Literature DB >> 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.

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


  55 in total

1.  Therapeutic Response of Metastatic Colorectal Cancer Harboring a KRAS Missense Mutation After Combination Chemotherapy With the EGFR Inhibitor Panitumumab.

Authors:  Emil Lou; Donna D'Souza; Andrew C Nelson
Journal:  J Natl Compr Canc Netw       Date:  2017-04       Impact factor: 11.908

2.  Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapy.

Authors:  Haowei Zhang; Caleb M Graham; Okan Elci; Michael E Griswold; Xu Zhang; Majid A Khan; Karen Pitman; Jimmy J Caudell; Robert D Hamilton; Balaji Ganeshan; Andrew Dennis Smith
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

3.  Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non-small cell lung cancer.

Authors:  Thida Win; Kenneth A Miles; Sam M Janes; Balaji Ganeshan; Manu Shastry; Raymondo Endozo; Marie Meagher; Robert I Shortman; Simon Wan; Irfan Kayani; Peter J Ell; Ashley M Groves
Journal:  Clin Cancer Res       Date:  2013-05-09       Impact factor: 12.531

4.  CT texture analysis can be a potential tool to differentiate gastrointestinal stromal tumors without KIT exon 11 mutation.

Authors:  Fei Xu; Xiaohong Ma; Yichen Wang; Yuan Tian; Wei Tang; Meng Wang; Ren Wei; Xinming Zhao
Journal:  Eur J Radiol       Date:  2018-07-29       Impact factor: 3.528

5.  Neoadjuvant immune-checkpoint blockade in resectable colon cancer.

Authors:  George Coukos
Journal:  Nat Med       Date:  2020-04       Impact factor: 53.440

6.  Metastatic melanoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with pembrolizumab.

Authors:  Carole Durot; Sébastien Mulé; Philippe Soyer; Aude Marchal; Florent Grange; Christine Hoeffel
Journal:  Eur Radiol       Date:  2019-01-15       Impact factor: 5.315

7.  Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage.

Authors:  Balaji Ganeshan; Sandra Abaleke; Rupert C D Young; Christopher R Chatwin; Kenneth A Miles
Journal:  Cancer Imaging       Date:  2010-07-06       Impact factor: 3.909

8.  Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness.

Authors:  Michiru Nishita; Seung-Yeol Park; Tadashi Nishio; Koki Kamizaki; ZhiChao Wang; Kota Tamada; Toru Takumi; Ryuju Hashimoto; Hiroki Otani; Gregory J Pazour; Victor W Hsu; Yasuhiro Minami
Journal:  Sci Rep       Date:  2017-01-26       Impact factor: 4.379

9.  Associations between Tumor Vascularity, Vascular Endothelial Growth Factor Expression and PET/MRI Radiomic Signatures in Primary Clear-Cell-Renal-Cell-Carcinoma: Proof-of-Concept Study.

Authors:  Qingbo Yin; Sheng-Che Hung; Li Wang; Weili Lin; Julia R Fielding; W Kimryn Rathmell; Amir H Khandani; Michael E Woods; Matthew I Milowsky; Samira A Brooks; Eric M Wallen; Dinggang Shen
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

Review 10.  CT texture analysis using the filtration-histogram method: what do the measurements mean?

Authors:  Kenneth A Miles; Balaji Ganeshan; Michael P Hayball
Journal:  Cancer Imaging       Date:  2013-09-23       Impact factor: 3.909

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