Image guidance and interfractional anatomical variation in paediatric abdominal radiotherapy.

OBJECTIVES: To identify variables predicting interfractional anatomical variations measured with cone-beam CT (CBCT) throughout abdominal paediatric radiotherapy, and to assess the potential of surface-guided radiotherapy (SGRT) to monitor these changes. METHODS: Metrics of variation in gastrointestinal (GI) gas volume and separation of the body contour and abdominal wall were calculated from 21 planning CTs and 77 weekly CBCTs for 21 abdominal neuroblastoma patients (median 4 years, range: 2 - 19 years). Age, sex, feeding tubes, and general anaesthesia (GA) were explored as predictive variables for anatomical variation. Furthermore, GI gas variation was correlated with changes in body and abdominal wall separation, as well as simulated SGRT metrics of translational and rotational corrections between CT/CBCT. RESULTS: GI gas volumes varied 74 ± 54 ml across all scans, while body and abdominal wall separation varied 2.0 ± 0.7 mm and 4.1 ± 1.5 mm from planning, respectively. Patients < 3.5 years (p = 0.04) and treated under GA (p < 0.01) experienced greater GI gas variation; GA was the strongest predictor in multivariate analysis (p < 0.01). Absence of feeding tubes was linked to greater body contour variation (p = 0.03). GI gas variation correlated with body (R = 0.53) and abdominal wall (R = 0.63) changes. The strongest correlations with SGRT metrics were found for anterior-posterior translation (R = 0.65) and rotation of the left-right axis (R = -0.36). CONCLUSIONS: Young age, GA, and absence of feeding tubes were linked to stronger interfractional anatomical variation and are likely indicative of patients benefiting from adaptive/robust planning pathways. Our data suggest a role for SGRT to inform the need for CBCT at each treatment fraction in this patient group. ADVANCES IN KNOWLEDGE: This is the first study to suggest the potential role of SGRT for the management of internal interfractional anatomical variation in paediatric abdominal radiotherapy.

Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy.

Objective. Adaptive radiotherapy workflows require images with the quality of computed tomography (CT) for re-calculation and re-optimisation of radiation doses. In this work we aim to improve the quality of on-board cone beam CT (CBCT) images for dose calculation using deep learning.Approach. We propose a novel framework for CBCT-to-CT synthesis using cycle-consistent Generative Adversarial Networks (cycleGANs). The framework was tailored for paediatric abdominal patients, a challenging application due to the inter-fractional variability in bowel filling and small patient numbers. We introduced to the networks the concept of global residuals only learning and modified the cycleGAN loss function to explicitly promote structural consistency between source and synthetic images. Finally, to compensate for the anatomical variability and address the difficulties in collecting large datasets in the paediatric population, we applied a smart 2D slice selection based on the common field-of-view (abdomen) to our imaging dataset. This acted as a weakly paired data approach that allowed us to take advantage of scans from patients treated for a variety of malignancies (thoracic-abdominal-pelvic) for training purposes. We first optimised the proposed framework and benchmarked its performance on a development dataset. Later, a comprehensive quantitative evaluation was performed on an unseen dataset, which included calculating global image similarity metrics, segmentation-based measures and proton therapy-specific metrics.Main results. We found improved performance for our proposed method, compared to a baseline cycleGAN implementation, on image-similarity metrics such as Mean Absolute Error calculated for a matched virtual CT (55.0 ± 16.6 HU proposed versus 58.9 ± 16.8 HU baseline). There was also a higher level of structural agreement for gastrointestinal gas between source and synthetic images measured using the dice similarity coefficient (0.872 ± 0.053 proposed versus 0.846 ± 0.052 baseline). Differences found in water-equivalent thickness metrics were also smaller for our method (3.3 ± 2.4% proposed versus 3.7 ± 2.8% baseline).Significance. Our findings indicate that our innovations to the cycleGAN framework improved the quality and structure consistency of the synthetic CTs generated.

The spleen as an organ at risk in paediatric radiotherapy: A SIOP-Europe Radiation Oncology Working Group report.

BACKGROUND: Radiation may cause long-term splenic dysfunction, risking potentially fatal late sepsis. We aimed to review this complication's magnitude in paediatric radiotherapy and gauge the level of awareness of the spleen as an organ at risk. METHODS: Clinical trial protocols and radiotherapy guidelines, patient/parent information sheets, and professional guidance documents were reviewed to assess the perceived risk of radiotherapy-related splenic dysfunction. Paediatric oncologists and paediatric radiation oncologists across Europe were surveyed to estimate the level of understanding of this risk and to ascertain current practice. Spleen doses received in practice were examined. A systematic review of relevant publications was undertaken. RESULTS: The risk is not mentioned in most clinical trials, patient information leaflets, or professional guidance documents. When mentioned, a threshold dose of 40 Gy is cited. The survey showed only limited awareness. More than half of patients assessed received spleen doses in excess of 10 Gy. The systematic review identified one paper reporting a relative mortality risk of 5.5 with spleen doses in the 10-20 Gy range. CONCLUSIONS: The risk of mortality from overwhelming infection is poorly recognised. We therefore recommend routine delineation of the spleen. Protocols and guidelines should give a spleen dose objective as low as reasonably achievable, ideally mean <10 Gy without compromise to target volumes. Revised evidence-based guidelines and continuing professional development activities should inform oncologists. Patient/parent information should mention the risk and the dose received be communicated to colleagues. Antibiotic prophylaxis and/or (re)vaccination should be considered if the mean spleen dose is ≥10 Gy.

Quality improvement in paediatric radiation oncology through peer review.

INTRODUCTION: Around 300 children in Australia and New Zealand (ANZ) undergo a course of radiation treatment (RT) each year. A fortnightly videoconference for radiation oncologists managing children started in 2013. We conducted an audit of the videoconference to assess its influence on the care of children who receive RT in ANZ. METHODS: De-identified data from minutes (August 2013-December 2019) were analysed retrospectively using three categories: meeting participation, case presentations and management decisions. RESULTS: There were 119 meetings and 334 children discussed over the six-year audit period with regular attendance from four of 11 centres treating children in ANZ. Most cases (80%) were discussed prior to RT. A change in the overall management plan was recommended for around one in eight patients (35/334, 13%). RT plan reviews were performed in 79 cases (23%). Adjustments were made to the target volume contours or treatment plan in 8% (6/79). CONCLUSION: Increasing the frequency of the meeting to weekly and compliant with the RANZCR Peer Review Audit Tool has the capacity to review all paediatric RT patients in ANZ prior to RT and initiate changes for as many as one in eight children treated by RT each year. The meeting should be considered a core component necessary to maintain expertise in paediatric RT in all centres providing RT for children in ANZ while also acting as a proton referral panel as more children are referred abroad for proton therapy before the Australian Bragg Centre for Proton Therapy opens in Adelaide in 2024.