Microscopic disease extension in three dimensions for non-small-cell lung cancer: development of a prediction model using pathology-validated positron emission tomography and computed tomography features.

@article{Loon2012MicroscopicDE,
  title={Microscopic disease extension in three dimensions for non-small-cell lung cancer: development of a prediction model using pathology-validated positron emission tomography and computed tomography features.},
  author={Judith G M van Loon and Christian Siedschlag and Joep Stroom and H. Blauwgeers and Robert-Jan van Suylen and Joost L Knegjens and Maddalena Rossi and Angela A W van Baardwijk and Liesbeth Boersma and Houke M. Klomp and Wouter Vogel and Sjaak J A Burgers and Kenneth G. A. Gilhuijs},
  journal={International journal of radiation oncology, biology, physics},
  year={2012},
  volume={82 1},
  pages={
          448-56
        }
}
PURPOSE One major uncertainty in radiotherapy planning of non-small-cell lung cancer concerns the definition of the clinical target volume (CTV), meant to cover potential microscopic disease extension (MDE) around the macroscopically visible tumor. The primary aim of this study was to establish pretreatment risk factors for the presence of MDE. The secondary aim was to establish the impact of these factors on the accuracy of positron emission tomography (PET) and computed tomography (CT) to… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 25 CITATIONS

Pathology-validated PET image data sets and their role in PET segmentation

  • Clinical and Translational Imaging
  • 2014
VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Comparison of SUVmax and SUVpeak based segmentation to determine primary lung tumour volume on FDG PET-CT correlated with pathology data.

  • Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
  • 2018
VIEW 5 EXCERPTS
CITES METHODS & RESULTS

Risks and benefits of reducing target volume margins in breast tangent radiotherapy

  • Australasian Physical & Engineering Sciences in Medicine
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 30 REFERENCES

Defining a radiotherapy target with positron emission tomography.

  • International journal of radiation oncology, biology, physics
  • 2002
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Analysis of the relative deformation of lung lobes before and after surgery in patients with NSCLC

C Siedschlag, J van Loon, A van Baardwijk
  • Phys Med Biol
  • 2009
VIEW 2 EXCERPTS

The integration of PET-CT scans from different hospitals into radiotherapy treatment planning

M Ollers, G Bosmans, A van Baardwijk
  • Radiother Oncol 2008;87:142–146
  • 2008
VIEW 1 EXCERPT