Minimizing preparation time for repeated prolonged deep-inspiration breath holds during breast cancer irradiation using pre-oxygenation with high-flow nasal oxygen and voluntary hyperventilation.

Objectives: Deep inspiration breath-holds (DIBHs) reduce heart and lung toxicity during breast cancer radiotherapy. Consecutive DIBHs are stressful, time-consuming, and leads to position changes. To facilitate the introduction of pre-oxygenation using high-flow nasal oxygen (HFNO) and hyperventilation to prolong DIBHs (L-DIBHs), we examined the effect of hyperventilation time on the duration of L-DIBHs.

Exclusion of non-Involved uterus from the target volume (EXIT-trial): An individualized treatment for locally advanced cervical cancer using modern radiotherapy and imaging techniques followed by completion surgery.

Background And Purpose: Chemoradiotherapy followed by brachytherapy is the standard of care for locally advanced cervical cancer (LACC). In this study, we postulate that omitting an iconographical unaffected uterus (+12 mm distance from the tumour) from the treatment volume is safe and that no tumour will be found in the non-targeted uterus (NTU) leading to reduction of high-dose volumes of surrounding organs at risk (OARs).

Material And Methods: In this single-arm phase 2 study, two sets of target volumes were delineated: one standard-volume (whole uterus) and an EXIT-volume (exclusion of non-tumour-bearing parts of the uterus with a minimum 12 mm margin from the tumour).

Assessing the reliability of point mutation as data augmentation for deep learning with genomic data.

Background: Deep neural networks (DNNs) have the potential to revolutionize our understanding and treatment of genetic diseases. An inherent limitation of deep neural networks, however, is their high demand for data during training. To overcome this challenge, other fields, such as computer vision, use various data augmentation techniques to artificially increase the available training data for DNNs.

Disease Control and Late Toxicity in Adaptive Dose Painting by Numbers Versus Nonadaptive Radiation Therapy for Head and Neck Cancer: A Randomized Controlled Phase 2 Trial.

Purpose: Local recurrence remains the main cause of death in stage III-IV nonmetastatic head and neck cancer (HNC), with relapse-prone regions within high F-fluorodeoxyglucose positron emission tomography (F-FDG-PET)-signal gross tumor volume. We investigated if dose escalation within this subvolume combined with a 3-phase treatment adaptation could increase local (LC) and regional (RC) control at equal or minimized radiation-induced toxicity, by comparing adaptive F-FDG-PET voxel intensity-based dose painting by numbers (A-DPBN) with nonadaptive standard intensity modulated radiation therapy (S-IMRT).

Methods And Materials: This 2-center randomized controlled phase 2 trial assigned (1:1) patients to receive A-DPBN or S-IMRT (+/-chemotherapy).

Incidence and radiotherapy treatment patterns of complicated bone metastases.

Background: Despite the encouraging results of the SCORAD trial, single fraction radiotherapy (SFRT) remains underused for patients with complicated bone metastases with rates as low as 18-39%. We aimed to evaluate the incidence and treatment patterns of these metastases in patients being referred to a tertiary centre for palliative radiotherapy.

Materials And Methods: We performed a retrospective review of all bone metastases treated at our centre from January 2013 until December 2017.