Discontinuous stereotactic body radiotherapy schedule increases overall survival in early-stage non-small cell lung cancer.

Objectives: The duration of stereotactic body radiotherapy (SBRT) for early-stage non-small cell lung cancer (NSCLC) may affect patient outcomes. We aimed to determine the impact of a continuous versus discontinuous SBRT schedule on local control (LC) and overall survival (OS) in NSCLC patients.

Materials And Methods: Consecutive NSCLC stage I patients (475) treated with SBRT in four centers were retrospectively analyzed.

Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers.

Background: There is no evidence to support surgery or radiotherapy as the best treatment for resectable oropharyngeal cancers with a negative HPV status. Predictive algorithms may help to decide which strategy to choose, but they will only be accepted by caregivers and European authorities if they are interpretable. As a proof of concept, we developed a predictive and interpretable algorithm to predict locoregional relapse at 18 months for oropharyngeal cancers as a first step towards that goal.

Review of clinical applications of radiation-enhancing nanoparticles.

Purpose: Clinical evidence of the radiation-enhancing effects of nanoparticles has emerged.

Materials And Methods: We searched the literature in English and French on PubMed up to October 2019. The search term was "nanoparticle" AND "radiotherapy", yielding 1270 results.

Comparison of CBCT-based dose calculation methods in head and neck cancer radiotherapy: from Hounsfield unit to density calibration curve to deep learning.

Purpose: Anatomical variations occur during head and neck (H&N) radiotherapy treatment. kV cone-beam computed tomography (CBCT) images can be used for daily dose monitoring to assess dose variations owing to anatomic changes. Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) from CBCT to perform dose calculation.

Head-and-Neck MRI-only radiotherapy treatment planning: From acquisition in treatment position to pseudo-CT generation.

Purpose: In context of head-and-neck radiotherapy, this study aims to compare MR image quality according to diagnostic (DIAG) and radiotherapy (RT) setups; and to optimise an MRI-protocol (including 3D T and T-weighted sequences) for dose-planning (based on pseudo-CT generation).

Materials And Methods: To compare DIAG and RT setups, signal-to-noise-ratio (SNR) and percentage-image-uniformity (PIU) were computed on T images of phantoms and volunteers. Influence of the sample conductivity on SNR was quantified using homemade phantoms.