Main description:

This book equips readers with detailed knowledge on the current status of image-guided radiotherapy with photons and particles and highlights issues that need to be addressed in order to further improve treatment outcomes. The opening chapters cover clinical and technical aspects of target volume definition using anatomic (computed tomography and magnetic resonance imaging; MRI) as well as functional (MRI and positron emission tomography) imaging. Up-to-date information is then provided on the full range of image-guided high-precision radiotherapy techniques, including IMRT/VMAT, stereotactic body radiation therapy, MR-guided linear accelerators, MR-guided brachytherapy, and particle therapy. The role of ultrasonography in image-guided radiotherapy is discussed, as are the available means for target volume demarcation and stabilization and adaptive radiation therapy. Finally, outcome evaluation is explored in depth, with a particular focus on the role of multimodality imaging in predicting tumor control and normal tissue toxicity. The authors are experts in different specialties and the book will be of high value for radiation oncologists, medical physicists, radiologists, nuclear medicine physicians, and radiation technicians.

Contents:

PART I: Target volume definition1. Use of FDG-PET for target volume definition in radiotherapy

2. Definition of the biological target volume based on PET (lung, rectum, brain)

3. Use of anatomical and functional MRI in radiation treatment planning

PART II: Image-guided RT techniques

4. Introduction in available in-room equipment for online positioning

5. IMRT/VMAT, SABR

6. MR-integrated linear accelerators - concepts

7. MR-integrated linear accelerators - first clinical results

8. MR-guided brachytherapy

9. Ultrasonography in image-guided radiotherapy - current status and future challenges

10. Image-guided particle therapy

11. Means for target volume demarcation and stabilisation (fiducial markers, balloons, spaceOR)

12. Adaptive radiation therapy

13. AI for image-guided radiotherapy

PART III: Outcome evaluation

14. Multimodality imaging for prediction of tumour control following radiotherapy

15. Modelling for radiation treatment outcome