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Divide and conquer: spatially fractionated radiation therapy

Published online by Cambridge University Press:  12 January 2022

Yolanda Prezado*
Affiliation:
Institut Curie, CNRS UMR3347, Inserm U1021, Signalisation radiobiologie et cancer Institut Curie, Université PSL, Orsay, France Université Paris-Saclay, CNRS UMR3347, Inserm U1021, Signalisation radiobiologie et cancer, 91400 Orsay, France
*
Author for correspondence: Yolanda Prezado, E-mail: yolanda.prezado@curie.fr
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Abstract

Spatially fractionated radiation therapy (SFRT) challenges some of the classical dogmas in conventional radiotherapy. The highly modulated spatial dose distributions in SFRT have been shown to lead, both in early clinical trials and in small animal experiments, to a significant increase in normal tissue dose tolerances. Tumour control effectiveness is maintained or even enhanced in some configurations as compared with conventional radiotherapy. SFRT seems to activate distinct radiobiological mechanisms, which have been postulated to involve bystander effects, microvascular alterations and/or immunomodulation. Currently, it is unclear which is the dosimetric parameter which correlates the most with both tumour control and normal tissue sparing in SFRT. Additional biological experiments aiming at parametrizing the relationship between the irradiation parameters (beam width, spacing, peak-to-valley dose ratio, peak and valley doses) and the radiobiology are needed. A sound knowledge of the interrelation between the physical parameters in SFRT and the biological response would expand its clinical use, with a higher level of homogenisation in the realisation of clinical trials. This manuscript reviews the state of the art of this promising therapeutic modality, the current radiobiological knowledge and elaborates on future perspectives.

Information

Type
Review
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. Lateral profiles in SFRT and comparison of several forms of SFRT. Taken from (Ref. 17).

Figure 1

Table 1. Summary of the main features of the different techniques in SFRT

Figure 2

Fig. 2. GRID collimator in the tray holder of a Philips SL75/5. Taken from Mohiuddin et al. (Ref. 12).

Figure 3

Fig. 3. Axial, sagittal and coronal views of the dose distribution of a GRID treatment of a head and neck patient. Taken from Penagaricano et al. (Ref. 25).

Figure 4

Fig. 4. Clinical outcomes by patient status. CR, complete response; PD, progressive disease; PR, partial response; SD, stable disease. Taken from (Ref. 29).

Figure 5

Fig. 5. (A) Geometric representation of sphere placement. (B) Axial computed tomography slices of a target with the spheres outlined. (C) Dose distributions after volumetric are therapy planning for the target. Taken with permission from (Ref. 31).

Figure 6

Fig. 6. Does distributions in pMBRT. Taken from (Ref. 17).

Figure 7

Fig. 7. Up: Evaluation of average skin damage scores as a function of follow-up time and irradiation mode. Mean and standard deviation values are represented in the plot. Down: Histology evaluation scoring results showing mean values and standard deviations for the different irradiation modes. Taken from (Ref. 101).