Publications by authors named "A M Bel"

Purpose: Accurate radiation therapy (RT) for lung cancer is challenging because of the respiratory motion of the tumor and surrounding organs at risk. Recently, non-invasive mechanical ventilation (NIMV) has been investigated as a novel respiratory motion management strategy. Using NIMV, respiratory motion can be minimized, while a larger lung volume yields less overall lung dose.

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Background: During the day-night cycle, gravity and applied stress to the body mass and spine causes a decrease in body height, which is restored overnight. This diurnal spine length variation has not yet been quantified during radiotherapy. Therefore, we aimed to quantify diurnal spine length variation on cone beam CTs (CBCTs) of pediatric patients (< 18 years) who underwent radiotherapy.

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Purpose: The study assesses the clinical implementation of radiation therapist (RTT)-only Conebeam CT (CBCT)-guided online adaptive focal radiotherapy (oART) for bladder cancer, by describing the training program, analyzing the workflow and monitoring patient experience.

Materials And Methods: Bladder cancer patients underwent treatment (20 sessions) on a ring-based linac (Ethos, Varian, a Siemens Healthineers Company, USA). Commencing April 2021, 14 patients were treated by RTTs supervised by the Radiation Oncologist (RO) and Medical Physics Expert (MPE) in a multidisciplinary workflow.

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Article Synopsis
  • Bladder radiotherapy can be tricky because the size and shape of the bladder can change daily, making it hard to treat tumors effectively while avoiding damage to healthy tissue.
  • A study compared a new method called online adaptive radiotherapy (oART), which adjusts daily to these changes, with the old method that doesn’t adjust (non-ART).
  • Results showed that oART not only effectively targeted the bladder cancer but also reduced radiation exposure to healthy organs, meaning fewer side effects for the patient over two years.
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Article Synopsis
  • The study looked at a new way to treat bladder cancer using a computer program that can automatically adjust daily treatments without needing a doctor to make changes each time.
  • They tested this method on 17 patients, focusing on how well the computer's work matched up with the usual treatment techniques.
  • The results showed that while the computer did a good job, there were still some differences in how the treatment areas were outlined compared to the traditional method used by doctors.
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