Literature DB >> 23632962

On some misconceptions about tumor heterogeneity quantification.

Frank J Brooks.   

Abstract

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Year:  2013        PMID： 23632962     DOI： 10.1007/s00259-013-2430-y

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN： 1619-7070            Impact factor:   9.236


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  8 in total

Review 1.  A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology.

Authors:  Kjell Erlandsson; Irène Buvat; P Hendrik Pretorius; Benjamin A Thomas; Brian F Hutton
Journal:  Phys Med Biol       Date:  2012-10-16       Impact factor: 3.609

Review 2.  Quantifying heterogeneity in human tumours using MRI and PET.

Authors:  Marie-Claude Asselin; James P B O'Connor; Ronald Boellaard; Neil A Thacker; Alan Jackson
Journal:  Eur J Cancer       Date:  2012-01-20       Impact factor: 9.162

Review 3.  Tumor heterogeneity.

Authors:  G H Heppner
Journal:  Cancer Res       Date:  1984-06       Impact factor: 12.701

Review 4.  The promise and pitfalls of positron emission tomography and single-photon emission computed tomography molecular imaging-guided radiation therapy.

Authors:  Richard L Wahl; Joseph M Herman; Eric Ford
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

5.  Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer.

Authors:  Florent Tixier; Catherine Cheze Le Rest; Mathieu Hatt; Nidal Albarghach; Olivier Pradier; Jean-Philippe Metges; Laurent Corcos; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2011-02-14       Impact factor: 10.057

6.  Exploring feature-based approaches in PET images for predicting cancer treatment outcomes.

Authors:  I El Naqa; P Grigsby; A Apte; E Kidd; E Donnelly; D Khullar; S Chaudhari; D Yang; M Schmitt; Richard Laforest; W Thorstad; J O Deasy
Journal:  Pattern Recognit       Date:  2009-06-01       Impact factor: 7.740

Review 7.  Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis.

Authors:  Sugama Chicklore; Vicky Goh; Musib Siddique; Arunabha Roy; Paul K Marsden; Gary J R Cook
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10-13       Impact factor: 9.236

8.  Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer.

Authors:  Fei Yang; Maria A Thomas; Farrokh Dehdashti; Perry W Grigsby
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-01-23       Impact factor: 9.236
  8 in total
  16 in total

Review 1.  Task-based measures of image quality and their relation to radiation dose and patient risk.

Authors:  Harrison H Barrett; Kyle J Myers; Christoph Hoeschen; Matthew A Kupinski; Mark P Little
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

Review 2.  Functional imaging of hepatocellular carcinoma.

Authors:  Tim Ch Hoogenboom; Mark Thursz; Eric O Aboagye; Rohini Sharma
Journal:  Hepat Oncol       Date:  2016-03-29

3.  Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.

Authors:  Lijun Lu; Wenbing Lv; Jun Jiang; Jianhua Ma; Qianjin Feng; Arman Rahmim; Wufan Chen
Journal:  Mol Imaging Biol       Date:  2016-12       Impact factor: 3.488

4.  Correlation of pretreatment 18F-FDG PET tumor textural features with gene expression in pharyngeal cancer and implications for radiotherapy-based treatment outcomes.

Authors:  Shang-Wen Chen; Wei-Chih Shen; Ying-Chun Lin; Rui-Yun Chen; Te-Chun Hsieh; Kuo-Yang Yen; Chia-Hung Kao
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-20       Impact factor: 9.236

5.  Comparison of Contrast-Enhanced CT and [18F]FDG PET/CT Analysis Using Kurtosis and Skewness in Patients with Primary Colorectal Cancer.

Authors:  Franca Wagner; Yahya Ali Hakami; Geoffrey Warnock; Gabriel Fischer; Martin W Huellner; Patrick Veit-Haibach
Journal:  Mol Imaging Biol       Date:  2017-10       Impact factor: 3.488

6.  Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.

Authors:  Muhammad Shafiq-Ul-Hassan; Geoffrey G Zhang; Kujtim Latifi; Ghanim Ullah; Dylan C Hunt; Yoganand Balagurunathan; Mahmoud Abrahem Abdalah; Matthew B Schabath; Dmitry G Goldgof; Dennis Mackin; Laurence Edward Court; Robert James Gillies; Eduardo Gerardo Moros
Journal:  Med Phys       Date:  2017-03       Impact factor: 4.071

Review 7.  State-Of-The-Art and Recent Advances in Quantification for Therapeutic Follow-Up in Oncology Using PET.

Authors:  Thomas Carlier; Clément Bailly
Journal:  Front Med (Lausanne)       Date:  2015-03-23

Review 8.  False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review.

Authors:  Anastasia Chalkidou; Michael J O'Doherty; Paul K Marsden
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

9.  A method for comparing intra-tumoural radioactivity uptake heterogeneity in preclinical positron emission tomography studies.

Authors:  Jonas Grafström; Hanna-Stina Ahlzén; Sharon Stone-Elander
Journal:  EJNMMI Phys       Date:  2015-09-08

10.  The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis.

Authors:  Ralph T H Leijenaar; Georgi Nalbantov; Sara Carvalho; Wouter J C van Elmpt; Esther G C Troost; Ronald Boellaard; Hugo J W L Aerts; Robert J Gillies; Philippe Lambin
Journal:  Sci Rep       Date:  2015-08-05       Impact factor: 4.379
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