Literature DB >> 20541651

The biology underlying molecular imaging in oncology: from genome to anatome and back again.

R J Gillies1, A R Anderson, R A Gatenby, D L Morse.   

Abstract

Cancers are complex, evolving, multiscale ecosystems that are characterized by profound spatial and temporal heterogeneity. The interactions in cancer are non-linear in that small changes in one variable can have large changes on another. These multiple interacting phenotypes and spatial scales can best be understood with appropriate mathematical and computational models. Imaging is central to this investigation because it can non-destructively and longitudinally characterize spatial variations in the tumour phenotype and environment so that the system dynamics over time can be captured quantitatively. Copyright 2010 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Mesh：

Year:  2010        PMID： 20541651      PMCID： PMC4009364          DOI： 10.1016/j.crad.2010.04.005

Source DB:  PubMed          Journal:  Clin Radiol        ISSN： 0009-9260            Impact factor:   2.350


  54 in total

1.  Dynamic contrast-enhanced and diffusion MRI show rapid and dramatic changes in tumor microenvironment in response to inhibition of HIF-1alpha using PX-478.

Authors:  Bénédicte F Jordan; Matthew Runquist; Natarajan Raghunand; Amanda Baker; Ryan Williams; Lynn Kirkpatrick; Garth Powis; Robert J Gillies
Journal:  Neoplasia       Date:  2005-05       Impact factor: 5.715

2.  Correlative feature analysis on FFDM.

Authors:  Yading Yuan; Maryellen L Giger; Hui Li; Charlene Sennett
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

3.  Incorporation of tumor shape into an assessment of spatial heterogeneity for human sarcomas imaged with FDG-PET.

Authors:  F O'Sullivan; S Roy; J O'Sullivan; C Vernon; J Eary
Journal:  Biostatistics       Date:  2005-04       Impact factor: 5.899

4.  Biologic correlates of intratumoral heterogeneity in 18F-FDG distribution with regional expression of glucose transporters and hexokinase-II in experimental tumor.

Authors:  Songji Zhao; Yuji Kuge; Takafumi Mochizuki; Toshiyuki Takahashi; Kunihiro Nakada; Masayuki Sato; Toshiki Takei; Nagara Tamaki
Journal:  J Nucl Med       Date:  2005-04       Impact factor: 10.057

5.  Heterogeneity analysis of Gd-DTPA uptake: improvement in breast lesion differentiation.

Authors:  B Issa; D L Buckley; L W Turnbull
Journal:  J Comput Assist Tomogr       Date:  1999 Jul-Aug       Impact factor: 1.826

Review 6.  MRI in treatment of adult gliomas.

Authors:  John W Henson; Paola Gaviani; R Gilberto Gonzalez
Journal:  Lancet Oncol       Date:  2005-03       Impact factor: 41.316

7.  Water diffusion heterogeneity index in the human brain is insensitive to the orientation of applied magnetic field gradients.

Authors:  Kevin M Bennett; James S Hyde; Kathleen M Schmainda
Journal:  Magn Reson Med       Date:  2006-08       Impact factor: 4.668

8.  Glioblastoma multiforme: radiologic-pathologic correlation.

Authors:  J H Rees; J G Smirniotopoulos; R V Jones; K Wong
Journal:  Radiographics       Date:  1996-11       Impact factor: 5.333

9.  A fluorinated glucose analog, 2-fluoro-2-deoxy-D-glucose (F-18): nontoxic tracer for rapid tumor detection.

Authors:  P Som; H L Atkins; D Bandoypadhyay; J S Fowler; R R MacGregor; K Matsui; Z H Oster; D F Sacker; C Y Shiue; H Turner; C N Wan; A P Wolf; S V Zabinski
Journal:  J Nucl Med       Date:  1980-07       Impact factor: 10.057

10.  The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations.

Authors:  M O Leach; K M Brindle; J L Evelhoch; J R Griffiths; M R Horsman; A Jackson; G C Jayson; I R Judson; M V Knopp; R J Maxwell; D McIntyre; A R Padhani; P Price; R Rathbone; G J Rustin; P S Tofts; G M Tozer; W Vennart; J C Waterton; S R Williams; P Workman
Journal:  Br J Cancer       Date:  2005-05-09       Impact factor: 7.640
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  35 in total

Review 1.  Personalized radiotherapy: concepts, biomarkers and trial design.

Authors:  A H Ree; K R Redalen
Journal:  Br J Radiol       Date:  2015-05-20       Impact factor: 3.039

2.  Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.

Authors:  Dimitris Visvikis; Catherine Cheze Le Rest; Vincent Jaouen; Mathieu Hatt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-06       Impact factor: 9.236

3.  Neural network training for cross-protocol radiomic feature standardization in computed tomography.

Authors:  Vincent Andrearczyk; Adrien Depeursinge; Henning Müller
Journal:  J Med Imaging (Bellingham)       Date:  2019-06-06

Review 4.  Predicting outcomes in radiation oncology--multifactorial decision support systems.

Authors:  Philippe Lambin; Ruud G P M van Stiphout; Maud H W Starmans; Emmanuel Rios-Velazquez; Georgi Nalbantov; Hugo J W L Aerts; Erik Roelofs; Wouter van Elmpt; Paul C Boutros; Pierluigi Granone; Vincenzo Valentini; Adrian C Begg; Dirk De Ruysscher; Andre Dekker
Journal:  Nat Rev Clin Oncol       Date:  2012-11-20       Impact factor: 66.675

Review 5.  NCTN Assessment on Current Applications of Radiomics in Oncology.

Authors:  Ke Nie; Hania Al-Hallaq; X Allen Li; Stanley H Benedict; Jason W Sohn; Jean M Moran; Yong Fan; Mi Huang; Michael V Knopp; Jeff M Michalski; James Monroe; Ceferino Obcemea; Christina I Tsien; Timothy Solberg; Jackie Wu; Ping Xia; Ying Xiao; Issam El Naqa
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-01-31       Impact factor: 7.038

6.  Responsible Radiomics Research for Faster Clinical Translation.

Authors:  Martin Vallières; Alex Zwanenburg; Bodgan Badic; Catherine Cheze Le Rest; Dimitris Visvikis; Mathieu Hatt
Journal:  J Nucl Med       Date:  2017-11-24       Impact factor: 10.057

7.  Accounting for reconstruction kernel-induced variability in CT radiomic features using noise power spectra.

Authors:  Muhammad Shafiq-Ul-Hassan; Geoffrey G Zhang; Dylan C Hunt; Kujtim Latifi; Ghanim Ullah; Robert J Gillies; Eduardo G Moros
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-14

8.  Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.

Authors:  Yuhua Gu; Virendra Kumar; Lawrence O Hall; Dmitry B Goldgof; Ching-Yen Li; René Korn; Claus Bendtsen; Emmanuel Rios Velazquez; Andre Dekker; Hugo Aerts; Philippe Lambin; Xiuli Li; Jie Tian; Robert A Gatenby; Robert J Gillies
Journal:  Pattern Recognit       Date:  2013-03-01       Impact factor: 7.740

9.  Identifying prognostic intratumor heterogeneity using pre- and post-radiotherapy 18F-FDG PET images for pancreatic cancer patients.

Authors:  Yong Yue; Arsen Osipov; Benedick Fraass; Howard Sandler; Xiao Zhang; Nicholas Nissen; Andrew Hendifar; Richard Tuli
Journal:  J Gastrointest Oncol       Date:  2017-02

10.  Targeting ion transport in cancer.

Authors:  E Oosterwijk; R J Gillies
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-02-03       Impact factor: 6.237
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