AU - Ng, Tony

AU - Groves, Ashley

N1 - Funding Information: Funding: This research/study/project was funded by and supported by the UK National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/6/1

Y1 - 2021/6/1

N2 - 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.

AB - 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.

KW - Colorectal cancer

KW - Dixon sequence

KW - Magnetic resonance imaging

KW - Positron emission tomography

KW - Texture analysis

UR - http://www.scopus.com/inward/record.url?scp=85106943730&partnerID=8YFLogxK

U2 - 10.3390/cancers13112715

DO - 10.3390/cancers13112715

M3 - Article

AN - SCOPUS:85106943730

SN - 2072-6694

VL - 13

JO - Cancers

JF - Cancers

IS - 11

M1 - 2715

ER -

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

Keywords

UN SDGs

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