Literature DB >> 22265426

Quantifying heterogeneity in human tumours using MRI and PET.

Marie-Claude Asselin1, James P B O'Connor, Ronald Boellaard, Neil A Thacker, Alan Jackson.   

Abstract

Most tumours, even those of the same histological type and grade, demonstrate considerable biological heterogeneity. Variations in genomic subtype, growth factor expression and local microenvironmental factors can result in regional variations within individual tumours. For example, localised variations in tumour cell proliferation, cell death, metabolic activity and vascular structure will be accompanied by variations in oxygenation status, pH and drug delivery that may directly affect therapeutic response. Documenting and quantifying regional heterogeneity within the tumour requires histological or imaging techniques. There is increasing evidence that quantitative imaging biomarkers can be used in vivo to provide important, reproducible and repeatable estimates of tumoural heterogeneity. In this article we review the imaging methods available to provide appropriate biomarkers of tumour structure and function. We also discuss the significant technical issues involved in the quantitative estimation of heterogeneity and the range of descriptive metrics that can be derived. Finally, we have reviewed the existing clinical evidence that heterogeneity metrics provide additional useful information in drug discovery and development and in clinical practice. Copyright Â
© 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22265426     DOI: 10.1016/j.ejca.2011.12.025

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  72 in total

1.  A Pilot Study of Texture Analysis of Primary Tumor [18F]FDG Uptake to Predict Recurrence in Surgically Treated Patients with Non-small Cell Lung Cancer.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Tetsuya Shinaji; Masaya Aoki; Atsushi Tani; Yoshiaki Nakabeppu; Masayuki Nakajo; Masami Sato; Takashi Yoshiura
Journal:  Mol Imaging Biol       Date:  2019-08       Impact factor: 3.488

2.  Heterogeneity index evaluated by slope of linear regression on 18F-FDG PET/CT as a prognostic marker for predicting tumor recurrence in pancreatic ductal adenocarcinoma.

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-20       Impact factor: 9.236

3.  [18]Fluorodeoxyglucose Positron Emission Tomography for the Textural Features of Cervical Cancer Associated with Lymph Node Metastasis and Histological Type.

Authors:  Wei-Chih Shen; Shang-Wen Chen; Ji-An Liang; Te-Chun Hsieh; Kuo-Yang Yen; Chia-Hung Kao
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-04-14       Impact factor: 9.236

4.  Reply to: Area under the cumulative SUV-volume histogram is not a viable metric of intratumoral metabolic heterogeneity.

Authors:  Floris H P van Velden; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-06-11       Impact factor: 9.236

5.  Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer.

Authors:  Daniel I Golden; Jafi A Lipson; Melinda L Telli; James M Ford; Daniel L Rubin
Journal:  J Am Med Inform Assoc       Date:  2013-06-19       Impact factor: 4.497

6.  18F-FDG Uptake During Early Adjuvant Chemotherapy Predicts Histologic Response in Pediatric and Young Adult Patients with Osteosarcoma.

Authors:  James C Davis; Najat C Daw; Fariba Navid; Catherine A Billups; Jianrong Wu; Armita Bahrami; Jesse J Jenkins; Scott E Snyder; Wilburn E Reddick; Victor M Santana; M Beth McCarville; Junyu Guo; Barry L Shulkin
Journal:  J Nucl Med       Date:  2017-06-13       Impact factor: 10.057

7.  Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Tetsuya Shinaji; Masayuki Nakajo; Masaya Aoki; Atsushi Tani; Masami Sato; Takashi Yoshiura
Journal:  Br J Radiol       Date:  2018-01-19       Impact factor: 3.039

8.  Therapeutic efficacy and fate of bimodal engineered stem cells in malignant brain tumors.

Authors:  Jordi Martinez-Quintanilla; Deepak Bhere; Pedram Heidari; Derek He; Umar Mahmood; Khalid Shah
Journal:  Stem Cells       Date:  2013-08       Impact factor: 6.277

9.  Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results.

Authors:  Mu Zhou; Lawrence Hall; Dmitry Goldgof; Robin Russo; Yoganand Balagurunathan; Robert Gillies; Robert Gatenby
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

10.  The use of texture-based radiomics CT analysis to predict outcomes in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.

Authors:  Pierre Starkov; Todd A Aguilera; Daniel I Golden; David B Shultz; Nicholas Trakul; Peter G Maxim; Quynh-Thu Le; Billy W Loo; Maximillan Diehn; Adrien Depeursinge; Daniel L Rubin
Journal:  Br J Radiol       Date:  2018-11-20       Impact factor: 3.039

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