Literature DB >> 20647155

The ESTRO Breur Lecture 2009. From population to voxel-based radiotherapy: exploiting intra-tumour and intra-organ heterogeneity for advanced treatment of non-small cell lung cancer.

Philippe Lambin1, Steven F Petit, Hugo J W L Aerts, Wouter J C van Elmpt, Cary J G Oberije, Maud H W Starmans, Ruud G P M van Stiphout, Guus A M S van Dongen, Kristoff Muylle, Patrick Flamen, André L A J Dekker, Dirk De Ruysscher.   

Abstract

Evidence is accumulating that radiotherapy of non-small cell lung cancer patients can be optimized by escalating the tumour dose until the normal tissue tolerances are met. To further improve the therapeutic ratio between tumour control probability and the risk of normal tissue complications, we firstly need to exploit inter patient variation. This variation arises, e.g. from differences in tumour shape and size, lung function and genetic factors. Secondly improvement is achieved by taking into account intra-tumour and intra-organ heterogeneity derived from molecular and functional imaging. Additional radiation dose must be delivered to those parts of the tumour that need it the most, e.g. because of increased radio-resistance or reduced therapeutic drug uptake, and away from regions inside the lung that are most prone to complication. As the delivery of these treatments plans is very sensitive for geometrical uncertainties, probabilistic treatment planning is needed to generate robust treatment plans. The administration of these complicated dose distributions requires a quality assurance procedure that can evaluate the treatment delivery and, if necessary, adapt the treatment plan during radiotherapy. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20647155     DOI: 10.1016/j.radonc.2010.07.001

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  27 in total

Review 1.  Functional MRI for radiotherapy dose painting.

Authors:  Uulke A van der Heide; Antonetta C Houweling; Greetje Groenendaal; Regina G H Beets-Tan; Philippe Lambin
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

Review 2.  Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities.

Authors:  Wouter van Elmpt; Catharina M L Zegers; Marco Das; Dirk De Ruysscher
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

3.  Tensor Regression-based Model to Investigate Heterogeneous Spatial Radiosensitivity After I-125 Seed Implantation for Prostate Cancer.

Authors:  Kazuma Kobayashi; Naoya Murakami; Kana Takahashi; Koji Inaba; Hiroshi Igaki; Ryuji Hamamoto; Jun Itami
Journal:  In Vivo       Date:  2021 Jan-Feb       Impact factor: 2.155

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.  Image-guided radiotherapy: from current concept to future perspectives.

Authors:  David A Jaffray
Journal:  Nat Rev Clin Oncol       Date:  2012-11-20       Impact factor: 66.675

6.  In vivo quantification of hypoxic and metabolic status of NSCLC tumors using [18F]HX4 and [18F]FDG-PET/CT imaging.

Authors:  Catharina M L Zegers; Wouter van Elmpt; Bart Reymen; Aniek J G Even; Esther G C Troost; Michel C Ollers; Frank J P Hoebers; Ruud M A Houben; Jonas Eriksson; Albert D Windhorst; Felix M Mottaghy; Dirk De Ruysscher; Philippe Lambin
Journal:  Clin Cancer Res       Date:  2014-10-14       Impact factor: 12.531

Review 7.  Radiomics: the bridge between medical imaging and personalized medicine.

Authors:  Philippe Lambin; Ralph T H Leijenaar; Timo M Deist; Jurgen Peerlings; Evelyn E C de Jong; Janita van Timmeren; Sebastian Sanduleanu; Ruben T H M Larue; Aniek J G Even; Arthur Jochems; Yvonka van Wijk; Henry Woodruff; Johan van Soest; Tim Lustberg; Erik Roelofs; Wouter van Elmpt; Andre Dekker; Felix M Mottaghy; Joachim E Wildberger; Sean Walsh
Journal:  Nat Rev Clin Oncol       Date:  2017-10-04       Impact factor: 66.675

8.  Response assessment using 18F-FDG PET early in the course of radiotherapy correlates with survival in advanced-stage non-small cell lung cancer.

Authors:  Wouter van Elmpt; Michel Ollers; Anne-Marie C Dingemans; Philippe Lambin; Dirk De Ruysscher
Journal:  J Nucl Med       Date:  2012-08-09       Impact factor: 10.057

9.  Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer.

Authors:  P Veit-Haibach; D De Ruysscher; W van Elmpt; M Das; Martin Hüllner; H Sharifi; K Zegers; B Reymen; P Lambin; J E Wildberger; E G C Troost
Journal:  Radiother Oncol       Date:  2013-09-14       Impact factor: 6.280

10.  International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining.

Authors:  Erik Roelofs; André Dekker; Vincenzo Valentini; Philippe Lambin; Elisa Meldolesi; Ruud G P M van Stiphout
Journal:  Radiother Oncol       Date:  2013-12-03       Impact factor: 6.280

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