Literature DB >> 23754764

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

Floris H P van Velden, Ronald Boellaard.   

Abstract

Mesh：

Year:  2013        PMID： 23754764     DOI： 10.1007/s00259-013-2474-z

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


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  6 in total

1.  Area under the cumulative SUV-volume histogram is not a viable metric of intratumoral metabolic heterogeneity.

Authors:  Frank J Brooks
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-03-23       Impact factor: 9.236

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

3.  Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies.

Authors:  Floris H P van Velden; Patsuree Cheebsumon; Maqsood Yaqub; Egbert F Smit; Otto S Hoekstra; Adriaan A Lammertsma; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-05-27       Impact factor: 9.236

4.  Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT.

Authors:  Tadashi Watabe; Mitsuaki Tatsumi; Hiroshi Watabe; Kayako Isohashi; Hiroki Kato; Masahiro Yanagawa; Eku Shimosegawa; Jun Hatazawa
Journal:  Ann Nucl Med       Date:  2011-12-21       Impact factor: 2.668

Review 5.  Radiomics: extracting more information from medical images using advanced feature analysis.

Authors:  Philippe Lambin; Emmanuel Rios-Velazquez; Ralph Leijenaar; Sara Carvalho; Ruud G P M van Stiphout; Patrick Granton; Catharina M L Zegers; Robert Gillies; Ronald Boellard; André Dekker; Hugo J W L Aerts
Journal:  Eur J Cancer       Date:  2012-01-16       Impact factor: 9.162

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
  6 in total
  2 in total

1.  Area under the cumulative SUV-volume histogram is not a viable metric of intratumoral metabolic heterogeneity: further comments.

Authors:  Frank J Brooks
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-10-09       Impact factor: 9.236

2.  Effects of reusing baseline volumes of interest by applying (non-)rigid image registration on positron emission tomography response assessments.

Authors:  Floris H P van Velden; Ida A Nissen; Wendy Hayes; Linda M Velasquez; Otto S Hoekstra; Ronald Boellaard
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240
  2 in total

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